Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
130 Research products, page 1 of 13

  • COVID-19
  • 2021-2021
  • European Commission
  • FR
  • English
  • Hal-Diderot
  • Hyper Article en Ligne
  • HAL-Pasteur
  • COVID-19

10
arrow_drop_down
Date (most recent)
arrow_drop_down
  • Publication . Conference object . Preprint . Article . 2021
    Open Access English
    Authors: 
    Muhammad Umar B Niazi; Alain Kibangou; Carlos Canudas de Wit; Denis Nikitin; Liudmila Tumash; Pierre-Alexandre Bliman;
    Publisher: HAL CCSD
    Country: France
    Project: EC | Scale-FreeBack (694209)

    Testing is a crucial control mechanism for an epidemic outbreak because it enables the health authority to detect and isolate the infected cases, thereby limiting the disease transmission to susceptible people, when no effective treatment or vaccine is available. In this paper, an epidemic model that incorporates the testing rate as a control input is presented. The proposed model distinguishes between the undetected infected and the detected infected cases with the latter assumed to be isolated from the disease spreading process in the population. Two testing policies, effective during the onset of an epidemic when no treatment or vaccine is available, are devised: (i) best-effort strategy for testing (BEST) and (ii) constant optimal strategy for testing (COST). The BEST is a suppression policy that provides a lower bound on the testing rate to stop the growth of the epidemic. The COST is a mitigation policy that minimizes the peak of the epidemic by providing a constant, optimal allocation of tests in a certain time interval when the total stockpile of tests is limited. Both testing policies are evaluated by their impact on the number of active intensive care unit (ICU) cases and the cumulative number of deaths due to COVID-19 in France. arXiv admin note: substantial text overlap with arXiv:2010.15438

  • Open Access English
    Authors: 
    Laura Di Domenico; Giulia Pullano; Chiara E. Sabbatini; Pierre-Yves Boëlle; Vittoria Colizza;
    Country: France
    Project: EC | MOOD (874850), ANR | SPHINx (ANR-17-CE36-0008), ANR | DataRedux (ANR-19-CE46-0008)

    As countries in Europe implement strategies to control the COVID-19 pandemic, different options are chosen regarding schools. Through a stochastic age-structured transmission model calibrated to the observed epidemic in Île-de-France in the first wave, we explored scenarios of partial, progressive, or full school reopening. Given the uncertainty on children’s role, we found that reopening schools after lockdown may increase COVID-19 cases, yet protocols exist to keep the epidemic controlled. Under a scenario with stable epidemic activity if schools were closed, reopening pre-schools and primary schools would lead to up to 76% [67, 84]% occupation of ICU beds if no other school level reopened, or if middle and high schools reopened later. Immediately reopening all school levels may overwhelm the ICU system. Priority should be given to pre- and primary schools allowing younger children to resume learning and development, whereas full attendance in middle and high schools is not recommended for stable or increasing epidemic activity. Large-scale test and trace is required to keep the epidemic under control. Ex-post assessment shows that progressive reopening of schools, limited attendance, and strong adoption of preventive measures contributed to a decreasing epidemic after lifting the first lockdown. The role of children in the spread of COVID-19 is not fully understood, and the circumstances under which schools should be opened are therefore debated. Here, the authors demonstrate protocols by which schools in France can be safely opened without overwhelming the healthcare system.

  • Open Access English
    Authors: 
    Romain Marlin; Véronique Godot; Sylvain Cardinaud; Mathilde Galhaut; Severin Coleon; Sandra Zurawski; Nathalie Dereuddre-Bosquet; Mariangela Cavarelli; Anne-Sophie Gallouet; Pauline Maisonnasse; +28 more
    Publisher: HAL CCSD
    Country: France
    Project: ANR | DC-CoVaC (ANR-20-COV6-0004), EC | EVAg (653316), EC | TRANSVAC2 (730964), ANR | IDMIT (ANR-11-INBS-0008)

    Achieving sufficient worldwide vaccination coverage against SARS-CoV-2 will require additional approaches to currently approved viral vector and mRNA vaccines. Subunit vaccines may have distinct advantages when immunizing vulnerable individuals, children and pregnant women. Here, we present a new generation of subunit vaccines targeting viral antigens to CD40-expressing antigen-presenting cells. We demonstrate that targeting the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein to CD40 (αCD40.RBD) induces significant levels of specific T and B cells, with long-term memory phenotypes, in a humanized mouse model. Additionally, we demonstrate that a single dose of the αCD40.RBD vaccine, injected without adjuvant, is sufficient to boost a rapid increase in neutralizing antibodies in convalescent non-human primates (NHPs) exposed six months previously to SARS-CoV-2. Vaccine-elicited antibodies cross-neutralize different SARS-CoV-2 variants, including D614G, B1.1.7 and to a lesser extent B1.351. Such vaccination significantly improves protection against a new high-dose virulent challenge versus that in non-vaccinated convalescent animals. In this study, Marlin et al. provide insights into the potential use of subunit vaccines that induce a high level of protection against SARS-CoV-2 in animal models.

  • Open Access English
    Authors: 
    Nolwenn Jouvenet; Caroline Goujon; Arinjay Banerjee;
    Publisher: HAL CCSD
    Country: France
    Project: EC | ANTIViR (759226)

    International audience; Interferons are our first line of defense against invading viruses. However, viruses encode effector proteins that can modulate human interferon responses. In this forum article, we highlight important discoveries and discuss outstanding questions that will enable us to better understand the nuances of this evolutionary battle between interferons and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

  • Open Access English
    Authors: 
    Benjamin Gaborit; Bernard Vanhove; Marie-Anne Vibet; Aurélie Le Thuaut; Karine Lacombe; Vincent Dubee; Florence Ader; Virginie Ferre; Eric Vicaut; Jéremie Orain; +14 more
    Publisher: HAL CCSD
    Country: France
    Project: EC | BRIGHT (962036)

    Abstract Background Early inhibition of entry and replication of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a very promising therapeutic approach. Polyclonal neutralizing antibodies offers many advantages such as providing immediate immunity, consequently blunting an early pro-inflammatory pathogenic endogenous antibody response and lack of drug-drug interactions. By providing immediate immunity and inhibiting entry into cells, neutralizing antibody treatment is of interest for patient with COVID-19-induced moderate pneumonia. Convalescent plasma to treat infected patients is therefore a relevant therapeutic option currently under assessment (CORIMUNO-PLASM NCT04324047). However, the difficulties of collecting plasma on the long term are not adapted to a broad use across all populations. New polyclonal humanized anti-SARS-CoV2 antibodies (XAV-19) developed by Xenothera and administered intravenous. XAV-19 is a heterologous swine glyco-humanized polyclonal antibody (GH-pAb) raised against the spike protein of SARS-CoV-2, blocking infection of ACE-2-positive human cells with SARS-CoV-2. Methods Pharmacokinetic and pharmacodynamic studies have been performed in preclinical models including primates. A first human study with another fully representative GH-pAb from Xenothera is ongoing in recipients of a kidney graft. These studies indicated that 5 consecutive administrations of GH-pAbs can be safely performed in humans. The objectives of this 2-step phase 2 randomized double-blinded, placebo-controlled study are to define the safety and the optimal XAV-19 dose to administrate to patients with SARS-CoV-2 induced moderate pneumonia, and to assess the clinical benefits of a selected dose of XAV-19 in this population. Discussion This study will determine the clinical benefits of XAV-19 when administered to patients with SARS-CoV-2-induced moderate pneumonia. As a prerequisite, a first step of the study will define the safety and the dose of XAV-19 to be used. Such treatment might become a new therapeutic option to provide an effective treatment for COVID-19 patients (possibly in combination with anti-viral and immunotherapies). Further studies could later evaluate such passive immunotherapy as a potential post-exposure prophylaxis. Trial registration ClinicalTrials.gov NCT04453384, registered on 1 July 2020, and EUDRACT 2020-002574-27, registered 6 June 2020.

  • Open Access English
    Authors: 
    Laura Di Domenico; Chiara E. Sabbatini; Pierre-Yves Boëlle; Chiara Poletto; Pascal Crépey; Juliette Paireau; Simon Cauchemez; François Beck; Harold Noel; Daniel Lévy-Bruhl; +1 more
    Publisher: HAL CCSD
    Country: France
    Project: EC | RECoVER (101003589), ANR | EVALCOVID-19 (ANR-20-COVI-0007), EC | MOOD (874850)

    Abstract Background After one year of stop-and-go COVID-19 mitigation, in the spring of 2021 European countries still experienced sustained viral circulation due to the Alpha variant. As the prospect of entering a new pandemic phase through vaccination was drawing closer, a key challenge remained on how to balance the efficacy of long-lasting interventions and their impact on the quality of life. Methods Focusing on the third wave in France during spring 2021, we simulate intervention scenarios of varying intensity and duration, with potential waning of adherence over time, based on past mobility data and modeling estimates. We identify optimal strategies by balancing efficacy of interventions with a data-driven “distress” index, integrating intensity and duration of social distancing. Results We show that moderate interventions would require a much longer time to achieve the same result as high intensity lockdowns, with the additional risk of deteriorating control as adherence wanes. Shorter strict lockdowns are largely more effective than longer moderate lockdowns, for similar intermediate distress and infringement on individual freedom. Conclusions Our study shows that favoring milder interventions over more stringent short approaches on the basis of perceived acceptability could be detrimental in the long term, especially with waning adherence.

  • Open Access English
    Authors: 
    Andronico, Alessio; Tran Kiem, Cécile; Paireau, Juliette; Succo, Tiphanie; Bosetti, Paolo; Lefrancq, Noémie; Nacher, Mathieu; Djossou, Félix; Sanna, Alice; Flamand, Claude; +3 more
    Publisher: HAL CCSD
    Countries: United Kingdom, France
    Project: ANR | INCEPTION (ANR-16-CONV-0005), EC | RECoVER (101003589)

    While general lockdowns have proven effective to control SARS-CoV-2 epidemics, they come with enormous costs for society. It is therefore essential to identify control strategies with lower social and economic impact. Here, we report and evaluate the control strategy implemented during a large SARS-CoV-2 epidemic in June–July 2020 in French Guiana that relied on curfews, targeted lockdowns, and other measures. We find that the combination of these interventions coincided with a reduction in the basic reproduction number of SARS-CoV-2 from 1.7 to 1.1, which was sufficient to avoid hospital saturation. We estimate that thanks to the young demographics, the risk of hospitalisation following infection was 0.3 times that of metropolitan France and that about 20% of the population was infected by July. Our model projections are consistent with a recent seroprevalence study. The study showcases how mathematical modelling can be used to support healthcare planning in a context of high uncertainty. Identifying effective combinations of control measures in different populations is important for SARS-CoV-2 control. Here, the authors show that in French Guiana, which has a relatively young population, curfews and localised lockdowns appeared to contribute to reducing transmission.

  • Publication . Article . Preprint . Other literature type . 2021
    Open Access English
    Authors: 
    Evangelos Kontos; Aria Samimi; Renate W. Hakze-van der Honing; J. Priem; Aurore Avarguès-Weber; Alexander Haverkamp; Marcel Dicke; Jose L. Gonzales; Wim H.M. van der Poel;
    Countries: France, France, Netherlands
    Project: EC | One Health EJP (773830)

    AbstractThe COVID-19 pandemic has illustrated the need for the development of fast and reliable testing methods for novel, zoonotic, viral diseases in both humans and animals. Pathologies lead to detectable changes in the Volatile Organic Compound (VOC) profile of animals, which can be monitored, thus allowing the development of a rapid VOC-based test. In the current study, we successfully trained honeybees (Apis mellifera) to identify SARS-CoV-2 infected minks (Neovison vison) thanks to Pavlovian conditioning protocols. The bees can be quickly conditioned to respond specifically to infected mink’s odours and could therefore be part of a wider SARS-CoV-2 diagnostic system. We tested two different training protocols to evaluate their performance in terms of learning rate, accuracy and memory retention. We designed a non-invasive rapid test in which multiple bees are tested in parallel on the same samples. This provided reliable results regarding a subject’s health status. Using the data from the training experiments, we simulated a diagnostic evaluation trial to predict the potential efficacy of our diagnostic test, which yielded a diagnostic sensitivity of 92% and specificity of 86%. We suggest that a honeybee-based diagnostics can offer a reliable and rapid test that provides a readily available, low-input addition to the currently available testing methods. A honeybee-based diagnostic test might be particularly relevant for remote and developing communities that lack the resources and infrastructure required for mainstream testing methods.

  • Open Access English
    Authors: 
    Pelleau, Stéphane; Woudenberg, Tom; Rosado, Jason; Donnadieu, Françoise; Garcia, Laura; Obadia, Thomas; Gardais, Soazic; Elgharbawy, Yasmine; Velay, Aurelie; Gonzalez, Maria; +33 more
    Publisher: HAL CCSD
    Country: France
    Project: EC | MultiSeroSurv (852373)

    Abstract Background Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a complex antibody response that varies by orders of magnitude between individuals and over time. Methods We developed a multiplex serological test for measuring antibodies to 5 SARS-CoV-2 antigens and the spike proteins of seasonal coronaviruses. We measured antibody responses in cohorts of hospitalized patients and healthcare workers followed for up to 11 months after symptoms. A mathematical model of antibody kinetics was used to quantify the duration of antibody responses. Antibody response data were used to train algorithms for estimating time since infection. Results One year after symptoms, we estimate that 36% (95% range, 11%–94%) of anti-Spike immunoglobulin G (IgG) remains, 31% (95% range, 9%–89%) anti-RBD IgG remains, and 7% (1%–31%) of anti-nucleocapsid IgG remains. The multiplex assay classified previous infections into time intervals of 0–3 months, 3–6 months, and 6–12 months. This method was validated using data from a seroprevalence survey in France, demonstrating that historical SARS-CoV-2 transmission can be reconstructed using samples from a single survey. Conclusions In addition to diagnosing previous SARS-CoV-2 infection, multiplex serological assays can estimate the time since infection, which can be used to reconstruct past epidemics. Longitudinal follow-up of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reveals differences in the duration of antibodies to multiple antigens. Mathematical models of antibody waning and statistical algorithms can estimate an individual’s time since SARS-CoV-2 infection, and previous transmission waves in a population.

  • Open Access English
    Authors: 
    Writing Committee For The REMAP-CAP Investigators; Estcourt, Lise J; Turgeon, Alexis F; McQuilten, Zoe K; McVerry, Bryan J; Al-Beidh, Farah; Annane, Djillali; Arabi, Yaseen M; Arnold, Donald M; Beane, Abigail; +83 more
    Countries: United Kingdom, France, Belgium, France, United Kingdom, Netherlands, United Kingdom, United Kingdom, United Kingdom, United Kingdom ...
    Project: EC | PREPARE (602525)

    Importance The evidence for benefit of convalescent plasma for critically ill patients with COVID-19 is inconclusive.Objective To determine whether convalescent plasma would improve outcomes for critically ill adults with COVID-19.Design, Setting, and Participants The ongoing Randomized, Embedded, Multifactorial, Adaptive Platform Trial for Community-Acquired Pneumonia (REMAP-CAP) enrolled and randomized 4763 adults with suspected or confirmed COVID-19 between March 9, 2020, and January 18, 2021, within at least 1 domain; 2011 critically ill adults were randomized to open-label interventions in the immunoglobulin domain at 129 sites in 4 countries. Follow-up ended on April 19, 2021.Interventions The immunoglobulin domain randomized participants to receive 2 units of high-titer, ABO-compatible convalescent plasma (total volume of 550 mL ± 150 mL) within 48 hours of randomization (n = 1084) or no convalescent plasma (n = 916).Main Outcomes and Measures The primary ordinal end point was organ support–free days (days alive and free of intensive care unit–based organ support) up to day 21 (range, −1 to 21 days; patients who died were assigned –1 day). The primary analysis was an adjusted bayesian cumulative logistic model. Superiority was defined as the posterior probability of an odds ratio (OR) greater than 1 (threshold for trial conclusion of superiority >99%). Futility was defined as the posterior probability of an OR less than 1.2 (threshold for trial conclusion of futility >95%). An OR greater than 1 represented improved survival, more organ support–free days, or both. The prespecified secondary outcomes included in-hospital survival; 28-day survival; 90-day survival; respiratory support–free days; cardiovascular support–free days; progression to invasive mechanical ventilation, extracorporeal mechanical oxygenation, or death; intensive care unit length of stay; hospital length of stay; World Health Organization ordinal scale score at day 14; venous thromboembolic events at 90 days; and serious adverse events.Results Among the 2011 participants who were randomized (median age, 61 [IQR, 52 to 70] years and 645/1998 [32.3%] women), 1990 (99%) completed the trial. The convalescent plasma intervention was stopped after the prespecified criterion for futility was met. The median number of organ support–free days was 0 (IQR, –1 to 16) in the convalescent plasma group and 3 (IQR, –1 to 16) in the no convalescent plasma group. The in-hospital mortality rate was 37.3% (401/1075) for the convalescent plasma group and 38.4% (347/904) for the no convalescent plasma group and the median number of days alive and free of organ support was 14 (IQR, 3 to 18) and 14 (IQR, 7 to 18), respectively. The median-adjusted OR was 0.97 (95% credible interval, 0.83 to 1.15) and the posterior probability of futility (OR <1.2) was 99.4% for the convalescent plasma group compared with the no convalescent plasma group. The treatment effects were consistent across the primary outcome and the 11 secondary outcomes. Serious adverse events were reported in 3.0% (32/1075) of participants in the convalescent plasma group and in 1.3% (12/905) of participants in the no convalescent plasma group.Conclusions and Relevance Among critically ill adults with confirmed COVID-19, treatment with 2 units of high-titer, ABO-compatible convalescent plasma had a low likelihood of providing improvement in the number of organ support–free days.Trial Registration ClinicalTrials.gov Identifier: NCT02735707 

Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
130 Research products, page 1 of 13
  • Publication . Conference object . Preprint . Article . 2021
    Open Access English
    Authors: 
    Muhammad Umar B Niazi; Alain Kibangou; Carlos Canudas de Wit; Denis Nikitin; Liudmila Tumash; Pierre-Alexandre Bliman;
    Publisher: HAL CCSD
    Country: France
    Project: EC | Scale-FreeBack (694209)

    Testing is a crucial control mechanism for an epidemic outbreak because it enables the health authority to detect and isolate the infected cases, thereby limiting the disease transmission to susceptible people, when no effective treatment or vaccine is available. In this paper, an epidemic model that incorporates the testing rate as a control input is presented. The proposed model distinguishes between the undetected infected and the detected infected cases with the latter assumed to be isolated from the disease spreading process in the population. Two testing policies, effective during the onset of an epidemic when no treatment or vaccine is available, are devised: (i) best-effort strategy for testing (BEST) and (ii) constant optimal strategy for testing (COST). The BEST is a suppression policy that provides a lower bound on the testing rate to stop the growth of the epidemic. The COST is a mitigation policy that minimizes the peak of the epidemic by providing a constant, optimal allocation of tests in a certain time interval when the total stockpile of tests is limited. Both testing policies are evaluated by their impact on the number of active intensive care unit (ICU) cases and the cumulative number of deaths due to COVID-19 in France. arXiv admin note: substantial text overlap with arXiv:2010.15438

  • Open Access English
    Authors: 
    Laura Di Domenico; Giulia Pullano; Chiara E. Sabbatini; Pierre-Yves Boëlle; Vittoria Colizza;
    Country: France
    Project: EC | MOOD (874850), ANR | SPHINx (ANR-17-CE36-0008), ANR | DataRedux (ANR-19-CE46-0008)

    As countries in Europe implement strategies to control the COVID-19 pandemic, different options are chosen regarding schools. Through a stochastic age-structured transmission model calibrated to the observed epidemic in Île-de-France in the first wave, we explored scenarios of partial, progressive, or full school reopening. Given the uncertainty on children’s role, we found that reopening schools after lockdown may increase COVID-19 cases, yet protocols exist to keep the epidemic controlled. Under a scenario with stable epidemic activity if schools were closed, reopening pre-schools and primary schools would lead to up to 76% [67, 84]% occupation of ICU beds if no other school level reopened, or if middle and high schools reopened later. Immediately reopening all school levels may overwhelm the ICU system. Priority should be given to pre- and primary schools allowing younger children to resume learning and development, whereas full attendance in middle and high schools is not recommended for stable or increasing epidemic activity. Large-scale test and trace is required to keep the epidemic under control. Ex-post assessment shows that progressive reopening of schools, limited attendance, and strong adoption of preventive measures contributed to a decreasing epidemic after lifting the first lockdown. The role of children in the spread of COVID-19 is not fully understood, and the circumstances under which schools should be opened are therefore debated. Here, the authors demonstrate protocols by which schools in France can be safely opened without overwhelming the healthcare system.

  • Open Access English
    Authors: 
    Romain Marlin; Véronique Godot; Sylvain Cardinaud; Mathilde Galhaut; Severin Coleon; Sandra Zurawski; Nathalie Dereuddre-Bosquet; Mariangela Cavarelli; Anne-Sophie Gallouet; Pauline Maisonnasse; +28 more
    Publisher: HAL CCSD
    Country: France
    Project: ANR | DC-CoVaC (ANR-20-COV6-0004), EC | EVAg (653316), EC | TRANSVAC2 (730964), ANR | IDMIT (ANR-11-INBS-0008)

    Achieving sufficient worldwide vaccination coverage against SARS-CoV-2 will require additional approaches to currently approved viral vector and mRNA vaccines. Subunit vaccines may have distinct advantages when immunizing vulnerable individuals, children and pregnant women. Here, we present a new generation of subunit vaccines targeting viral antigens to CD40-expressing antigen-presenting cells. We demonstrate that targeting the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein to CD40 (αCD40.RBD) induces significant levels of specific T and B cells, with long-term memory phenotypes, in a humanized mouse model. Additionally, we demonstrate that a single dose of the αCD40.RBD vaccine, injected without adjuvant, is sufficient to boost a rapid increase in neutralizing antibodies in convalescent non-human primates (NHPs) exposed six months previously to SARS-CoV-2. Vaccine-elicited antibodies cross-neutralize different SARS-CoV-2 variants, including D614G, B1.1.7 and to a lesser extent B1.351. Such vaccination significantly improves protection against a new high-dose virulent challenge versus that in non-vaccinated convalescent animals. In this study, Marlin et al. provide insights into the potential use of subunit vaccines that induce a high level of protection against SARS-CoV-2 in animal models.

  • Open Access English
    Authors: 
    Nolwenn Jouvenet; Caroline Goujon; Arinjay Banerjee;
    Publisher: HAL CCSD
    Country: France
    Project: EC | ANTIViR (759226)

    International audience; Interferons are our first line of defense against invading viruses. However, viruses encode effector proteins that can modulate human interferon responses. In this forum article, we highlight important discoveries and discuss outstanding questions that will enable us to better understand the nuances of this evolutionary battle between interferons and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

  • Open Access English
    Authors: 
    Benjamin Gaborit; Bernard Vanhove; Marie-Anne Vibet; Aurélie Le Thuaut; Karine Lacombe; Vincent Dubee; Florence Ader; Virginie Ferre; Eric Vicaut; Jéremie Orain; +14 more
    Publisher: HAL CCSD
    Country: France
    Project: EC | BRIGHT (962036)

    Abstract Background Early inhibition of entry and replication of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a very promising therapeutic approach. Polyclonal neutralizing antibodies offers many advantages such as providing immediate immunity, consequently blunting an early pro-inflammatory pathogenic endogenous antibody response and lack of drug-drug interactions. By providing immediate immunity and inhibiting entry into cells, neutralizing antibody treatment is of interest for patient with COVID-19-induced moderate pneumonia. Convalescent plasma to treat infected patients is therefore a relevant therapeutic option currently under assessment (CORIMUNO-PLASM NCT04324047). However, the difficulties of collecting plasma on the long term are not adapted to a broad use across all populations. New polyclonal humanized anti-SARS-CoV2 antibodies (XAV-19) developed by Xenothera and administered intravenous. XAV-19 is a heterologous swine glyco-humanized polyclonal antibody (GH-pAb) raised against the spike protein of SARS-CoV-2, blocking infection of ACE-2-positive human cells with SARS-CoV-2. Methods Pharmacokinetic and pharmacodynamic studies have been performed in preclinical models including primates. A first human study with another fully representative GH-pAb from Xenothera is ongoing in recipients of a kidney graft. These studies indicated that 5 consecutive administrations of GH-pAbs can be safely performed in humans. The objectives of this 2-step phase 2 randomized double-blinded, placebo-controlled study are to define the safety and the optimal XAV-19 dose to administrate to patients with SARS-CoV-2 induced moderate pneumonia, and to assess the clinical benefits of a selected dose of XAV-19 in this population. Discussion This study will determine the clinical benefits of XAV-19 when administered to patients with SARS-CoV-2-induced moderate pneumonia. As a prerequisite, a first step of the study will define the safety and the dose of XAV-19 to be used. Such treatment might become a new therapeutic option to provide an effective treatment for COVID-19 patients (possibly in combination with anti-viral and immunotherapies). Further studies could later evaluate such passive immunotherapy as a potential post-exposure prophylaxis. Trial registration ClinicalTrials.gov NCT04453384, registered on 1 July 2020, and EUDRACT 2020-002574-27, registered 6 June 2020.

  • Open Access English
    Authors: 
    Laura Di Domenico; Chiara E. Sabbatini; Pierre-Yves Boëlle; Chiara Poletto; Pascal Crépey; Juliette Paireau; Simon Cauchemez; François Beck; Harold Noel; Daniel Lévy-Bruhl; +1 more
    Publisher: HAL CCSD
    Country: France
    Project: EC | RECoVER (101003589), ANR | EVALCOVID-19 (ANR-20-COVI-0007), EC | MOOD (874850)

    Abstract Background After one year of stop-and-go COVID-19 mitigation, in the spring of 2021 European countries still experienced sustained viral circulation due to the Alpha variant. As the prospect of entering a new pandemic phase through vaccination was drawing closer, a key challenge remained on how to balance the efficacy of long-lasting interventions and their impact on the quality of life. Methods Focusing on the third wave in France during spring 2021, we simulate intervention scenarios of varying intensity and duration, with potential waning of adherence over time, based on past mobility data and modeling estimates. We identify optimal strategies by balancing efficacy of interventions with a data-driven “distress” index, integrating intensity and duration of social distancing. Results We show that moderate interventions would require a much longer time to achieve the same result as high intensity lockdowns, with the additional risk of deteriorating control as adherence wanes. Shorter strict lockdowns are largely more effective than longer moderate lockdowns, for similar intermediate distress and infringement on individual freedom. Conclusions Our study shows that favoring milder interventions over more stringent short approaches on the basis of perceived acceptability could be detrimental in the long term, especially with waning adherence.

  • Open Access English
    Authors: 
    Andronico, Alessio; Tran Kiem, Cécile; Paireau, Juliette; Succo, Tiphanie; Bosetti, Paolo; Lefrancq, Noémie; Nacher, Mathieu; Djossou, Félix; Sanna, Alice; Flamand, Claude; +3 more
    Publisher: HAL CCSD
    Countries: United Kingdom, France
    Project: ANR | INCEPTION (ANR-16-CONV-0005), EC | RECoVER (101003589)

    While general lockdowns have proven effective to control SARS-CoV-2 epidemics, they come with enormous costs for society. It is therefore essential to identify control strategies with lower social and economic impact. Here, we report and evaluate the control strategy implemented during a large SARS-CoV-2 epidemic in June–July 2020 in French Guiana that relied on curfews, targeted lockdowns, and other measures. We find that the combination of these interventions coincided with a reduction in the basic reproduction number of SARS-CoV-2 from 1.7 to 1.1, which was sufficient to avoid hospital saturation. We estimate that thanks to the young demographics, the risk of hospitalisation following infection was 0.3 times that of metropolitan France and that about 20% of the population was infected by July. Our model projections are consistent with a recent seroprevalence study. The study showcases how mathematical modelling can be used to support healthcare planning in a context of high uncertainty. Identifying effective combinations of control measures in different populations is important for SARS-CoV-2 control. Here, the authors show that in French Guiana, which has a relatively young population, curfews and localised lockdowns appeared to contribute to reducing transmission.

  • Publication . Article . Preprint . Other literature type . 2021
    Open Access English
    Authors: 
    Evangelos Kontos; Aria Samimi; Renate W. Hakze-van der Honing; J. Priem; Aurore Avarguès-Weber; Alexander Haverkamp; Marcel Dicke; Jose L. Gonzales; Wim H.M. van der Poel;
    Countries: France, France, Netherlands
    Project: EC | One Health EJP (773830)

    AbstractThe COVID-19 pandemic has illustrated the need for the development of fast and reliable testing methods for novel, zoonotic, viral diseases in both humans and animals. Pathologies lead to detectable changes in the Volatile Organic Compound (VOC) profile of animals, which can be monitored, thus allowing the development of a rapid VOC-based test. In the current study, we successfully trained honeybees (Apis mellifera) to identify SARS-CoV-2 infected minks (Neovison vison) thanks to Pavlovian conditioning protocols. The bees can be quickly conditioned to respond specifically to infected mink’s odours and could therefore be part of a wider SARS-CoV-2 diagnostic system. We tested two different training protocols to evaluate their performance in terms of learning rate, accuracy and memory retention. We designed a non-invasive rapid test in which multiple bees are tested in parallel on the same samples. This provided reliable results regarding a subject’s health status. Using the data from the training experiments, we simulated a diagnostic evaluation trial to predict the potential efficacy of our diagnostic test, which yielded a diagnostic sensitivity of 92% and specificity of 86%. We suggest that a honeybee-based diagnostics can offer a reliable and rapid test that provides a readily available, low-input addition to the currently available testing methods. A honeybee-based diagnostic test might be particularly relevant for remote and developing communities that lack the resources and infrastructure required for mainstream testing methods.

  • Open Access English
    Authors: 
    Pelleau, Stéphane; Woudenberg, Tom; Rosado, Jason; Donnadieu, Françoise; Garcia, Laura; Obadia, Thomas; Gardais, Soazic; Elgharbawy, Yasmine; Velay, Aurelie; Gonzalez, Maria; +33 more
    Publisher: HAL CCSD
    Country: France
    Project: EC | MultiSeroSurv (852373)

    Abstract Background Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a complex antibody response that varies by orders of magnitude between individuals and over time. Methods We developed a multiplex serological test for measuring antibodies to 5 SARS-CoV-2 antigens and the spike proteins of seasonal coronaviruses. We measured antibody responses in cohorts of hospitalized patients and healthcare workers followed for up to 11 months after symptoms. A mathematical model of antibody kinetics was used to quantify the duration of antibody responses. Antibody response data were used to train algorithms for estimating time since infection. Results One year after symptoms, we estimate that 36% (95% range, 11%–94%) of anti-Spike immunoglobulin G (IgG) remains, 31% (95% range, 9%–89%) anti-RBD IgG remains, and 7% (1%–31%) of anti-nucleocapsid IgG remains. The multiplex assay classified previous infections into time intervals of 0–3 months, 3–6 months, and 6–12 months. This method was validated using data from a seroprevalence survey in France, demonstrating that historical SARS-CoV-2 transmission can be reconstructed using samples from a single survey. Conclusions In addition to diagnosing previous SARS-CoV-2 infection, multiplex serological assays can estimate the time since infection, which can be used to reconstruct past epidemics. Longitudinal follow-up of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reveals differences in the duration of antibodies to multiple antigens. Mathematical models of antibody waning and statistical algorithms can estimate an individual’s time since SARS-CoV-2 infection, and previous transmission waves in a population.

  • Open Access English
    Authors: 
    Writing Committee For The REMAP-CAP Investigators; Estcourt, Lise J; Turgeon, Alexis F; McQuilten, Zoe K; McVerry, Bryan J; Al-Beidh, Farah; Annane, Djillali; Arabi, Yaseen M; Arnold, Donald M; Beane, Abigail; +83 more
    Countries: United Kingdom, France, Belgium, France, United Kingdom, Netherlands, United Kingdom, United Kingdom, United Kingdom, United Kingdom ...
    Project: EC | PREPARE (602525)

    Importance The evidence for benefit of convalescent plasma for critically ill patients with COVID-19 is inconclusive.Objective To determine whether convalescent plasma would improve outcomes for critically ill adults with COVID-19.Design, Setting, and Participants The ongoing Randomized, Embedded, Multifactorial, Adaptive Platform Trial for Community-Acquired Pneumonia (REMAP-CAP) enrolled and randomized 4763 adults with suspected or confirmed COVID-19 between March 9, 2020, and January 18, 2021, within at least 1 domain; 2011 critically ill adults were randomized to open-label interventions in the immunoglobulin domain at 129 sites in 4 countries. Follow-up ended on April 19, 2021.Interventions The immunoglobulin domain randomized participants to receive 2 units of high-titer, ABO-compatible convalescent plasma (total volume of 550 mL ± 150 mL) within 48 hours of randomization (n = 1084) or no convalescent plasma (n = 916).Main Outcomes and Measures The primary ordinal end point was organ support–free days (days alive and free of intensive care unit–based organ support) up to day 21 (range, −1 to 21 days; patients who died were assigned –1 day). The primary analysis was an adjusted bayesian cumulative logistic model. Superiority was defined as the posterior probability of an odds ratio (OR) greater than 1 (threshold for trial conclusion of superiority >99%). Futility was defined as the posterior probability of an OR less than 1.2 (threshold for trial conclusion of futility >95%). An OR greater than 1 represented improved survival, more organ support–free days, or both. The prespecified secondary outcomes included in-hospital survival; 28-day survival; 90-day survival; respiratory support–free days; cardiovascular support–free days; progression to invasive mechanical ventilation, extracorporeal mechanical oxygenation, or death; intensive care unit length of stay; hospital length of stay; World Health Organization ordinal scale score at day 14; venous thromboembolic events at 90 days; and serious adverse events.Results Among the 2011 participants who were randomized (median age, 61 [IQR, 52 to 70] years and 645/1998 [32.3%] women), 1990 (99%) completed the trial. The convalescent plasma intervention was stopped after the prespecified criterion for futility was met. The median number of organ support–free days was 0 (IQR, –1 to 16) in the convalescent plasma group and 3 (IQR, –1 to 16) in the no convalescent plasma group. The in-hospital mortality rate was 37.3% (401/1075) for the convalescent plasma group and 38.4% (347/904) for the no convalescent plasma group and the median number of days alive and free of organ support was 14 (IQR, 3 to 18) and 14 (IQR, 7 to 18), respectively. The median-adjusted OR was 0.97 (95% credible interval, 0.83 to 1.15) and the posterior probability of futility (OR <1.2) was 99.4% for the convalescent plasma group compared with the no convalescent plasma group. The treatment effects were consistent across the primary outcome and the 11 secondary outcomes. Serious adverse events were reported in 3.0% (32/1075) of participants in the convalescent plasma group and in 1.3% (12/905) of participants in the no convalescent plasma group.Conclusions and Relevance Among critically ill adults with confirmed COVID-19, treatment with 2 units of high-titer, ABO-compatible convalescent plasma had a low likelihood of providing improvement in the number of organ support–free days.Trial Registration ClinicalTrials.gov Identifier: NCT02735707