Mapping the pandemic: a review of Geographical Information Systems-based spatial modeling of Covid-19

Mustafa Shebani Aboalyem; Mohd Tahir Ismail

doi:10.4081/jphia.2023.2767

Mapping the pandemic: a review of Geographical Information Systems-based spatial modeling of Covid-19

J Public Health Afr. 2023 Dec 1;14(12):2767. doi: 10.4081/jphia.2023.2767. eCollection 2023 Dec 27.

Authors

Mustafa Shebani Aboalyem^{1

2}, Mohd Tahir Ismail¹

Affiliations

¹ School of Mathematical Sciences, Universiti Sains Malaysia, Gelugor, Pulau Pinang, Malaysia.
² Department of Statistics, Faculty Sciences, Misurata University, Libia.

Abstract

According to the World Health Organization (WHO), COVID-19 has caused more than 6.5 million deaths, while over 600 million people are infected. With regard to the tools and techniques of disease analysis, spatial analysis is increasingly being used to analyze the impact of COVID-19. The present review offers an assessment of research that used regional data systems to study the COVID-19 epidemic published between 2020 and 2022. The research focuses on: categories of the area, authors, methods, and procedures used by the authors and the results of their findings. This input will enable the contrast of different spatial models used for regional data systems with COVID-19. Our outcomes showed increased use of geographically weighted regression and Moran I spatial statistical tools applied to better spatial and time-based gauges. We have also found an increase in the use of local models compared to other spatial statistics models/methods.

Keywords: COVID-19; GIS modeling; Moran I statistic; global models; spatial modeling.