Maximal Covering Location Problem (MCLP) for the identification of potential optimal COVID-19 testing facility sites in Nigeria

The identification of University Teaching and Research Hospitals (UTRHs) for siting additional National Center for Disease Control Molecular Laboratories (NCDCMLs) for effective coverage of Local Government Areas (LGAs) during the COVID-19 pandemic was accomplished using the Maximal Covering Locatio...

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Published in:African geographical review 2021-10, Vol.40 (4), p.395-411
Main Author: Taiwo, Olalekan John
Format: Article
Language:English
Subjects:
Geographic Information System (GIS)
Maximal Covering Location Problem (MCLP)
National Center for Disease Control Molecular Laboratories (NCDCMLs)
Network analysis
University Teaching and Research Hospitals (UTRHs)
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description The identification of University Teaching and Research Hospitals (UTRHs) for siting additional National Center for Disease Control Molecular Laboratories (NCDCMLs) for effective coverage of Local Government Areas (LGAs) during the COVID-19 pandemic was accomplished using the Maximal Covering Location Problem (MCLP) method. The maximum number of NCDCMLs required together with the maximum drive time to these identified optimal NCDCMLs were estimated. The NCDCMLs are skewed in favor of the southwestern Nigeria and there is a significant positive correlation between the number of NCDCMLs and the reported COVID-19 infections (r= 0.860, p
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source Taylor and Francis Social Sciences and Humanities Collection
subjects Geographic Information System (GIS)
Maximal Covering Location Problem (MCLP)
National Center for Disease Control Molecular Laboratories (NCDCMLs)
Network analysis
University Teaching and Research Hospitals (UTRHs)
title Maximal Covering Location Problem (MCLP) for the identification of potential optimal COVID-19 testing facility sites in Nigeria
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