Balancing Mobility Behaviors to avoid Global epidemics from Local Outbreaks

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Valgañón, Pablo, Brotons, Antonio, Soriano-Paños, David, Gómez-Gardeñes, Jesús
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866912150797156352
author Valgañón, Pablo
Brotons, Antonio
Soriano-Paños, David
Gómez-Gardeñes, Jesús
author_facet Valgañón, Pablo
Brotons, Antonio
Soriano-Paños, David
Gómez-Gardeñes, Jesús
contents Human interactions and mobility shape epidemic dynamics by facilitating disease outbreaks and their spatial spread across regions. Traditional models often isolate commuting and random mobility as separate behaviors, focusing either on short, recurrent trips or on random, exploratory movements. Here, we propose a unified formalism that allows a smooth transition between commuting and exploratory behavior based on travel and return probabilities. We derive an analytical expression for the epidemic threshold, revealing a non-monotonic dependence on recurrence rates: while recurrence tends to lower the threshold by increasing agent concentration in high-contact hubs, it counterintuitively raises the invasion threshold in low-mobility scenarios, suggesting that allowing recurrence may foster local outbreaks while suppressing global epidemics. These results provide a comprehensive understanding of the interplay between human mobility patterns and epidemic spread, with implications for containment strategies in structured populations.
format Preprint
id arxiv_https___arxiv_org_abs_2412_07656
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Balancing Mobility Behaviors to avoid Global epidemics from Local Outbreaks
Valgañón, Pablo
Brotons, Antonio
Soriano-Paños, David
Gómez-Gardeñes, Jesús
Physics and Society
Human interactions and mobility shape epidemic dynamics by facilitating disease outbreaks and their spatial spread across regions. Traditional models often isolate commuting and random mobility as separate behaviors, focusing either on short, recurrent trips or on random, exploratory movements. Here, we propose a unified formalism that allows a smooth transition between commuting and exploratory behavior based on travel and return probabilities. We derive an analytical expression for the epidemic threshold, revealing a non-monotonic dependence on recurrence rates: while recurrence tends to lower the threshold by increasing agent concentration in high-contact hubs, it counterintuitively raises the invasion threshold in low-mobility scenarios, suggesting that allowing recurrence may foster local outbreaks while suppressing global epidemics. These results provide a comprehensive understanding of the interplay between human mobility patterns and epidemic spread, with implications for containment strategies in structured populations.
title Balancing Mobility Behaviors to avoid Global epidemics from Local Outbreaks
topic Physics and Society
url https://arxiv.org/abs/2412.07656