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

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 sp...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Epidemics
Subjects:
Age-structured compartmental SEIR model
Stochastic chain-binomial model
Hospitalization and mortality data
Serial serological survey
Markov Chain Monte Carlo (MCMC)
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436521000116

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http://www.sciencedirect.com/science/article/pii/S1755436521000116

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