Predicting COVID-19 incidence in French hospitals using human contact network analytics.

ABSTRACT: Background  COVID-19 was first detected in Wuhan, China, in 2019 and spread worldwide within a few weeks. The COVID-19 epidemic started to gain traction in France in March 2020. Subnational hospital admissions and deaths were then recorded daily and served as the main policy indicators. Concurrently, mobile phone positioning data have been curated to determine the frequency of users being colocalized within a given distance. Contrarily to individual tracking data, these can be a proxy for human contact networks between subnational administrative units. Methods  Motivated by numerous studies correlating human mobility data and disease incidence, we developed predictive time series models of hospital incidence between July 2020 and April 2021. We added human contact network analytics, such a

SUBMITTER: Selinger C 

PROVIDER: S-EPMC8364404 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature