2026-07-21T11:44:23Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/162832024-09-27T16:35:48Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19608
Repisalud
author
Pardo-Araujo, Marta
author
García-García, David
author
Alonso, David
author
Bartumeus, Frederic
funder
Fundación La Caixa
funder
Unión Europea. Comisión Europea. H2020
2023-07-18T08:15:14Z
2023-07-18T08:15:14Z
2023-07-14
Sci Rep. 2023 Jul 14;13(1):11409.
10.1038/s41598-023-38395-0
2045-2322
Scientific reports
37452118
http://hdl.handle.net/20.500.12105/16283
A comprehensive view of disease epidemics demands a deep understanding of the complex interplay between human behaviour and infectious diseases. Here, we propose a flexible modelling framework that brings conclusions about the influence of human mobility and disease transmission on early epidemic growth, with applicability in outbreak preparedness. We use random matrix theory to compute an epidemic threshold, equivalent to the basic reproduction number [Formula: see text], for a SIR metapopulation model. The model includes both systematic and random features of human mobility. Variations in disease transmission rates, mobility modes (i.e. commuting and migration), and connectivity strengths determine the threshold value and whether or not a disease may potentially establish in the population, as well as the local incidence distribution.
eng
Epidemic thresholds and human mobility
research article
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URL
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EpidemicThresholdsHumanMobility_2023.pdf
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Supplementary_EpidemicThresholdsHumanMobility_2023.pdf
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EpidemicThresholdsHumanMobility_2023.pdf.txt
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Supplementary_EpidemicThresholdsHumanMobility_2023.pdf.txt