Mapping the pandemic: a review of Geographical Information Systems‑based spatial modeling of Covid‑19
Journal of Public Health in Africa
| Field | Value | |
| Title | Mapping the pandemic: a review of Geographical Information Systems‑based spatial modeling of Covid‑19 | |
| Creator | Aboalyem, Mustafa S. Ismail, Mohd T. | |
| Description | 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. | |
| Publisher | AOSIS | |
| Date | 2023-11-30 | |
| Identifier | 10.4081/jphia.2023.2767 | |
| Source | Journal of Public Health in Africa; Vol 14, No 11 (2023); 15 2038-9930 2038-9922 | |
| Language | eng | |
| Relation |
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:
https://publichealthinafrica.org/index.php/jphia/article/view/39/43
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