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Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA
BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing the coronavirus disease 2019 (COVID-19) pandemic, has infected millions of people and caused hundreds of thousands of deaths. While COVID-19 has overwhelmed healthcare resources (e.g., healthcare personnel, testing...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487451/ https://www.ncbi.nlm.nih.gov/pubmed/32928236 http://dx.doi.org/10.1186/s12942-020-00229-x |
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author | Kang, Jeon-Young Michels, Alexander Lyu, Fangzheng Wang, Shaohua Agbodo, Nelson Freeman, Vincent L. Wang, Shaowen |
author_facet | Kang, Jeon-Young Michels, Alexander Lyu, Fangzheng Wang, Shaohua Agbodo, Nelson Freeman, Vincent L. Wang, Shaowen |
author_sort | Kang, Jeon-Young |
collection | PubMed |
description | BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing the coronavirus disease 2019 (COVID-19) pandemic, has infected millions of people and caused hundreds of thousands of deaths. While COVID-19 has overwhelmed healthcare resources (e.g., healthcare personnel, testing resources, hospital beds, and ventilators) in a number of countries, limited research has been conducted to understand spatial accessibility of such resources. This study fills this gap by rapidly measuring the spatial accessibility of COVID-19 healthcare resources with a particular focus on Illinois, USA. METHOD: The rapid measurement is achieved by resolving computational intensity of an enhanced two-step floating catchment area (E2SFCA) method through a parallel computing strategy based on cyberGIS (cyber geographic information science and systems). The E2SFCA has two major steps. First, it calculates a bed-to-population ratio for each hospital location. Second, it sums these ratios for residential locations where hospital locations overlap. RESULTS: The comparison of the spatial accessibility measures for COVID-19 patients to those of population at risk identifies which geographic areas need additional healthcare resources to improve access. The results also help delineate the areas that may face a COVID-19-induced shortage of healthcare resources. The Chicagoland, particularly the southern Chicago, shows an additional need for resources. This study also identified vulnerable population residing in the areas with low spatial accessibility in Chicago. CONCLUSION: Rapidly measuring spatial accessibility of healthcare resources provides an improved understanding of how well the healthcare infrastructure is equipped to save people’s lives during the COVID-19 pandemic. The findings are relevant for policymakers and public health practitioners to allocate existing healthcare resources or distribute new resources for maximum access to health services. |
format | Online Article Text |
id | pubmed-7487451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74874512020-09-14 Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA Kang, Jeon-Young Michels, Alexander Lyu, Fangzheng Wang, Shaohua Agbodo, Nelson Freeman, Vincent L. Wang, Shaowen Int J Health Geogr Research BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing the coronavirus disease 2019 (COVID-19) pandemic, has infected millions of people and caused hundreds of thousands of deaths. While COVID-19 has overwhelmed healthcare resources (e.g., healthcare personnel, testing resources, hospital beds, and ventilators) in a number of countries, limited research has been conducted to understand spatial accessibility of such resources. This study fills this gap by rapidly measuring the spatial accessibility of COVID-19 healthcare resources with a particular focus on Illinois, USA. METHOD: The rapid measurement is achieved by resolving computational intensity of an enhanced two-step floating catchment area (E2SFCA) method through a parallel computing strategy based on cyberGIS (cyber geographic information science and systems). The E2SFCA has two major steps. First, it calculates a bed-to-population ratio for each hospital location. Second, it sums these ratios for residential locations where hospital locations overlap. RESULTS: The comparison of the spatial accessibility measures for COVID-19 patients to those of population at risk identifies which geographic areas need additional healthcare resources to improve access. The results also help delineate the areas that may face a COVID-19-induced shortage of healthcare resources. The Chicagoland, particularly the southern Chicago, shows an additional need for resources. This study also identified vulnerable population residing in the areas with low spatial accessibility in Chicago. CONCLUSION: Rapidly measuring spatial accessibility of healthcare resources provides an improved understanding of how well the healthcare infrastructure is equipped to save people’s lives during the COVID-19 pandemic. The findings are relevant for policymakers and public health practitioners to allocate existing healthcare resources or distribute new resources for maximum access to health services. BioMed Central 2020-09-14 /pmc/articles/PMC7487451/ /pubmed/32928236 http://dx.doi.org/10.1186/s12942-020-00229-x Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Kang, Jeon-Young Michels, Alexander Lyu, Fangzheng Wang, Shaohua Agbodo, Nelson Freeman, Vincent L. Wang, Shaowen Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA |
title | Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA |
title_full | Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA |
title_fullStr | Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA |
title_full_unstemmed | Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA |
title_short | Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA |
title_sort | rapidly measuring spatial accessibility of covid-19 healthcare resources: a case study of illinois, usa |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487451/ https://www.ncbi.nlm.nih.gov/pubmed/32928236 http://dx.doi.org/10.1186/s12942-020-00229-x |
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