Synergistic driving effects of risk factors on human brucellosis in Datong City, China: A dynamic perspective from spatial heterogeneity

被引:4
作者
Shen, Li [1 ]
Sun, Ming-hao [1 ]
Ma, Wen-tao [2 ]
Hu, Qing-wu [1 ]
Zhao, Chen-xi [3 ]
Yang, Zu-rong [3 ]
Jiang, Cheng-hao [1 ]
Shao, Zhong-jun [3 ]
Liu, Kun [3 ]
机构
[1] Wuhan Univ, Sch Remote Sensing & Informat Engn, Bayi Rd 299, Wuhan 430072, Hubei, Peoples R China
[2] Datong Ctr Dis Prevent & Control, Dept Infect Dis Control & Prevent, Datong, Peoples R China
[3] Air Forc Med Univ, Sch Publ Hlth, Dept Epidemiol, Minist Educ,Key Lab Hazard Assessment & Control Sp, 169 Changlexi Rd, Xian 710032, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
HB; Bayesian spatiotemporal model; GTWR; GeoDetector; Risk factors; INFECTIOUS-DISEASES; EPIDEMIOLOGY; MODEL;
D O I
10.1016/j.scitotenv.2023.164948
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Brucellosis is a highly contagious zoonotic and systemic infectious disease caused by Brucella, which seriously affects public health and socioeconomic development worldwide. Particularly, in China accumulating eco-environmental changes and agricultural intensification have increased the expansion of human brucellosis (HB) infection. As a traditional animal husbandry area adjacent to Inner Mongolia, Datong City in northwestern China is characterized by a high HB incidence, demonstrating obvious variations in the risk pattern of HB infection in recent years. In this study, we built Bayesian spatiotemporal models to detect the transfer of high-risk clusters of HB occurrence in Datong from 2005 to 2020. Geographically and Temporally Weighted Regression and GeoDetector were employed to investigate the synergistic driving effects of multiple potential risk factors. Results confirmed an evident dynamic expansion of HB from the east to the west and south in Datong. The distribution of HB showed a negative correlation with urbanization level, economic development, population density, temperature, precipitation, and wind speed, while a positive correlation with the normalized difference vegetation index, and grassland/cropland cover areas. Especially, the local animal husbandry and related industries imposed a large influence on the spatiotemporal distribution of HB. This work strengthens the understanding of how HB spatial heterogeneity is driven by environmental factors, through which helpful insights can be provided for decision-makers to formulate and implement disease control strategies and policies for preventing the further spread of HB.
引用
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页数:9
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