Prevalence of SARS-CoV-2 antibodies in France: results from nationwide serological surveillance
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Abstract
Assessment of the cumulative incidence of SARS-CoV-2 infections is critical for monitoring the course and extent of the COVID-19 epidemic. Here, we report estimated seroprevalence in the French population and the proportion of infected individuals who developed neutralising antibodies at three points throughout the first epidemic wave. Testing 11,000 residual specimens for anti-SARS-CoV-2 IgG and neutralising antibodies, we find nationwide seroprevalence of 0.41% (95% CI: 0.05–0.88) mid-March, 4.14% (95% CI: 3.31–4.99) mid-April and 4.93% (95% CI: 4.02–5.89) mid-May 2020. Approximately 70% of seropositive individuals have detectable neutralising antibodies. Infection fatality rate is 0.84% (95% CI: 0.70–1.03) and increases exponentially with age. These results confirm that the nationwide lockdown substantially curbed transmission and that the vast majority of the French population remained susceptible to SARS-CoV-2 in May 2020. Our study shows the progression of the first epidemic wave and provides a framework to inform the ongoing public health response as viral transmission continues globally.
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SciScore for 10.1101/2020.10.20.20213116: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Antibodies Sentences Resources 14 In LuLISA, the presence of all four anti-N or anti-S IgG subtypes is revealed by the means of a unique alpaca anti-human VhH (single variable heavy chain antibody domain) coupled to a luciferase, the bioluminescent activity of which is then measured. anti-Nsuggested: Noneanti-S IgGsuggested: Noneanti-human VhH (single variable heavy chainsuggested: NoneThis test makes it possible to estimate the prevalence of potentially neutralising anti-S antibodies, although the effective level of protection conferred by neutralising antibodies remains unclear. anti-Ssuggested: NoneExperimental Models: Cell Lines SciScore for 10.1101/2020.10.20.20213116: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Antibodies Sentences Resources 14 In LuLISA, the presence of all four anti-N or anti-S IgG subtypes is revealed by the means of a unique alpaca anti-human VhH (single variable heavy chain antibody domain) coupled to a luciferase, the bioluminescent activity of which is then measured. anti-Nsuggested: Noneanti-S IgGsuggested: Noneanti-human VhH (single variable heavy chainsuggested: NoneThis test makes it possible to estimate the prevalence of potentially neutralising anti-S antibodies, although the effective level of protection conferred by neutralising antibodies remains unclear. anti-Ssuggested: NoneExperimental Models: Cell Lines Sentences Resources The PNT mimics the SARS-CoV-2 entry step in HEK 293T cells stably expressing the human SARS-CoV-2 spike receptor ACE2 on their surface. HEK 293Tsuggested: NCBI_Iran Cat# C498, RRID:CVCL_0063)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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