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description Publicationkeyboard_double_arrow_right Article 2023 France, Switzerland, Spain, United KingdomPublisher:Elsevier BV Funded by:WT | PubMLST: Disseminating an..., WT | Human Genetics and Diseas..., WT | Investigating the diversi...WT| PubMLST: Disseminating and exploiting bacterial diversity data for public health benefit ,WT| Human Genetics and Disease Biology: Core Renewal for the Wellcome Trust Centre for Human Genetics ,WT| Investigating the diversity, molecular epidemiology, competitive influence and therapeutic potential of pneumococcal bacteriocins using large genome datasetsShaw, David; Abad, Raquel; Amin-Chowdhury, Zahin; Bautista, Adriana; Bennett, Desiree; Broughton, Karen; Cao, Bin; Casanova, Carlo; Choi, Eun Hwa; Chu, Yiu-Wai; Claus, Heike; Coelho, Juliana; Corcoran, Mary; Cottrell, Simon; Cunney, Robert; Cuypers, Lize; Dalby, Tine; Davies, Heather; de Gouveia, Linda; Deghmane, Ala-Eddine; Demczuk, Walter; Desmet, Stefanie; Domenech, Mirian; Drew, Richard; du Plessis, Mignon; Duarte, Carolina; Erlendsdóttir, Helga; Fry, Norman K; Fuursted, Kurt; Hale, Thomas; Henares, Desiree; Henriques-Normark, Birgitta; Hilty, Markus; Hoffmann, Steen; Humphreys, Hilary; Ip, Margaret; Jacobsson, Susanne; Johnson, Christopher; Johnston, Jillian; Jolley, Keith A; Kawabata, Aníbal; Kozakova, Jana; Kristinsson, Karl G; Krizova, Pavla; Kuch, Alicja; Ladhani, Shamez; Lâm, Thiên-Trí; León, María Eugenia; Lindholm, Laura; Litt, David; Maiden, Martin C J; Martin, Irene; Martiny, Delphine; Mattheus, Wesley; McCarthy, Noel D; Meehan, Mary; Meiring, Susan; Mölling, Paula; Morfeldt, Eva; Morgan, Julie; Mulhall, Robert; Muñoz-Almagro, Carmen; Murdoch, David; Murphy, Joy; Musilek, Martin; Mzabi, Alexandre; Novakova, Ludmila; Oftadeh, Shahin; Perez-Argüello, Amaresh; Pérez-Vázquez, Maria; Perrin, Monique; Perry, Malorie; Prevost, Benoit; Roberts, Maria; Rokney, Assaf; Ron, Merav; Sanabria, Olga Marina; Scott, Kevin J; Sheppard, Carmen; Siira, Lotta; Sintchenko, Vitali; Skoczyńska, Anna; Sloan, Monica; Slotved, Hans-Christian; Smith, Andrew J; Steens, Anneke; Taha, Muhamed-Kheir; Toropainen, Maija; Tzanakaki, Georgina; Vainio, Anni; van der Linden, Mark P G; van Sorge, Nina M; Varon, Emmanuelle; Vohrnova, Sandra; von Gottberg, Anne; Yuste, Jose; Zanella, Rosemeire; Zhou, Fei; Brueggemann, Angela B;handle: 20.500.12105/16380
Background: The Invasive Respiratory Infection Surveillance (IRIS) Consortium was established to assess the impact of the COVID-19 pandemic on invasive diseases caused by Streptococcus pneumoniae, Haemophilus influenzae, Neisseria meningitidis, and Streptococcus agalactiae. We aimed to analyse the incidence and distribution of these diseases during the first 2 years of the COVID-19 pandemic compared to the 2 years preceding the pandemic. Methods: For this prospective analysis, laboratories in 30 countries and territories representing five continents submitted surveillance data from Jan 1, 2018, to Jan 2, 2022, to private projects within databases in PubMLST. The impact of COVID-19 containment measures on the overall number of cases was analysed, and changes in disease distributions by patient age and serotype or group were examined. Interrupted time-series analyses were done to quantify the impact of pandemic response measures and their relaxation on disease rates, and autoregressive integrated moving average models were used to estimate effect sizes and forecast counterfactual trends by hemisphere. Findings: Overall, 116 841 cases were analysed: 76 481 in 2018-19, before the pandemic, and 40 360 in 2020-21, during the pandemic. During the pandemic there was a significant reduction in the risk of disease caused by S pneumoniae (risk ratio 0·47; 95% CI 0·40-0·55), H influenzae (0·51; 0·40-0·66) and N meningitidis (0·26; 0·21-0·31), while no significant changes were observed for S agalactiae (1·02; 0·75-1·40), which is not transmitted via the respiratory route. No major changes in the distribution of cases were observed when stratified by patient age or serotype or group. An estimated 36 289 (95% prediction interval 17 145-55 434) cases of invasive bacterial disease were averted during the first 2 years of the pandemic among IRIS-participating countries and territories. Interpretation: COVID-19 containment measures were associated with a sustained decrease in the incidence of invasive disease caused by S pneumoniae, H influenzae, and N meningitidis during the first 2 years of the pandemic, but cases began to increase in some countries towards the end of 2021 as pandemic restrictions were lifted. These IRIS data provide a better understanding of microbial transmission, will inform vaccine development and implementation, and can contribute to health-care service planning and provision of policies. The infrastructure for the IRIS Consortium is funded by a Wellcome Trust Investigator Award to ABB (grant number 206394/Z/17/Z). The IRIS databases are part of PubMLST, which is funded by a Wellcome Trust Biomedical Resource Grant awarded to MJCM, ABB, and KAJ (grant number 218205/Z/19/Z). The high-performance computing requirements of the data analyses were supported by the Wellcome Trust Core Award (grant number 203141/Z/16/Z) and the NIHR Oxford Biomedical Research Centre. This work was also partially supported by research funding from the Spanish Ministry of Science and Innovation (grant PID2020-119298RB-I00 to JY); research grants from Pfizer (grant 69765907) to Seoul National University Hospital, and from the Korea Disease Control and Prevention Agency (grant 2018F240600) to Seoul National University College of Medicine; research funding from the Torsten Söderberg Foundation, Stockholm County Council, and the Swedish Research Council to the Karolinska Institutet, Sweden; research funding from the German Federal Ministry of Health and the Robert Koch Institute (grant 1369-237) to the National Reference Centre for Meningococci and Haemophilus influenzae; research funding from the Robert Koch Institute, Pfizer, and Merck, to the German National Reference Centre for Streptococci; and research funding from the Greek National Public Health Organization (EODY) to the Greek National Meningitis Reference laboratory. The authors were deeply saddened by the sudden death of Professor Ulrich Vogel, who contributed to the IRIS Consortium but more importantly was a dear friend and colleague to many of the authors. The authors are grateful to all those working in the clinical microbiology laboratories who have processed and characterised bacterial isolates that contribute to the IRIS Consortium. Sí
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023Data sources: Recolector de Ciencia Abierta, RECOLECTAOxford University Research Archive; The Lancet: Digital HealthOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 3visibility views 3 download downloads 1 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023Data sources: Recolector de Ciencia Abierta, RECOLECTAOxford University Research Archive; The Lancet: Digital HealthOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 France EnglishPublisher:Free Neuropathology Funded by:ANR | NeurATRIS, WTANR| NeurATRIS ,WTBoluda, Susana; Mokhtari, Karima; Mégarbane, Bruno; Annane, Djillali; Mathon, Bertrand; Cao, Albert; Adam, Clovis; Androuin, Alexandre; Bielle, Franck; Brochier, Guy; Charlotte, Frédéric; Chougar, Lydia; El Hachimi, Khalid Hamid; Eloit, Marc; Haïk, Stéphane; Hervé, Dominique; Kasri, Amal; Leducq, Valentin; Lehéricy, Stéphane; Levavasseur, Etienne; Lobsiger, Christian; Lorin de La Grandmaison, Geoffroy; Malet, Isabelle; Malissin, Isabelle; Marot, Stéphane; Marty, Serge; Pérot, Philippe; Plu, Isabelle; Prigent, Annick; Stimmer, Lev; Potier, Marie-Claude; Marcelin, Anne-Geneviève; Delatour, Benoît; Duyckaerts, Charles; Seilhean, Danielle;In a neuropathological series of 20 COVID-19 cases, we analyzed six cases (three biopsies and three autopsies) with multiple foci predominantly affecting the white matter as shown by MRI. The cases presented with microhemorrhages evocative of small artery diseases. This COVID-19 associated cerebral microangiopathy (CCM) was characterized by perivascular changes: arterioles were surrounded by vacuolized tissue, clustered macrophages, large axonal swellings and a crown arrangement of aquaporin-4 immunoreactivity. There was evidence of blood-brain-barrier leakage. Fibrinoid necrosis, vascular occlusion, perivascular cuffing and demyelination were absent. While no viral particle or viral RNA was found in the brain, the SARS-CoV-2 spike protein was detected in the Golgi apparatus of brain endothelial cells where it closely associated with furin, a host protease known to play a key role in virus replication. Endothelial cells in culture were not permissive to SARS-CoV-2 replication. The distribution of the spike protein in brain endothelial cells differed from that observed in pneumocytes. In the latter, the diffuse cytoplasmic labeling suggested a complete replication cycle with viral release, notably through the lysosomal pathway. In contrast, in cerebral endothelial cells the excretion cycle was blocked in the Golgi apparatus. Interruption of the excretion cycle could explain the difficulty of SARS-CoV-2 to infect endothelial cells in vitro and to produce viral RNA in the brain. Specific metabolism of the virus in brain endothelial cells could weaken the cell walls and eventually lead to the characteristic lesions of COVID-19 associated cerebral microangiopathy. Furin as a modulator of vascular permeability could provide some clues for the control of late effects of microangiopathy. Free Neuropathology, Vol. 4 (2023)
Europe PubMed Centra... arrow_drop_down HAL-Pasteur; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down HAL-Pasteur; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 France, United Kingdom, France, Italy, Italy, Italy, France, United Kingdom, Italy, Italy, United Kingdom, Netherlands, FrancePublisher:Springer Science and Business Media LLC Funded by:WT | Understanding cross-react..., WT | ISARIC, EC | ECRAID-Base +3 projectsWT| Understanding cross-reactive immunity to Japanese encephalitis virus ,WT| ISARIC ,EC| ECRAID-Base ,UKRI| ISARIC - Coronavirus Clinical Characterisation Consortium (ISARIC-4C) ,CIHR ,EC| RECoVERReyes, Luis Felipe; Murthy, Srinivas; Garcia-Gallo, Esteban; Merson, Laura; Ibáñez-Prada, Elsa; Rello, Jordi; Fuentes, Yuli; Martin-Loeches, Ignacio; Bozza, Fernando; Duque, Sara; Taccone, Fabio; Fowler, Robert; Kartsonaki, Christiana; Gonçalves, Bronner; Citarella, Barbara Wanjiru; Aryal, Diptesh; Burhan, Erlina; Cummings, Matthew; Delmas, Christelle; Diaz, Rodrigo; Figueiredo-Mello, Claudia; Hashmi, Madiha; Panda, Prasan Kumar; Jiménez, Miguel Pedrera; Rincon, Diego Fernando Bautista; Thomson, David; Nichol, Alistair; Marshall, John; Olliaro, Piero; Abbas, Ali; Abdukahil, Sheryl Ann; Abe, Ryuzo; Abel, Laurent; Absil, Lara; Acharya, Subhash; Acker, Andrew; Adrião, Diana; Al Ageel, Saleh; Ahmed, Shakeel; Ainscough, Kate; Aisa, Tharwat; Hssain, Ali Ait; Tamlihat, Younes Ait; Akimoto, Takako; Akmal, Ernita; Al Qasim, Eman; Alalqam, Razi; Al-Dabbous, Tala; Alegesan, Senthilkumar; Alegre, Cynthia; Alessi, Marta; Alex, Beatrice; Alexandre, Kévin; Al-Fares, Abdulrahman; Alfoudri, Huda; Ali, Imran; Shah, Naseem Ali; Alidjnou, Kazali Enagnon; Aliudin, Jeffrey; Alkhafajee, Qabas; Allavena, Clotilde; Allou, Nathalie; Altaf, Aneela; Alves, João; Alves, João Melo; Alves, Rita; Cabrita, Joana Alves; Amaral, Maria; Ampaw, Phoebe; Andini, Roberto; Andréjak, Claire; Angheben, Andrea; Angoulvant, François; Ansart, Séverine; Antonelli, Massimo; de Brito, Carlos Alexandre Antunes; Apriyana, Ardiyan; Arabi, Yaseen; Aragao, Irene; Araujo, Carolline; Arcadipane, Antonio; Archambault, Patrick; Arenz, Lukas; Arlet, Jean-Benoît; Arnold-Day, Christel; Arora, Lovkesh; Arora, Rakesh; Artaud-Macari, Elise; Aryal, Diptesh; Asensio, Angel; Asif, Namra; Asim, Mohammad; Assie, Jean Baptiste; Atique, Anika; Attanyake, A.; Auchabie, Johann; Aumaitre, Hugues; Auvet, Adrien; Azemar, Laurène; Azoulay, Cecile; Bach, Benjamin; Bachelet, Delphine; Badr, Claudine; Baig, Nadia; Baillie, J. Kenneth; Bak, Erica; Bakakos, Agamemnon; Bal, Andriy; Balan, Valeria; Bani-Sadr, Firouzé; Barbalho, Renata; Barclay, Wendy; Barnikel, Michaela; Barrasa, Helena; Barrelet, Audrey; Barrigoto, Cleide; Bartoli, Marie; Baruch, Joaquín; Basmaci, Romain; Battaglini, Denise; Bauer, Jules; Dow, Denisse Bazan; Beane, Abigail; Bedossa, Alexandra; Begum, Husna; Behilill, Sylvie; Beishuizen, Albertus; Beljantsev, Aleksandr; Bellemare, David; Beltrame, Anna; Beluze, Marine; Benech, Nicolas; Benkerrou, Dehbia; Bennett, Suzanne; Bento, Luís; Berdal, Jan-Erik; Bergeaud, Delphine; Bergin, Hazel; Sobrino, José Luis Bernal; Bertoli, Giulia; Bertolino, Lorenzo; Bessis, Simon; Bevilcaqua, Sybille; Bezulier, Karine; Bhatt, Amar; Bhavsar, Krishna; Bianco, Claudia; Singh, Moirangthem Bikram; Humaid, Felwa Bin; Bissuel, François; Bitker, Laurent; Bitton, Jonathan; Blanco-Schweizer, Pablo; Blier, Catherine; Bloos, Frank; Blot, Mathieu; Boccia, Filomena; Bodenes, Laetitia; Bogaert, Debby; Boivin, Anne-Hélène; Bolze, Pierre-Adrien; Bompart, François; Borges, Diogo; Borie, Raphaël; Bosse, Hans Martin; Botelho-Nevers, Elisabeth; Bouadma, Lila; Bouchaud, Olivier; Bouchez, Sabelline; Bouhmani, Dounia; Bouhour, Damien; Bouiller, Kévin; Bouillet, Laurence; Bouisse, Camile; Boureau, Anne-Sophie; Bourke, John; Bouscambert, Maude; Bousquet, Aurore; Bouziotis, Jason; Boxma, Bianca; Boyer-Besseyre, Marielle; Boylan, Maria; Braconnier, Axelle; Braga, Cynthia; Brandenburger, Timo; Monteiro, Filipa Brás; Brazzi, Luca; Breen, Dorothy; Breen, Patrick; Brickell, Kathy; Browne, Alex; Browne, Shaunagh; Brusse-Keizer, Marjolein; Buchtele, Nina; Buesaquillo, Christian; Bugaeva, Polina; Buisson, Marielle; Burrell, Aidan; Bustos, Ingrid; Butnaru, Denis; Caceres, Eder; Cattaneo, Paolo; Chen, Yih-Sharng; Cho, Sung-Min; Colombo, Sebastiano Maria; Corley, Amanda; Dahly, Darren; Denis, Emmanuelle; Deplanque, Dominique; Dondorp, Arjen; Dudman, Susanne; Durante-Mangoni, Emanuele; Engelmann, Ilka; Etienne, Manuel; Fernandes, Jorge; Gaymard, Alexandre; Green, Christopher; Haidri, Fakhir; Harrison, Ewen; Hays, Leanne; Hitoto, Hikombo; Ippolito, Mariachiara; Jamieson, Nina; Kelly, Yvelynne; Kennon, Kalynn; Kildal, Anders Benjamin; Kutsogiannis, Demetrios; Laffey, John; Lantang, Eka Yudha; Le Turnier, Paul; Lind, Andreas; Loforte, Antonio; Machado, Sara; Martucci, Gennaro; Masood, Sobia; Mclean, Kenneth; Mone, Mary; Motos, Ana; Munblit, Daniel; Noursadeghi, Mahdad; Ortoleva, Jamel; Patricio, Patricia; Pharand, Scott; Poli, Sergio; Povoa, Pedro; Rau, Cornelius; Riera, Jordi; Sandulescu, Oana; Schaffer, Justin; Schermer, Tjard; Semple, Malcolm; Sequeira, Filipa; Balazote, Pablo Serrano; Shum, Hoi Ping; Streinu-Cercel, Adrian; Suen, Jacky; Summers, Charlotte; Sztajnbok, Jaques; Tejada, Sofia; Terrier, Olivier; Terzi, Nicolas; Thomson, Emma; Trontzas, Ioannis; Turtle, Lance; van der Palen, Job; Ventura, Sara; Shukeri, Wan Fadzlina Wan Muhd; West, T. Eoin; Wils, Evert-Jan;pmid: 36100904
pmc: PMC9469080
Invasive mechanical ventilation; COVID-19; Critical care Ventilación mecánica invasiva; COVID-19; Cuidado crítico Ventilació mecànica invasiva; COVID-19; Atenció crítica Background Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83–7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97–2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14–1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25–1.30]). Conclusions In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. This work was supported by the UK Foreign, Commonwealth, and Development Office and Wellcome [215091/Z/18/Z] and the Bill & Melinda Gates Foundation [OPP1209135]; CIHR Coronavirus Rapid Research Funding Opportunity OV2170359; Grants from Rapid European COVID-19 Emergency Response research (RECOVER) [H2020 Project 101003589] and European Clinical Research Alliance on Infectious Diseases (ECRAID) [965313]; The Imperial NIHR Biomedical Research Centre; The Cambridge NIHR Biomedical Research Centre; and Endorsed by the Irish Critical Care-Clinical Trials Group, co-ordinated in Ireland by the Irish Critical Care-Clinical Trials Network at University College Dublin and funded by the Health Research Board of Ireland [CTN-2014-12]. This work uses Data/Materials provided by patients and collected by the NHS as part of their care and support #DataSavesLives. The Data/materials used for this research were obtained from ISARIC4C. The COVID-19 Clinical Information Network (CO-CIN) data was collated by ISARIC4C Investigators. Data and Material provision were supported by grants from: the National Institute for Health Research (NIHR; award CO-CIN-01), the Medical Research Council (MRC; Grant MC_PC_19059), and the NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections at the University of Liverpool in partnership with Public Health England (PHE), (Award 200907), Wellcome Trust [Turtle, Lance-fellowship 205228/Z/16/Z], NIHR HPRU in Respiratory Infections at Imperial College London with PHE (Award 200927), Liverpool Experimental Cancer Medicine Centre (Grant C18616/A25153), NIHR Biomedical Research Centre at Imperial College London (Award IS-BRC-1215-20013), and NIHR Clinical Research Network providing infrastructure support. This work was possible due to the dedication and hard work of the Norwegian SARS-CoV-2 study team and supported by grants from Research Council of Norway Grant No. 312780 and a philanthropic donation from Vivaldi Invest A/S owned by Jon Stephenson von Tetzchner; The dedication and hard work of the Groote Schuur Hospital Covid ICU Team, and supported by the Groote Schuur nursing and University of Cape Town registrar bodies coordinated by the Division of Critical Care at the University of Cape Town; and supported by the COVID clinical management team, AIIMS, Rishikesh, India.
Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); Archivio istituzionale della ricerca - Università di Palermo; Oxford University Research Archive; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli"; Critical CareOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYData sources: Archivio Istituzionale (AperTO); European Union Open Data Portal; University of Twente Research Information ; University of Groningen Research Portal; Archivio istituzionale della ricerca - Università di Palermo; Oxford University Research Archive; Crossref; NARCIS; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli"Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHAL DescartesArticle . 2022License: CC BYFull-Text: https://hal.science/hal-04372985/documentData sources: HAL DescartesHAL Descartes; HAL-Rennes 1; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); Archivio istituzionale della ricerca - Università di Palermo; Oxford University Research Archive; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli"; Critical CareOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYData sources: Archivio Istituzionale (AperTO); European Union Open Data Portal; University of Twente Research Information ; University of Groningen Research Portal; Archivio istituzionale della ricerca - Università di Palermo; Oxford University Research Archive; Crossref; NARCIS; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli"Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHAL DescartesArticle . 2022License: CC BYFull-Text: https://hal.science/hal-04372985/documentData sources: HAL DescartesHAL Descartes; HAL-Rennes 1; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:MDPI AG Funded by:SFI | DIRECTS: Detecting Innate..., WT | Wellcome – Health Researc..., ANR | INCEPTIONSFI| DIRECTS: Detecting Innate protection against SARS-CoV2 ,WT| Wellcome – Health Research Board Irish Clinical Academic Training Programme ,ANR| INCEPTIONLaura Garcia; Tom Woudenberg; Jason Rosado; Adam H. Dyer; Françoise Donnadieu; Delphine Planas; Timothée Bruel; Olivier Schwartz; Thierry Prazuck; Aurélie Velay; Samira Fafi-Kremer; Isabella Batten; Conor Reddy; Emma Connolly; Matt McElheron; Sean P. Kennelly; Nollaig M. Bourke; Michael T. White; Stéphane Pelleau;International audience; Serological assays capable of measuring antibody responses induced by previous infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been critical tools in the response to the COVID-19 pandemic. In this study, we use bead-based multiplex assays to measure IgG and IgA antibodies and IgG avidity to five SARS-CoV-2 antigens (Spike (S), receptor-binding domain (RBD), Nucleocapsid (N), S subunit 2, and Membrane-Envelope fusion (ME)). These assays were performed in several cohorts of healthcare workers and nursing home residents, who were followed for up to eleven months after SARS-CoV-2 infection or up to six months after vaccination. Our results show distinct kinetic patterns of antibody quantity (IgG and IgA) and avidity. While IgG and IgA antibody levels waned over time, with IgA antibody levels waning more rapidly, avidity increased with time after infection or vaccination. These contrasting kinetic patterns allow for the estimation of time since previous SARS-CoV-2 infection. Including avidity measurements in addition to antibody levels in a classification algorithm for estimating time since infection led to a substantial improvement in accuracy, from 62% to 78%. The inclusion of antibody avidity in panels of serological assays can yield valuable information for improving serosurveillance during SARS-CoV-2 epidemics.
Viruses arrow_drop_down VirusesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/1999-4915/14/7/1491/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Viruses arrow_drop_down VirusesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/1999-4915/14/7/1491/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/v14071491&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:MDPI AG Funded by:WTWTAuthors: Ala-Eddine Deghmane; Muhamed-Kheir Taha;Ala-Eddine Deghmane; Muhamed-Kheir Taha;BackgroundSince the appearance of COVID-19 in January 2020, invasive bacterial infections have decreased significantly worldwide. However, alterations in age and sex distributions, clinical forms, phenotypes, and genotypes of isolates have not been analyzed. Our goal is to present and discuss these data considering the current COVID-19 pandemic situation. Methods: The data of the national reference center for meningococci and Haemophilus influenzae in France were mined to examine the above aspects of invasive bacterial infection before (2018–2019) and after (2020–2021) the COVID-19 pandemic. Detailed epidemiological, clinical, and microbiological data were collected, and whole genome sequencing was carried out on meningococcal isolates (n = 1466). Results: In addition to the overall decline in the number of cases, various changes in age, sex, and phenotypes of isolates were also noted. As for N. meningitidis, more cases were observed in adults, as well as more invasive pneumopathies. Furthermore, fewer hyperinvasive meningococcal genotypes have circulated since COVID-19 emerged. The situation has been different for H. influenzae, as the number of invasive cases among adults decreased due to a reduction in non-typeable isolates. In contrast, cases due to serotypeable isolates, particularly serotypes a and b, increased in children Conclusions: It is possible that measures implemented to stop COVID-19 may have reduced the circulation of N. meningitidis and H. influenzae isolates, but to a variable extent. This may be due to differences in circulation between these two species according to age groups. Vaccination schedules against these two species may have also influenced the evolution of these invasive bacterial infections since the emergence of the COVID-19 pandemic.
Microorganisms arrow_drop_down MicroorganismsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2076-2607/10/5/907/pdfHAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-04133462/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 18 citations 18 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Microorganisms arrow_drop_down MicroorganismsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2076-2607/10/5/907/pdfHAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-04133462/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article , Preprint 2022 France, United Kingdom, SwitzerlandPublisher:Cold Spring Harbor Laboratory Funded by:WT | Lassa outbreak response: ..., NIH | Genomic Characterization ..., NIH | Role of Data Streams In I... +19 projectsWT| Lassa outbreak response: early intervention and community response capacity in Ondo, Edo and Ebonyi states, Nigeria ,NIH| Genomic Characterization and Surveillance of Microbial Threats in West Africa ,NIH| Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa ,UKRI| Microbial Communities in the Food Chain ,NIH| West African Emerging Infectious Disease Research Center (WA-EIDRC) ,NIH| Administrative Core ,NIH| Expansion of research and mentoring to improve birth outcomes and treatment outcomes among HIV-affected children in Botswana ,WT| Characterization of SARS-CoV-2 transmission dynamics, clinical features and disease impact in South Africa, a setting with high HIV prevalence ,WT| COVID-19 Intervention Modelling for East Africa (CIMEA) ,WT| Sub-Saharan African Network for TB/HIV research Excellence (SANTHE) ,NIH| University of Washington Arboviral Research Network (UWARN) ,WT| African COVID-19 Preparedness (AFRICO19) ,UKRI| Research Infrastructure ,NIH| West African Center of Excellence for Global Health Bioinformatics Research Training ,NIH| Host and Microbial Genetic Determinants of Febrile Illness in West Africa ,NIH| Addressing Major HIV Prevention and Health Outcomes Questions in an Era of Universal ART: Mentoring in a Community-Randomized Trial ,UKRI| Epidemiology and Evolution of Pathogens in the Food Chain ,WT| Centre for Infectious Diseases Research in Africa (CIDRI-Africa) ,NIH| Research on the Epidemiology,Prevention,Vaccine Effectiveness and Treatment of Influenza and Other Respiratory Viruses in South Africa.09 ,NIH| H3ABioNet: a sustainable African Bioinformatics Network for H3Africa ,NIH| Fogarty HIV Research Training Program for Low and Middle-Income Countries ,EC| NEXTCESGAHouriiyah Tegally; James E. San; Matthew Cotten; Monika Moir; Bryan Tegomoh; Gerald Mboowa; Darren P. Martin; Cheryl Baxter; Arnold W. Lambisia; Amadou Diallo; Daniel G. Amoako; Moussa M. Diagne; Abay Sisay; Abdel-Rahman N. Zekri; Abdou Salam Gueye; Abdoul K. Sangare; Abdoul-Salam Ouedraogo; Abdourahmane Sow; Abdualmoniem O. Musa; Abdul K. Sesay; Abe G. Abias; Adam I. Elzagheid; Adamou Lagare; Adedotun-Sulaiman Kemi; Aden Elmi Abar; Adeniji A. Johnson; Adeola Fowotade; Adeyemi O. Oluwapelumi; Adrienne A. Amuri; Agnes Juru; Ahmed Kandeil; Ahmed Mostafa; Ahmed Rebai; Ahmed Sayed; Akano Kazeem; Aladje Balde; Alan Christoffels; Alexander J. Trotter; Allan Campbell; Alpha K. Keita; Amadou Kone; Amal Bouzid; Amal Souissi; Ambrose Agweyu; Amel Naguib; Ana V. Gutierrez; Anatole Nkeshimana; Andrew J. Page; Anges Yadouleton; Anika Vinze; Anise N. Happi; Anissa Chouikha; Arash Iranzadeh; Arisha Maharaj; Armel L. Batchi-Bouyou; Arshad Ismail; Augustina A. Sylverken; Augustine Goba; Ayoade Femi; Ayotunde E. Sijuwola; Baba Marycelin; Babatunde L. Salako; Bamidele S. Oderinde; Bankole Bolajoko; Bassirou Diarra; Belinda L. Herring; Benjamin Tsofa; Bernard Lekana-Douki; Bernard Mvula; Berthe-Marie Njanpop-Lafourcade; Blessing T. Marondera; Bouh Abdi Khaireh; Bourema Kouriba; Bright Adu; Brigitte Pool; Bronwyn McInnis; Cara Brook; Carolyn Williamson; Cassien Nduwimana; Catherine Anscombe; Catherine B. Pratt; Cathrine Scheepers; Chantal G. Akoua-Koffi; Charles N. Agoti; Chastel M. Mapanguy; Cheikh Loucoubar; Chika K. Onwuamah; Chikwe Ihekweazu; Christian N. Malaka; Christophe Peyrefitte; Chukwa Grace; Chukwuma E. Omoruyi; Clotaire D. Rafaï; Collins M. Morang’a; Cyril Erameh; Daniel B. Lule; Daniel J. Bridges; Daniel Mukadi-Bamuleka; Danny Park; David A. Rasmussen; David Baker; David J. Nokes; Deogratius Ssemwanga; Derek Tshiabuila; Dominic S. Y. Amuzu; Dominique Goedhals; Donald S. Grant; Donwilliams O. Omuoyo; Dorcas Maruapula; Dorcas W. Wanjohi; Ebenezer Foster-Nyarko; Eddy K. Lusamaki; Edgar Simulundu; Edidah M. Ong’era; Edith N. Ngabana; Edward O. Abworo; Edward Otieno; Edwin Shumba; Edwine Barasa; El Bara Ahmed; Elhadi A. Ahmed; Emmanuel Lokilo; Enatha Mukantwari; Eromon Philomena; Essia Belarbi; Etienne Simon-Loriere; Etilé A. Anoh; Eusebio Manuel; Fabian Leendertz; Fahn M. Taweh; Fares Wasfi; Fatma Abdelmoula; Faustinos T. Takawira; Fawzi Derrar; Fehintola V. Ajogbasile; Florette Treurnicht; Folarin Onikepe; Francine Ntoumi; Francisca M. Muyembe; Frank E. Z. Ragomzingba; Fred A. Dratibi; Fred-Akintunwa Iyanu; Gabriel K. Mbunsu; Gaetan Thilliez; Gemma L. Kay; George O. Akpede; Gert U. van Zyl; Gordon A. Awandare; Grace S. Kpeli; Grit Schubert; Gugu P. Maphalala; Hafaliana C. Ranaivoson; Hannah E. Omunakwe; Harris Onywera; Haruka Abe; Hela Karray; Hellen Nansumba; Henda Triki; Herve Albéric Adje Kadjo; Hesham Elgahzaly; Hlanai Gumbo; Hota Mathieu; Hugo Kavunga-Membo; Ibtihel Smeti; Idowu B. Olawoye; Ifedayo M. O. Adetifa; Ikponmwosa Odia; Ilhem Boutiba Ben Boubaker; Iluoreh Ahmed Muhammad; Isaac Ssewanyana; Isatta Wurie; Iyaloo S. Konstantinus; Jacqueline Wemboo Afiwa Halatoko; James Ayei; Janaki Sonoo; Jean-Claude C. Makangara; Jean-Jacques M. Tamfum; Jean-Michel Heraud; Jeffrey G. Shaffer; Jennifer Giandhari; Jennifer Musyoki; Jerome Nkurunziza; Jessica N. Uwanibe; Jinal N. Bhiman; Jiro Yasuda; Joana Morais; Jocelyn Kiconco; John D. Sandi; John Huddleston; John K. Odoom; John M. Morobe; John O. Gyapong; John T. Kayiwa; Johnson C. Okolie; Joicymara S. Xavier; Jones Gyamfi; Joseph F. Wamala; Joseph H. K. Bonney; Joseph Nyandwi; Josie Everatt; Joyce Namulondo; Judith U. Oguzie; Julius J. Lutwama; Katherine J. Siddle; Kefentse A. Tumedi; Kevin S. Carvalho; Khadija Said Mohammed; Kwabena O. Duedu; Lavanya Singh; Lenora M. Kepler; Leon Biscornet; Leonardo de Oliveira Martins; Luicer Olubayo; Lynette I. Ochola-Oyier; Lynn Tyers; Magalutcheemee Ramuth; Maha Mastouri; Mahmoud ElHefnawi; Maitshwarelo I. Matsheka; Maria da Luz Lima Mendonça; Marietjie Venter; Martin M. Nyaga; Matoke-Muhia Damaris; Maximillian G. Mpina; Michael Owusu; Michael R. Wiley; Mohamed K. Khalifa; Mulenga Mwenda; Mushal Allam; My V. T. Phan; Nabil Abid; Ndeye Marieme Top; Nei-yuan Hsiao; Nelson Boricó Silochi; Ngiambudulu M. Francisco; Ngonda Saasa; Nicole Wolter; Nikita Sitharam; Nnaemeka Ndodo; Nnennaya A. Ajayi; Oladiji Femi; Olubusuyi M. Adewumi; Olumade Testimony; Olusola A. Ogunsanya; Ousmane Faye; Patricia Nabisubi; Patrick Semanda; Paul E. Oluniyi; Paulo Arnaldo; Peter Kojo Quashie; Philip Bejon; Philippe Dussart; Rabeh El-Shesheny; Rageema Joseph; Reuben Ayivor-Djanie; Richard O. Phillips; Richmond Gorman; Rosemary A. Audu; Rosina A. A. Carr; Safietou Sankhe; Salome Hosch; Samar Kamal Kassim; Sara Hassan Agwa; Seydou Doumbia; Shymaa S. Ahmed; Sikhulile Moyo; Soa Fy Andriamandimby; Sonia Lekana-Douki; Soumeya Ouangraoua; Stephen F. Schaffner; Stephen Kanyerezi; Sureshnee Pillay; Sylvie Behillil; Sylvie L. Budiaki; Sylvie van der Werf; Thabo Mohale; Thanh Le-Viet; Thirumalaisamy P. Velavan; Tobias Schindler; Tongai G. Maponga; Trevor Bedford; Ugochukwu J. Anyaneji; Ugwu Chinedu; Upasana Ramphal; Uwem E. George; Vincent Enouf; Vishvanath Nene; Wael H. Roshdy; Wolfgang Preiser; Yahaya Ali Ahmed; Yaw Bediako; Yvan Butera; Zaydah R. de Laurent; Anne von Gottberg; George Githinji; Oyewale Tomori; Pardis C. Sabeti; Samuel O. Oyola; Sofonias K. Tessema; Tulio de Oliveira; Christian Happi; Richard Lessells; Eduan Wilkinson; Ahmed Elsayed; Alimuddin Zumla; Amal Souiri; Chakib Nejjari; El Hamouchi Adil; Gomaa Mokhtar; Judith Sokei; Keith Durkin; Kondwani Jambo; Mildred Adusei-Poku; Misaki Wayengera; Mohamed Kamal; Olusola Anuoluwapo Akanbi; Pierre-Edouard Fournier; Richard Molenkamp; Srinivas Reddy Pallerla; Thushan I de Silva;pmid: 36108049
pmc: PMC9529057
International audience; INTRODUCTIONInvestment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic.RATIONALEWe demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs).RESULTSOur results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants.CONCLUSIONSustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century.
CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2022License: CC BYFull-Text: https://researchonline.lshtm.ac.uk/id/eprint/4667570/1/Tegally_etal_2022_The-evolving-sars-cov-2.pdfData sources: CORE (RIOXX-UK Aggregator)Oxford University Research ArchiveOther literature type . 2023License: CC BYData sources: Oxford University Research ArchiveHAL-Pasteur; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesbronze 52 citations 52 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 48visibility views 48 download downloads 184 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2022License: CC BYFull-Text: https://researchonline.lshtm.ac.uk/id/eprint/4667570/1/Tegally_etal_2022_The-evolving-sars-cov-2.pdfData sources: CORE (RIOXX-UK Aggregator)Oxford University Research ArchiveOther literature type . 2023License: CC BYData sources: Oxford University Research ArchiveHAL-Pasteur; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 France, United KingdomPublisher:Springer Science and Business Media LLC Funded by:WT | Estimating the burden of ..., UKRI | Understanding the dynamic..., WT | Using mathematical modell... +9 projectsWT| Estimating the burden of dengue, chikungunya and Zika in Latin America ,UKRI| Understanding the dynamics and drivers of the COVID-2019 epidemic using real-time outbreak analytics ,WT| Using mathematical modelling to re-think global pneumococcal immunisation strategies. ,UKRI| The dynamics of drug resistance within hospital populations of Gram-negative bacteria ,UKRI| GCRF: RECAP - Research capacity building and knowledge generation to support preparedness and response to humanitarian crises and epidemics ,WT| Managing COVID-19 epidemics in low- to middle-income and crisis-affected settings: Epidemiological and economic evaluation ,EC| EpiPose ,WT| Immunity dynamics and epidemiology of cross-reactive pathogens ,WT| Real-time modelling for forecasts during infectious disease outbreaks ,CIHR ,UKRI| DTP Bid Led by London Sch of Hygiene and Trop Medicine ,UKRI| Nosocomial transmission of SARS-CoV-2Rosello, Alicia; Barnard, Rosanna C; Smith, David RM; Evans, Stephanie; Grimm, Fiona; Davies, Nicholas G; Centre for Mathematical Modelling of Infectious Diseases COVID-1; Deeny, Sarah R; Knight, Gwenan M; Edmunds, W John;Abstract Background COVID-19 outbreaks still occur in English care homes despite the interventions in place. Methods We developed a stochastic compartmental model to simulate the spread of SARS-CoV-2 within an English care home. We quantified the outbreak risk with baseline non-pharmaceutical interventions (NPIs) already in place, the role of community prevalence in driving outbreaks, and the relative contribution of all importation routes into a fully susceptible care home. We also considered the potential impact of additional control measures in care homes with and without immunity, namely: increasing staff and resident testing frequency, using lateral flow antigen testing (LFD) tests instead of polymerase chain reaction (PCR), enhancing infection prevention and control (IPC), increasing the proportion of residents isolated, shortening the delay to isolation, improving the effectiveness of isolation, restricting visitors and limiting staff to working in one care home. We additionally present a Shiny application for users to apply this model to their facility of interest, specifying care home, outbreak and intervention characteristics. Results The model suggests that importation of SARS-CoV-2 by staff, from the community, is the main driver of outbreaks, that importation by visitors or from hospitals is rare, and that the past testing strategy (monthly testing of residents and daily testing of staff by PCR) likely provides negligible benefit in preventing outbreaks. Daily staff testing by LFD was 39% (95% 18–55%) effective in preventing outbreaks at 30 days compared to no testing. Conclusions Increasing the frequency of testing in staff and enhancing IPC are important to preventing importations to the care home. Further work is needed to understand the impact of vaccination in this population, which is likely to be very effective in preventing outbreaks.
Oxford University Re... arrow_drop_down Oxford University Research Archive; BMC Infectious DiseasesOther literature type . Article . 2023 . 2022 . Peer-reviewedLicense: CC BYHAL Descartes; HAL-Pasteur; HAL-Inserm; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03642587/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Oxford University Re... arrow_drop_down Oxford University Research Archive; BMC Infectious DiseasesOther literature type . Article . 2023 . 2022 . Peer-reviewedLicense: CC BYHAL Descartes; HAL-Pasteur; HAL-Inserm; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03642587/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 FrancePublisher:Frontiers Media SA Funded by:NIH | Inter-regional study of t..., WT | To B or not to B: Investi..., NIH | Molecular Basis of Dengue... +1 projectsNIH| Inter-regional study of transmission, adaptation and pathogenesis of viruses with pandemic potential in Southeast Asia and West/Central Africa ,WT| To B or not to B: Investigation of B cell responses during secondary flavivirus infection ,NIH| Molecular Basis of Dengue Virus Neutralization by Human Antibodies ,NIH| Mechanisms of Protection and Durability for a Live Attenuated Tetravalent Dengue VaccineAuthors: Tineke, Cantaert; Nolwenn, Jouvenet; Sean A, Diehl;Tineke, Cantaert; Nolwenn, Jouvenet; Sean A, Diehl;International audience; The ongoing COVID-19 pandemic has highlighted a central principle of the host immune response to RNA virus infections: while most infected patients remain asymptomatic or mild symptomatic, a portion of patients experience severe clinical symptoms, suggesting the existence of host immune factors that determine susceptibility to symptomatic disease...
Frontiers in Immunol... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Frontiers in Immunol... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 Netherlands, France, Finland, Belgium, France, France, Belgium, Denmark, France, FinlandPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:EC | DiversiPHI, AKA | Environmental RNAi for pa..., AKA | Treating severe COVID-19 ... +3 projectsEC| DiversiPHI ,AKA| Environmental RNAi for pathogen control ,AKA| Treating severe COVID-19 associated secondary bacterial infections with Phage Therapy under the Declaration of Helsinki / Consortium: COVID-19_Phage ,EC| PHAGENET ,WT ,AKA| Plasmid-dependent bacteriophages: a novel tool to fight bacterial biofilms, persistent infections and the spread of antibiotic resistanceKrupovic, Mart; Turner, Dann; Morozova, Vera; Dyall-Smith, Mike; Oksanen, Hanna M.; Edwards, Rob; Dutilh, Bas E.; Lehman, Susan M.; Reyes, Alejandro; Baquero, Diana P.; Sullivan, Matthew B.; Uchiyama, Jumpei; Nakavuma, Jesca; Barylski, Jakub; Young, Mark J.; Du, Shishen; Alfenas-Zerbini, Poliane; Kushkina, Alla; Kropinski, Andrew M.; Kurtboke, Ipek; Brister, J. Rodney; Lood, Cedric; Sarkar, B. L.; Yigang, Tong; Liu, Ying; Huang, Li; Wittmann, Johannes; Chanishvili, Nina; van Zyl, Leonardo J.; Rumnieks, Janis; Mochizuki, Tomohiro; Jalasvuori, Matti; Aziz, Ramy K.; Lobocka, Malgorzata; Stedman, Kenneth M.; Shkoporov, Andrey N.; Gillis, Annika; Peng, Xu; Enault, Francois; Knezevic, Petar; Lavigne, Rob; Rhee, Sung-Keun; Cvirkaite-Krupovic, Virginija; Moraru, Cristina; Moreno Switt, Andrea I.; Poranen, Minna M.; Millard, Andrew; Prangishvili, David; Adriaenssens, Evelien M.; Sub Bioinformatics; Theoretical Biology and Bioinformatics;In this article, we – the Bacterial Viruses Subcommittee and the Archaeal Viruses Subcommittee of the International Committee on Taxonomy of Viruses (ICTV) – summarise the results of our activities for the period March 2020 – March 2021. We report the division of the former Bacterial and Archaeal Viruses Subcommittee in two separate Subcommittees, welcome new members, a new Subcommittee Chair and Vice Chair, and give an overview of the new taxa that were proposed in 2020, approved by the Executive Committee and ratified by vote in 2021. In particular, a new realm, three orders, 15 families, 31 subfamilies, 734 genera and 1845 species were newly created or redefined (moved/promoted). Supplementary Information The online version contains supplementary material available at 10.1007/s00705-021-05205-9.
NARCIS arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8497307Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemHELDA - Digital Repository of the University of HelsinkiArticle . 2021Data sources: HELDA - Digital Repository of the University of HelsinkiJyväskylä University Digital ArchiveArticle . 2021License: CC BYData sources: Jyväskylä University Digital ArchiveHAL Clermont Université; HAL Descartes; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2021License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert NARCIS arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8497307Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemHELDA - Digital Repository of the University of HelsinkiArticle . 2021Data sources: HELDA - Digital Repository of the University of HelsinkiJyväskylä University Digital ArchiveArticle . 2021License: CC BYData sources: Jyväskylä University Digital ArchiveHAL Clermont Université; HAL Descartes; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2021License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 France, United Kingdom, Belgium, Switzerland, FrancePublisher:American Association for the Advancement of Science (AAAS) Funded by:WT | University of Edinburgh -..., EC | MOOD, UKRI | East of Scotland Bioscien... +5 projectsWT| University of Edinburgh - Hosts, Pathogens & Global Health ,EC| MOOD ,UKRI| East of Scotland Bioscience Doctoral Training Partnership ,WT| Real-time genetic cartography of viral epidemics ,EC| ReservoirDOCs ,UKRI| Doctoral Training Partnership in Environmental Research ,UKRI| The Oxford Interdisciplinary Bioscience Doctoral Training Partnership ,WT| Putting genomic surveillance at the heart of viral epidemic response.Moritz U. G. Kraemer; Verity Hill; Christopher Ruis; Simon Dellicour; Sumali Bajaj; John T. McCrone; Guy Baele; Kris V Parag; Anya Lindström Battle; Bernardo Gutierrez; Ben Jackson; Rachel M. Colquhoun; Áine O'Toole; Brennan Klein; Alessandro Vespignani; Erik M. Volz; Nuno R. Faria; David M. Aanensen; Nicholas J. Loman; Louis du Plessis; Simon Cauchemez; Andrew Rambaut; Samuel V. Scarpino; Oliver G. Pybus;pmid: 34301854
pmc: PMC9269003
Understanding the causes and consequences of the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern is crucial to pandemic control yet difficult to achieve because they arise in the context of variable human behavior and immunity. We investigated the spatial invasion dynamics of lineage B.1.1.7 by jointly analyzing UK human mobility, virus genomes, and community-based polymerase chain reaction data. We identified a multistage spatial invasion process in which early B.1.1.7 growth rates were associated with mobility and asymmetric lineage export from a dominant source location, enhancing the effects of B.1.1.7's increased intrinsic transmissibility. We further explored how B.1.1.7 spread was shaped by nonpharmaceutical interventions and spatial variation in previous attack rates. Our findings show that careful accounting of the behavioral and epidemiological context within which variants of concern emerge is necessary to interpret correctly their observed relative growth rates. ispartof: SCIENCE vol:373 issue:6557 pages:889-+ ispartof: location:United States status: published
CORE (RIOXX-UK Aggre... arrow_drop_down Oxford University Research ArchiveOther literature type . 2021License: CC BYData sources: Oxford University Research ArchiveSpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 115 citations 115 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 35visibility views 35 download downloads 49 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Oxford University Research ArchiveOther literature type . 2021License: CC BYData sources: Oxford University Research ArchiveSpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2023 France, Switzerland, Spain, United KingdomPublisher:Elsevier BV Funded by:WT | PubMLST: Disseminating an..., WT | Human Genetics and Diseas..., WT | Investigating the diversi...WT| PubMLST: Disseminating and exploiting bacterial diversity data for public health benefit ,WT| Human Genetics and Disease Biology: Core Renewal for the Wellcome Trust Centre for Human Genetics ,WT| Investigating the diversity, molecular epidemiology, competitive influence and therapeutic potential of pneumococcal bacteriocins using large genome datasetsShaw, David; Abad, Raquel; Amin-Chowdhury, Zahin; Bautista, Adriana; Bennett, Desiree; Broughton, Karen; Cao, Bin; Casanova, Carlo; Choi, Eun Hwa; Chu, Yiu-Wai; Claus, Heike; Coelho, Juliana; Corcoran, Mary; Cottrell, Simon; Cunney, Robert; Cuypers, Lize; Dalby, Tine; Davies, Heather; de Gouveia, Linda; Deghmane, Ala-Eddine; Demczuk, Walter; Desmet, Stefanie; Domenech, Mirian; Drew, Richard; du Plessis, Mignon; Duarte, Carolina; Erlendsdóttir, Helga; Fry, Norman K; Fuursted, Kurt; Hale, Thomas; Henares, Desiree; Henriques-Normark, Birgitta; Hilty, Markus; Hoffmann, Steen; Humphreys, Hilary; Ip, Margaret; Jacobsson, Susanne; Johnson, Christopher; Johnston, Jillian; Jolley, Keith A; Kawabata, Aníbal; Kozakova, Jana; Kristinsson, Karl G; Krizova, Pavla; Kuch, Alicja; Ladhani, Shamez; Lâm, Thiên-Trí; León, María Eugenia; Lindholm, Laura; Litt, David; Maiden, Martin C J; Martin, Irene; Martiny, Delphine; Mattheus, Wesley; McCarthy, Noel D; Meehan, Mary; Meiring, Susan; Mölling, Paula; Morfeldt, Eva; Morgan, Julie; Mulhall, Robert; Muñoz-Almagro, Carmen; Murdoch, David; Murphy, Joy; Musilek, Martin; Mzabi, Alexandre; Novakova, Ludmila; Oftadeh, Shahin; Perez-Argüello, Amaresh; Pérez-Vázquez, Maria; Perrin, Monique; Perry, Malorie; Prevost, Benoit; Roberts, Maria; Rokney, Assaf; Ron, Merav; Sanabria, Olga Marina; Scott, Kevin J; Sheppard, Carmen; Siira, Lotta; Sintchenko, Vitali; Skoczyńska, Anna; Sloan, Monica; Slotved, Hans-Christian; Smith, Andrew J; Steens, Anneke; Taha, Muhamed-Kheir; Toropainen, Maija; Tzanakaki, Georgina; Vainio, Anni; van der Linden, Mark P G; van Sorge, Nina M; Varon, Emmanuelle; Vohrnova, Sandra; von Gottberg, Anne; Yuste, Jose; Zanella, Rosemeire; Zhou, Fei; Brueggemann, Angela B;handle: 20.500.12105/16380
Background: The Invasive Respiratory Infection Surveillance (IRIS) Consortium was established to assess the impact of the COVID-19 pandemic on invasive diseases caused by Streptococcus pneumoniae, Haemophilus influenzae, Neisseria meningitidis, and Streptococcus agalactiae. We aimed to analyse the incidence and distribution of these diseases during the first 2 years of the COVID-19 pandemic compared to the 2 years preceding the pandemic. Methods: For this prospective analysis, laboratories in 30 countries and territories representing five continents submitted surveillance data from Jan 1, 2018, to Jan 2, 2022, to private projects within databases in PubMLST. The impact of COVID-19 containment measures on the overall number of cases was analysed, and changes in disease distributions by patient age and serotype or group were examined. Interrupted time-series analyses were done to quantify the impact of pandemic response measures and their relaxation on disease rates, and autoregressive integrated moving average models were used to estimate effect sizes and forecast counterfactual trends by hemisphere. Findings: Overall, 116 841 cases were analysed: 76 481 in 2018-19, before the pandemic, and 40 360 in 2020-21, during the pandemic. During the pandemic there was a significant reduction in the risk of disease caused by S pneumoniae (risk ratio 0·47; 95% CI 0·40-0·55), H influenzae (0·51; 0·40-0·66) and N meningitidis (0·26; 0·21-0·31), while no significant changes were observed for S agalactiae (1·02; 0·75-1·40), which is not transmitted via the respiratory route. No major changes in the distribution of cases were observed when stratified by patient age or serotype or group. An estimated 36 289 (95% prediction interval 17 145-55 434) cases of invasive bacterial disease were averted during the first 2 years of the pandemic among IRIS-participating countries and territories. Interpretation: COVID-19 containment measures were associated with a sustained decrease in the incidence of invasive disease caused by S pneumoniae, H influenzae, and N meningitidis during the first 2 years of the pandemic, but cases began to increase in some countries towards the end of 2021 as pandemic restrictions were lifted. These IRIS data provide a better understanding of microbial transmission, will inform vaccine development and implementation, and can contribute to health-care service planning and provision of policies. The infrastructure for the IRIS Consortium is funded by a Wellcome Trust Investigator Award to ABB (grant number 206394/Z/17/Z). The IRIS databases are part of PubMLST, which is funded by a Wellcome Trust Biomedical Resource Grant awarded to MJCM, ABB, and KAJ (grant number 218205/Z/19/Z). The high-performance computing requirements of the data analyses were supported by the Wellcome Trust Core Award (grant number 203141/Z/16/Z) and the NIHR Oxford Biomedical Research Centre. This work was also partially supported by research funding from the Spanish Ministry of Science and Innovation (grant PID2020-119298RB-I00 to JY); research grants from Pfizer (grant 69765907) to Seoul National University Hospital, and from the Korea Disease Control and Prevention Agency (grant 2018F240600) to Seoul National University College of Medicine; research funding from the Torsten Söderberg Foundation, Stockholm County Council, and the Swedish Research Council to the Karolinska Institutet, Sweden; research funding from the German Federal Ministry of Health and the Robert Koch Institute (grant 1369-237) to the National Reference Centre for Meningococci and Haemophilus influenzae; research funding from the Robert Koch Institute, Pfizer, and Merck, to the German National Reference Centre for Streptococci; and research funding from the Greek National Public Health Organization (EODY) to the Greek National Meningitis Reference laboratory. The authors were deeply saddened by the sudden death of Professor Ulrich Vogel, who contributed to the IRIS Consortium but more importantly was a dear friend and colleague to many of the authors. The authors are grateful to all those working in the clinical microbiology laboratories who have processed and characterised bacterial isolates that contribute to the IRIS Consortium. Sí
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023Data sources: Recolector de Ciencia Abierta, RECOLECTAOxford University Research Archive; The Lancet: Digital HealthOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 3visibility views 3 download downloads 1 Powered bymore_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2023Data sources: Recolector de Ciencia Abierta, RECOLECTAOxford University Research Archive; The Lancet: Digital HealthOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 France EnglishPublisher:Free Neuropathology Funded by:ANR | NeurATRIS, WTANR| NeurATRIS ,WTBoluda, Susana; Mokhtari, Karima; Mégarbane, Bruno; Annane, Djillali; Mathon, Bertrand; Cao, Albert; Adam, Clovis; Androuin, Alexandre; Bielle, Franck; Brochier, Guy; Charlotte, Frédéric; Chougar, Lydia; El Hachimi, Khalid Hamid; Eloit, Marc; Haïk, Stéphane; Hervé, Dominique; Kasri, Amal; Leducq, Valentin; Lehéricy, Stéphane; Levavasseur, Etienne; Lobsiger, Christian; Lorin de La Grandmaison, Geoffroy; Malet, Isabelle; Malissin, Isabelle; Marot, Stéphane; Marty, Serge; Pérot, Philippe; Plu, Isabelle; Prigent, Annick; Stimmer, Lev; Potier, Marie-Claude; Marcelin, Anne-Geneviève; Delatour, Benoît; Duyckaerts, Charles; Seilhean, Danielle;In a neuropathological series of 20 COVID-19 cases, we analyzed six cases (three biopsies and three autopsies) with multiple foci predominantly affecting the white matter as shown by MRI. The cases presented with microhemorrhages evocative of small artery diseases. This COVID-19 associated cerebral microangiopathy (CCM) was characterized by perivascular changes: arterioles were surrounded by vacuolized tissue, clustered macrophages, large axonal swellings and a crown arrangement of aquaporin-4 immunoreactivity. There was evidence of blood-brain-barrier leakage. Fibrinoid necrosis, vascular occlusion, perivascular cuffing and demyelination were absent. While no viral particle or viral RNA was found in the brain, the SARS-CoV-2 spike protein was detected in the Golgi apparatus of brain endothelial cells where it closely associated with furin, a host protease known to play a key role in virus replication. Endothelial cells in culture were not permissive to SARS-CoV-2 replication. The distribution of the spike protein in brain endothelial cells differed from that observed in pneumocytes. In the latter, the diffuse cytoplasmic labeling suggested a complete replication cycle with viral release, notably through the lysosomal pathway. In contrast, in cerebral endothelial cells the excretion cycle was blocked in the Golgi apparatus. Interruption of the excretion cycle could explain the difficulty of SARS-CoV-2 to infect endothelial cells in vitro and to produce viral RNA in the brain. Specific metabolism of the virus in brain endothelial cells could weaken the cell walls and eventually lead to the characteristic lesions of COVID-19 associated cerebral microangiopathy. Furin as a modulator of vascular permeability could provide some clues for the control of late effects of microangiopathy. Free Neuropathology, Vol. 4 (2023)
Europe PubMed Centra... arrow_drop_down HAL-Pasteur; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down HAL-Pasteur; Mémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2023License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 France, United Kingdom, France, Italy, Italy, Italy, France, United Kingdom, Italy, Italy, United Kingdom, Netherlands, FrancePublisher:Springer Science and Business Media LLC Funded by:WT | Understanding cross-react..., WT | ISARIC, EC | ECRAID-Base +3 projectsWT| Understanding cross-reactive immunity to Japanese encephalitis virus ,WT| ISARIC ,EC| ECRAID-Base ,UKRI| ISARIC - Coronavirus Clinical Characterisation Consortium (ISARIC-4C) ,CIHR ,EC| RECoVERReyes, Luis Felipe; Murthy, Srinivas; Garcia-Gallo, Esteban; Merson, Laura; Ibáñez-Prada, Elsa; Rello, Jordi; Fuentes, Yuli; Martin-Loeches, Ignacio; Bozza, Fernando; Duque, Sara; Taccone, Fabio; Fowler, Robert; Kartsonaki, Christiana; Gonçalves, Bronner; Citarella, Barbara Wanjiru; Aryal, Diptesh; Burhan, Erlina; Cummings, Matthew; Delmas, Christelle; Diaz, Rodrigo; Figueiredo-Mello, Claudia; Hashmi, Madiha; Panda, Prasan Kumar; Jiménez, Miguel Pedrera; Rincon, Diego Fernando Bautista; Thomson, David; Nichol, Alistair; Marshall, John; Olliaro, Piero; Abbas, Ali; Abdukahil, Sheryl Ann; Abe, Ryuzo; Abel, Laurent; Absil, Lara; Acharya, Subhash; Acker, Andrew; Adrião, Diana; Al Ageel, Saleh; Ahmed, Shakeel; Ainscough, Kate; Aisa, Tharwat; Hssain, Ali Ait; Tamlihat, Younes Ait; Akimoto, Takako; Akmal, Ernita; Al Qasim, Eman; Alalqam, Razi; Al-Dabbous, Tala; Alegesan, Senthilkumar; Alegre, Cynthia; Alessi, Marta; Alex, Beatrice; Alexandre, Kévin; Al-Fares, Abdulrahman; Alfoudri, Huda; Ali, Imran; Shah, Naseem Ali; Alidjnou, Kazali Enagnon; Aliudin, Jeffrey; Alkhafajee, Qabas; Allavena, Clotilde; Allou, Nathalie; Altaf, Aneela; Alves, João; Alves, João Melo; Alves, Rita; Cabrita, Joana Alves; Amaral, Maria; Ampaw, Phoebe; Andini, Roberto; Andréjak, Claire; Angheben, Andrea; Angoulvant, François; Ansart, Séverine; Antonelli, Massimo; de Brito, Carlos Alexandre Antunes; Apriyana, Ardiyan; Arabi, Yaseen; Aragao, Irene; Araujo, Carolline; Arcadipane, Antonio; Archambault, Patrick; Arenz, Lukas; Arlet, Jean-Benoît; Arnold-Day, Christel; Arora, Lovkesh; Arora, Rakesh; Artaud-Macari, Elise; Aryal, Diptesh; Asensio, Angel; Asif, Namra; Asim, Mohammad; Assie, Jean Baptiste; Atique, Anika; Attanyake, A.; Auchabie, Johann; Aumaitre, Hugues; Auvet, Adrien; Azemar, Laurène; Azoulay, Cecile; Bach, Benjamin; Bachelet, Delphine; Badr, Claudine; Baig, Nadia; Baillie, J. Kenneth; Bak, Erica; Bakakos, Agamemnon; Bal, Andriy; Balan, Valeria; Bani-Sadr, Firouzé; Barbalho, Renata; Barclay, Wendy; Barnikel, Michaela; Barrasa, Helena; Barrelet, Audrey; Barrigoto, Cleide; Bartoli, Marie; Baruch, Joaquín; Basmaci, Romain; Battaglini, Denise; Bauer, Jules; Dow, Denisse Bazan; Beane, Abigail; Bedossa, Alexandra; Begum, Husna; Behilill, Sylvie; Beishuizen, Albertus; Beljantsev, Aleksandr; Bellemare, David; Beltrame, Anna; Beluze, Marine; Benech, Nicolas; Benkerrou, Dehbia; Bennett, Suzanne; Bento, Luís; Berdal, Jan-Erik; Bergeaud, Delphine; Bergin, Hazel; Sobrino, José Luis Bernal; Bertoli, Giulia; Bertolino, Lorenzo; Bessis, Simon; Bevilcaqua, Sybille; Bezulier, Karine; Bhatt, Amar; Bhavsar, Krishna; Bianco, Claudia; Singh, Moirangthem Bikram; Humaid, Felwa Bin; Bissuel, François; Bitker, Laurent; Bitton, Jonathan; Blanco-Schweizer, Pablo; Blier, Catherine; Bloos, Frank; Blot, Mathieu; Boccia, Filomena; Bodenes, Laetitia; Bogaert, Debby; Boivin, Anne-Hélène; Bolze, Pierre-Adrien; Bompart, François; Borges, Diogo; Borie, Raphaël; Bosse, Hans Martin; Botelho-Nevers, Elisabeth; Bouadma, Lila; Bouchaud, Olivier; Bouchez, Sabelline; Bouhmani, Dounia; Bouhour, Damien; Bouiller, Kévin; Bouillet, Laurence; Bouisse, Camile; Boureau, Anne-Sophie; Bourke, John; Bouscambert, Maude; Bousquet, Aurore; Bouziotis, Jason; Boxma, Bianca; Boyer-Besseyre, Marielle; Boylan, Maria; Braconnier, Axelle; Braga, Cynthia; Brandenburger, Timo; Monteiro, Filipa Brás; Brazzi, Luca; Breen, Dorothy; Breen, Patrick; Brickell, Kathy; Browne, Alex; Browne, Shaunagh; Brusse-Keizer, Marjolein; Buchtele, Nina; Buesaquillo, Christian; Bugaeva, Polina; Buisson, Marielle; Burrell, Aidan; Bustos, Ingrid; Butnaru, Denis; Caceres, Eder; Cattaneo, Paolo; Chen, Yih-Sharng; Cho, Sung-Min; Colombo, Sebastiano Maria; Corley, Amanda; Dahly, Darren; Denis, Emmanuelle; Deplanque, Dominique; Dondorp, Arjen; Dudman, Susanne; Durante-Mangoni, Emanuele; Engelmann, Ilka; Etienne, Manuel; Fernandes, Jorge; Gaymard, Alexandre; Green, Christopher; Haidri, Fakhir; Harrison, Ewen; Hays, Leanne; Hitoto, Hikombo; Ippolito, Mariachiara; Jamieson, Nina; Kelly, Yvelynne; Kennon, Kalynn; Kildal, Anders Benjamin; Kutsogiannis, Demetrios; Laffey, John; Lantang, Eka Yudha; Le Turnier, Paul; Lind, Andreas; Loforte, Antonio; Machado, Sara; Martucci, Gennaro; Masood, Sobia; Mclean, Kenneth; Mone, Mary; Motos, Ana; Munblit, Daniel; Noursadeghi, Mahdad; Ortoleva, Jamel; Patricio, Patricia; Pharand, Scott; Poli, Sergio; Povoa, Pedro; Rau, Cornelius; Riera, Jordi; Sandulescu, Oana; Schaffer, Justin; Schermer, Tjard; Semple, Malcolm; Sequeira, Filipa; Balazote, Pablo Serrano; Shum, Hoi Ping; Streinu-Cercel, Adrian; Suen, Jacky; Summers, Charlotte; Sztajnbok, Jaques; Tejada, Sofia; Terrier, Olivier; Terzi, Nicolas; Thomson, Emma; Trontzas, Ioannis; Turtle, Lance; van der Palen, Job; Ventura, Sara; Shukeri, Wan Fadzlina Wan Muhd; West, T. Eoin; Wils, Evert-Jan;pmid: 36100904
pmc: PMC9469080
Invasive mechanical ventilation; COVID-19; Critical care Ventilación mecánica invasiva; COVID-19; Cuidado crítico Ventilació mecànica invasiva; COVID-19; Atenció crítica Background Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83–7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97–2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14–1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25–1.30]). Conclusions In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. This work was supported by the UK Foreign, Commonwealth, and Development Office and Wellcome [215091/Z/18/Z] and the Bill & Melinda Gates Foundation [OPP1209135]; CIHR Coronavirus Rapid Research Funding Opportunity OV2170359; Grants from Rapid European COVID-19 Emergency Response research (RECOVER) [H2020 Project 101003589] and European Clinical Research Alliance on Infectious Diseases (ECRAID) [965313]; The Imperial NIHR Biomedical Research Centre; The Cambridge NIHR Biomedical Research Centre; and Endorsed by the Irish Critical Care-Clinical Trials Group, co-ordinated in Ireland by the Irish Critical Care-Clinical Trials Network at University College Dublin and funded by the Health Research Board of Ireland [CTN-2014-12]. This work uses Data/Materials provided by patients and collected by the NHS as part of their care and support #DataSavesLives. The Data/materials used for this research were obtained from ISARIC4C. The COVID-19 Clinical Information Network (CO-CIN) data was collated by ISARIC4C Investigators. Data and Material provision were supported by grants from: the National Institute for Health Research (NIHR; award CO-CIN-01), the Medical Research Council (MRC; Grant MC_PC_19059), and the NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections at the University of Liverpool in partnership with Public Health England (PHE), (Award 200907), Wellcome Trust [Turtle, Lance-fellowship 205228/Z/16/Z], NIHR HPRU in Respiratory Infections at Imperial College London with PHE (Award 200927), Liverpool Experimental Cancer Medicine Centre (Grant C18616/A25153), NIHR Biomedical Research Centre at Imperial College London (Award IS-BRC-1215-20013), and NIHR Clinical Research Network providing infrastructure support. This work was possible due to the dedication and hard work of the Norwegian SARS-CoV-2 study team and supported by grants from Research Council of Norway Grant No. 312780 and a philanthropic donation from Vivaldi Invest A/S owned by Jon Stephenson von Tetzchner; The dedication and hard work of the Groote Schuur Hospital Covid ICU Team, and supported by the Groote Schuur nursing and University of Cape Town registrar bodies coordinated by the Division of Critical Care at the University of Cape Town; and supported by the COVID clinical management team, AIIMS, Rishikesh, India.
Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); Archivio istituzionale della ricerca - Università di Palermo; Oxford University Research Archive; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli"; Critical CareOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYData sources: Archivio Istituzionale (AperTO); European Union Open Data Portal; University of Twente Research Information ; University of Groningen Research Portal; Archivio istituzionale della ricerca - Università di Palermo; Oxford University Research Archive; Crossref; NARCIS; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli"Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHAL DescartesArticle . 2022License: CC BYFull-Text: https://hal.science/hal-04372985/documentData sources: HAL DescartesHAL Descartes; HAL-Rennes 1; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Archivio Istituziona... arrow_drop_down Archivio Istituzionale (AperTO); Archivio istituzionale della ricerca - Università di Palermo; Oxford University Research Archive; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli"; Critical CareOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYData sources: Archivio Istituzionale (AperTO); European Union Open Data Portal; University of Twente Research Information ; University of Groningen Research Portal; Archivio istituzionale della ricerca - Università di Palermo; Oxford University Research Archive; Crossref; NARCIS; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli"Spiral - Imperial College Digital RepositoryArticle . 2022License: CC BYData sources: Spiral - Imperial College Digital RepositoryHAL DescartesArticle . 2022License: CC BYFull-Text: https://hal.science/hal-04372985/documentData sources: HAL DescartesHAL Descartes; HAL-Rennes 1; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:MDPI AG Funded by:SFI | DIRECTS: Detecting Innate..., WT | Wellcome – Health Researc..., ANR | INCEPTIONSFI| DIRECTS: Detecting Innate protection against SARS-CoV2 ,WT| Wellcome – Health Research Board Irish Clinical Academic Training Programme ,ANR| INCEPTIONLaura Garcia; Tom Woudenberg; Jason Rosado; Adam H. Dyer; Françoise Donnadieu; Delphine Planas; Timothée Bruel; Olivier Schwartz; Thierry Prazuck; Aurélie Velay; Samira Fafi-Kremer; Isabella Batten; Conor Reddy; Emma Connolly; Matt McElheron; Sean P. Kennelly; Nollaig M. Bourke; Michael T. White; Stéphane Pelleau;International audience; Serological assays capable of measuring antibody responses induced by previous infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been critical tools in the response to the COVID-19 pandemic. In this study, we use bead-based multiplex assays to measure IgG and IgA antibodies and IgG avidity to five SARS-CoV-2 antigens (Spike (S), receptor-binding domain (RBD), Nucleocapsid (N), S subunit 2, and Membrane-Envelope fusion (ME)). These assays were performed in several cohorts of healthcare workers and nursing home residents, who were followed for up to eleven months after SARS-CoV-2 infection or up to six months after vaccination. Our results show distinct kinetic patterns of antibody quantity (IgG and IgA) and avidity. While IgG and IgA antibody levels waned over time, with IgA antibody levels waning more rapidly, avidity increased with time after infection or vaccination. These contrasting kinetic patterns allow for the estimation of time since previous SARS-CoV-2 infection. Including avidity measurements in addition to antibody levels in a classification algorithm for estimating time since infection led to a substantial improvement in accuracy, from 62% to 78%. The inclusion of antibody avidity in panels of serological assays can yield valuable information for improving serosurveillance during SARS-CoV-2 epidemics.
Viruses arrow_drop_down VirusesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/1999-4915/14/7/1491/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 13 citations 13 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Viruses arrow_drop_down VirusesOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/1999-4915/14/7/1491/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 FrancePublisher:MDPI AG Funded by:WTWTAuthors: Ala-Eddine Deghmane; Muhamed-Kheir Taha;Ala-Eddine Deghmane; Muhamed-Kheir Taha;BackgroundSince the appearance of COVID-19 in January 2020, invasive bacterial infections have decreased significantly worldwide. However, alterations in age and sex distributions, clinical forms, phenotypes, and genotypes of isolates have not been analyzed. Our goal is to present and discuss these data considering the current COVID-19 pandemic situation. Methods: The data of the national reference center for meningococci and Haemophilus influenzae in France were mined to examine the above aspects of invasive bacterial infection before (2018–2019) and after (2020–2021) the COVID-19 pandemic. Detailed epidemiological, clinical, and microbiological data were collected, and whole genome sequencing was carried out on meningococcal isolates (n = 1466). Results: In addition to the overall decline in the number of cases, various changes in age, sex, and phenotypes of isolates were also noted. As for N. meningitidis, more cases were observed in adults, as well as more invasive pneumopathies. Furthermore, fewer hyperinvasive meningococcal genotypes have circulated since COVID-19 emerged. The situation has been different for H. influenzae, as the number of invasive cases among adults decreased due to a reduction in non-typeable isolates. In contrast, cases due to serotypeable isolates, particularly serotypes a and b, increased in children Conclusions: It is possible that measures implemented to stop COVID-19 may have reduced the circulation of N. meningitidis and H. influenzae isolates, but to a variable extent. This may be due to differences in circulation between these two species according to age groups. Vaccination schedules against these two species may have also influenced the evolution of these invasive bacterial infections since the emergence of the COVID-19 pandemic.
Microorganisms arrow_drop_down MicroorganismsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2076-2607/10/5/907/pdfHAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-04133462/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 18 citations 18 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Microorganisms arrow_drop_down MicroorganismsOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2076-2607/10/5/907/pdfHAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-04133462/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article , Preprint 2022 France, United Kingdom, SwitzerlandPublisher:Cold Spring Harbor Laboratory Funded by:WT | Lassa outbreak response: ..., NIH | Genomic Characterization ..., NIH | Role of Data Streams In I... +19 projectsWT| Lassa outbreak response: early intervention and community response capacity in Ondo, Edo and Ebonyi states, Nigeria ,NIH| Genomic Characterization and Surveillance of Microbial Threats in West Africa ,NIH| Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa ,UKRI| Microbial Communities in the Food Chain ,NIH| West African Emerging Infectious Disease Research Center (WA-EIDRC) ,NIH| Administrative Core ,NIH| Expansion of research and mentoring to improve birth outcomes and treatment outcomes among HIV-affected children in Botswana ,WT| Characterization of SARS-CoV-2 transmission dynamics, clinical features and disease impact in South Africa, a setting with high HIV prevalence ,WT| COVID-19 Intervention Modelling for East Africa (CIMEA) ,WT| Sub-Saharan African Network for TB/HIV research Excellence (SANTHE) ,NIH| University of Washington Arboviral Research Network (UWARN) ,WT| African COVID-19 Preparedness (AFRICO19) ,UKRI| Research Infrastructure ,NIH| West African Center of Excellence for Global Health Bioinformatics Research Training ,NIH| Host and Microbial Genetic Determinants of Febrile Illness in West Africa ,NIH| Addressing Major HIV Prevention and Health Outcomes Questions in an Era of Universal ART: Mentoring in a Community-Randomized Trial ,UKRI| Epidemiology and Evolution of Pathogens in the Food Chain ,WT| Centre for Infectious Diseases Research in Africa (CIDRI-Africa) ,NIH| Research on the Epidemiology,Prevention,Vaccine Effectiveness and Treatment of Influenza and Other Respiratory Viruses in South Africa.09 ,NIH| H3ABioNet: a sustainable African Bioinformatics Network for H3Africa ,NIH| Fogarty HIV Research Training Program for Low and Middle-Income Countries ,EC| NEXTCESGAHouriiyah Tegally; James E. San; Matthew Cotten; Monika Moir; Bryan Tegomoh; Gerald Mboowa; Darren P. Martin; Cheryl Baxter; Arnold W. Lambisia; Amadou Diallo; Daniel G. Amoako; Moussa M. Diagne; Abay Sisay; Abdel-Rahman N. Zekri; Abdou Salam Gueye; Abdoul K. Sangare; Abdoul-Salam Ouedraogo; Abdourahmane Sow; Abdualmoniem O. Musa; Abdul K. Sesay; Abe G. Abias; Adam I. Elzagheid; Adamou Lagare; Adedotun-Sulaiman Kemi; Aden Elmi Abar; Adeniji A. Johnson; Adeola Fowotade; Adeyemi O. Oluwapelumi; Adrienne A. Amuri; Agnes Juru; Ahmed Kandeil; Ahmed Mostafa; Ahmed Rebai; Ahmed Sayed; Akano Kazeem; Aladje Balde; Alan Christoffels; Alexander J. Trotter; Allan Campbell; Alpha K. Keita; Amadou Kone; Amal Bouzid; Amal Souissi; Ambrose Agweyu; Amel Naguib; Ana V. Gutierrez; Anatole Nkeshimana; Andrew J. Page; Anges Yadouleton; Anika Vinze; Anise N. Happi; Anissa Chouikha; Arash Iranzadeh; Arisha Maharaj; Armel L. Batchi-Bouyou; Arshad Ismail; Augustina A. Sylverken; Augustine Goba; Ayoade Femi; Ayotunde E. Sijuwola; Baba Marycelin; Babatunde L. Salako; Bamidele S. Oderinde; Bankole Bolajoko; Bassirou Diarra; Belinda L. Herring; Benjamin Tsofa; Bernard Lekana-Douki; Bernard Mvula; Berthe-Marie Njanpop-Lafourcade; Blessing T. Marondera; Bouh Abdi Khaireh; Bourema Kouriba; Bright Adu; Brigitte Pool; Bronwyn McInnis; Cara Brook; Carolyn Williamson; Cassien Nduwimana; Catherine Anscombe; Catherine B. Pratt; Cathrine Scheepers; Chantal G. Akoua-Koffi; Charles N. Agoti; Chastel M. Mapanguy; Cheikh Loucoubar; Chika K. Onwuamah; Chikwe Ihekweazu; Christian N. Malaka; Christophe Peyrefitte; Chukwa Grace; Chukwuma E. Omoruyi; Clotaire D. Rafaï; Collins M. Morang’a; Cyril Erameh; Daniel B. Lule; Daniel J. Bridges; Daniel Mukadi-Bamuleka; Danny Park; David A. Rasmussen; David Baker; David J. Nokes; Deogratius Ssemwanga; Derek Tshiabuila; Dominic S. Y. Amuzu; Dominique Goedhals; Donald S. Grant; Donwilliams O. Omuoyo; Dorcas Maruapula; Dorcas W. Wanjohi; Ebenezer Foster-Nyarko; Eddy K. Lusamaki; Edgar Simulundu; Edidah M. Ong’era; Edith N. Ngabana; Edward O. Abworo; Edward Otieno; Edwin Shumba; Edwine Barasa; El Bara Ahmed; Elhadi A. Ahmed; Emmanuel Lokilo; Enatha Mukantwari; Eromon Philomena; Essia Belarbi; Etienne Simon-Loriere; Etilé A. Anoh; Eusebio Manuel; Fabian Leendertz; Fahn M. Taweh; Fares Wasfi; Fatma Abdelmoula; Faustinos T. Takawira; Fawzi Derrar; Fehintola V. Ajogbasile; Florette Treurnicht; Folarin Onikepe; Francine Ntoumi; Francisca M. Muyembe; Frank E. Z. Ragomzingba; Fred A. Dratibi; Fred-Akintunwa Iyanu; Gabriel K. Mbunsu; Gaetan Thilliez; Gemma L. Kay; George O. Akpede; Gert U. van Zyl; Gordon A. Awandare; Grace S. Kpeli; Grit Schubert; Gugu P. Maphalala; Hafaliana C. Ranaivoson; Hannah E. Omunakwe; Harris Onywera; Haruka Abe; Hela Karray; Hellen Nansumba; Henda Triki; Herve Albéric Adje Kadjo; Hesham Elgahzaly; Hlanai Gumbo; Hota Mathieu; Hugo Kavunga-Membo; Ibtihel Smeti; Idowu B. Olawoye; Ifedayo M. O. Adetifa; Ikponmwosa Odia; Ilhem Boutiba Ben Boubaker; Iluoreh Ahmed Muhammad; Isaac Ssewanyana; Isatta Wurie; Iyaloo S. Konstantinus; Jacqueline Wemboo Afiwa Halatoko; James Ayei; Janaki Sonoo; Jean-Claude C. Makangara; Jean-Jacques M. Tamfum; Jean-Michel Heraud; Jeffrey G. Shaffer; Jennifer Giandhari; Jennifer Musyoki; Jerome Nkurunziza; Jessica N. Uwanibe; Jinal N. Bhiman; Jiro Yasuda; Joana Morais; Jocelyn Kiconco; John D. Sandi; John Huddleston; John K. Odoom; John M. Morobe; John O. Gyapong; John T. Kayiwa; Johnson C. Okolie; Joicymara S. Xavier; Jones Gyamfi; Joseph F. Wamala; Joseph H. K. Bonney; Joseph Nyandwi; Josie Everatt; Joyce Namulondo; Judith U. Oguzie; Julius J. Lutwama; Katherine J. Siddle; Kefentse A. Tumedi; Kevin S. Carvalho; Khadija Said Mohammed; Kwabena O. Duedu; Lavanya Singh; Lenora M. Kepler; Leon Biscornet; Leonardo de Oliveira Martins; Luicer Olubayo; Lynette I. Ochola-Oyier; Lynn Tyers; Magalutcheemee Ramuth; Maha Mastouri; Mahmoud ElHefnawi; Maitshwarelo I. Matsheka; Maria da Luz Lima Mendonça; Marietjie Venter; Martin M. Nyaga; Matoke-Muhia Damaris; Maximillian G. Mpina; Michael Owusu; Michael R. Wiley; Mohamed K. Khalifa; Mulenga Mwenda; Mushal Allam; My V. T. Phan; Nabil Abid; Ndeye Marieme Top; Nei-yuan Hsiao; Nelson Boricó Silochi; Ngiambudulu M. Francisco; Ngonda Saasa; Nicole Wolter; Nikita Sitharam; Nnaemeka Ndodo; Nnennaya A. Ajayi; Oladiji Femi; Olubusuyi M. Adewumi; Olumade Testimony; Olusola A. Ogunsanya; Ousmane Faye; Patricia Nabisubi; Patrick Semanda; Paul E. Oluniyi; Paulo Arnaldo; Peter Kojo Quashie; Philip Bejon; Philippe Dussart; Rabeh El-Shesheny; Rageema Joseph; Reuben Ayivor-Djanie; Richard O. Phillips; Richmond Gorman; Rosemary A. Audu; Rosina A. A. Carr; Safietou Sankhe; Salome Hosch; Samar Kamal Kassim; Sara Hassan Agwa; Seydou Doumbia; Shymaa S. Ahmed; Sikhulile Moyo; Soa Fy Andriamandimby; Sonia Lekana-Douki; Soumeya Ouangraoua; Stephen F. Schaffner; Stephen Kanyerezi; Sureshnee Pillay; Sylvie Behillil; Sylvie L. Budiaki; Sylvie van der Werf; Thabo Mohale; Thanh Le-Viet; Thirumalaisamy P. Velavan; Tobias Schindler; Tongai G. Maponga; Trevor Bedford; Ugochukwu J. Anyaneji; Ugwu Chinedu; Upasana Ramphal; Uwem E. George; Vincent Enouf; Vishvanath Nene; Wael H. Roshdy; Wolfgang Preiser; Yahaya Ali Ahmed; Yaw Bediako; Yvan Butera; Zaydah R. de Laurent; Anne von Gottberg; George Githinji; Oyewale Tomori; Pardis C. Sabeti; Samuel O. Oyola; Sofonias K. Tessema; Tulio de Oliveira; Christian Happi; Richard Lessells; Eduan Wilkinson; Ahmed Elsayed; Alimuddin Zumla; Amal Souiri; Chakib Nejjari; El Hamouchi Adil; Gomaa Mokhtar; Judith Sokei; Keith Durkin; Kondwani Jambo; Mildred Adusei-Poku; Misaki Wayengera; Mohamed Kamal; Olusola Anuoluwapo Akanbi; Pierre-Edouard Fournier; Richard Molenkamp; Srinivas Reddy Pallerla; Thushan I de Silva;pmid: 36108049
pmc: PMC9529057
International audience; INTRODUCTIONInvestment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic.RATIONALEWe demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs).RESULTSOur results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants.CONCLUSIONSustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century.
CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2022License: CC BYFull-Text: https://researchonline.lshtm.ac.uk/id/eprint/4667570/1/Tegally_etal_2022_The-evolving-sars-cov-2.pdfData sources: CORE (RIOXX-UK Aggregator)Oxford University Research ArchiveOther literature type . 2023License: CC BYData sources: Oxford University Research ArchiveHAL-Pasteur; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesbronze 52 citations 52 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 48visibility views 48 download downloads 184 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator)Article . 2022License: CC BYFull-Text: https://researchonline.lshtm.ac.uk/id/eprint/4667570/1/Tegally_etal_2022_The-evolving-sars-cov-2.pdfData sources: CORE (RIOXX-UK Aggregator)Oxford University Research ArchiveOther literature type . 2023License: CC BYData sources: Oxford University Research ArchiveHAL-Pasteur; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 France, United KingdomPublisher:Springer Science and Business Media LLC Funded by:WT | Estimating the burden of ..., UKRI | Understanding the dynamic..., WT | Using mathematical modell... +9 projectsWT| Estimating the burden of dengue, chikungunya and Zika in Latin America ,UKRI| Understanding the dynamics and drivers of the COVID-2019 epidemic using real-time outbreak analytics ,WT| Using mathematical modelling to re-think global pneumococcal immunisation strategies. ,UKRI| The dynamics of drug resistance within hospital populations of Gram-negative bacteria ,UKRI| GCRF: RECAP - Research capacity building and knowledge generation to support preparedness and response to humanitarian crises and epidemics ,WT| Managing COVID-19 epidemics in low- to middle-income and crisis-affected settings: Epidemiological and economic evaluation ,EC| EpiPose ,WT| Immunity dynamics and epidemiology of cross-reactive pathogens ,WT| Real-time modelling for forecasts during infectious disease outbreaks ,CIHR ,UKRI| DTP Bid Led by London Sch of Hygiene and Trop Medicine ,UKRI| Nosocomial transmission of SARS-CoV-2Rosello, Alicia; Barnard, Rosanna C; Smith, David RM; Evans, Stephanie; Grimm, Fiona; Davies, Nicholas G; Centre for Mathematical Modelling of Infectious Diseases COVID-1; Deeny, Sarah R; Knight, Gwenan M; Edmunds, W John;Abstract Background COVID-19 outbreaks still occur in English care homes despite the interventions in place. Methods We developed a stochastic compartmental model to simulate the spread of SARS-CoV-2 within an English care home. We quantified the outbreak risk with baseline non-pharmaceutical interventions (NPIs) already in place, the role of community prevalence in driving outbreaks, and the relative contribution of all importation routes into a fully susceptible care home. We also considered the potential impact of additional control measures in care homes with and without immunity, namely: increasing staff and resident testing frequency, using lateral flow antigen testing (LFD) tests instead of polymerase chain reaction (PCR), enhancing infection prevention and control (IPC), increasing the proportion of residents isolated, shortening the delay to isolation, improving the effectiveness of isolation, restricting visitors and limiting staff to working in one care home. We additionally present a Shiny application for users to apply this model to their facility of interest, specifying care home, outbreak and intervention characteristics. Results The model suggests that importation of SARS-CoV-2 by staff, from the community, is the main driver of outbreaks, that importation by visitors or from hospitals is rare, and that the past testing strategy (monthly testing of residents and daily testing of staff by PCR) likely provides negligible benefit in preventing outbreaks. Daily staff testing by LFD was 39% (95% 18–55%) effective in preventing outbreaks at 30 days compared to no testing. Conclusions Increasing the frequency of testing in staff and enhancing IPC are important to preventing importations to the care home. Further work is needed to understand the impact of vaccination in this population, which is likely to be very effective in preventing outbreaks.
Oxford University Re... arrow_drop_down Oxford University Research Archive; BMC Infectious DiseasesOther literature type . Article . 2023 . 2022 . Peer-reviewedLicense: CC BYHAL Descartes; HAL-Pasteur; HAL-Inserm; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03642587/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Oxford University Re... arrow_drop_down Oxford University Research Archive; BMC Infectious DiseasesOther literature type . Article . 2023 . 2022 . Peer-reviewedLicense: CC BYHAL Descartes; HAL-Pasteur; HAL-Inserm; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03642587/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 FrancePublisher:Frontiers Media SA Funded by:NIH | Inter-regional study of t..., WT | To B or not to B: Investi..., NIH | Molecular Basis of Dengue... +1 projectsNIH| Inter-regional study of transmission, adaptation and pathogenesis of viruses with pandemic potential in Southeast Asia and West/Central Africa ,WT| To B or not to B: Investigation of B cell responses during secondary flavivirus infection ,NIH| Molecular Basis of Dengue Virus Neutralization by Human Antibodies ,NIH| Mechanisms of Protection and Durability for a Live Attenuated Tetravalent Dengue VaccineAuthors: Tineke, Cantaert; Nolwenn, Jouvenet; Sean A, Diehl;Tineke, Cantaert; Nolwenn, Jouvenet; Sean A, Diehl;International audience; The ongoing COVID-19 pandemic has highlighted a central principle of the host immune response to RNA virus infections: while most infected patients remain asymptomatic or mild symptomatic, a portion of patients experience severe clinical symptoms, suggesting the existence of host immune factors that determine susceptibility to symptomatic disease...
Frontiers in Immunol... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Frontiers in Immunol... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 Netherlands, France, Finland, Belgium, France, France, Belgium, Denmark, France, FinlandPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:EC | DiversiPHI, AKA | Environmental RNAi for pa..., AKA | Treating severe COVID-19 ... +3 projectsEC| DiversiPHI ,AKA| Environmental RNAi for pathogen control ,AKA| Treating severe COVID-19 associated secondary bacterial infections with Phage Therapy under the Declaration of Helsinki / Consortium: COVID-19_Phage ,EC| PHAGENET ,WT ,AKA| Plasmid-dependent bacteriophages: a novel tool to fight bacterial biofilms, persistent infections and the spread of antibiotic resistanceKrupovic, Mart; Turner, Dann; Morozova, Vera; Dyall-Smith, Mike; Oksanen, Hanna M.; Edwards, Rob; Dutilh, Bas E.; Lehman, Susan M.; Reyes, Alejandro; Baquero, Diana P.; Sullivan, Matthew B.; Uchiyama, Jumpei; Nakavuma, Jesca; Barylski, Jakub; Young, Mark J.; Du, Shishen; Alfenas-Zerbini, Poliane; Kushkina, Alla; Kropinski, Andrew M.; Kurtboke, Ipek; Brister, J. Rodney; Lood, Cedric; Sarkar, B. L.; Yigang, Tong; Liu, Ying; Huang, Li; Wittmann, Johannes; Chanishvili, Nina; van Zyl, Leonardo J.; Rumnieks, Janis; Mochizuki, Tomohiro; Jalasvuori, Matti; Aziz, Ramy K.; Lobocka, Malgorzata; Stedman, Kenneth M.; Shkoporov, Andrey N.; Gillis, Annika; Peng, Xu; Enault, Francois; Knezevic, Petar; Lavigne, Rob; Rhee, Sung-Keun; Cvirkaite-Krupovic, Virginija; Moraru, Cristina; Moreno Switt, Andrea I.; Poranen, Minna M.; Millard, Andrew; Prangishvili, David; Adriaenssens, Evelien M.; Sub Bioinformatics; Theoretical Biology and Bioinformatics;In this article, we – the Bacterial Viruses Subcommittee and the Archaeal Viruses Subcommittee of the International Committee on Taxonomy of Viruses (ICTV) – summarise the results of our activities for the period March 2020 – March 2021. We report the division of the former Bacterial and Archaeal Viruses Subcommittee in two separate Subcommittees, welcome new members, a new Subcommittee Chair and Vice Chair, and give an overview of the new taxa that were proposed in 2020, approved by the Executive Committee and ratified by vote in 2021. In particular, a new realm, three orders, 15 families, 31 subfamilies, 734 genera and 1845 species were newly created or redefined (moved/promoted). Supplementary Information The online version contains supplementary material available at 10.1007/s00705-021-05205-9.
NARCIS arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8497307Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemHELDA - Digital Repository of the University of HelsinkiArticle . 2021Data sources: HELDA - Digital Repository of the University of HelsinkiJyväskylä University Digital ArchiveArticle . 2021License: CC BYData sources: Jyväskylä University Digital ArchiveHAL Clermont Université; HAL Descartes; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2021License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert NARCIS arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8497307Data sources: PubMed CentralCopenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemHELDA - Digital Repository of the University of HelsinkiArticle . 2021Data sources: HELDA - Digital Repository of the University of HelsinkiJyväskylä University Digital ArchiveArticle . 2021License: CC BYData sources: Jyväskylä University Digital ArchiveHAL Clermont Université; HAL Descartes; HAL-Pasteur; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2021License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 France, United Kingdom, Belgium, Switzerland, FrancePublisher:American Association for the Advancement of Science (AAAS) Funded by:WT | University of Edinburgh -..., EC | MOOD, UKRI | East of Scotland Bioscien... +5 projectsWT| University of Edinburgh - Hosts, Pathogens & Global Health ,EC| MOOD ,UKRI| East of Scotland Bioscience Doctoral Training Partnership ,WT| Real-time genetic cartography of viral epidemics ,EC| ReservoirDOCs ,UKRI| Doctoral Training Partnership in Environmental Research ,UKRI| The Oxford Interdisciplinary Bioscience Doctoral Training Partnership ,WT| Putting genomic surveillance at the heart of viral epidemic response.Moritz U. G. Kraemer; Verity Hill; Christopher Ruis; Simon Dellicour; Sumali Bajaj; John T. McCrone; Guy Baele; Kris V Parag; Anya Lindström Battle; Bernardo Gutierrez; Ben Jackson; Rachel M. Colquhoun; Áine O'Toole; Brennan Klein; Alessandro Vespignani; Erik M. Volz; Nuno R. Faria; David M. Aanensen; Nicholas J. Loman; Louis du Plessis; Simon Cauchemez; Andrew Rambaut; Samuel V. Scarpino; Oliver G. Pybus;pmid: 34301854
pmc: PMC9269003
Understanding the causes and consequences of the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern is crucial to pandemic control yet difficult to achieve because they arise in the context of variable human behavior and immunity. We investigated the spatial invasion dynamics of lineage B.1.1.7 by jointly analyzing UK human mobility, virus genomes, and community-based polymerase chain reaction data. We identified a multistage spatial invasion process in which early B.1.1.7 growth rates were associated with mobility and asymmetric lineage export from a dominant source location, enhancing the effects of B.1.1.7's increased intrinsic transmissibility. We further explored how B.1.1.7 spread was shaped by nonpharmaceutical interventions and spatial variation in previous attack rates. Our findings show that careful accounting of the behavioral and epidemiological context within which variants of concern emerge is necessary to interpret correctly their observed relative growth rates. ispartof: SCIENCE vol:373 issue:6557 pages:889-+ ispartof: location:United States status: published
CORE (RIOXX-UK Aggre... arrow_drop_down Oxford University Research ArchiveOther literature type . 2021License: CC BYData sources: Oxford University Research ArchiveSpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 115 citations 115 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 35visibility views 35 download downloads 49 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Oxford University Research ArchiveOther literature type . 2021License: CC BYData sources: Oxford University Research ArchiveSpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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