Spatiotemporal patterns and determinants of dengue at county level in China from 2005-2017

International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases
Keke LiuQiyong Liu

Abstract

To identify the high risk spatiotemporal clusters of dengue cases and explore the associated risk factors. Monthly indigenous dengue cases in 2005-2017 were aggregated at county level. Spatiotemporal cluster analysis was used to explore dengue distribution features using SaTScan9.4.4 and Arcgis10.3.0. In addition, the influential factors and potential high risk areas of dengue outbreaks were analyzed using ecological niche models in Maxent 3.3.1 software. We found a heterogeneous spatial and temporal distribution pattern of dengue cases. The identified high risk region in the primary cluster covered 13 counties in Guangdong Province and in the secondary clusters included 14 counties in Yunnan Province. Additionally, there was a nonlinear association between meteorological and environmental factors and dengue outbreaks, with 8.5%-57.1%, 6.7%-38.3% and 3.2%-40.4% contribution from annual average minimum temperature, land cover and annual average precipitation, respectively. The high risk areas of dengue outbreaks mainly are located in Guangdong and Yunnan Provinces, which are significantly shaped by environmental and meteorological factors, such as temperature, precipitation and land cover.

Citations

Feb 5, 2019·Journal of Experimental Botany·Yue WuJen Sheen
Jun 27, 2020·International Journal of Environmental Research and Public Health·Zhichao LiPeng Gong
Oct 18, 2019·International Journal of Environmental Research and Public Health·Yujuan Yue, Qiyong Liu
Jul 25, 2019·International Journal of Environmental Research and Public Health·Yebin ChenZhilu Yuan
Jan 15, 2021·Scientific Reports·Mathew V KiangCaroline O Buckee

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