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ABSTRACT: Abstract
Introduction
To characterise age-mixing patterns among index cases and contacts of COVID-19, and explore when patients are most infectious during the disease process.Methods
This study examined all initial 90 885 confirmed index cases in Shanghai and their 450 770 close contacts. A generalised additive mixed model was used to analyse the associations of the number of close contacts with different demographic and clinical characteristics. The effect of different exposure time windows on the infection of close contacts was evaluated using a modified mixed-effects Poisson regression.Results
Analysis of contacts indicated that 82 467 (18.29%; 95% CI 18.17%, 18.42%) were second-generation cases. Our result indicated the q-index was 0.300 (95% CI 0.298, 0
SUBMITTER: Zheng Y
PROVIDER: S-EPMC11812788 | biostudies-literature | 2024 Jun
REPOSITORIES: biostudies-literature