Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK

We intend to tackle two under-addressed issues in access to healthcare services during the COVID-19 pandemic: first, the spatiotemporal dynamic of access during the pandemic of acute communicable disease; second, the demographic and socioeconomic access disparities. We used the two-step floating ca...

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Main Authors: Jishuo Zhang, Meifang Li
Format: Article
Language:English
Published: PAGEPress Publications 2022-11-01
Series:Geospatial Health
Subjects:
Online Access:https://geospatialhealth.net/index.php/gh/article/view/1123
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author Jishuo Zhang
Meifang Li
author_facet Jishuo Zhang
Meifang Li
author_sort Jishuo Zhang
collection DOAJ
description We intend to tackle two under-addressed issues in access to healthcare services during the COVID-19 pandemic: first, the spatiotemporal dynamic of access during the pandemic of acute communicable disease; second, the demographic and socioeconomic access disparities. We used the two-step floating catchment area (2SFCA) method to measure the spatial access to public hospitals during the second COVID-19 wave (September 28th-February 28th, 2021) in Nottinghamshire, UK. To investigate the temporal variation in access along with the development of the pandemic, we divided our study period into 11 sections and applied the 2SFCA to each of them. The results indicate that western Nottinghamshire is better than the eastern part from a spatial perspective and the north-western urban area represents the highest spatial access; temporally, the accessibility of the public hospitals generally decreased when the number of cases increased. Particular low accessibility was observed at the beginning of the pandemic when the outbreak hit the university region and its vicinities during the back-to-school season. Our disparity analysis found that i) the access of the senior population to public hospitals deviated from that of the general population, ii) the access was positively associated with socioeconomic status, and iii) all disparities were related to the urban-rural discrepancy. These findings can help to plan temporary clinics or hospitals during epidemic emergencies. More generally, they provide scientific support to pandemic-related healthcare resource allocation and policy- making, particularly for people in vulnerable areas.
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spelling doaj.art-9955e519d4934379800bbd97e23e6f512022-12-22T02:45:42ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962022-11-0117210.4081/gh.2022.1123Spatial access to public hospitals during COVID-19 in Nottinghamshire, UKJishuo Zhang0Meifang Li1School of Geography, University of Nottingham, NottinghamDepartment of Geography, Dartmouth College, Hanover We intend to tackle two under-addressed issues in access to healthcare services during the COVID-19 pandemic: first, the spatiotemporal dynamic of access during the pandemic of acute communicable disease; second, the demographic and socioeconomic access disparities. We used the two-step floating catchment area (2SFCA) method to measure the spatial access to public hospitals during the second COVID-19 wave (September 28th-February 28th, 2021) in Nottinghamshire, UK. To investigate the temporal variation in access along with the development of the pandemic, we divided our study period into 11 sections and applied the 2SFCA to each of them. The results indicate that western Nottinghamshire is better than the eastern part from a spatial perspective and the north-western urban area represents the highest spatial access; temporally, the accessibility of the public hospitals generally decreased when the number of cases increased. Particular low accessibility was observed at the beginning of the pandemic when the outbreak hit the university region and its vicinities during the back-to-school season. Our disparity analysis found that i) the access of the senior population to public hospitals deviated from that of the general population, ii) the access was positively associated with socioeconomic status, and iii) all disparities were related to the urban-rural discrepancy. These findings can help to plan temporary clinics or hospitals during epidemic emergencies. More generally, they provide scientific support to pandemic-related healthcare resource allocation and policy- making, particularly for people in vulnerable areas. https://geospatialhealth.net/index.php/gh/article/view/1123COVID-19spatial accesspublic hospitals2SFCAspatiotemporal patternUK
spellingShingle Jishuo Zhang
Meifang Li
Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK
Geospatial Health
COVID-19
spatial access
public hospitals
2SFCA
spatiotemporal pattern
UK
title Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK
title_full Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK
title_fullStr Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK
title_full_unstemmed Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK
title_short Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK
title_sort spatial access to public hospitals during covid 19 in nottinghamshire uk
topic COVID-19
spatial access
public hospitals
2SFCA
spatiotemporal pattern
UK
url https://geospatialhealth.net/index.php/gh/article/view/1123
work_keys_str_mv AT jishuozhang spatialaccesstopublichospitalsduringcovid19innottinghamshireuk
AT meifangli spatialaccesstopublichospitalsduringcovid19innottinghamshireuk