Infectious Disease in the Workplace: Quantifying Uncertainty in Transmission.

ABSTRACT: Understanding disease transmission in the workplace is essential for protecting workers. To model disease outbreaks, the small populations in many workplaces require that stochastic effects are considered, which results in higher uncertainty. The aim of this study was to quantify and interpret the uncertainty inherent in such circumstances. We assessed how uncertainty of an outbreak in workplaces depends on i) the infection dynamics in the community, ii) the workforce size, iii) spatial structure in the workplace, iv) heterogeneity in susceptibility of workers, and v) heterogeneity in infectiousness of workers. To address these questions, we developed a multiscale model: A deterministic model to predict community transmission, and a stochastic model to predict workplace transmission. We ex

SUBMITTER: Hamley JID 

PROVIDER: S-EPMC10834607 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature