Predicting regional COVID-19 hospital admissions in Sweden using mobility data.
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ABSTRACT:
SUBMITTER: Gerlee P
PROVIDER: S-EPMC8683437 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
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Predicting regional COVID-19 hospital admissions in Sweden using mobility data.
Gerlee Philip P Karlsson Julia J Fritzell Ingrid I Brezicka Thomas T Spreco Armin A Timpka Toomas T Jöud Anna A Lundh Torbjörn T
Scientific reports 20211217 1
The transmission of COVID-19 is dependent on social mixing, the basic rate of which varies with sociodemographic, cultural, and geographic factors. Alterations in social mixing and subsequent changes in transmission dynamics eventually affect hospital admissions. We employ these observations to model and predict regional hospital admissions in Sweden during the COVID-19 pandemic. We use an SEIR-model for each region in Sweden in which the social mixing is assumed to depend on mobility data from ...[more]
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