Spatial Autocorrelation Analysis of Infectious Disease: A Case Study from Hand, Foot and Mouth Disease
Year: 2024
Type: article
Study design: Observational Study
Abstract: In order to better understand the epidemiology of the hand, foot, and mouth diseases disease, this study intends to investigate the application of the global and local Moran’s I statistic in the detection of spatial autocorrelation analysis of hand, foot, and mouth diseases during the 29th and 30th week of July 2024 in Ho Chi Minh City, Vietnam. Methods: The global and local Moran’s I statistics (LISA) were used to analyze the spatial clusters of hand, foot, and mouth disease, including spatial clusters (high-high and low-low) and spatial outliers (low-high and high-low). Results: the city’s central and northern districts had the medium prevalence of these diseases. The southern part of the city has the lowest prevalence of hand, foot, and mouth disease. The city’s west, center, and south were found to include the high-high, low-low spatial clusters, and low-high spatial outliers, respectively. Conclusions : The results of the investigation demonstrated how well LISA worked when examining the spatial clustering of diseases associated with hand, foot, and mouth syndrome.
Authors: Ngo Thi Thuy, Pham Thi Van
Institution: Phenikaa University
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4403102320