4.6 Article

Estimating the Cumulative Incidence of SARS-CoV-2 Infection and the Infection Fatality Ratio in Light of Waning Antibodies

期刊

EPIDEMIOLOGY
卷 32, 期 4, 页码 518-524

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/EDE.0000000000001361

关键词

Antibody; Case ascertainment ratio; COVID-19; Cumulative incidence; Infection fatality ratio; SARS-CoV-2; Seroprevalence; Waning antibody

资金

  1. US National Science Foundation [2032082, 2032084]
  2. US National Institute of Allergy and Infectious Diseases [3R01AI143875-02S1]
  3. Division Of Environmental Biology
  4. Direct For Biological Sciences [2032082, 2032084] Funding Source: National Science Foundation

向作者/读者索取更多资源

Through analysis of data from New York City and Connecticut, researchers found that serology data without adjustment for waning antibodies underestimates the cumulative incidence of SARS-CoV-2 infection. They successfully estimated the infection fatality ratio and time for antibody waning, providing a basis for adjusting estimates.
Background: Serology tests can identify previous infections and facilitate estimation of the number of total infections. However, immunoglobulins targeting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been reported to wane below the detectable level of serologic assays (which is not necessarily equivalent to the duration of protective immunity). We estimate the cumulative incidence of SARS-CoV-2 infection from serology studies, accounting for expected levels of antibody acquisition (seroconversion) and waning (seroreversion), and apply this framework using data from New York City and Connecticut. Methods: We estimated time from seroconversion to seroreversion and infection fatality ratio (IFR) using mortality data from March to October 2020 and population-level cross-sectional seroprevalence data from April to August 2020 in New York City and Connecticut. We then estimated the daily seroprevalence and cumulative incidence of SARS-CoV-2 infection. Results: The estimated average time from seroconversion to seroreversion was 3-4 months. The estimated IFR was 1.1% (95% credible interval, 1.0%, 1.2%) in New York City and 1.4% (1.1, 1.7%) in Connecticut. The estimated daily seroprevalence declined after a peak in the spring. The estimated cumulative incidence reached 26.8% (24.2%, 29.7%) at the end of September in New York City and 8.8% (7.1%, 11.3%) in Connecticut, higher than maximum seroprevalence measures (22.1% and 6.1%), respectively. Conclusions: The cumulative incidence of SARS-CoV-2 infection is underestimated using cross-sectional serology data without adjustment for waning antibodies. Our approach can help quantify the magnitude of underestimation and adjust estimates for waning antibodies.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据