A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2.

ABSTRACT: As part of a concerted pandemic response to protect public health, businesses can enact non-pharmaceutical controls to minimise exposure to pathogens in workplaces and premises open to the public. Amendments to working practices can lead to the amount, duration and/or proximity of interactions being changed, ultimately altering the dynamics of disease spread. These modifications could be specific to the type of business being operated. We use a data-driven approach to parameterise an individual-based network model for transmission of SARS-CoV-2 amongst the working population, stratified into work sectors. The network is comprised of layered contacts to consider the risk of spread in multiple encounter settings (workplaces, households, social and other). We analyse several interventions tar

SUBMITTER: Hill EM 

PROVIDER: S-EPMC8208574 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature