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La experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de COVID-19
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SESPAS. Published by Elsevier España, S.L.U.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173483/ https://www.ncbi.nlm.nih.gov/pubmed/34154841 http://dx.doi.org/10.1016/j.gaceta.2021.04.003 |
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author | Glodeanu, Adrián Gullón, Pedro Bilal, Usama |
author_facet | Glodeanu, Adrián Gullón, Pedro Bilal, Usama |
author_sort | Glodeanu, Adrián |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8173483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SESPAS. Published by Elsevier España, S.L.U. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81734832021-06-03 La experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de COVID-19 Glodeanu, Adrián Gullón, Pedro Bilal, Usama Gac Sanit Nota Metodológica 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. SESPAS. Published by Elsevier España, S.L.U. 2022 2021-06-03 /pmc/articles/PMC8173483/ /pubmed/34154841 http://dx.doi.org/10.1016/j.gaceta.2021.04.003 Text en © 2021 SESPAS. Published by Elsevier España, S.L.U. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Nota Metodológica Glodeanu, Adrián Gullón, Pedro Bilal, Usama La experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de COVID-19 |
title | La experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de COVID-19 |
title_full | La experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de COVID-19 |
title_fullStr | La experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de COVID-19 |
title_full_unstemmed | La experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de COVID-19 |
title_short | La experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de COVID-19 |
title_sort | la experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de covid-19 |
topic | Nota Metodológica |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173483/ https://www.ncbi.nlm.nih.gov/pubmed/34154841 http://dx.doi.org/10.1016/j.gaceta.2021.04.003 |
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