PDF(Pubmed)
Abstract：
UNASSIGNED: Plague is a significant global infectious disease, its spread is linked to host and flea populations. Meteorological conditions can impact flea populations and host densities, hence influencing plague outbreaks. Investigating the connection between meteorological factors, flea populations, and rodent densities in Inner Mongolia\'s natural plague foci can aid in predicting and managing plague outbreaks.
UNASSIGNED: Monthly data on flea index, rodent density, meteorological factors, and normalized difference vegetation index (NDVI) were collected for the study area. Generalized additive modeling (GAM) was used to analyze the non-linear and lag effects of meteorological factors on flea index and rodent density. Structural equation modeling (SEM) was employed to investigate the relationships among meteorological factors, NDVI, flea index, and rodent density.
UNASSIGNED: GAM analysis revealed that temperature, precipitation, relative humidity, and NDVI had significant linear, non-linear, and time-lagged impacts on the density of Mongolian gerbils and the flea index. SEM analysis indicated that meteorological factors could directly influence the density and flea index of Mongolian gerbils, or indirectly impact NDVI, subsequently influencing gerbil density and the flea index.
UNASSIGNED: Meteorological factors primarily influence gerbil density and flea index indirectly by affecting NDVI and the relationship between flea index and gerbil density. This study offers additional support for the significance of meteorological factors and NDVI in influencing the vector-rodent system, offering valuable insights for predicting and managing plague outbreaks.
UNASSIGNED: Monthly data on flea index, rodent density, meteorological factors, and normalized difference vegetation index (NDVI) were collected for the study area. Generalized additive modeling (GAM) was used to analyze the non-linear and lag effects of meteorological factors on flea index and rodent density. Structural equation modeling (SEM) was employed to investigate the relationships among meteorological factors, NDVI, flea index, and rodent density.
UNASSIGNED: GAM analysis revealed that temperature, precipitation, relative humidity, and NDVI had significant linear, non-linear, and time-lagged impacts on the density of Mongolian gerbils and the flea index. SEM analysis indicated that meteorological factors could directly influence the density and flea index of Mongolian gerbils, or indirectly impact NDVI, subsequently influencing gerbil density and the flea index.
UNASSIGNED: Meteorological factors primarily influence gerbil density and flea index indirectly by affecting NDVI and the relationship between flea index and gerbil density. This study offers additional support for the significance of meteorological factors and NDVI in influencing the vector-rodent system, offering valuable insights for predicting and managing plague outbreaks.
摘要：
■鼠疫是一种重要的全球性传染病，它的传播与宿主和跳蚤种群有关。气象条件会影响跳蚤种群和寄主密度，从而影响鼠疫的爆发。调查气象因素之间的联系，跳蚤种群,内蒙古自然鼠疫疫源地的啮齿动物密度可以帮助预测和管理鼠疫的暴发。
■跳蚤指数的月度数据，啮齿动物密度,气象因素,并收集了研究区的归一化植被指数（NDVI）。采用广义加法模型(GAM)分析了气象因素对跳蚤指数和啮齿动物密度的非线性和滞后效应。采用结构方程模型(SEM)研究了气象因素之间的关系，NDVI,跳蚤索引,和啮齿动物密度。
■GAM分析表明，温度，降水,相对湿度,NDVI具有显著的线性，非线性，以及对蒙古沙鼠密度和跳蚤指数的时滞影响。SEM分析表明，气象因素可以直接影响蒙古沙鼠的密度和跳蚤指数。或间接影响NDVI，随后影响沙鼠密度和跳蚤指数。
■气象因素主要通过影响NDVI以及跳蚤指数与沙鼠密度的关系间接影响沙鼠密度和跳蚤指数。这项研究为气象因素和NDVI在影响媒介啮齿动物系统中的重要性提供了额外的支持，为预测和管理鼠疫疫情提供有价值的见解。
■跳蚤指数的月度数据，啮齿动物密度,气象因素,并收集了研究区的归一化植被指数（NDVI）。采用广义加法模型(GAM)分析了气象因素对跳蚤指数和啮齿动物密度的非线性和滞后效应。采用结构方程模型(SEM)研究了气象因素之间的关系，NDVI,跳蚤索引,和啮齿动物密度。
■GAM分析表明，温度，降水,相对湿度,NDVI具有显著的线性，非线性，以及对蒙古沙鼠密度和跳蚤指数的时滞影响。SEM分析表明，气象因素可以直接影响蒙古沙鼠的密度和跳蚤指数。或间接影响NDVI，随后影响沙鼠密度和跳蚤指数。
■气象因素主要通过影响NDVI以及跳蚤指数与沙鼠密度的关系间接影响沙鼠密度和跳蚤指数。这项研究为气象因素和NDVI在影响媒介啮齿动物系统中的重要性提供了额外的支持，为预测和管理鼠疫疫情提供有价值的见解。
