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Maximal covering location problem for nuclear medicine clinics allocation in Nigeria
Several studies demonstrate the usefulness of nuclear medicine procedures for public health problems in developing countries. Little is known about the location and accessibility of nuclear medicine facilities, thus making the assessment of their location and allocation an integral part in strengthe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088759/ http://dx.doi.org/10.1007/s41324-021-00405-6 |
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author | Taiwo, Olalekan J. Orunmuyi, Akintunde T. |
author_facet | Taiwo, Olalekan J. Orunmuyi, Akintunde T. |
author_sort | Taiwo, Olalekan J. |
collection | PubMed |
description | Several studies demonstrate the usefulness of nuclear medicine procedures for public health problems in developing countries. Little is known about the location and accessibility of nuclear medicine facilities, thus making the assessment of their location and allocation an integral part in strengthening nuclear medicine services in these countries. This paper employed the Maximal Covering Location Problem to identify the optimum numbers of University Teaching and Research Hospitals (UTRHs) that can be upgraded to provide Nuclear Medicine (NM) services to the largest number of Local Government Areas (LGAs) within a 200 km threshold drive time in Nigeria. It also identified developmental priority for the optimum UTRHs. Our analysis shows that about 26% of the LGAs are within 200 km distance from the two existing NM facilities and if NM services are restricted to only the UTRHs, 84% coverage of the LGAs can be achieved within a 200 km drive time of 11 UTRHs in Nigeria. Compared with others, Aminu Kano Teaching Hospital, Kano, Kano State should be prioritized because it consistently has between 90 and 110 LGAs within its 200 km distance. Our study identified the optimal locations for nuclear medicine facilities and offers additional theoretical insights into strengthening nuclear medicine services in developing countries. |
format | Online Article Text |
id | pubmed-8088759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-80887592021-05-03 Maximal covering location problem for nuclear medicine clinics allocation in Nigeria Taiwo, Olalekan J. Orunmuyi, Akintunde T. Spat. Inf. Res. Article Several studies demonstrate the usefulness of nuclear medicine procedures for public health problems in developing countries. Little is known about the location and accessibility of nuclear medicine facilities, thus making the assessment of their location and allocation an integral part in strengthening nuclear medicine services in these countries. This paper employed the Maximal Covering Location Problem to identify the optimum numbers of University Teaching and Research Hospitals (UTRHs) that can be upgraded to provide Nuclear Medicine (NM) services to the largest number of Local Government Areas (LGAs) within a 200 km threshold drive time in Nigeria. It also identified developmental priority for the optimum UTRHs. Our analysis shows that about 26% of the LGAs are within 200 km distance from the two existing NM facilities and if NM services are restricted to only the UTRHs, 84% coverage of the LGAs can be achieved within a 200 km drive time of 11 UTRHs in Nigeria. Compared with others, Aminu Kano Teaching Hospital, Kano, Kano State should be prioritized because it consistently has between 90 and 110 LGAs within its 200 km distance. Our study identified the optimal locations for nuclear medicine facilities and offers additional theoretical insights into strengthening nuclear medicine services in developing countries. Springer Singapore 2021-05-02 2021 /pmc/articles/PMC8088759/ http://dx.doi.org/10.1007/s41324-021-00405-6 Text en © Korean Spatial Information Society 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Taiwo, Olalekan J. Orunmuyi, Akintunde T. Maximal covering location problem for nuclear medicine clinics allocation in Nigeria |
title | Maximal covering location problem for nuclear medicine clinics allocation in Nigeria |
title_full | Maximal covering location problem for nuclear medicine clinics allocation in Nigeria |
title_fullStr | Maximal covering location problem for nuclear medicine clinics allocation in Nigeria |
title_full_unstemmed | Maximal covering location problem for nuclear medicine clinics allocation in Nigeria |
title_short | Maximal covering location problem for nuclear medicine clinics allocation in Nigeria |
title_sort | maximal covering location problem for nuclear medicine clinics allocation in nigeria |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088759/ http://dx.doi.org/10.1007/s41324-021-00405-6 |
work_keys_str_mv | AT taiwoolalekanj maximalcoveringlocationproblemfornuclearmedicineclinicsallocationinnigeria AT orunmuyiakintundet maximalcoveringlocationproblemfornuclearmedicineclinicsallocationinnigeria |