Autor según el artículo: Hazarie, Surendra; Soriano-Panos, David; Arenas, Alex; Gomez-Gardenes, Jesus; Ghoshal, Gourab;

Departamento: Enginyeria Informàtica i Matemàtiques

Autor/es de la URV: Arenas Moreno, Alejandro

Palabras clave: Urban transportation Population statistics Population dynamics Population distribution Population densities Optimal control systems Optimal control strategy Networks Multiscale Mobility pattern Mitigation strategy Impact High population density Epidemiology Epidemic spreading Driven Dense urban areas Data-driven approach Covid-19 Complex

Resumen: The increasing agglomeration of people in dense urban areas coupled with the existence of efficient modes of transportation connecting such centers, make cities particularly vulnerable to the spread of epidemics. Here we develop a data-driven approach combines with a meta-population modeling to capture the interplay between population density, mobility and epidemic spreading. We study 163 cities, chosen from four different continents, and report a global trend where the epidemic risk induced by human mobility increases consistently in those cities where mobility flows are predominantly between high population density centers. We apply our framework to the spread of SARS-CoV-2 in the United States, providing a plausible explanation for the observed heterogeneity in the spreading process across cities. Based on this insight, we propose realistic mitigation strategies (less severe than lockdowns), based on modifying the mobility in cities. Our results suggest that an optimal control strategy involves an asymmetric policy that restricts flows entering the most vulnerable areas but allowing residents to continue their usual mobility patterns.The evolution of epidemic outbreaks in urban settings is known to stem from the interplay between demographic, structural, and economical characteristics. Here, the authors combine a data driven approach with meta-population modelling to show that the epidemic vulnerability of cities hinges on the morphology of human flows, and propose how a city's mobility backbone could be modified to minimize the epidemic risk.

Áreas temáticas: Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all) General physics and astronomy Ciencias sociales

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

Direcció de correo del autor: alexandre.arenas@urv.cat

Identificador del autor: 0000-0003-0937-0334

Fecha de alta del registro: 2023-02-26

Volumen de revista: 4

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://www.nature.com/articles/s42005-021-00679-0

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: Communications Physics. 4 (1):

Referencia de l'ítem segons les normes APA: Hazarie, Surendra; Soriano-Panos, David; Arenas, Alex; Gomez-Gardenes, Jesus; Ghoshal, Gourab; (2021). Interplay between population density and mobility in determining the spread of epidemics in cities. Communications Physics, 4(1), -. DOI: 10.1038/s42005-021-00679-0

DOI del artículo: 10.1038/s42005-021-00679-0

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2021

Tipo de publicación: Journal Publications