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

被引：0
作者：
Pietro Coletti
Pieter Libin
Oana Petrof
Lander Willem
Steven Abrams
Sereina A. Herzog
Christel Faes
Elise Kuylen
James Wambua
Philippe Beutels
Niel Hens
机构：
[1] Data Science Institute,
[2] I-Biostat,undefined
[3] Hasselt University,undefined
[4] Vrije Universiteit Brussel,undefined
[5] Rega Institute for Medical Research,undefined
[6] Katholieke Universiteit Leuven,undefined
[7] Centre for Health Economics Research and Modelling Infectious Diseases,undefined
[8] Vaccine and Infectious Disease Institute,undefined
[9] University of Antwerp,undefined
[10] Global Health Institute,undefined
[11] Family Medicine and Population Health,undefined
[12] University of Antwerp,undefined
[13] Institute for Medical Informatics,undefined
[14] Statistics and Documentation,undefined
[15] School of Public Health and Community Medicine,undefined
[16] The University of New South Wales,undefined
来源：
BMC Infectious Diseases | / 21卷
关键词：
COVID-19; Behavioral changes; Metapopulation; Epidemic modeling; Spatial transmission; Mixing patterns;
D O I：
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