Spatiotemporal distribution, environmental correlation and health risk analysis of (Diptera: Culicidae) in Beijing, China.

The Giles, 1901 (Diptera: Culicidae) is major vector of Japanese encephalitis (JE) in China, and this study aimed to uncover the vector's spatiotemporal distribution and environmental correlation in Beijing. In study area, the Remote Sensing (RS), Global Position System (GPS), and Geographic Information System (GPS) were used to clarify the distribution characteristics of vector on spatial and temporal scales, and regressions analysis of cross-sectional study was performed to detect the environmental factors linked with the density and presence of . In study area, the scenic area was the major environmental area for breeding of the vector, August was the primary peak month, the new urban development area (NUDA) was major distribution subarea of Beijing, and the vector could be detected throughout the subarea of Beijing from June to September.

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

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.

Spatial statistical and environmental correlation analyses on vector density, vector infection index and Japanese encephalitis cases at the village and pigsty levels in Liyi County, Shanxi Province, China.

Background: 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.

Methods: 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.