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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PAGEPress Publications
2022-11-01
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Series: | Geospatial Health |
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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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first_indexed | 2024-04-13T13:08:34Z |
format | Article |
id | doaj.art-9955e519d4934379800bbd97e23e6f51 |
institution | Directory Open Access Journal |
issn | 1827-1987 1970-7096 |
language | English |
last_indexed | 2024-04-13T13:08:34Z |
publishDate | 2022-11-01 |
publisher | PAGEPress Publications |
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series | Geospatial Health |
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 |