Critical mobility in policy making for epidemic containment

Abstract When considering airborne epidemic spreading in social systems, a natural connection arises between mobility and epidemic contacts. As individuals travel, possibilities to encounter new people either at the final destination or during the transportation process appear. Such contacts can lea...

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Main Authors: Jesús A. Moreno López, David Mateo, Alberto Hernando, Sandro Meloni, José J. Ramasco
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-86759-5
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author Jesús A. Moreno López
David Mateo
Alberto Hernando
Sandro Meloni
José J. Ramasco
author_facet Jesús A. Moreno López
David Mateo
Alberto Hernando
Sandro Meloni
José J. Ramasco
author_sort Jesús A. Moreno López
collection DOAJ
description Abstract When considering airborne epidemic spreading in social systems, a natural connection arises between mobility and epidemic contacts. As individuals travel, possibilities to encounter new people either at the final destination or during the transportation process appear. Such contacts can lead to new contagion events. In fact, mobility has been a crucial target for early non-pharmaceutical containment measures against the recent COVID-19 pandemic, with a degree of intensity ranging from public transportation line closures to regional, city or even home confinements. Nonetheless, quantitative knowledge on the relationship between mobility-contagions and, consequently, on the efficiency of containment measures remains elusive. Here we introduce an agent-based model with a simple interaction between mobility and contacts. Despite its simplicity, our model shows the emergence of a critical mobility level, inducing major outbreaks when surpassed. We explore the interplay between mobility restrictions and the infection in recent intervention policies seen across many countries, and how interventions in the form of closures triggered by incidence rates can guide the epidemic into an oscillatory regime with recurrent waves. We consider how the different interventions impact societal well-being, the economy and the population. Finally, we propose a mitigation framework based on the critical nature of mobility in an epidemic, able to suppress incidence and oscillations at will, preventing extreme incidence peaks with potential to saturate health care resources.
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spelling doaj-art-140670e321454b0195aeca9f729fcdee2025-01-26T12:27:54ZengNature PortfolioScientific Reports2045-23222025-01-0115111310.1038/s41598-025-86759-5Critical mobility in policy making for epidemic containmentJesús A. Moreno López0David Mateo1Alberto Hernando2Sandro Meloni3José J. Ramasco4Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB)Kido Dynamics SAKido Dynamics SAInstituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB)Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB)Abstract When considering airborne epidemic spreading in social systems, a natural connection arises between mobility and epidemic contacts. As individuals travel, possibilities to encounter new people either at the final destination or during the transportation process appear. Such contacts can lead to new contagion events. In fact, mobility has been a crucial target for early non-pharmaceutical containment measures against the recent COVID-19 pandemic, with a degree of intensity ranging from public transportation line closures to regional, city or even home confinements. Nonetheless, quantitative knowledge on the relationship between mobility-contagions and, consequently, on the efficiency of containment measures remains elusive. Here we introduce an agent-based model with a simple interaction between mobility and contacts. Despite its simplicity, our model shows the emergence of a critical mobility level, inducing major outbreaks when surpassed. We explore the interplay between mobility restrictions and the infection in recent intervention policies seen across many countries, and how interventions in the form of closures triggered by incidence rates can guide the epidemic into an oscillatory regime with recurrent waves. We consider how the different interventions impact societal well-being, the economy and the population. Finally, we propose a mitigation framework based on the critical nature of mobility in an epidemic, able to suppress incidence and oscillations at will, preventing extreme incidence peaks with potential to saturate health care resources.https://doi.org/10.1038/s41598-025-86759-5MobilityEpidemiologyPublic HealthPolicy MakingApplied Mathematics
spellingShingle Jesús A. Moreno López
David Mateo
Alberto Hernando
Sandro Meloni
José J. Ramasco
Critical mobility in policy making for epidemic containment
Scientific Reports
Mobility
Epidemiology
Public Health
Policy Making
Applied Mathematics
title Critical mobility in policy making for epidemic containment
title_full Critical mobility in policy making for epidemic containment
title_fullStr Critical mobility in policy making for epidemic containment
title_full_unstemmed Critical mobility in policy making for epidemic containment
title_short Critical mobility in policy making for epidemic containment
title_sort critical mobility in policy making for epidemic containment
topic Mobility
Epidemiology
Public Health
Policy Making
Applied Mathematics
url https://doi.org/10.1038/s41598-025-86759-5
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