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Socioeconomic reorganization of communication and mobility networks in response to external shocks.
Napoli, Ludovico; Sekara, Vedran; García-Herranz, Manuel; Karsai, Márton.
Afiliación
  • Napoli L; Department of Network and Data Science, Central European University, Vienna 110 Austria.
  • Sekara V; Department of Computer Science, Information Technology, University of Copenaghen, Copenhagen 2300, Denmark.
  • García-Herranz M; Frontier Data Tech Unit, Chief Data Office, United Nations International Children's Emergency Fund, New York, NY 10017.
  • Karsai M; Department of Network and Data Science, Central European University, Vienna 110 Austria.
Proc Natl Acad Sci U S A ; 120(50): e2305285120, 2023 Dec 12.
Article en En | MEDLINE | ID: mdl-38060564
Socioeconomic segregation patterns in networks usually evolve gradually, yet they can change abruptly in response to external shocks. The recent COVID-19 pandemic and the subsequent government policies induced several interruptions in societies, potentially disadvantaging the socioeconomically most vulnerable groups. Using large-scale digital behavioral observations as a natural laboratory, here we analyze how lockdown interventions lead to the reorganization of socioeconomic segregation patterns simultaneously in communication and mobility networks in Sierra Leone. We find that while segregation in mobility clearly increased during lockdown, the social communication network reorganized into a less segregated configuration as compared to reference periods. Moreover, due to differences in adaption capacities, the effects of lockdown policies varied across socioeconomic groups, leading to different or even opposite segregation patterns between the lower and higher socioeconomic classes. Such secondary effects of interventions need to be considered for better and more equitable policies.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Segregación Social / COVID-19 Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Segregación Social / COVID-19 Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article