Dynamics of SARS-CoV-2 Seroprevalence in a Large US population Over a Period of 12 Months

Author:

Karkanitsa Maria,Li Yan,Valenti Shannon,Spathies Jacquelyn,Kelly Sophie,Hunsberger Sally,Yee Laura,Croker Jennifer A.,Wang Jing,Alfonso Andrea Lucia,Faust Mondreakest,Mehalko Jennifer,Drew Matthew,Denson John-Paul,Putman Zoe,Fathi Parinaz,Ngo Tran B.,Siripong Nalyn,Baus Holly Ann,Petersen Brian,Ford Eric W.,Sundaresan Vanathi,Josyula Aditya,Han Alison,Giurgea Luca T.,Rosas Luz Angela,Bean Rachel,Athota Rani,Czajkowski Lindsay,Klumpp-Thomas Carleen,Cervantes-Medina Adriana,Gouzoulis Monica,Reed Susan,Graubard Barry,Hall Matthew D.,Kalish Heather,Esposito Dominic,Kimberly Robert P.,Reis Steven,Sadtler Kaitlyn,Memoli Matthew J

Abstract

ABSTRACTDue to a combination of asymptomatic or undiagnosed infections, the proportion of the United States population infected with SARS-CoV-2 was unclear from the beginning of the pandemic. We previously established a platform to screen for SARS-CoV-2 positivity across a representative proportion of the US population, from which we reported that almost 17 million Americans were estimated to have had undocumented infections in the Spring of 2020. Since then, vaccine rollout and prevalence of different SARS-CoV-2 variants have further altered seropositivity trends within the United States population. To explore the longitudinal impacts of the pandemic and vaccine responses on seropositivity, we re-enrolled participants from our baseline study in a 6- and 12-month follow-up study to develop a longitudinal antibody profile capable of representing seropositivity within the United States during a critical period just prior to and during the initiation of vaccine rollout. Initial measurements showed that, since July 2020, seropositivity elevated within this population from 4.8% at baseline to 36.2% and 89.3% at 6 and 12 months, respectively. We also evaluated nucleocapsid seropositivity and compared to spike seropositivity to identify trends in infection versus vaccination relative to baseline. These data serve as a window into a critical timeframe within the COVID-19 pandemic response and serve as a resource that could be used in subsequent respiratory illness outbreaks.

Publisher

Cold Spring Harbor Laboratory

Reference48 articles.

1. W. H. Organization. (WHO, 2023).

2. The WHO estimates of excess mortality associated with the COVID-19 pandemic;Nature,2023

3. Testing at scale during the COVID-19 pandemic;Nature Reviews Genetics,2021

4. N. Bobrovitz et al., Lessons from a rapid systematic review of early SARS-CoV-2 serosurveys. MedRxiv, 2020.2005. 2010.20097451 (2020).

5. N. Duarte et al., in Open forum infectious diseases. (Oxford University Press US, 2022), vol. 9, pp. ofab632.

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