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Low Seroprevalence of SARS-CoV-2 in Rhode Island Blood Donors Determined using Multiple Serological Assay Formats
Daniel J Nesbitt; Daniel Jin; Joseph W Hogan; Philip A Chan; Melissa J Simon; Matthew Vargas; Ewa King; Richard C Huard; Utpala Bandy; Christopher D Hillyer; Larry L Luchsinger.
Afiliação
  • Daniel J Nesbitt; New York Blood Center
  • Daniel Jin; New York Blood Center
  • Joseph W Hogan; Brown University
  • Philip A Chan; Rhode Island Department of Health
  • Melissa J Simon; Rhode Island Commerce Corporation
  • Matthew Vargas; Rhode Island Commerce Corporation
  • Ewa King; Rhode Island Department of Health
  • Richard C Huard; Rhode Island Department of Health
  • Utpala Bandy; Rhode Island Department of Health
  • Christopher D Hillyer; New York Blood Center
  • Larry L Luchsinger; New York Blood Center
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20157743
ABSTRACT
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. 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). We report than an estimated seropositive rate of RI blood donors of approximately 0.6% existed in April-May of 2020. These data imply that seroconversion, and thus infection, is likely not widespread within this population. Daily new case rates peaked in RI in late April 2020. 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.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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