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Article: Social Vulnerability and Compliance With World Health Organization Advice on Protective Behaviors Against COVID-19 in African and Asia Pacific Countries: Factor Analysis to Develop a Social Vulnerability Index

TitleSocial Vulnerability and Compliance With World Health Organization Advice on Protective Behaviors Against COVID-19 in African and Asia Pacific Countries: Factor Analysis to Develop a Social Vulnerability Index
Authors
KeywordsAfrica
African countries
baseline data
behaviour
behaviours
communication
COVID-19
Factor analysis
health risk perception
linear regression
media use
Omicron
polychoric
precautionary
predict
predictability
prediction
predicts
preventive
propensity
protective
protective behavior
social vulnerability
social vulnerability Index
sociodemographic
socioeconomic
varimax rotation
Western countries
Western Pacific
Issue Date13-Aug-2024
PublisherJMIR Publications
Citation
JMIR Public Health and Surveillance, 2024, v. 10 How to Cite?
Abstract

Background: COVID-19 protective behaviors are key interventions advised by the World Health Organization (WHO) to prevent COVID-19 transmission. However, achieving compliance with this advice is often challenging, particularly among socially vulnerable groups. Objective: We developed a social vulnerability index (SVI) to predict individuals’ propensity to adhere to the WHO advice on protective behaviors against COVID-19 and identify changes in social vulnerability as Omicron evolved in African countries between January 2022 and August 2022 and Asia Pacific countries between August 2021 and June 2022. Methods: In African countries, baseline data were collected from 14 countries (n=15,375) during the first Omicron wave, and follow-up data were collected from 7 countries (n=7179) after the wave. In Asia Pacific countries, baseline data were collected from 14 countries (n=12,866) before the first Omicron wave, and follow-up data were collected from 9 countries (n=8737) after the wave. Countries’ socioeconomic and health profiles were retrieved from relevant databases. To construct the SVI for each of the 4 data sets, variables associated with COVID-19 protective behaviors were included in a factor analysis using polychoric correlation with varimax rotation. Influential factors were adjusted for cardinality, summed, and min-max normalized from 0 to 1 (most to least vulnerable). Scores for compliance with the WHO advice were calculated using individuals’ self-reported protective behaviors against COVID-19. Multiple linear regression analyses were used to assess the associations between the SVI and scores for compliance to WHO advice to validate the index. Results: In Africa, factors contributing to social vulnerability included literacy and media use, trust in health care workers and government, and country income and infrastructure. In Asia Pacific, social vulnerability was determined by literacy, country income and infrastructure, and population density. The index was associated with compliance with the WHO advice in both time points in African countries but only during the follow-up period in Asia Pacific countries. At baseline, the index values in African countries ranged from 0.00 to 0.31 in 13 countries, with 1 country having an index value of 1.00. The index values in Asia Pacific countries ranged from 0.00 to 0.23 in 12 countries, with 2 countries having index values of 0.79 and 1.00. During the follow-up phase, the index values decreased in 6 of 7 African countries and the 2 most vulnerable Asia Pacific countries. The index values of the least vulnerable countries remained unchanged in both regions. Conclusions: In both regions, significant inequalities in social vulnerability to compliance with WHO advice were observed at baseline, and the gaps became larger after the first Omicron wave. Understanding the dimensions that influence social vulnerability to protective behaviors against COVID-19 may underpin targeted interventions to enhance compliance with WHO recommendations and mitigate the impact of future pandemics among vulnerable groups.


Persistent Identifierhttp://hdl.handle.net/10722/353473
ISSN
2023 Impact Factor: 3.5
2023 SCImago Journal Rankings: 1.421
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPongutta, Suladda-
dc.contributor.authorTangcharoensathien, Viroj-
dc.contributor.authorLeung, Kathy-
dc.contributor.authorLarson, Heidi J.-
dc.contributor.authorLin, Leesa-
dc.date.accessioned2025-01-18T00:35:18Z-
dc.date.available2025-01-18T00:35:18Z-
dc.date.issued2024-08-13-
dc.identifier.citationJMIR Public Health and Surveillance, 2024, v. 10-
dc.identifier.issn2369-2960-
dc.identifier.urihttp://hdl.handle.net/10722/353473-
dc.description.abstract<p>Background: COVID-19 protective behaviors are key interventions advised by the World Health Organization (WHO) to prevent COVID-19 transmission. However, achieving compliance with this advice is often challenging, particularly among socially vulnerable groups. Objective: We developed a social vulnerability index (SVI) to predict individuals’ propensity to adhere to the WHO advice on protective behaviors against COVID-19 and identify changes in social vulnerability as Omicron evolved in African countries between January 2022 and August 2022 and Asia Pacific countries between August 2021 and June 2022. Methods: In African countries, baseline data were collected from 14 countries (n=15,375) during the first Omicron wave, and follow-up data were collected from 7 countries (n=7179) after the wave. In Asia Pacific countries, baseline data were collected from 14 countries (n=12,866) before the first Omicron wave, and follow-up data were collected from 9 countries (n=8737) after the wave. Countries’ socioeconomic and health profiles were retrieved from relevant databases. To construct the SVI for each of the 4 data sets, variables associated with COVID-19 protective behaviors were included in a factor analysis using polychoric correlation with varimax rotation. Influential factors were adjusted for cardinality, summed, and min-max normalized from 0 to 1 (most to least vulnerable). Scores for compliance with the WHO advice were calculated using individuals’ self-reported protective behaviors against COVID-19. Multiple linear regression analyses were used to assess the associations between the SVI and scores for compliance to WHO advice to validate the index. Results: In Africa, factors contributing to social vulnerability included literacy and media use, trust in health care workers and government, and country income and infrastructure. In Asia Pacific, social vulnerability was determined by literacy, country income and infrastructure, and population density. The index was associated with compliance with the WHO advice in both time points in African countries but only during the follow-up period in Asia Pacific countries. At baseline, the index values in African countries ranged from 0.00 to 0.31 in 13 countries, with 1 country having an index value of 1.00. The index values in Asia Pacific countries ranged from 0.00 to 0.23 in 12 countries, with 2 countries having index values of 0.79 and 1.00. During the follow-up phase, the index values decreased in 6 of 7 African countries and the 2 most vulnerable Asia Pacific countries. The index values of the least vulnerable countries remained unchanged in both regions. Conclusions: In both regions, significant inequalities in social vulnerability to compliance with WHO advice were observed at baseline, and the gaps became larger after the first Omicron wave. Understanding the dimensions that influence social vulnerability to protective behaviors against COVID-19 may underpin targeted interventions to enhance compliance with WHO recommendations and mitigate the impact of future pandemics among vulnerable groups.</p>-
dc.languageeng-
dc.publisherJMIR Publications-
dc.relation.ispartofJMIR Public Health and Surveillance-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAfrica-
dc.subjectAfrican countries-
dc.subjectbaseline data-
dc.subjectbehaviour-
dc.subjectbehaviours-
dc.subjectcommunication-
dc.subjectCOVID-19-
dc.subjectFactor analysis-
dc.subjecthealth risk perception-
dc.subjectlinear regression-
dc.subjectmedia use-
dc.subjectOmicron-
dc.subjectpolychoric-
dc.subjectprecautionary-
dc.subjectpredict-
dc.subjectpredictability-
dc.subjectprediction-
dc.subjectpredicts-
dc.subjectpreventive-
dc.subjectpropensity-
dc.subjectprotective-
dc.subjectprotective behavior-
dc.subjectsocial vulnerability-
dc.subjectsocial vulnerability Index-
dc.subjectsociodemographic-
dc.subjectsocioeconomic-
dc.subjectvarimax rotation-
dc.subjectWestern countries-
dc.subjectWestern Pacific-
dc.titleSocial Vulnerability and Compliance With World Health Organization Advice on Protective Behaviors Against COVID-19 in African and Asia Pacific Countries: Factor Analysis to Develop a Social Vulnerability Index -
dc.typeArticle-
dc.identifier.doi10.2196/54383-
dc.identifier.pmid39137034-
dc.identifier.scopuseid_2-s2.0-85201253655-
dc.identifier.volume10-
dc.identifier.eissn2369-2960-
dc.identifier.isiWOS:001333292200009-
dc.identifier.issnl2369-2960-

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