Spatial distribution of Japanese encephalitis cases and correlated geo-environmental factors in southern and northern counties of China

Mei-De Liu; Heng-Duan Zhang; Yi Huang; Jing-Xia Cheng; Chun-Xiao Li; Tong-Yan Zhao

doi:10.1016/j.actatropica.2024.107246

Spatial distribution of Japanese encephalitis cases and correlated geo-environmental factors in southern and northern counties of China

Acta Trop. 2024 May 8:255:107246. doi: 10.1016/j.actatropica.2024.107246. Online ahead of print.

Authors

Mei-De Liu¹, Heng-Duan Zhang¹, Yi Huang², Jing-Xia Cheng³, Chun-Xiao Li¹, Tong-Yan Zhao⁴

Affiliations

¹ State Key Laboratory of Pathogens and Biosecurity, Beijing 100071, China.
² Hunan Center for Disease Control and Prevention, Changsha 410005, China.
³ Shanxi Center for Disease Control and Prevention, Taiyuan 030012, China.
⁴ State Key Laboratory of Pathogens and Biosecurity, Beijing 100071, China. Electronic address: tongyanzhao@126.com.

PMID: 38729328
DOI: 10.1016/j.actatropica.2024.107246

Abstract

Japanese encephalitis (JE) is a mosquito-borne disease with a spatial distribution that is linked to geo-environmental factors. The spatial distribution of JE cases and correlated geo-environmental factors were investigated in two critical counties in southern and northern China. Based on maps, enhanced thematic mapper (ETM) remote sensing datasets from Landsat and spatial datasets of JE cases, spatial distribution and spatial cluster analyses of JE cases at the village scale were performed by using the standard deviational ellipse and Ripleys K-function. Global and regional spatial cluster analyses of JE cases were also performed by using Moran's index. Regression analysis was used to analyze the relationships between geo-environmental characteristics and the risk of JE cases. At the study sites, the JE cases were not spatially clustered at the village or district (global) level, whereas there was a spatial cluster at the district (local) level. Diversity-related features for JE patients at the district and village levels were detected at two sites. In the southern counties, the distance of a village from a road was related to the village-level JE risk (OR: 0.530, 95 CI: 0.297-0.947, P = 0.032), and the number of township-level JE cases was linked to the distance of the district center from the road (R =-0.467, P = 0.025) and road length (R = 0.516, P = 0.012) in the administrative area. In northern China, the modified normalized difference water index (MNDWI) in the 5 km buffer around the village was related to village-level JE risk (OR: 0.702, 95% CI: 0.524-0.940, P = 0.018), and the number of township-level JE cases was related to the MNDWI in the administrative region (R =-0.522, P = 0.038). This study elucidates the spatial distribution patterns of JE cases and risk, as well as correlated geo-environmental features, at various spatial scales. This study will significantly assist the JE control efforts of the local Centers for Disease Control and Prevention (CDC), which is the base-level CDC, particularly concerning the allocation of medicine and medical staff, the development of immunological plans, and the allocation of pesticides and other control measures for the mosquito vectors of JE.

Keywords: Geo-environmental features; Japanese encephalitis; Spatial distribution; Township.