Poh Karen C, Medeiros Matthew C I, Hamer Gabriel L
Department of Entomology, Texas A&M University, TAMU MS 2475, College Station, 77843 TX, USA.
Pacific Biosciences Research Center, University of Hawaii at Manoa, Honolulu, HI, USA.
Spat Spatiotemporal Epidemiol. 2020 Jun;33:100336. doi: 10.1016/j.sste.2020.100336. Epub 2020 Feb 12.
In 2012, the United States experienced one of the largest outbreaks of West Nile virus (WNV)-associated deaths, with the majority occurring in Dallas County (Co.), Texas (TX) and surrounding areas. In this study, logistic mixed models were used to identify associations between the landscape, human population, and WNV-infected Culex quinquefasciatus mosquitoes during the 2012 WNV epidemic in Dallas Co. We found increased probabilities for WNV-positive mosquitoes in north and central Dallas Co. The most significant predictors of the presence of WNV in Cx. quinquefasciatus pools were increased urbanization (based on an index composed of greater population density, lower normalized difference vegetation index, higher coverage of urban land types, and more impervious surfaces), older human populations, and lower elevation. These relationships between the landscape, sociodemographics, and risk of enzootic transmission identified regions of Dallas Co., TX with highest risk of spillover to human disease during the 2012 WNV epidemic.
2012年，美国经历了与西尼罗河病毒（WNV）相关死亡人数最多的疫情之一，大部分死亡病例发生在得克萨斯州（TX）达拉斯县（Co.）及其周边地区。在本研究中，采用逻辑混合模型来确定2012年达拉斯县WNV疫情期间景观、人口与感染WNV的致倦库蚊之间的关联。我们发现达拉斯县北部和中部地区WNV阳性蚊子的出现概率增加。致倦库蚊样本中WNV存在的最显著预测因素是城市化程度提高（基于由更高人口密度、更低归一化植被指数、更高城市土地类型覆盖率和更多不透水表面组成的指数）、老年人口以及更低海拔。景观、社会人口统计学与动物疫病传播风险之间的这些关系确定了2012年WNV疫情期间得克萨斯州达拉斯县向人类疾病溢出风险最高的区域。
