Fitting and validation of an agent-based model for COVID-19 case forecasting in workplaces and universities.

ABSTRACT: COVID-19 forecasting models have been critical in guiding decision-making on surveillance testing, social distancing, and vaccination requirements. Beyond influencing public health policies, an accurate COVID-19 forecasting model can impact community spread by enabling employers and university leaders to adapt worksite policies and practices to contain or mitigate outbreaks. While many such models have been developed for COVID-19 forecasting at the national, state, county, or city level, only a few models have been developed for workplaces and universities. Furthermore, COVID-19 forecasting models have rarely been validated against real COVID-19 case data. Here we present the systematic parameter fitting and validation of an agent-based compartment model for the forecasting of daily COVID-

SUBMITTER: Kumaresan V 

PROVIDER: S-EPMC10035834 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature