The experience of working with mobility data in order to detect inequalities during COVID-19 pandemic
Copyright © 2021 SESPAS. All rights reserved..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:36 |
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| Enthalten in: |
Gaceta sanitaria - 36(2022), 4 vom: 26. Juli, Seite 388-391 |
| Sprache: |
Spanisch |
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| Weiterer Titel: |
La experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de COVID-19 |
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| Beteiligte Personen: |
Glodeanu, Adrián [VerfasserIn] |
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| Links: |
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| Themen: |
Coronavirus |
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| Anmerkungen: |
Date Completed 29.06.2022 Date Revised 01.09.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.gaceta.2021.04.003 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM327022523 |
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| 520 | |a 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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