Introduction: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 outbre...Introduction: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.Methods: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.Results: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.Conclusions: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.展开更多
What is already known about this topic?An association between prenatal heatwave exposure and the risk of preterm birth was found.However,the disparities in heatwave-related preterm birth across different climate types...What is already known about this topic?An association between prenatal heatwave exposure and the risk of preterm birth was found.However,the disparities in heatwave-related preterm birth across different climate types have not been examined.What is added by this report?This nationwide case-crossover study investigated the association between heatwave exposure and preterm birth across different Köppen-Geiger climate types.Among pregnant women residing in the arid-desertcold climate type,exposure to compound heatwaves was found to be associated with a significantly higher risk of preterm birth{adjusted odds ratios(AORs)ranged from 1.55[95%confidence interval(CI):1.21-1.97]to 2.11(95%CI:1.35-3.31)}.In contrast,among pregnant women residing in the tropical monsoonal climate type,exposure to daytime-only heatwaves was associated with an increased risk of preterm birth[AORs ranged from 1.25(95%CI:1.03-1.51)to 1.37(95%CI:1.05-1.77)].展开更多
基金Supported by the Key Program of National Natural Science Foundation of China(grant number 32090023).
文摘Introduction: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.Methods: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.Results: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.Conclusions: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.
基金Project on Mechanism-Based Precise and Integrated Strategies for Preventing and Managing Preterm Birth(2022YFC2704600,2022YFC2704605)funded by The National Key Research and Development Program of China.Public Health Issues Arising from Climate Change(grant 202046)+1 种基金funded by the Chinese Ministry of Ecology and Environment.Project on the Establishment of China-ASEAN Science and Technology Cooperation Center for Public Health(KY202101004)funded by The National Key Research and Development Program of China.
文摘What is already known about this topic?An association between prenatal heatwave exposure and the risk of preterm birth was found.However,the disparities in heatwave-related preterm birth across different climate types have not been examined.What is added by this report?This nationwide case-crossover study investigated the association between heatwave exposure and preterm birth across different Köppen-Geiger climate types.Among pregnant women residing in the arid-desertcold climate type,exposure to compound heatwaves was found to be associated with a significantly higher risk of preterm birth{adjusted odds ratios(AORs)ranged from 1.55[95%confidence interval(CI):1.21-1.97]to 2.11(95%CI:1.35-3.31)}.In contrast,among pregnant women residing in the tropical monsoonal climate type,exposure to daytime-only heatwaves was associated with an increased risk of preterm birth[AORs ranged from 1.25(95%CI:1.03-1.51)to 1.37(95%CI:1.05-1.77)].