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Methodology to estimate natural- and vaccine-induced antibodies to SARS-CoV-2 in a large geographic region
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Methodology to estimate natural- and vaccine-induced antibodies to SARS-CoV-2 in a large geographic region
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Methodology to estimate natural- and vaccine-induced antibodies to SARS-CoV-2 in a large geographic region
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Journal Article
Methodology to estimate natural- and vaccine-induced antibodies to SARS-CoV-2 in a large geographic region
2022
Overview
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 3× 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.
Publisher
Public Library of Science,Public Library of Science (PLoS)
