A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic.

ABSTRACT: The widespread, and in many countries unprecedented, use of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic has highlighted the need for mathematical models which can estimate the impact of these measures while accounting for the highly heterogeneous risk profile of COVID-19. Models accounting either for age structure or the household structure necessary to explicitly model many NPIs are commonly used in infectious disease modelling, but models incorporating both levels of structure present substantial computational and mathematical challenges due to their high dimensionality. Here we present a modelling framework for the spread of an epidemic that includes explicit representation of age structure and household structure. Our model is formulated in terms of tractable s

SUBMITTER: Hilton J 

PROVIDER: S-EPMC9481179 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature