Meu SciELO
Serviços Personalizados
Journal
Artigo
Indicadores
- Citado por SciELO
- Acessos
Links relacionados
- Citado por Google
- Similares em SciELO
- Similares em Google
Compartilhar
Gaceta Sanitaria
versão impressa ISSN 0213-9111
Resumo
GLODEANU, Adrián; GULLON, Pedro e BILAL, Usama. The experience of working with mobility data in order to detect inequalities during COVID-19 pandemic. Gac Sanit [online]. 2022, vol.36, n.4, pp.388-391. Epub 19-Dez-2022. ISSN 0213-9111. https://dx.doi.org/10.1016/j.gaceta.2021.04.003.
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.
Palavras-chave : Quarantine; Coronavirus; Socioeconomic factors; Social mobility; Urban health.