Assessing population-sampling strategies for reducing the COVID-19 incidence.

ABSTRACT: As long as critical levels of vaccination have not been reached to ensure heard immunity, and new SARS-CoV-2 strains are developing, the only realistic way to reduce the infection speed in a population is to track the infected individuals before they pass on the virus. Testing the population via sampling has shown good results in slowing the epidemic spread. Sampling can be implemented at different times during the epidemic and may be done either per individual or for combined groups of people at a time. The work we present here makes two main contributions. We first extend and refine our scalable agent-based COVID-19 simulator to incorporate an improved socio-demographic model which considers professions, as well as a more realistic population mixing model based on contact matrices per co

SUBMITTER: Guzman-Merino M 

PROVIDER: S-EPMC8507586 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature