Academy of Military Medical Sciences State Key Laboratory of Pathogen and Biosecurity, Beijing, 100071, People's Republic of China.
Shanxi Centers for Disease Control and Prevention, Taiyuan, 030012, People's Republic of China.
Parasit Vectors. 2022 May 19;15(1):171. doi: 10.1186/s13071-022-05305-8.
In the eco-epidemiological context of Japanese encephalitis (JE), geo-environmental features influence the spatial spread of the vector (Culex tritaeniorhynchus, Giles 1901) density, vector infection, and JE cases.
In Liyi County, Shanxi Province, China, the spatial autocorrelation of mosquito vector density, vector infection indices, and JE cases were investigated at the pigsty and village scales. The map and Enhanced Thematic Mapper (ETM) remote sensing databases on township JE cases and geo-environmental features were combined in a Geographic Information System (GIS), and the connections among these variables were analyzed with regression and spatial analyses.
At the pigsty level, the vector density but not the infection index of the vector was spatially autocorrelated. For the pigsty vector density, the cotton field area was positively related, whereas the road length and the distance between pigsties and gullies were negatively related. In addition, the vector infection index was correlated with the pigsty vector density (PVD) and the number of pigs. At the village level, the vector density, vector infection index, and number of JE cases were not spatially autocorrelated. In the study area, the geo-environmental features, vector density, vector infection index, and JE case number comprised the Geo-Environment-Vector-JE (GEVJ) intercorrelation net system. In this system, pig abundance and cotton area were positive factors influencing the vector density first. Second, the infection index was primarily influenced by the vector density. Lastly, the JE case number was determined by the vector infection index and the wheat area.
This study provided quantitative associations among geo-environmental features, vectors, and the incidence of JE in study sties, one typical northern Chinese JE epidemiological area without rice cultivation. The results highlighted the importance of using a diverse range of environmental management methods to control mosquito disease vectors and provided useful information for improving the control of vector mosquitoes and reducing the incidence of JE in the northern Chinese agricultural context.
在日本脑炎(JE)的生态流行病学背景下,地理环境特征影响媒介(三带喙库蚊,Giles 1901)密度、媒介感染和 JE 病例的空间传播。
在中国山西省黎城县,在猪圈和村庄尺度上调查了蚊子媒介密度、媒介感染指数和 JE 病例的空间自相关。将乡镇 JE 病例和地理环境特征的地图和增强型专题制图仪(ETM)遥感数据库结合到地理信息系统(GIS)中,并利用回归和空间分析方法分析这些变量之间的关系。
在猪圈水平上,媒介密度而非媒介感染指数具有空间自相关性。对于猪圈媒介密度,棉田面积呈正相关,而道路长度和猪圈与沟渠之间的距离呈负相关。此外,媒介感染指数与猪圈媒介密度(PVD)和猪的数量相关。在村庄水平上,媒介密度、媒介感染指数和 JE 病例数没有空间自相关性。在研究区域,地理环境特征、媒介密度、媒介感染指数和 JE 病例数构成了地理环境-媒介-JE(GEVJ)互相关联网络系统。在该系统中,猪的丰度和棉田面积是影响媒介密度的积极因素。其次,感染指数主要受媒介密度的影响。最后,JE 病例数由媒介感染指数和小麦面积决定。
本研究提供了在无水稻种植的典型中国北方 JE 流行病学区域的研究点中地理环境特征、媒介和 JE 发病率之间的定量关联。结果强调了使用多种环境管理方法控制蚊虫病媒的重要性,并为改善中国北方农业背景下的媒介蚊虫控制和降低 JE 发病率提供了有用信息。