医疗设施对COVID-19传播的影响分析:一种空间自回归外生模型方法

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/8087

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

: 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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来源期刊

Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.10

自引率

15.40%

发文量

期刊介绍： Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.