A dynamic microsimulation model for epidemics.

ABSTRACT: A large evidence base demonstrates that the outcomes of COVID-19 and national and local interventions are not distributed equally across different communities. The need to inform policies and mitigation measures aimed at reducing the spread of COVID-19 highlights the need to understand the complex links between our daily activities and COVID-19 transmission that reflect the characteristics of British society. As a result of a partnership between academic and private sector researchers, we introduce a novel data driven modelling framework together with a computationally efficient approach to running complex simulation models of this type. We demonstrate the power and spatial flexibility of the framework to assess the effects of different interventions in a case study where the effects of th

SUBMITTER: Spooner F 

PROVIDER: S-EPMC8520832 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature