Analysis of spatial characteristics and geographic weighted regression of tuberculosis prevalence in Kashgar, China

• DOI: 10.1016/j.pmedr.2023.102362
• Publication Date: 2023-08-04T07:43:30Z
• Authors: Xiaodie Chen; Mawlanjan Emam; Li Zhang; Ramziya Rifhat; Liping Zhang; Yanling Zheng
• Keywords: Moran's I; 11. Sustainability; 1. No poverty; R; Tuberculosis; Medicine; Geographically weighted regression; Regular Article; Spatial autocorrelation; 3. Good health

Number of cases tuberculosis (TB) was higher than that the national level in Kashgar, China. This study aimed to analyze spatial and temporal distribution TB relationship between social factors, which can provide a reference for prevention control TB. We applied autocorrelation analysis Kashgar. used geographically weighted regression (GWR) model factors. A total 100,330 Kashgar from 2016-2021 were analyzed. The number east, lower west, most elevated center. highest cumulative found Shache county. Global Moran's I ranged -0.212 -0.549, local identified four clusters. According our analysis, incidence negatively correlated among regions related causes need be analyzed depth future studies. Per capita gross domestic product (GDP), medical institutions per capita, population influenced Based on findings, we suggest some effective measures reduce risk infection, such as improving living standard, developing regional economy, distributing health resources rationally.