Analyzing the impact of healthcare facilities on the spread of COVID-19: A spatial autoregressive exogenous model approach

Almeira Tsanawafa, Ajeng Berliana Salsabila, Sri Purwani

Abstract


This paper investigates the relationship between healthcare facilities and the spread of COVID-19 in Indonesia using a spatial autoregressive exogenous (SAR-X) model. The study aims to understand how the availability and accessibility of healthcare facilities influence the transmission dynamics of the virus at a regional level. The analysis utilizes a comprehensive dataset on COVID-19 cases, healthcare. The findings of this study contribute to a better understanding of the role of healthcare facilities in mitigating the spread of COVID-19 in Indonesia and can be a policy decision to strengthen healthcare infrastructure and resource allocation, facility locations, and other relevant variables. The SAR-X model allows for the incorporation of exogenous factors, such as healthcare capacity, population density, and mobility patterns, in examining their impact on the spatial patterns of COVID-19 transmission.

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Published: 2023-09-12

How to Cite this Article:

Almeira Tsanawafa, Ajeng Berliana Salsabila, Sri Purwani, Analyzing the impact of healthcare facilities on the spread of COVID-19: A spatial autoregressive exogenous model approach, Commun. Math. Biol. Neurosci., 2023 (2023), Article ID 95

Copyright © 2023 Almeira Tsanawafa, Ajeng Berliana Salsabila, Sri Purwani. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Commun. Math. Biol. Neurosci.

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