ABSTRACT
Objective To investigate the spatial distribution patterns and changing tendency of reported echinococcosis patients in Inner Mongolia Autonomous Region from 2013 to 2018, so as to provide the evidence for the management of echinococcosis in high-risk areas. Methods All data pertaining to echinococcosis patients in Inner Mongolia Autonomous Region were captured from the National Notifiable Communicable Disease Reporting System from 2013 to 2018 and analyzed using a spatial epidemiological method. Results The incidence of reported echinococcosis was 0.22 to 0.41 per 100 000 in Inner Mongolia Autonomous Region from 2013 to 2018, and the number of banner reporting echinococcosis patients increased from 24 in 2013 to 39 in 2018. The highly prevalent areas of echinococcosis were mainly concentrated in West Ujimqin Banner (the highest incidence, 19.23 per 100 000), East Ujimqin Banner (the highest incidence, 12.93 per 100 000) and New Barag Right Banner (the highest incidence, 11.66 per 100 000). Three-dimensional trend analysis showed that the areas with high incidence of reported echinococcosis were mainly located in central by eastern parts of Inner Mongolia Autonomous Region. There was a positive spatial autocorrelation in the number of echinococcosis patients, and the cases appeared a clustering distribution (Moran’s I > 0, P < 0.05), with “high-high” and “low-high” regions. Conclusion The reported echinococcosis patients show a spatial aggregation in Inner Mongolia Autonomous Region, and the hotspot areas are mainly concentrated in Xilingol League and Chifeng City, in which targeted control interventions for Inner Mongolia Autonomous Region are recommended to be intensified.
ABSTRACT
Objective To investigate the factors influencing the prevalence of echinococciasis in Gansu Province.Methods With the method of stratified random sampling,all the administrative villages in pastoral areas,half pastoral areas,agriculture and urban areas in the 72 counties in Gansu Province were selected;according to the layers of the population of the county population proportion calculated,the layer investigation numbers were determined,and a total of 16 administrative villages were selected in each county.In the 16 administrative villages,more than 200 people of permanent residents were surveyed in each village (shortage was made up from a nearby village),at least 3 200 people were investigated in a county.By using the combined method of inquiry and field observation,natural factors,such as drinking water,farming and animal husbandry production data were surveyed.All data were analyzed using SPSS 19.0 statistical software.Unauy linear and multiple linear regression analysis of influencing factors and the relationship between the prevalence were analyzed.Results Unary linear regression analysis showed that longitudes,latitudes,altitudes,average annual temperature,annual rainfalls,secondary industries,animal husbandry towns,drinking water sources,the number of epidemic towns,epidemic villages,per capita net incomes in animal husbandry regions,the total number of livestock and the number of sheep were factors influencing the prevalence of echinococciasis (F =4.705,P ＜0.05).Latitude,altitude,animal husbandry towns,the number of epidemic towns,epidemic villages,per capita net incomes in animal husbandry regions,the total number of livestock and the number of sheep and the prevalence of echinococciasis was positively correlated (r =0.282,0.285,0.387,0.508,0.540,0.317,0.475,0.594,all P ＜0.05);longitude,average annual temperature,annual rainfall,secondary industries,drinking water sources and the prevalence of echinococciasis was negatively correlated (r =-0.311,-0.244,-0.244,-0.389,-0.311,all P ＜0.05).Multiple linear regression analysis showed that differences of interactions of annual rainfalls,drinking water sources,epidemic villages,per capita net incomes of herdsmen,secondary industries and the total number of livestock between groups were statistically significant (t =-1.822,-3.920,3.013,1.715,-1.609,3.264,all P ＜0.05).Conclusion The factors influencing the prevalence of echinococciasis in Gansu Province are correlated with annual rainfalls,drinking water sources,epidemic villages,per capita net incomes of herdsmen,secondary industries and the total number of livestock.