The experience of working with mobility data in order to detect inequalities during COVID-19 pandemic

Adrián Glodeanu; Pedro Gullón; Usama Bilal

doi:10.1016/j.gaceta.2021.04.003

The experience of working with mobility data in order to detect inequalities during COVID-19 pandemic

Adrián Glodeanu^*
, Pedro Gullón
, Usama Bilal

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

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.

Translated title of the contribution	La experiencia del trabajo con datos de movilidad para detectar desigualdades durante la pandemia de COVID-19
Original language	English
Pages (from-to)	388-391
Number of pages	4
Journal	Gaceta Sanitaria
Volume	36
Issue number	4
DOIs	https://doi.org/10.1016/j.gaceta.2021.04.003
Publication status	Published - 1 Jul 2022
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 10 Reduced Inequalities

Keywords

Coronavirus
Quarantine
Social mobility
Socioeconomic factors
Urban health

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10.1016/j.gaceta.2021.04.003

Cite this

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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 Estad{\'i}stica and the Sociedad Espanola de Epidemiolog{\'i}a, 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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AU - Gullón, Pedro

AU - Bilal, Usama

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AB - 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.

KW - Coronavirus

KW - Quarantine

KW - Social mobility

KW - Socioeconomic factors

KW - Urban health

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AN - SCOPUS:85108283274

SN - 0213-9111

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JO - Gaceta Sanitaria

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ER -

The experience of working with mobility data in order to detect inequalities during COVID-19 pandemic

Abstract

UN SDGs

Keywords

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