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[The experience of working with mobility data in order to detect inequalities during COVID-19 pandemic]. / La experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de COVID-19.
Glodeanu, Adrián; Gullón, Pedro; Bilal, Usama.
  • Glodeanu A; Programa de Doctorado en Geografía, Facultad de Geografía e Historia, Universidad Complutense de Madrid, Madrid, España. Electronic address: claudiug@ucm.es.
  • Gullón P; Grupo de Investigación en Salud Pública y Epidemiología, Universidad de Alcalá, Madrid, España; Centre for Urban Research, RMIT University, Melbourne, Australia.
  • Bilal U; Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, United States of America; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, PA, United States of America.
Gac Sanit ; 36(4): 388-391, 2022.
Article in Spanish | MEDLINE | ID: covidwho-1492025
ABSTRACT
The COVID-19 pandemic has been one of the most important health crises of the last century in Spain and worldwide. Mobility reduction interventions have been among the most common public health measures implemented to mitigate the pandemic through reducing community transmission. These measures may have an unequal impact across the population. We present a methodology based on the use of publicly available data from the Instituto Nacional de Estadística and the Sociedad Espanola de Epidemiología, to study socioeconomic inequalities in mobility during the pandemic. We describe an application of this methodology for a province (Asturias), showing socioeconomic rural-urban patterns. The use of geographic information system tools can provide useful evidence to explore the social determinants of health at multiple levels.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Europa Language: Spanish Journal: Gac Sanit Journal subject: Public Health Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Europa Language: Spanish Journal: Gac Sanit Journal subject: Public Health Year: 2022 Document Type: Article