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Dataset Information

COVID-19 among people experiencing homelessness in England: a modelling study.


ABSTRACT:

Background

People experiencing homelessness are vulnerable to COVID-19 due to the risk of transmission in shared accommodation and the high prevalence of comorbidities. In England, as in some other countries, preventive policies have been implemented to protect this population. We aimed to estimate the avoided deaths and health-care use among people experiencing homelessness during the so-called first wave of COVID-19 in England-ie, the peak of infections occurring between February and May, 2020-and the potential impact of COVID-19 on this population in the future.

Methods

We used a discrete-time Markov chain model of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection that included compartments for susceptible, exposed, infectious, and removed individuals

SUBMITTER: Lewer D 

PROVIDER: S-EPMC7511167 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature