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Investigating the relationships between concentrated disadvantage, place connectivity, and COVID-19 fatality in the United States over time

BACKGROUND: Concentrated disadvantaged areas have been disproportionately affected by COVID-19 outbreak in the United States (US). Meanwhile, highly connected areas may contribute to higher human movement, leading to higher COVID-19 cases and deaths. This study examined the associations between conc...

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Autores principales: Jing, Fengrui, Li, Zhenlong, Qiao, Shan, Zhang, Jiajia, Olatosi, Bankole, Li, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748905/
https://www.ncbi.nlm.nih.gov/pubmed/36517796
http://dx.doi.org/10.1186/s12889-022-14779-1
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author Jing, Fengrui
Li, Zhenlong
Qiao, Shan
Zhang, Jiajia
Olatosi, Bankole
Li, Xiaoming
author_facet Jing, Fengrui
Li, Zhenlong
Qiao, Shan
Zhang, Jiajia
Olatosi, Bankole
Li, Xiaoming
author_sort Jing, Fengrui
collection PubMed
description BACKGROUND: Concentrated disadvantaged areas have been disproportionately affected by COVID-19 outbreak in the United States (US). Meanwhile, highly connected areas may contribute to higher human movement, leading to higher COVID-19 cases and deaths. This study examined the associations between concentrated disadvantage, place connectivity, and COVID-19 fatality in the US over time. METHODS: Concentrated disadvantage was assessed based on the spatial concentration of residents with low socioeconomic status. Place connectivity was defined as the normalized number of shared Twitter users between the county and all other counties in the contiguous US in a year (Y = 2019). COVID-19 fatality was measured as the cumulative COVID-19 deaths divided by the cumulative COVID-19 cases. Using county-level (N = 3,091) COVID-19 fatality over four time periods (up to October 31, 2021), we performed mixed-effect negative binomial regressions to examine the association between concentrated disadvantage, place connectivity, and COVID-19 fatality, considering potential state-level variations. The moderation effects of county-level place connectivity and concentrated disadvantage were analyzed. Spatially lagged variables of COVID-19 fatality were added to the models to control for the effect of spatial autocorrelations in COVID-19 fatality. RESULTS: Concentrated disadvantage was significantly associated with an increased COVID-19 fatality in four time periods (p < 0.01). More importantly, moderation analysis suggested that place connectivity significantly exacerbated the harmful effect of concentrated disadvantage on COVID-19 fatality in three periods (p < 0.01), and this significant moderation effect increased over time. The moderation effects were also significant when using place connectivity data from the previous year. CONCLUSIONS: Populations living in counties with both high concentrated disadvantage and high place connectivity may be at risk of a higher COVID-19 fatality. Greater COVID-19 fatality that occurs in concentrated disadvantaged counties may be partially due to higher human movement through place connectivity. In response to COVID-19 and other future infectious disease outbreaks, policymakers are encouraged to take advantage of historical disadvantage and place connectivity data in epidemic monitoring and surveillance of the disadvantaged areas that are highly connected, as well as targeting vulnerable populations and communities for additional intervention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14779-1.
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spelling pubmed-97489052022-12-14 Investigating the relationships between concentrated disadvantage, place connectivity, and COVID-19 fatality in the United States over time Jing, Fengrui Li, Zhenlong Qiao, Shan Zhang, Jiajia Olatosi, Bankole Li, Xiaoming BMC Public Health Research BACKGROUND: Concentrated disadvantaged areas have been disproportionately affected by COVID-19 outbreak in the United States (US). Meanwhile, highly connected areas may contribute to higher human movement, leading to higher COVID-19 cases and deaths. This study examined the associations between concentrated disadvantage, place connectivity, and COVID-19 fatality in the US over time. METHODS: Concentrated disadvantage was assessed based on the spatial concentration of residents with low socioeconomic status. Place connectivity was defined as the normalized number of shared Twitter users between the county and all other counties in the contiguous US in a year (Y = 2019). COVID-19 fatality was measured as the cumulative COVID-19 deaths divided by the cumulative COVID-19 cases. Using county-level (N = 3,091) COVID-19 fatality over four time periods (up to October 31, 2021), we performed mixed-effect negative binomial regressions to examine the association between concentrated disadvantage, place connectivity, and COVID-19 fatality, considering potential state-level variations. The moderation effects of county-level place connectivity and concentrated disadvantage were analyzed. Spatially lagged variables of COVID-19 fatality were added to the models to control for the effect of spatial autocorrelations in COVID-19 fatality. RESULTS: Concentrated disadvantage was significantly associated with an increased COVID-19 fatality in four time periods (p < 0.01). More importantly, moderation analysis suggested that place connectivity significantly exacerbated the harmful effect of concentrated disadvantage on COVID-19 fatality in three periods (p < 0.01), and this significant moderation effect increased over time. The moderation effects were also significant when using place connectivity data from the previous year. CONCLUSIONS: Populations living in counties with both high concentrated disadvantage and high place connectivity may be at risk of a higher COVID-19 fatality. Greater COVID-19 fatality that occurs in concentrated disadvantaged counties may be partially due to higher human movement through place connectivity. In response to COVID-19 and other future infectious disease outbreaks, policymakers are encouraged to take advantage of historical disadvantage and place connectivity data in epidemic monitoring and surveillance of the disadvantaged areas that are highly connected, as well as targeting vulnerable populations and communities for additional intervention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14779-1. BioMed Central 2022-12-14 /pmc/articles/PMC9748905/ /pubmed/36517796 http://dx.doi.org/10.1186/s12889-022-14779-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Jing, Fengrui
Li, Zhenlong
Qiao, Shan
Zhang, Jiajia
Olatosi, Bankole
Li, Xiaoming
Investigating the relationships between concentrated disadvantage, place connectivity, and COVID-19 fatality in the United States over time
title Investigating the relationships between concentrated disadvantage, place connectivity, and COVID-19 fatality in the United States over time
title_full Investigating the relationships between concentrated disadvantage, place connectivity, and COVID-19 fatality in the United States over time
title_fullStr Investigating the relationships between concentrated disadvantage, place connectivity, and COVID-19 fatality in the United States over time
title_full_unstemmed Investigating the relationships between concentrated disadvantage, place connectivity, and COVID-19 fatality in the United States over time
title_short Investigating the relationships between concentrated disadvantage, place connectivity, and COVID-19 fatality in the United States over time
title_sort investigating the relationships between concentrated disadvantage, place connectivity, and covid-19 fatality in the united states over time
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748905/
https://www.ncbi.nlm.nih.gov/pubmed/36517796
http://dx.doi.org/10.1186/s12889-022-14779-1
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