Review Article
Year: 2023 | Month: July-September | Volume: 8 | Issue: 3 | Pages: 31-36
DOI: https://doi.org/10.52403/ijshr.20230306
A Review of Applications of Spatial Statistics in the Study of COVID-19 Pandemic in Vietnam
Thi-Quynh Nguyen
Faculty of Pharmacy and Nursing, East Asia University of Technology, Trinh Van Bo, Nam Tu Liem, Hanoi, Vietnam, 129630
ABSTRACT
The spread of the 2019 novel coronavirus disease (COVID-19) in Wuhan city, China, caused by the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), spreads rapidly across the world and has negatively affected almost all countries. The Covid-19 pandemic has engulfed the world with a rapid, unexpected, and far-reaching global crisis. In the study of COVID-19 pandemic, spatial statistics have played an important role in many aspects, especially in the study of the clustering of COVID-19 pandemic. This paper summarises 24 scientific papers on applications of spatial statistics including the local Moran’s I and Getis-Ord’s statistics on studies of the COVID-19 pandemic in Vietnam. The findings of this study provide insight into not only how to apply spatial clustring in spatial statistics to analyze the clustering of the COVID-19 pandemic, but also preventing the COVID-19 spread across the world.
Keywords: Applications, Spatial statistics, spatial clustering, local Moran’s I and Getis-Ord’s G statistics, the COVID-19 pandemic.