A data-driven metapopulation model for the Belgian COVID-19 epidemic: assessing the impact of lockdown and exit strategies

A data-driven metapopulation model for the Belgian COVID-19 epidemic: assessing the impact of lockdown and exit strategies

Abstract Background In response to the ongoing COVID-19 pandemic, several countries adopted measures of social distancing to a different degree. For many countries, after successfully curbing the initial wave, lockdown measures were gradually lifted. In Belgium, such relief started on May 4th with p...

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Bibliographic Details
Main Authors: Pietro Coletti, Pieter Libin, Oana Petrof, Lander Willem, Steven Abrams, Sereina A. Herzog, Christel Faes, Elise Kuylen, James Wambua, Philippe Beutels, Niel Hens
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Infectious Diseases
Subjects:
COVID-19
Behavioral changes
Metapopulation
Epidemic modeling
Spatial transmission
Mixing patterns
Online Access:https://doi.org/10.1186/s12879-021-06092-w

Internet

https://doi.org/10.1186/s12879-021-06092-w

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