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Cumulative incidence and diagnosis of SARS-CoV-2 infection in New York
Eli S Rosenberg; James M Tesoriero; Elizabeth M Rosenthal; Rakkoo Chung; Meredith A Barranco; Linda M Styer; Monica M Parker; Shu-Yin John Leung; Johanne Morne; Danielle Greene; David R Holtgrave; Dina Hoefer; Jessica Kumar; Tomoko Udo; Brad Hutton; Howard A Zucker.
Affiliation
  • Eli S Rosenberg; University at Albany School of Public Health
  • James M Tesoriero; New York State Department of Health
  • Elizabeth M Rosenthal; University at Albany School of Public Health
  • Rakkoo Chung; New York State Department of Health
  • Meredith A Barranco; University at Albany School of Public Health
  • Linda M Styer; Wadsworth Center, New York State Department of Health
  • Monica M Parker; Wadsworth Center, New York State Department of Health
  • Shu-Yin John Leung; New York State Department of Health
  • Johanne Morne; New York State Department of Health
  • Danielle Greene; New York State Department of Health
  • David R Holtgrave; University at Albany School of Public Health
  • Dina Hoefer; New York State Department of Health
  • Jessica Kumar; New York State Department of Health
  • Tomoko Udo; University at Albany School of Public Health
  • Brad Hutton; New York State Department of Health
  • Howard A Zucker; New York State Department of Health
Preprint in English | medRxiv | ID: ppmedrxiv-20113050
Journal article
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ABSTRACT
ImportanceNew York State (NYS) is an epicenter of the United States COVID-19 epidemic. Reliable estimates of cumulative incidence of SARS-CoV-2 infection in the population are critical to tracking the extent of transmission and informing policies, but US data are lacking, in part because societal closure complicates study conduct. ObjectiveTo estimate the cumulative incidence of SARS-CoV-2 infection and percent of infections diagnosed in New York State, overall and by region, age, sex, and race and ethnicity. DesignStatewide cross-sectional seroprevalence study, conducted April 19-28, 2020. SettingGrocery stores (n=99) located in 26 counties throughout NYS, which were essential businesses that remained open during a period of societal closure and attract a heterogenous clientele. ParticipantsConvenience sample of patrons [≥]18 years and residing in New York State, recruited consecutively upon entering stores and via an in-store flyer. ExposuresRegion (New York City, Westchester/Rockland, Long Island, Rest of New York State), age, sex, race and ethnicity. Main OutcomesPrimary

outcome:

cumulative incidence of SARS-CoV-2 infection, based on dry-blood spot (DBS) SARS-CoV-2 antibody reactivity; secondary

outcome:

percent of infections diagnosed. ResultsAmong 15,101 adults with suitable DBS specimens, 1,887 (12.5%) were reactive using a validated SARS-CoV-2 IgG microsphere immunoassay (sensitivity 87.9%, specificity 99.75%). Following post-stratification weighting on region, sex, age, and race and ethnicity and adjustment for assay characteristics, estimated cumulative incidence through March 29 was 14.0% (95% CI 13.3-14.7%), corresponding to 2,139,300 (95% CI 2,035,800-2,242,800) infection-experienced adults. Cumulative incidence was higher among Hispanic/Latino (29.2%, 95% CI 27.2-31.2%), non-Hispanic black/African American (20.2% 95% CI, 18.1-22.3%), and non-Hispanic Asian (12.4%, 95% CI 9.4-15.4%) adults than non-Hispanic white adults (8.1%, 95% CI 7.4-8.7%, p<.0001). Cumulative incidence was highest in New York City (NYC) 22.7% (95% CI 21.5%-24.0). Dividing diagnoses reported to NYS by estimated infection-experienced adults, an estimated 8.9% (95% CI 8.4-9.3%) of infections were diagnosed, with those [≥]55 years most likely to be diagnosed (11.3%, 95% CI 10.4-12.2%). Conclusions and RelevanceOver 2 million adults were infected through late March 2020, with substantial variations by subpopulations. As this remains below herd immunity thresholds, monitoring, testing, and contact tracing remain essential public health strategies.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Observational study / Prognostic study / Rct Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Observational study / Prognostic study / Rct Language: English Year: 2020 Document type: Preprint
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