| Autor: |
Scott Lindquist, Sandra Lester, Fiona Havers, Darin S. Carroll, Katherine Roguski, Vera A. Semenova, Mohammad Ata Ur Rasheed, Angela Dunn, Carina Blackmore, Joel M. Montgomery, Randall W. Williams, Alicia M. Fry, John Wiesman, Scott Pritchard, George Turabelidze, S. Michele Owen, Brandi Freeman, Jeffrey A. Johnson, Carrie Reed, Aron J. Hall, Jarad Schiffer, Debra Blog, Aridth Gibbons, Cheng-Feng Chiang, Inna Krapiunaya, Natalie J. Thornburg, Lisa A. Mills, John D. Klena, Maria Morales-Betoulle, Travis Lim, Deborah Cannon, Lynn E. Sosa |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| DOI: |
10.1101/2020.06.25.20140384 |
| Popis: |
ImportanceReported cases of SARS-CoV-2 infection likely underestimate the prevalence of infection in affected communities. Large-scale seroprevalence studies provide better estimates of the proportion of the population previously infected.ObjectiveTo estimate prevalence of SARS-CoV-2 antibodies in convenience samples from several geographic sites in the United States.DesignSerologic testing of convenience samples using residual sera obtained for routine clinical testing by two commercial laboratory companies.SettingConnecticut (CT), south Florida (FL), Missouri (MO), New York City metro region (NYC), Utah (UT), and Washington State’s (WA) Puget Sound region.ParticipantsPersons of all ages with serum collected during intervals from March 23 through May 3, 2020.ExposureSARS-CoV-2 virus infection.Main outcomes and measuresWe estimated the presence of antibodies to SARS-CoV-2 spike protein using an ELISA assay. We standardized estimates to the site populations by age and sex. Estimates were adjusted for test performance characteristics (96.0% sensitivity and 99.3% specificity). We estimated the number of infections in each site by extrapolating seroprevalence to site populations. We compared estimated infections to number of reported COVID-19 cases as of last specimen collection date.ResultsWe tested sera from 11,933 persons. Adjusted estimates of the proportion of persons seroreactive to the SARS-CoV-2 spike protein ranged from 1.13% (95% confidence interval [CI] 0.70-1.94) in WA to 6.93% (95% CI 5.02-8.92) in NYC (collected March 23-April 1). For sites with later collection dates, estimates ranged from 1.85% (95% CI 1.00-3.23, collected April 6-10) for FL to 4.94% (95% CI 3.61-6.52) for CT (April 26-May 3). The estimated number of infections ranged from 6 to 24 times the number of reported cases in each site.Conclusions and relevanceOur seroprevalence estimates suggest that for five of six U.S. sites, from late March to early May 2020, >10 times more SARS-CoV-2 infections occurred than the number of reported cases. Seroprevalence and under-ascertainment varied by site and specimen collection period. Most specimens from each site had no evidence of antibody to SARS-CoV-2. Tracking population seroprevalence serially, in a variety of specific geographic sites, will inform models of transmission dynamics and guide future community-wide public health measures.Key findingsQuestionWhat proportion of persons in six U.S. sites had detectable antibodies to SARS-CoV-2, March 23-May 3, 2020?FindingsWe tested 11,933 residual clinical specimens. We estimate that from 1.1% of persons in the Puget Sound to 6.9% in New York City (collected March 23-April 1) had detectable antibodies. Estimates ranged from 1.9% in south Florida to 4.9% in Connecticut with specimens collected during intervals from April 6-May 3. Six to 24 times more infections were estimated per site with seroprevalence than with case report data.MeaningFor most sites, evidence suggests >10 times more SARS-CoV-2 infections occurred than reported cases. Most persons in each site likely had no detectable SARS-CoV-2 antibodies. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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