Assessment of the COVID-19 infection risk at a workplace through stochastic microexposure modeling.

ABSTRACT:

Background

The COVID-19 pandemic has a significant impact on economy. Decisions regarding the reopening of businesses should account for infection risks.

Objective

This paper describes a novel model for COVID-19 infection risks and policy evaluations.

Methods

The model combines the best principles of the agent-based, microexposure, and probabilistic modeling approaches. It takes into account specifics of a workplace, mask efficiency, and daily routines of employees, but does not require specific inter-agent rules for simulations. Likewise, it does not require knowledge of microscopic disease related parameters. Instead, the risk of infection is aggregated into the probability of infection, which depends on the duration and distance of every contact. The probability of

SUBMITTER: Vecherin S 

PROVIDER: S-EPMC8801387 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature