Simulated identification of silent COVID-19 infections among children and estimated future infection rates with vaccination.

ABSTRACT: A significant proportion of COVID-19 transmission occurs silently during the pre-symptomatic and asymptomatic stages of infection. Children, while being important drivers of silent transmission, are not included in the current COVID-19 vaccination campaigns. To investigate the benefits of identifying silent infections among children as a proxy for their vaccination. This study used an age-structured disease transmission model, parameterized with census data and estimates from published literature, to simulate the synergistic effect of interventions in reducing attack rates over the course of one year. A synthetic population representative of the United States (US) demographics. Six age groups of 0-4, 5-10, 11-18, 19-49, 50-64, 65+ years based on US census data. In addition to the isolation

SUBMITTER: Moghadas SM 

PROVIDER: S-EPMC7805462 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature