Modelling the early phase of the Belgian COVID-19 epidemic using a stochastic compartmental model and studying its implied future trajectories

Following the onset of the ongoing COVID-19 pandemic throughout the world, a large fraction of the global population is or has been under strict measures of physical distancing and quarantine, with many countries being in partial or full lockdown. These measures are imposed in order to reduce the spread of the disease and to lift the pressure on healthcare systems. Estimating the impact of such interventions as well as monitoring the gradual relaxing of these stringent measures is quintessential to understand how resurgence of the COVID-19 epidemic can be controlled for in the future. In this... Mehr ...

Verfasser: ABRAMS, Steven
WAMBUA, James
SANTERMANS, Eva
WILLEM, Lander
KUYLEN, Elise
COLETTI, Pietro
LIBIN, Pieter
FAES, Christel
PETROF, Oana
HERZOG, Sereina
Beutels, Philippe
HENS, Niel
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Verlag/Hrsg.: ELSEVIER
Schlagwörter: Age-structured compartmental SEIR model / Hospitalization and mortality data / Markov Chain Monte Carlo (MCMC) / Serial serological survey / Stochastic chain-binomial model
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26529420
Datenquelle: BASE; Originalkatalog
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Link(s) : http://hdl.handle.net/1942/34339