Heliyon (Nov 2024)

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

  • Mei-DE. Liu,
  • Qiu-Hong Li,
  • Ting Liu,
  • Xiu-Yan Xu,
  • Junqi Ge,
  • Tong-Yan Shen,
  • Yun-BO. Wang,
  • Xian-Feng Zhao,
  • Xiao-Peng Zeng,
  • Yong Zhang,
  • Ying Tong

Journal volume & issue
Vol. 10, no. 21
p. e39948

Abstract

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The Culex tritaeniorhynchus 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 Cx. tritaeniorhynchus. 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. In the scenic area, the total value of light index within buffer zones of 100 m (LT_100) and the total value of NDVI index within buffer zones of 800 m (NDVI_800) determined whether there was a positive or negative vector in the trapping sites, and the total value of NDVI index within buffer zones of 100 m (NDVI_100) and LT_100 was linked to the density of the vector. Our findings provide better insight into the spatio-temporal distribution pattern, associated environmental risk factors, and health risk of vector in Beijing. Based on the results here, we could predict the risk of JE and create and implement location-specific JE prevention and control measures to prevent future risks during the urbanization advancement of Beijing.

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