{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Bouman JA"],"funding":["ETH Zürich","Botnar Research Centre for Child Health"],"pagination":["e1008728"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7946301"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["17(2)"],"pubmed_abstract":["Large-scale serological testing in the population is essential to determine the true extent of the current SARS-CoV-2 pandemic. Serological tests measure antibody responses against pathogens and use predefined cutoff levels that dichotomize the quantitative test measures into sero-positives and negatives and use this as a proxy for past infection. With the imperfect assays that are currently available to test for past SARS-CoV-2 infection, the fraction of seropositive individuals in serosurveys is a biased estimator of the cumulative incidence and is usually corrected to account for the sensitivity and specificity. Here we use an inference method-referred to as mixture-model approach-for the estimation of the cumulative incidence that does not require to define cutoffs by integrating the q"],"journal":["PLoS computational biology"],"pubmed_title":["Estimating the cumulative incidence of SARS-CoV-2 with imperfect serological tests: Exploiting cutoff-free approaches."],"pmcid":["PMC7946301"],"funding_grant_id":["2020-FS-354"],"pubmed_authors":["Regoes RR","Bonhoeffer S","Bouman JA","Riou J"],"additional_accession":[]},"is_claimable":false,"name":"Estimating the cumulative incidence of SARS-CoV-2 with imperfect serological tests: Exploiting cutoff-free approaches.","description":"Large-scale serological testing in the population is essential to determine the true extent of the current SARS-CoV-2 pandemic. Serological tests measure antibody responses against pathogens and use predefined cutoff levels that dichotomize the quantitative test measures into sero-positives and negatives and use this as a proxy for past infection. With the imperfect assays that are currently available to test for past SARS-CoV-2 infection, the fraction of seropositive individuals in serosurveys is a biased estimator of the cumulative incidence and is usually corrected to account for the sensitivity and specificity. Here we use an inference method-referred to as mixture-model approach-for the estimation of the cumulative incidence that does not require to define cutoffs by integrating the q","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Feb","modification":"2025-04-06T09:48:47.402Z","creation":"2025-04-06T09:48:47.402Z"},"accession":"S-EPMC7946301","cross_references":{"pubmed":["33635863"],"doi":["10.1371/journal.pcbi.1008728"]}}