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: Steven Abrams
James Wambua
Eva Santermans
Lander Willem
Elise Kuylen
Pietro Coletti
Pieter Libin
Christel Faes
Oana Petrof
Sereina A. Herzog
Philippe Beutels
Niel Hens
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: Epidemics, Vol 35, Iss , Pp 100449- (2021)
Verlag/Hrsg.: Elsevier
Schlagwörter: Age-structured compartmental SEIR model / Stochastic chain-binomial model / Hospitalization and mortality data / Serial serological survey / Markov Chain Monte Carlo (MCMC) / Infectious and parasitic diseases / RC109-216
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26527350
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.1016/j.epidem.2021.100449