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description Publicationkeyboard_double_arrow_right Preprint , Article 2023Publisher:Elsevier BV Chee Mun Chan; Chee Mun Chan; Asrul Abdul Wahab; Adli Ali; Adli Ali; Adli Ali; Adli Ali;IntroductionRespiratory syncytial virus (RSV) is one of the leading causes of hospitalization and mortality among children with respiratory tract infections. The non-pharmaceutical preventive measures against severe acute respiratory syndrome coronavirus (COVID-19) may have reduced the transmission of RSV, altering its tropical epidemiological seasonality. Thus, this study represents the first attempt to evaluate changes in RSV epidemiology in the context of COVID-19 pandemic in Malaysia.MethodsConducted at a tertiary hospital in Kuala Lumpur, Malaysia, this retrospective study analyzed collated data of children aged <12 years who were admitted for severe respiratory infections from 2017 to 2022. Time series models were used to predict the differences between actual and forecasted RSV cases, while logistic regression assessed the statistical association between RSV and COVID-19.ResultsAmong the 4,084 children analyzed, we reported a significant inverse relationship between RSV and COVID-19 infections during the pandemic (2020–2021) (p < 0.05). In 2020, the RSV positivity rate sharply declined to 8.3 and 5.9%, respectively, in the two prominent seasons. Time series analysis showed a tremendous decrease in cases compared to the expected values, with reductions of 98.3% in the first season and 95.7% in the second season. However, following the lifting of the restriction order in 2022, RSV infections rose sharply with a positivity rate of 36.3%, higher than pre-COVID-19 pandemic levels.ConclusionThis study provides evidence of increasing RSV cases post-COVID-19 pandemic, due to immunity debt. Hence, the healthcare system must be prepared to address future RSV outbreaks with the appropriate implementation of prophylaxis and public health measures.
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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 add 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=10.2139/ssrn.4639609&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2022Publisher:Research Square Platform LLC XinYing, Chew; Khai Wah, Khaw; Alhamzah, Alnoor; Marcos, Ferasso; Hussam, Al Halbusi; Yousif Raad, Muhsen;pmid: 37097584
pmc: PMC10088637 , PMC10320781
Environmental pollution has been a major concern for researchers and policymakers. A number of studies have been conducted to enquire the causes of environmental pollution which suggested numerous policies and techniques as remedial measures. One such major source of environmental pollution, as reported by previous studies, has been the garbage resulting from disposed hospital wastes. The recent outbreak of the COVID-19 pandemic has resulted into mass generation of medical waste which seems to have further deteriorated the issue of environmental pollution. This necessitates active attention from both the researchers and policymakers for effective management of medical waste to prevent the harm to environment and human health. The issue of medical waste management is more important for countries lacking sophisticated medical infrastructure. Accordingly, the purpose of this study is to propose a novel application for identification and classification of 10 hospitals in Iraq which generated more medical waste during the COVID-19 pandemic than others in order to address the issue more effectively. We used the Multi-Criteria Decision Making (MCDM) method to this end. We integrated MCDM with other techniques including the Analytic Hierarchy Process (AHP), linear Diophantine fuzzy set decision by opinion score method (LDFN-FDOSM), and Artificial Neural Network (ANN) analysis to generate more robust results. We classified medical waste into five categories, i.e., general waste, sharp waste, pharmaceutical waste, infectious waste, and pathological waste. We consulted 313 experts to help in identifying the best and the worst medical waste management technique within the perspectives of circular economy using the neural network approach. The findings revealed that incineration technique, microwave technique, pyrolysis technique, autoclave chemical technique, vaporized hydrogen peroxide, dry heat, ozone, and ultraviolet light were the most effective methods to dispose of medical waste during the pandemic. Additionally, ozone was identified as the most suitable technique among all to serve the purpose of circular economy of medical waste. We conclude by discussing the practical implications to guide governments and policy makers to benefit from the circular economy of medical waste to turn pollutant hospitals into sustainable ones.
Europe PubMed Centra... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefEnvironmental Science and Pollution ResearchArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd 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=10.21203/rs.3.rs-2145982/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 30 citations 30 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefEnvironmental Science and Pollution ResearchArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd 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=10.21203/rs.3.rs-2145982/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2022Publisher:Cold Spring Harbor Laboratory Xin Huang; Minhao Yao; Peixin Tian; Jason Y. Y. Wong; Zilin Li; Zhonghua Liu; Jie V. Zhao;pmc: PMC9164523 , PMC10120502
AbstractVenous thromboembolism occurs in up to one-third of patients with COVID-19. Venous thromboembolism and COVID-19 may share a common genetic architecture, which has not been clarified. To fill this gap, we leverage summary-level genetic data from the latest COVID‐19 host genetics consortium and UK Biobank and examine the shared genetic etiology and causal relationship between COVID-19 and venous thromboembolism. The cross-trait and co-localization analyses identify 2, 3, and 4 shared loci between venous thromboembolism and severe COVID-19, COVID-19 hospitalization, SARS-CoV-2 infection respectively, which are mapped to ABO, ADAMTS13, FUT2 genes involved in coagulation functions. Enrichment analysis supports shared biological processes between COVID-19 and venous thromboembolism related to coagulation and immunity. Bi-directional Mendelian randomization suggests that venous thromboembolism was associated with higher risk of three COVID-19 traits, and SARS-CoV-2 infection was associated with a higher risk of venous thromboembolism. Our study provides timely evidence for the genetic etiology between COVID-19 and venous thromboembolism (VTE). Our findings contribute to the understanding of COVID-19 and VTE etiology and provide insights into the prevention and comorbidity management of COVID-19.
add 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=10.1101/2022.05.21.22275413&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert add 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=10.1101/2022.05.21.22275413&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2022Publisher:Cold Spring Harbor Laboratory Funded by:NIH | Defining the impact of dr..., NIH | MEDICAL SCIENTIST TRAININ..., NIH | Natural killer cell engin...NIH| Defining the impact of drug use on immune function and fitness against HIV-1 ,NIH| MEDICAL SCIENTIST TRAINING PROGRAM ,NIH| Natural killer cell engineering to target the HIV reservoirAuthors: Aaron J. Wilk; Alex K. Shalek; Susan Holmes; Catherine A. Blish;Aaron J. Wilk; Alex K. Shalek; Susan Holmes; Catherine A. Blish;pmc: PMC10638471 , PMC8845414
ABSTRACTInference of cell-cell communication (CCC) from single-cell RNA-sequencing data is a powerful technique to uncover putative axes of multicellular coordination, yet existing methods perform this analysis at the level of the cell type or cluster, discarding single-cell level information. Here we present Scriabin – a flexible and scalable framework for comparative analysis of CCC at single-cell resolution. We leverage multiple published datasets to show that Scriabin recovers expected CCC edges and use spatial transcriptomic data, genetic perturbation screens, and direct experimental manipulation of receptor-ligand interactions to validate that the recovered edges are biologically meaningful. We then apply Scriabin to uncover co-expressed programs of CCC from atlas-scale datasets, validating known communication pathways required for maintaining the intestinal stem cell niche and revealing species-specific communication pathways. Finally, we utilize single-cell communication networks calculated using Scriabin to follow communication pathways that operate between timepoints in longitudinal datasets, highlighting bystander cells as important initiators of inflammatory reactions in acute SARS-CoV-2 infection. Our approach represents a broadly applicable strategy to leverage single-cell resolution data maximally toward uncovering CCC circuitry and rich niche-phenotype relationships in health and disease.
https://www.biorxiv.... arrow_drop_down Nature BiotechnologyArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd 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=10.1101/2022.02.04.479209&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 18 citations 18 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert https://www.biorxiv.... arrow_drop_down Nature BiotechnologyArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd 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=10.1101/2022.02.04.479209&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Article , Other literature type 2022Publisher:Cold Spring Harbor Laboratory Funded by:NIH | Clinical and Translationa..., NIH | Microbiome-based diagnosi..., NIH | Immunosuppression in Acut... +1 projectsNIH| Clinical and Translational Science Award ,NIH| Microbiome-based diagnosis of pneumonia in the acute respiratory distress syndrome ,NIH| Immunosuppression in Acute Lung Injury ,NIH| ACTIV Integration of Host-targeting Therapies for COVID-19 Administrative Coordinating CenterJana L. Jacobs; Asma Naqvi; Faraaz A. Shah; Valerie F. Boltz; Mary F. Kearney; Bryan J. McVerry; Prabir Ray; Caitlin Schaefer; Meghan Fitzpatrick; Barbara Methé; Janet Lee; Alison Morris; John W. Mellors; Georgios D. Kitsios; William Bain;pmc: PMC8764731 , PMC10205612
Abstract Plasma SARS-CoV-2 viral RNA (vRNA) levels are predictive of COVID-19 outcomes in hospitalized patients, but whether plasma vRNA reflects lower respiratory tract (LRT) vRNA levels is unclear. We compared plasma and LRT vRNA levels in serially collected samples from mechanically ventilated patients with COVID-19. LRT and plasma vRNA levels were strongly correlated at first sampling (n = 33, r = 0.83, P < 10−9) and then declined in parallel in available serial samples except in nonsurvivors who exhibited delayed vRNA clearance in LRT samples. Plasma vRNA measurement may offer a practical surrogate of LRT vRNA burden in critically ill patients, especially early after ICU admission.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8764731Data sources: PubMed Centraladd 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=10.1101/2022.01.10.22269018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8764731Data sources: PubMed Centraladd 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=10.1101/2022.01.10.22269018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Article 2022Publisher:Cold Spring Harbor Laboratory Israel, Ariel; Schäffer, Alejandro A.; Merzon, Eugene; Green, Ilan; Magen, Eli; Golan-Cohen, Avivit; Vinker, Shlomo; Ruppin, Eytan;AbstractBackgroundVaccines are highly effective in preventing severe disease and death from COVID-19, and new medications that can reduce severity of disease have been approved. However, many countries are facing limited supply of vaccine doses and medications. A model estimating the probabilities for hospitalization and mortality according to individual risk factors and vaccine doses received could help prioritize vaccination and yet scarce medications to maximize lives saved and reduce the burden on hospitalization facilities.MethodsElectronic health records from 101,039 individuals infected with SARS-CoV-2, since the beginning of the pandemic and until November 30, 2021 were extracted from a national healthcare organization in Israel. Logistic regression models were built to estimate the risk for subsequent hospitalization and death based on the number of BNT162b2 mRNA vaccine doses received and few major risk factors (age, sex, body mass index, hemoglobin A1C, kidney function, and presence of hypertension, pulmonary disease and malignancy).ResultsThe models built predict the outcome of newly infected individuals with remarkable accuracy: area under the curve was 0.889 for predicting hospitalization, and 0.967 for predicting mortality. Even when a breakthrough infection occurs, having received three vaccination doses significantly reduces the risk of hospitalization by 66% (OR=0.339) and of death by 78% (OR=0.223).ConclusionsThe models enable rapid identification of individuals at high risk for hospitalization and death when infected. These patients can be prioritized to receive booster vaccination and the yet scarce medications. A calculator based on these models is made publicly available on http://covidest.web.app
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8750716Data sources: PubMed Centraladd 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=10.1101/2021.12.31.21268575&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8750716Data sources: PubMed Centraladd 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=10.1101/2021.12.31.21268575&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Article 2021Publisher:Research Square Platform LLC Authors: Alzamani M, Idrose; Fikri M, Abu-Zidan; Nurul Liana, Roslan; Khairul Izwan M, Hashim; +2 AuthorsAlzamani M, Idrose; Fikri M, Abu-Zidan; Nurul Liana, Roslan; Khairul Izwan M, Hashim; Saiyidi Mohd Azizi, Mohd Adibi; Mahathar, Abd Wahab;Abstract Background Two city trains collided in an underground tunnel on 24 May 2021 at the height of COVID-19 pandemic near the Petronas Towers, Kuala Lumpur, Malaysia, immediately after the evening rush hours. We aim to evaluate the management of this mass casualty incident highlighting the lessons learned to be used in preparedness for similar incidents that may occur in other major cities worldwide. Methods Information regarding incident site and hospital management response were analysed. Data on demography, triaging, injuries and hospital management of patients were collected according to a designed protocol. Challenges, difficulties and their solutions were reported. Results The train's emergency response team (ERT) has shut down train movements towards the incident site. Red zone (in the tunnel), yellow zone (the station platform) and green zone (outside the station entrance) were established. The fire and rescue team arrived and assisted the ERT in the red zone. Incident command system was established at the site. Medical base station was established at the yellow zone. Two hundred and fourteen passengers were in the trains. Sixty-four of them were injured. They had a median (range) ISS of 2 (1–43), and all were sent to Hospital Kuala Lumpur (HKL). Six (9.4%) patients were clinically triaged as red (critical), 19 (29.7%) as yellow (semi-critical) and 39 (60.9%) as green (non-critical). HKL's disaster plan was activated. All patients underwent temperature and epidemiology link assessment. Seven (10.9%) patients were admitted to the hospital (3 to the ICU, 3 to the ward and 1 to a private hospital as requested by the patient), while the rest 56 (87.5%) were discharged home. Six (9.4%) needed surgery. The COVID-19 tests were conducted on seven patients (10.9%) and were negative. There were no deaths. Conclusions The mass casualty incident was handled properly because of a clear standard operating procedure, smooth coordination between multi-agencies and the hospitals, presence of a 'binary' system for 'COVID-risk' and 'non-COVID-risk' areas, and the modifications of the existing disaster plan. Preparedness for MCIs is essential during pandemics.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8748182Data sources: PubMed CentralWorld Journal of Emergency SurgeryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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=10.21203/rs.3.rs-1115218/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8748182Data sources: PubMed CentralWorld Journal of Emergency SurgeryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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=10.21203/rs.3.rs-1115218/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021Publisher:Springer Science and Business Media LLC Demetris Avraam; Nick Obradovich; Niccolo Pescetelli; Manuel Cebrian; Alex Rutherford;pmid: 34819577
pmc: PMC8613398
AbstractPolicymakers commonly employ non-pharmaceutical interventions to reduce the scale and severity of pandemics. Of non-pharmaceutical interventions, physical distancing policies—designed to reduce person-to-person pathogenic spread – have risen to recent prominence. In particular, stay-at-home policies of the sort widely implemented around the globe in response to the COVID-19 pandemic have proven to be markedly effective at slowing pandemic growth. However, such blunt policy instruments, while effective, produce numerous unintended consequences, including potentially dramatic reductions in economic productivity. In this study, we develop methods to investigate the potential to simultaneously contain pandemic spread while also minimizing economic disruptions. We do so by incorporating both occupational and contact network information contained within an urban environment, information that is commonly excluded from typical pandemic control policy design. The results of our methods suggest that large gains in both economic productivity and pandemic control might be had by the incorporation and consideration of simple-to-measure characteristics of the occupational contact network. We find evidence that more sophisticated, and more privacy invasive, measures of this network do not drastically increase performance.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8613398Data sources: PubMed CentralarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archiveadd 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=10.1038/s41598-021-02226-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8613398Data sources: PubMed CentralarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archiveadd 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=10.1038/s41598-021-02226-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2021Publisher:Research Square Platform LLC Funded by:NIH | Multidisciplinary Researc...NIH| Multidisciplinary Research Training to Understand and Reduce HIV Incidence in UgandaCharles Ssuuna; Ronald Moses Galiwango; Edward Nelson Kankaka; Joseph Kagaayi; Anthony Ndyanabo; Godfrey Kigozi; Gertrude Nakigozi; Tom Lutalo; Robert Ssekubugu; John Bosco Wasswa; Anthony Mayinja; Martina Cathy Nakibuuka; Samiri Jamiru; John Baptist Oketch; Edward Muwanga; Larry William Chang; Mary Kate Grabowski; Maria Wawer; Ronald Gray; Mark Anderson; Michael Stec; Gavin Cloherty; Oliver Laeyendecker; Steven James Reynolds; Thomas C. Quinn; David Serwadda;pmc: PMC8547523 , PMC8860367
Abstract Background Globally, key subpopulations such as healthcare workers (HCW) may have a higher risk of contracting SARS-CoV-2. In Uganda, limited access to Personal Protective Equipment and lack of clarity on the extent/pattern of community spread may exacerbate this situation. The country established infection prevention/control measures such as lockdowns and proper hand hygiene. However, due to resource limitations and fatigue, compliance is low, posing continued onward transmission risk. This study aimed to describe extent of SARS-CoV-2 seroprevalence in selected populations within the Rakai region of Uganda. Methods From 30th November 2020 to 8th January 2021, we collected venous blood from 753 HCW at twenty-six health facilities in South-Central Uganda and from 227 population-cohort participants who reported specific COVID-19 like symptoms (fever, cough, loss of taste and appetite) in a prior phone-based survey conducted (between May and August 2020) during the first national lockdown. 636 plasma specimens collected from individuals considered high risk for SARS-CoV-2 infection, prior to the first confirmed COVID-19 case in Uganda were also retrieved. Specimens were tested for antibodies to SARS-CoV-2 using the CoronaChek™ rapid COVID-19 IgM/IgG lateral flow test assay. IgM only positive samples were confirmed using a chemiluminescent microparticle immunoassay (CMIA) (Architect AdviseDx SARS-CoV-2 IgM) which targets the spike protein. SARS-CoV-2 exposure was defined as either confirmed IgM, both IgM and IgG or sole IgG positivity. Overall seroprevalence in each participant group was estimated, adjusting for test performance. Results The seroprevalence of antibodies to SARS-CoV-2 in HCW was 26.7% [95%CI: 23.5, 29.8] with no difference by sex, age, or cadre. We observed no association between PPE use and seropositivity among exposed healthcare workers. Of the phone-based survey participants, 15.6% [95%CI: 10.9, 20.3] had antibodies to SARS-CoV-2, with no difference by HIV status, sex, age, or occupation. Among 636 plasma specimens collected prior to the first confirmed COVID-19 case, 2.3% [95%CI: 1.2, 3.5] were reactive. Conclusions Findings suggest high seroprevalence of antibodies to SARS-CoV-2 among HCW and substantial exposure in persons presenting with specific COVID-19 like symptoms in the general population of South-Central Uganda. Based on current limitations in serological test confirmation, it remains unclear whether seroprevalence among plasma specimens collected prior to confirmation of the first COVID-19 case implies prior SARS-CoV-2 exposure in Uganda.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8547523Data sources: PubMed Centraladd 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 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8547523Data sources: PubMed Centraladd 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 Preprint , Article 2021 Belgium, Italy, DenmarkPublisher:Cold Spring Harbor Laboratory Funded by:NIH | ITEST: Innovative Tools t..., NIH | Mentoring Multidisciplina...NIH| ITEST: Innovative Tools to Expand Youth-Friendly HIV Self-Testing ,NIH| Mentoring Multidisciplinary Global HIV Patient-Oriented ResearchAuthors: Erausquin, Jennifer Toller; Tan, Rayner K J; Uhlich, Maximiliane; Francis, Joel M; +63 AuthorsErausquin, Jennifer Toller; Tan, Rayner K J; Uhlich, Maximiliane; Francis, Joel M; Kumar, Navin; Campbell, Linda; Zhang, Wei-Hong; Hlatshwako, Takhona G; Kosana, Priya; Shah, Sonam; Brenner, Erica M; Remmerie, Lore; Mussa, Aamirah; Klapilova, Katerina; Mark, Kristen; Perotta, Gabriela; Gabster, Amanda; Wouters, Edwin; Burns, Sharyn; Hendriks, Jacqueline; Hensel, Devon J; Shamu, Simukai; Strizzi, Jenna Marie; Esho, Tammary; Morroni, Chelsea; Eleuteri, Stefano; Sahril, Norhafiza; Low, Wah Yun; Plasilova, Leona; Lazdane, Gunta; Marks, Michael; Olumide, Adesola; Abdelhamed, Amr; López Gómez, Alejandra; Michielsen, Kristien; Moreau, Caroline; Tucker; Joseph D; Juan Carlos Rivillas; Ismael Maatouk; Noor A. Ahmad; Nathalie Bajos; Peer Briken; Elizabeth Kemigisha; Filippo Maria Nimbi; Emmanuel Adebayo; Pedro Nobre; Samuel Kimani; Felipe Hurtado-Murillo; Peter Gichangi; Wanzahun Godana; Viola Nilah Nyakato; Caitlin Alsandria O’Hara; Lucia Knight; Osama Shaeer; Sally Griffin; Gert M. Hald; Eusebio Rubio-Aurioles; Inês Tavares; Kun Tang; Weiming Tang; Fengshi Jing; Dace Rezerberga; Rocio Murad Rivera; Kamila Janmohamed; Soraya Calvo González; Corina Iliadi-Tulbure;pmc: PMC8547535 , PMC9383436
handle: 11573/1664083 , 10067/1880580151162165141
Abstract Background To better understand sexual and reproductive health (SRH) during the initial COVID-19 wave, we organized a multi-country cross-sectional survey. Methods Consortium research teams conducted online surveys in 30 countries. Primary outcomes included sexual behaviors, partner violence, and SRH service utilization, and we compared three months prior to and three months after policy measures to mitigate COVID-19. We used established indicators and analyses pre-specified in our protocol. We conducted meta-analyses for primary outcomes and graded the certainty of the evidence using Cochrane methods. Findings Descriptive analyses included 22,724 individuals in 25 countries. Five additional countries with sample sizes Interpretation The initial COVID-19 wave impacted SRH behaviors and access to services across diverse global settings. Funding United States National Institutes of Health, Latvia National Research Programme to Lessen the Effects of COVID-19 Research in context Evidence before this study In 2020, the COVID-19 pandemic forced billions of people to shelter in place, altering social and sexual relationships worldwide. In many settings, COVID-19 undercut already precarious health infrastructure and health service provision. However, there is limited evidence to date about changes to sexual and reproductive health (SRH) during the initial wave of SARS-CoV-2 infections (COVID-19 disease). Most studies have focused on high-income countries, rather than examining broader regional and global trends. To address this gap, our team organized a multi-country, cross-sectional online survey as part of a global consortium. Consortium research teams in 30 low, middle, and high-income countries collaboratively developed the survey instrument using existing measures and items adapted for COVID-19. Topics included sociodemographic characteristics; compliance with COVID-19 mitigation measures; couple and family relationships; sexual behavior; contraceptive use and barriers to access; access to reproductive healthcare; abortion; sexual violence and intimate partner violence (IPV); HIV/STI testing and treatment; and optional sections including female genital cutting and early marriage; mental health; and food insecurity. This multi-country, cross-sectional study aimed to better understand SRH prior to and during the first wave of the COVID-19 pandemic in participating countries. Added value of this study This study was conducted in thirty diverse settings during a pandemic. In addition to providing needed evidence about SRH during COVID-19 across low-, middle-, and high-income countries, the study demonstrates the feasibility and utility of a new framework for global health collaboration. Using an inclusive open science approach, we were able to harmonize key sexual health variables across countries. Our use of online data collection and large reliance on convenience sampling provides both challenges and opportunities. Implications of all the available evidence This multi-country study provides detailed sexual and behavioral data across diverse global settings. Our findings suggest that COVID-19 measures during the initial wave of the COVID-19 pandemic impacted sexual and reproductive health behaviors and access to services worldwide. In particular, our findings show a sizable proportion of people needing SRH services including HIV/STI testing and abortion reported that their access to these services was limited due to COVID-19 measures. These results suggest the need for expanded use of decentralized SRH interventions that can be implemented in emergency settings, such as self-testing, self-collection, and telemedicine.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8547535Data sources: PubMed CentralCORE (RIOXX-UK Aggregator)Article . 2022License: CC BY NC NDData sources: CORE (RIOXX-UK Aggregator)Clinical Infectious DiseasesArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: CrossrefInstitutional Repository Universiteit AntwerpenArticle . 2022Data sources: Institutional Repository Universiteit AntwerpenCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemArchivio della ricerca- Università di Roma La SapienzaArticle . Preprint . 2021add 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 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8547535Data sources: PubMed CentralCORE (RIOXX-UK Aggregator)Article . 2022License: CC BY NC NDData sources: CORE (RIOXX-UK Aggregator)Clinical Infectious DiseasesArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: CrossrefInstitutional Repository Universiteit AntwerpenArticle . 2022Data sources: Institutional Repository Universiteit AntwerpenCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemArchivio della ricerca- Università di Roma La SapienzaArticle . Preprint . 2021add 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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description Publicationkeyboard_double_arrow_right Preprint , Article 2023Publisher:Elsevier BV Chee Mun Chan; Chee Mun Chan; Asrul Abdul Wahab; Adli Ali; Adli Ali; Adli Ali; Adli Ali;IntroductionRespiratory syncytial virus (RSV) is one of the leading causes of hospitalization and mortality among children with respiratory tract infections. The non-pharmaceutical preventive measures against severe acute respiratory syndrome coronavirus (COVID-19) may have reduced the transmission of RSV, altering its tropical epidemiological seasonality. Thus, this study represents the first attempt to evaluate changes in RSV epidemiology in the context of COVID-19 pandemic in Malaysia.MethodsConducted at a tertiary hospital in Kuala Lumpur, Malaysia, this retrospective study analyzed collated data of children aged <12 years who were admitted for severe respiratory infections from 2017 to 2022. Time series models were used to predict the differences between actual and forecasted RSV cases, while logistic regression assessed the statistical association between RSV and COVID-19.ResultsAmong the 4,084 children analyzed, we reported a significant inverse relationship between RSV and COVID-19 infections during the pandemic (2020–2021) (p < 0.05). In 2020, the RSV positivity rate sharply declined to 8.3 and 5.9%, respectively, in the two prominent seasons. Time series analysis showed a tremendous decrease in cases compared to the expected values, with reductions of 98.3% in the first season and 95.7% in the second season. However, following the lifting of the restriction order in 2022, RSV infections rose sharply with a positivity rate of 36.3%, higher than pre-COVID-19 pandemic levels.ConclusionThis study provides evidence of increasing RSV cases post-COVID-19 pandemic, due to immunity debt. Hence, the healthcare system must be prepared to address future RSV outbreaks with the appropriate implementation of prophylaxis and public health measures.
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 add 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 , Preprint 2022Publisher:Research Square Platform LLC XinYing, Chew; Khai Wah, Khaw; Alhamzah, Alnoor; Marcos, Ferasso; Hussam, Al Halbusi; Yousif Raad, Muhsen;pmid: 37097584
pmc: PMC10088637 , PMC10320781
Environmental pollution has been a major concern for researchers and policymakers. A number of studies have been conducted to enquire the causes of environmental pollution which suggested numerous policies and techniques as remedial measures. One such major source of environmental pollution, as reported by previous studies, has been the garbage resulting from disposed hospital wastes. The recent outbreak of the COVID-19 pandemic has resulted into mass generation of medical waste which seems to have further deteriorated the issue of environmental pollution. This necessitates active attention from both the researchers and policymakers for effective management of medical waste to prevent the harm to environment and human health. The issue of medical waste management is more important for countries lacking sophisticated medical infrastructure. Accordingly, the purpose of this study is to propose a novel application for identification and classification of 10 hospitals in Iraq which generated more medical waste during the COVID-19 pandemic than others in order to address the issue more effectively. We used the Multi-Criteria Decision Making (MCDM) method to this end. We integrated MCDM with other techniques including the Analytic Hierarchy Process (AHP), linear Diophantine fuzzy set decision by opinion score method (LDFN-FDOSM), and Artificial Neural Network (ANN) analysis to generate more robust results. We classified medical waste into five categories, i.e., general waste, sharp waste, pharmaceutical waste, infectious waste, and pathological waste. We consulted 313 experts to help in identifying the best and the worst medical waste management technique within the perspectives of circular economy using the neural network approach. The findings revealed that incineration technique, microwave technique, pyrolysis technique, autoclave chemical technique, vaporized hydrogen peroxide, dry heat, ozone, and ultraviolet light were the most effective methods to dispose of medical waste during the pandemic. Additionally, ozone was identified as the most suitable technique among all to serve the purpose of circular economy of medical waste. We conclude by discussing the practical implications to guide governments and policy makers to benefit from the circular economy of medical waste to turn pollutant hospitals into sustainable ones.
Europe PubMed Centra... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefEnvironmental Science and Pollution ResearchArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd 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 30 citations 30 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: CrossrefEnvironmental Science and Pollution ResearchArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd 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 , Preprint , Other literature type 2022Publisher:Cold Spring Harbor Laboratory Xin Huang; Minhao Yao; Peixin Tian; Jason Y. Y. Wong; Zilin Li; Zhonghua Liu; Jie V. Zhao;pmc: PMC9164523 , PMC10120502
AbstractVenous thromboembolism occurs in up to one-third of patients with COVID-19. Venous thromboembolism and COVID-19 may share a common genetic architecture, which has not been clarified. To fill this gap, we leverage summary-level genetic data from the latest COVID‐19 host genetics consortium and UK Biobank and examine the shared genetic etiology and causal relationship between COVID-19 and venous thromboembolism. The cross-trait and co-localization analyses identify 2, 3, and 4 shared loci between venous thromboembolism and severe COVID-19, COVID-19 hospitalization, SARS-CoV-2 infection respectively, which are mapped to ABO, ADAMTS13, FUT2 genes involved in coagulation functions. Enrichment analysis supports shared biological processes between COVID-19 and venous thromboembolism related to coagulation and immunity. Bi-directional Mendelian randomization suggests that venous thromboembolism was associated with higher risk of three COVID-19 traits, and SARS-CoV-2 infection was associated with a higher risk of venous thromboembolism. Our study provides timely evidence for the genetic etiology between COVID-19 and venous thromboembolism (VTE). Our findings contribute to the understanding of COVID-19 and VTE etiology and provide insights into the prevention and comorbidity management of COVID-19.
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 RoutesGreen 3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert add 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=10.1101/2022.05.21.22275413&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2022Publisher:Cold Spring Harbor Laboratory Funded by:NIH | Defining the impact of dr..., NIH | MEDICAL SCIENTIST TRAININ..., NIH | Natural killer cell engin...NIH| Defining the impact of drug use on immune function and fitness against HIV-1 ,NIH| MEDICAL SCIENTIST TRAINING PROGRAM ,NIH| Natural killer cell engineering to target the HIV reservoirAuthors: Aaron J. Wilk; Alex K. Shalek; Susan Holmes; Catherine A. Blish;Aaron J. Wilk; Alex K. Shalek; Susan Holmes; Catherine A. Blish;pmc: PMC10638471 , PMC8845414
ABSTRACTInference of cell-cell communication (CCC) from single-cell RNA-sequencing data is a powerful technique to uncover putative axes of multicellular coordination, yet existing methods perform this analysis at the level of the cell type or cluster, discarding single-cell level information. Here we present Scriabin – a flexible and scalable framework for comparative analysis of CCC at single-cell resolution. We leverage multiple published datasets to show that Scriabin recovers expected CCC edges and use spatial transcriptomic data, genetic perturbation screens, and direct experimental manipulation of receptor-ligand interactions to validate that the recovered edges are biologically meaningful. We then apply Scriabin to uncover co-expressed programs of CCC from atlas-scale datasets, validating known communication pathways required for maintaining the intestinal stem cell niche and revealing species-specific communication pathways. Finally, we utilize single-cell communication networks calculated using Scriabin to follow communication pathways that operate between timepoints in longitudinal datasets, highlighting bystander cells as important initiators of inflammatory reactions in acute SARS-CoV-2 infection. Our approach represents a broadly applicable strategy to leverage single-cell resolution data maximally toward uncovering CCC circuitry and rich niche-phenotype relationships in health and disease.
https://www.biorxiv.... arrow_drop_down Nature BiotechnologyArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd 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 18 citations 18 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert https://www.biorxiv.... arrow_drop_down Nature BiotechnologyArticle . 2023 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd 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 Preprint , Article , Other literature type 2022Publisher:Cold Spring Harbor Laboratory Funded by:NIH | Clinical and Translationa..., NIH | Microbiome-based diagnosi..., NIH | Immunosuppression in Acut... +1 projectsNIH| Clinical and Translational Science Award ,NIH| Microbiome-based diagnosis of pneumonia in the acute respiratory distress syndrome ,NIH| Immunosuppression in Acute Lung Injury ,NIH| ACTIV Integration of Host-targeting Therapies for COVID-19 Administrative Coordinating CenterJana L. Jacobs; Asma Naqvi; Faraaz A. Shah; Valerie F. Boltz; Mary F. Kearney; Bryan J. McVerry; Prabir Ray; Caitlin Schaefer; Meghan Fitzpatrick; Barbara Methé; Janet Lee; Alison Morris; John W. Mellors; Georgios D. Kitsios; William Bain;pmc: PMC8764731 , PMC10205612
Abstract Plasma SARS-CoV-2 viral RNA (vRNA) levels are predictive of COVID-19 outcomes in hospitalized patients, but whether plasma vRNA reflects lower respiratory tract (LRT) vRNA levels is unclear. We compared plasma and LRT vRNA levels in serially collected samples from mechanically ventilated patients with COVID-19. LRT and plasma vRNA levels were strongly correlated at first sampling (n = 33, r = 0.83, P < 10−9) and then declined in parallel in available serial samples except in nonsurvivors who exhibited delayed vRNA clearance in LRT samples. Plasma vRNA measurement may offer a practical surrogate of LRT vRNA burden in critically ill patients, especially early after ICU admission.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8764731Data sources: PubMed Centraladd 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 bronze 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8764731Data sources: PubMed Centraladd 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 Preprint , Article 2022Publisher:Cold Spring Harbor Laboratory Israel, Ariel; Schäffer, Alejandro A.; Merzon, Eugene; Green, Ilan; Magen, Eli; Golan-Cohen, Avivit; Vinker, Shlomo; Ruppin, Eytan;AbstractBackgroundVaccines are highly effective in preventing severe disease and death from COVID-19, and new medications that can reduce severity of disease have been approved. However, many countries are facing limited supply of vaccine doses and medications. A model estimating the probabilities for hospitalization and mortality according to individual risk factors and vaccine doses received could help prioritize vaccination and yet scarce medications to maximize lives saved and reduce the burden on hospitalization facilities.MethodsElectronic health records from 101,039 individuals infected with SARS-CoV-2, since the beginning of the pandemic and until November 30, 2021 were extracted from a national healthcare organization in Israel. Logistic regression models were built to estimate the risk for subsequent hospitalization and death based on the number of BNT162b2 mRNA vaccine doses received and few major risk factors (age, sex, body mass index, hemoglobin A1C, kidney function, and presence of hypertension, pulmonary disease and malignancy).ResultsThe models built predict the outcome of newly infected individuals with remarkable accuracy: area under the curve was 0.889 for predicting hospitalization, and 0.967 for predicting mortality. Even when a breakthrough infection occurs, having received three vaccination doses significantly reduces the risk of hospitalization by 66% (OR=0.339) and of death by 78% (OR=0.223).ConclusionsThe models enable rapid identification of individuals at high risk for hospitalization and death when infected. These patients can be prioritized to receive booster vaccination and the yet scarce medications. A calculator based on these models is made publicly available on http://covidest.web.app
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8750716Data sources: PubMed Centraladd 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=10.1101/2021.12.31.21268575&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8750716Data sources: PubMed Centraladd 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=10.1101/2021.12.31.21268575&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Article 2021Publisher:Research Square Platform LLC Authors: Alzamani M, Idrose; Fikri M, Abu-Zidan; Nurul Liana, Roslan; Khairul Izwan M, Hashim; +2 AuthorsAlzamani M, Idrose; Fikri M, Abu-Zidan; Nurul Liana, Roslan; Khairul Izwan M, Hashim; Saiyidi Mohd Azizi, Mohd Adibi; Mahathar, Abd Wahab;Abstract Background Two city trains collided in an underground tunnel on 24 May 2021 at the height of COVID-19 pandemic near the Petronas Towers, Kuala Lumpur, Malaysia, immediately after the evening rush hours. We aim to evaluate the management of this mass casualty incident highlighting the lessons learned to be used in preparedness for similar incidents that may occur in other major cities worldwide. Methods Information regarding incident site and hospital management response were analysed. Data on demography, triaging, injuries and hospital management of patients were collected according to a designed protocol. Challenges, difficulties and their solutions were reported. Results The train's emergency response team (ERT) has shut down train movements towards the incident site. Red zone (in the tunnel), yellow zone (the station platform) and green zone (outside the station entrance) were established. The fire and rescue team arrived and assisted the ERT in the red zone. Incident command system was established at the site. Medical base station was established at the yellow zone. Two hundred and fourteen passengers were in the trains. Sixty-four of them were injured. They had a median (range) ISS of 2 (1–43), and all were sent to Hospital Kuala Lumpur (HKL). Six (9.4%) patients were clinically triaged as red (critical), 19 (29.7%) as yellow (semi-critical) and 39 (60.9%) as green (non-critical). HKL's disaster plan was activated. All patients underwent temperature and epidemiology link assessment. Seven (10.9%) patients were admitted to the hospital (3 to the ICU, 3 to the ward and 1 to a private hospital as requested by the patient), while the rest 56 (87.5%) were discharged home. Six (9.4%) needed surgery. The COVID-19 tests were conducted on seven patients (10.9%) and were negative. There were no deaths. Conclusions The mass casualty incident was handled properly because of a clear standard operating procedure, smooth coordination between multi-agencies and the hospitals, presence of a 'binary' system for 'COVID-risk' and 'non-COVID-risk' areas, and the modifications of the existing disaster plan. Preparedness for MCIs is essential during pandemics.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8748182Data sources: PubMed CentralWorld Journal of Emergency SurgeryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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=10.21203/rs.3.rs-1115218/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2022Full-Text: http://europepmc.org/articles/PMC8748182Data sources: PubMed CentralWorld Journal of Emergency SurgeryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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=10.21203/rs.3.rs-1115218/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021Publisher:Springer Science and Business Media LLC Demetris Avraam; Nick Obradovich; Niccolo Pescetelli; Manuel Cebrian; Alex Rutherford;pmid: 34819577
pmc: PMC8613398
AbstractPolicymakers commonly employ non-pharmaceutical interventions to reduce the scale and severity of pandemics. Of non-pharmaceutical interventions, physical distancing policies—designed to reduce person-to-person pathogenic spread – have risen to recent prominence. In particular, stay-at-home policies of the sort widely implemented around the globe in response to the COVID-19 pandemic have proven to be markedly effective at slowing pandemic growth. However, such blunt policy instruments, while effective, produce numerous unintended consequences, including potentially dramatic reductions in economic productivity. In this study, we develop methods to investigate the potential to simultaneously contain pandemic spread while also minimizing economic disruptions. We do so by incorporating both occupational and contact network information contained within an urban environment, information that is commonly excluded from typical pandemic control policy design. The results of our methods suggest that large gains in both economic productivity and pandemic control might be had by the incorporation and consideration of simple-to-measure characteristics of the occupational contact network. We find evidence that more sophisticated, and more privacy invasive, measures of this network do not drastically increase performance.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8613398Data sources: PubMed CentralarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archiveadd 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=10.1038/s41598-021-02226-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8613398Data sources: PubMed CentralarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archiveadd 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=10.1038/s41598-021-02226-x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2021Publisher:Research Square Platform LLC Funded by:NIH | Multidisciplinary Researc...NIH| Multidisciplinary Research Training to Understand and Reduce HIV Incidence in UgandaCharles Ssuuna; Ronald Moses Galiwango; Edward Nelson Kankaka; Joseph Kagaayi; Anthony Ndyanabo; Godfrey Kigozi; Gertrude Nakigozi; Tom Lutalo; Robert Ssekubugu; John Bosco Wasswa; Anthony Mayinja; Martina Cathy Nakibuuka; Samiri Jamiru; John Baptist Oketch; Edward Muwanga; Larry William Chang; Mary Kate Grabowski; Maria Wawer; Ronald Gray; Mark Anderson; Michael Stec; Gavin Cloherty; Oliver Laeyendecker; Steven James Reynolds; Thomas C. Quinn; David Serwadda;pmc: PMC8547523 , PMC8860367
Abstract Background Globally, key subpopulations such as healthcare workers (HCW) may have a higher risk of contracting SARS-CoV-2. In Uganda, limited access to Personal Protective Equipment and lack of clarity on the extent/pattern of community spread may exacerbate this situation. The country established infection prevention/control measures such as lockdowns and proper hand hygiene. However, due to resource limitations and fatigue, compliance is low, posing continued onward transmission risk. This study aimed to describe extent of SARS-CoV-2 seroprevalence in selected populations within the Rakai region of Uganda. Methods From 30th November 2020 to 8th January 2021, we collected venous blood from 753 HCW at twenty-six health facilities in South-Central Uganda and from 227 population-cohort participants who reported specific COVID-19 like symptoms (fever, cough, loss of taste and appetite) in a prior phone-based survey conducted (between May and August 2020) during the first national lockdown. 636 plasma specimens collected from individuals considered high risk for SARS-CoV-2 infection, prior to the first confirmed COVID-19 case in Uganda were also retrieved. Specimens were tested for antibodies to SARS-CoV-2 using the CoronaChek™ rapid COVID-19 IgM/IgG lateral flow test assay. IgM only positive samples were confirmed using a chemiluminescent microparticle immunoassay (CMIA) (Architect AdviseDx SARS-CoV-2 IgM) which targets the spike protein. SARS-CoV-2 exposure was defined as either confirmed IgM, both IgM and IgG or sole IgG positivity. Overall seroprevalence in each participant group was estimated, adjusting for test performance. Results The seroprevalence of antibodies to SARS-CoV-2 in HCW was 26.7% [95%CI: 23.5, 29.8] with no difference by sex, age, or cadre. We observed no association between PPE use and seropositivity among exposed healthcare workers. Of the phone-based survey participants, 15.6% [95%CI: 10.9, 20.3] had antibodies to SARS-CoV-2, with no difference by HIV status, sex, age, or occupation. Among 636 plasma specimens collected prior to the first confirmed COVID-19 case, 2.3% [95%CI: 1.2, 3.5] were reactive. Conclusions Findings suggest high seroprevalence of antibodies to SARS-CoV-2 among HCW and substantial exposure in persons presenting with specific COVID-19 like symptoms in the general population of South-Central Uganda. Based on current limitations in serological test confirmation, it remains unclear whether seroprevalence among plasma specimens collected prior to confirmation of the first COVID-19 case implies prior SARS-CoV-2 exposure in Uganda.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8547523Data sources: PubMed Centraladd 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=10.21203/rs.3.rs-960585/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8547523Data sources: PubMed Centraladd 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=10.21203/rs.3.rs-960585/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Article 2021 Belgium, Italy, DenmarkPublisher:Cold Spring Harbor Laboratory Funded by:NIH | ITEST: Innovative Tools t..., NIH | Mentoring Multidisciplina...NIH| ITEST: Innovative Tools to Expand Youth-Friendly HIV Self-Testing ,NIH| Mentoring Multidisciplinary Global HIV Patient-Oriented ResearchAuthors: Erausquin, Jennifer Toller; Tan, Rayner K J; Uhlich, Maximiliane; Francis, Joel M; +63 AuthorsErausquin, Jennifer Toller; Tan, Rayner K J; Uhlich, Maximiliane; Francis, Joel M; Kumar, Navin; Campbell, Linda; Zhang, Wei-Hong; Hlatshwako, Takhona G; Kosana, Priya; Shah, Sonam; Brenner, Erica M; Remmerie, Lore; Mussa, Aamirah; Klapilova, Katerina; Mark, Kristen; Perotta, Gabriela; Gabster, Amanda; Wouters, Edwin; Burns, Sharyn; Hendriks, Jacqueline; Hensel, Devon J; Shamu, Simukai; Strizzi, Jenna Marie; Esho, Tammary; Morroni, Chelsea; Eleuteri, Stefano; Sahril, Norhafiza; Low, Wah Yun; Plasilova, Leona; Lazdane, Gunta; Marks, Michael; Olumide, Adesola; Abdelhamed, Amr; López Gómez, Alejandra; Michielsen, Kristien; Moreau, Caroline; Tucker; Joseph D; Juan Carlos Rivillas; Ismael Maatouk; Noor A. Ahmad; Nathalie Bajos; Peer Briken; Elizabeth Kemigisha; Filippo Maria Nimbi; Emmanuel Adebayo; Pedro Nobre; Samuel Kimani; Felipe Hurtado-Murillo; Peter Gichangi; Wanzahun Godana; Viola Nilah Nyakato; Caitlin Alsandria O’Hara; Lucia Knight; Osama Shaeer; Sally Griffin; Gert M. Hald; Eusebio Rubio-Aurioles; Inês Tavares; Kun Tang; Weiming Tang; Fengshi Jing; Dace Rezerberga; Rocio Murad Rivera; Kamila Janmohamed; Soraya Calvo González; Corina Iliadi-Tulbure;pmc: PMC8547535 , PMC9383436
handle: 11573/1664083 , 10067/1880580151162165141
Abstract Background To better understand sexual and reproductive health (SRH) during the initial COVID-19 wave, we organized a multi-country cross-sectional survey. Methods Consortium research teams conducted online surveys in 30 countries. Primary outcomes included sexual behaviors, partner violence, and SRH service utilization, and we compared three months prior to and three months after policy measures to mitigate COVID-19. We used established indicators and analyses pre-specified in our protocol. We conducted meta-analyses for primary outcomes and graded the certainty of the evidence using Cochrane methods. Findings Descriptive analyses included 22,724 individuals in 25 countries. Five additional countries with sample sizes Interpretation The initial COVID-19 wave impacted SRH behaviors and access to services across diverse global settings. Funding United States National Institutes of Health, Latvia National Research Programme to Lessen the Effects of COVID-19 Research in context Evidence before this study In 2020, the COVID-19 pandemic forced billions of people to shelter in place, altering social and sexual relationships worldwide. In many settings, COVID-19 undercut already precarious health infrastructure and health service provision. However, there is limited evidence to date about changes to sexual and reproductive health (SRH) during the initial wave of SARS-CoV-2 infections (COVID-19 disease). Most studies have focused on high-income countries, rather than examining broader regional and global trends. To address this gap, our team organized a multi-country, cross-sectional online survey as part of a global consortium. Consortium research teams in 30 low, middle, and high-income countries collaboratively developed the survey instrument using existing measures and items adapted for COVID-19. Topics included sociodemographic characteristics; compliance with COVID-19 mitigation measures; couple and family relationships; sexual behavior; contraceptive use and barriers to access; access to reproductive healthcare; abortion; sexual violence and intimate partner violence (IPV); HIV/STI testing and treatment; and optional sections including female genital cutting and early marriage; mental health; and food insecurity. This multi-country, cross-sectional study aimed to better understand SRH prior to and during the first wave of the COVID-19 pandemic in participating countries. Added value of this study This study was conducted in thirty diverse settings during a pandemic. In addition to providing needed evidence about SRH during COVID-19 across low-, middle-, and high-income countries, the study demonstrates the feasibility and utility of a new framework for global health collaboration. Using an inclusive open science approach, we were able to harmonize key sexual health variables across countries. Our use of online data collection and large reliance on convenience sampling provides both challenges and opportunities. Implications of all the available evidence This multi-country study provides detailed sexual and behavioral data across diverse global settings. Our findings suggest that COVID-19 measures during the initial wave of the COVID-19 pandemic impacted sexual and reproductive health behaviors and access to services worldwide. In particular, our findings show a sizable proportion of people needing SRH services including HIV/STI testing and abortion reported that their access to these services was limited due to COVID-19 measures. These results suggest the need for expanded use of decentralized SRH interventions that can be implemented in emergency settings, such as self-testing, self-collection, and telemedicine.
Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8547535Data sources: PubMed CentralCORE (RIOXX-UK Aggregator)Article . 2022License: CC BY NC NDData sources: CORE (RIOXX-UK Aggregator)Clinical Infectious DiseasesArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: CrossrefInstitutional Repository Universiteit AntwerpenArticle . 2022Data sources: Institutional Repository Universiteit AntwerpenCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemArchivio della ricerca- Università di Roma La SapienzaArticle . Preprint . 2021add 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=10.1101/2021.09.18.21263630&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert Europe PubMed Centra... arrow_drop_down Europe PubMed CentralArticle . 2021Full-Text: http://europepmc.org/articles/PMC8547535Data sources: PubMed CentralCORE (RIOXX-UK Aggregator)Article . 2022License: CC BY NC NDData sources: CORE (RIOXX-UK Aggregator)Clinical Infectious DiseasesArticle . 2022 . Peer-reviewedLicense: OUP Standard Publication ReuseData sources: CrossrefInstitutional Repository Universiteit AntwerpenArticle . 2022Data sources: Institutional Repository Universiteit AntwerpenCopenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemArchivio della ricerca- Università di Roma La SapienzaArticle . Preprint . 2021add 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=10.1101/2021.09.18.21263630&type=result"></script>'); --> </script>
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