Modelling Accessibility to Primary Healthcare Facilities in Argungu LGA: Using Multiscale Geographically Weighted Regression (MSGWR) Approach

Abstract

This study uses socioeconomic and demographic data to demonstrate the value of a novel multidimensional approach to healthcare accessibility. The optimum location for healthcare facilities in relation to demand areas was determined using location-allocation models and local multiscale geographically weighted regression (MGWR) to explore spatially non-stationary relationships. The result shows that the potential accessibility of a community to primary healthcare depends on the geographic and socioeconomic characteristics of various places. The results of this study may be used to inform policy planning and decision-making for increasing accessibility to healthcare services, particularly in rural areas for achieving the Sustainable Development Goals (SDGs).

Authors and Affiliations

Usman Lawal Gulma,Saad Ibrahim,Garba Bala

Keywords

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  • EP ID EP712925
  • DOI 10.47191/ijmra/v5-i12-40
  • Views 85
  • Downloads 0

How To Cite

Usman Lawal Gulma, Saad Ibrahim, Garba Bala (2022). Modelling Accessibility to Primary Healthcare Facilities in Argungu LGA: Using Multiscale Geographically Weighted Regression (MSGWR) Approach. International Journal of Multidisciplinary Research and Analysis, 5(12), -. https://europub.co.uk/articles/-A-712925