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Correlation between mobility in mass transport and mortality due to COVID-19: A comparison of Mexico City, New York, and Madrid from a data science perspective.
Vega-Villalobos, Andrea; Almanza-Ortega, Nelva Nely; Torres-Poveda, Kirvis; Pérez-Ortega, Joaquín; Barahona, Igor.
Afiliação
  • Vega-Villalobos A; Tecnológico Nacional de México/CENIDET, Cuernavaca, Morelos, México.
  • Almanza-Ortega NN; Tecnológico Nacional de México/IT de Tlalnepantla, Tlalnepantla de Baz, Estado de México, México.
  • Torres-Poveda K; Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México.
  • Pérez-Ortega J; CONACyT-Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México.
  • Barahona I; Tecnológico Nacional de México/CENIDET, Cuernavaca, Morelos, México.
PLoS One ; 17(3): e0264713, 2022.
Article em En | MEDLINE | ID: mdl-35298483
In most big cities, public transports are enclosed and crowded spaces. Therefore, they are considered as one of the most important triggers of COVID-19 spread. Most of the existing research related to the mobility of people and COVID-19 spread is focused on investigating highly frequented paths by analyzing data collected from mobile devices, which mainly refer to geo-positioning records. In contrast, this paper tackles the problem by studying mass mobility. The relations between daily mobility on public transport (subway or metro) in three big cities and mortality due to COVID-19 are investigated. Data collected for these purposes come from official sources, such as the web pages of the cities' local governments. To provide a systematic framework, we applied the IBM Foundational Methodology for Data Science to the epidemiological domain of this paper. Our analysis consists of moving averages with a moving window equal to seven days so as to avoid bias due to weekly tendencies. Among the main findings of this work are: a) New York City and Madrid show similar distribution on studied variables, which resemble a Gauss bell, in contrast to Mexico City, and b) Non-pharmaceutical interventions don't bring immediate results, and reductions to the number of deaths due to COVID are observed after a certain number of days. This paper yields partial evidence for assessing the effectiveness of public policies in mitigating the COVID-19 pandemic.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Meios de Transporte / COVID-19 Tipo de estudo: Prognostic_studies Limite: Adult / Humans País/Região como assunto: Europa / Mexico Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Meios de Transporte / COVID-19 Tipo de estudo: Prognostic_studies Limite: Adult / Humans País/Região como assunto: Europa / Mexico Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de publicação: Estados Unidos