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Impact of urban structure on infectious disease spreading.
Aguilar, Javier; Bassolas, Aleix; Ghoshal, Gourab; Hazarie, Surendra; Kirkley, Alec; Mazzoli, Mattia; Meloni, Sandro; Mimar, Sayat; Nicosia, Vincenzo; Ramasco, José J; Sadilek, Adam.
Afiliação
  • Aguilar J; Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, 07122, Palma de Mallorca, Spain.
  • Bassolas A; Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, 07122, Palma de Mallorca, Spain.
  • Ghoshal G; School of Mathematical Sciences, Queen Mary University of London, E1 4NS, London, UK.
  • Hazarie S; Departament d'Enginyeria Informatica i Matematiques, Universitat Rovira i Virgili, 43007, Tarragona, Spain.
  • Kirkley A; Department of Physics and Astronomy, University of Rochester, Rochester, NY, 14627, USA.
  • Mazzoli M; Department of Computer Science, University of Rochester, Rochester, NY, 14627, USA.
  • Meloni S; Department of Physics and Astronomy, University of Rochester, Rochester, NY, 14627, USA.
  • Mimar S; School of Data Science, City University of Hong Kong, 85PF Hong Kong, China.
  • Nicosia V; Department of Physics, University of Michigan, Ann Arbor, MI, 48109, USA.
  • Ramasco JJ; Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, 07122, Palma de Mallorca, Spain.
  • Sadilek A; INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, Paris, France.
Sci Rep ; 12(1): 3816, 2022 03 09.
Article em En | MEDLINE | ID: mdl-35264587
The ongoing SARS-CoV-2 pandemic has been holding the world hostage for several years now. Mobility is key to viral spreading and its restriction is the main non-pharmaceutical interventions to fight the virus expansion. Previous works have shown a connection between the structural organization of cities and the movement patterns of their residents. This puts urban centers in the focus of epidemic surveillance and interventions. Here we show that the organization of urban flows has a tremendous impact on disease spreading and on the amenability of different mitigation strategies. By studying anonymous and aggregated intra-urban flows in a variety of cities in the United States and other countries, and a combination of empirical analysis and analytical methods, we demonstrate that the response of cities to epidemic spreading can be roughly classified in two major types according to the overall organization of those flows. Hierarchical cities, where flows are concentrated primarily between mobility hotspots, are particularly vulnerable to the rapid spread of epidemics. Nevertheless, mobility restrictions in such types of cities are very effective in mitigating the spread of a virus. Conversely, in sprawled cities which present many centers of activity, the spread of an epidemic is much slower, but the response to mobility restrictions is much weaker and less effective. Investing resources on early monitoring and prompt ad-hoc interventions in more vulnerable cities may prove helpful in containing and reducing the impact of future pandemics.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Transmissíveis / Modelos Teóricos Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Transmissíveis / Modelos Teóricos Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article