Prioritising COVID-19 vaccination in changing social and epidemiological landscapes: a mathematical modelling study.

ABSTRACT:

Background

During the COVID-19 pandemic, authorities must decide which groups to prioritise for vaccination in a shifting social-epidemiological landscape in which the success of large-scale non-pharmaceutical interventions requires broad social acceptance. We aimed to compare projected COVID-19 mortality under four different strategies for the prioritisation of SARS-CoV-2 vaccines.

Methods

We developed a coupled social-epidemiological model of SARS-CoV-2 transmission in which social and epidemiological dynamics interact with one another. We modelled how population adherence to non-pharmaceutical interventions responds to case incidence. In the model, schools and workplaces are also closed and reopened on the basis of reported cases. The model was parameterised with data on

SUBMITTER: Jentsch PC 

PROVIDER: S-EPMC8012029 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature