Methodology to estimate natural- and vaccine-induced antibodies to SARS-CoV-2 in a large geographic region

Accurate estimates of natural and/or vaccine-induced antibodies to SARS-CoV-2 are difficult to obtain. Although model-based estimates of seroprevalence have been proposed, they require inputting unknown parameters including viral reproduction number, longevity of immune response, and other dynamic f...

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Veröffentlicht in:PloS one 2022-09, Vol.17 (9), p.e0273694-e0273694
Hauptverfasser: DeSantis, Stacia M, León-Novelo, Luis G, Swartz, Michael D, Yaseen, Ashraf S, Valerio-Shewmaker, Melissa A, Talebi, Yashar, Brito, Frances A, Ross, Jessica A, Kohl, Harold W, Messiah, Sarah E, Kelder, Steve H, Wu, Leqing, Zhang, Shiming, Aguillard, Kimberly A, Gonzalez, Michael O, Omega-Njemnob, Onyinye S, Lakey, David, Shuford, Jennifer A, Pont, Stephen, Boerwinkle, Eric
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Sprache:eng
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Zusammenfassung:Accurate estimates of natural and/or vaccine-induced antibodies to SARS-CoV-2 are difficult to obtain. Although model-based estimates of seroprevalence have been proposed, they require inputting unknown parameters including viral reproduction number, longevity of immune response, and other dynamic factors. In contrast to a model-based approach, the current study presents a data-driven detailed statistical procedure for estimating total seroprevalence (defined as antibodies from natural infection or from full vaccination) in a region using prospectively collected serological data and state-level vaccination data. Specifically, we conducted a longitudinal statewide serological survey with 88,605 participants 5 years or older with 3 prospective blood draws beginning September 30, 2020. Along with state vaccination data, as of October 31, 2021, the estimated percentage of those 5 years or older with naturally occurring antibodies to SARS-CoV-2 in Texas is 35.0% (95% CI = (33.1%, 36.9%)). This is 3x higher than, state-confirmed COVID-19 cases (11.83%) for all ages. The percentage with naturally occurring or vaccine-induced antibodies (total seroprevalence) is 77.42%. This methodology is integral to pandemic preparedness as accurate estimates of seroprevalence can inform policy-making decisions relevant to SARS-CoV-2.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0273694