Research Square (Research Square) · 2020 · 11 citations · 15 references
Veterinary MedicineBiostatisticsInfectious DiseasesDisease SurveillanceEpidemiologic MethodsPublic Health SurveillanceAntibody ScreeningSerological DiagnosticsSeroprevalence StudiesEnzyme-linked Immunosorbent Assay (Elisa)Infectious Disease SerologyPopulation SerologySars-cov-2 InfectionSeroconversion RatesSerological DetectionSevere Acute Respiratory SyndromeViral Seroprevalence
Abstract Background: Epidemic projections and public health policies addressing Coronavirus disease (COVID)-19 have been implemented without data reporting on the seroconversion of the population since scalable antibody testing has only recently become available. Methods: We measured the percentage of severe acute respiratory syndrome- Coronavirus-2 (SARS-CoV-2) seropositive individuals from 2,008 blood donors drawn in the state of Rhode Island (RI). We utilized multiple antibody testing platforms, including lateral flow immunoassays (LFAs), enzyme-linked immunosorbent assays (ELISAs) and high throughput serological assays (HTSAs). To estimate seroprevalence, we utilized the Bayesian statistical method to adjust for sensitivity and specificity of the commercial tests used. Results: We report than an estimated seropositive rate of RI blood donors of approximately 0.6% existed in April-May of 2020. Daily new case rates peaked in RI in late April 2020. We found HTSAs and LFAs were positively correlated with ELISA assays to detect antibodies specific to SARS-CoV-2 in blood donors. Conclusions: These data imply that seroconversion, and thus infection, is likely not widespread within this population. We conclude that IgG LFAs and HTSAs are suitable to conduct seroprevalence assays in random populations. More studies will be needed using validated serological tests to improve the precision and report the kinetic progression of seroprevalence estimates.
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Wanbo Tai, Lei He, Xiujuan Zhang et al. · Cellular and Molecular Immunology · 2020 · 1.8K citations · Full text
COVID-19 Antibody Seroprevalence in Santa Clara County, California
Eran Bendavid, Bianca Mulaney, Neeraj Sood et al. · medRxiv · 2020 · 561 citations · Full text