Spatiotemporal clustering characteristics and environmental risks of Kashin-Beck disease in Gansu Province
Objective Based on investigated data,we analyzed the spatial differentiation patterns and main environmental risk factors of Kashin-Beck disease(KBD)in Gansu Province,so as to provide scientific support for the prevention,intervention and elimination of KBD.Methods The main analysis methods adopted were mathematical statistics,and the R language was used to analyze and plot the results.The global Moran's I and local Moran's I were used to analyze the spatial aggregation or random dispersion characteristics of KBD,and geographic detectors were used to explore the main environmental risk factors and their influencing mechanisms.Results ①The historical KBD concentrated areas in Gansu Province cover 7 cities(prefectures),37 counties(districts)and 381 towns.They are mainly concentrated in the east and south of Gansu province.②Geographical environmental risk factors have a high explanation rate for KBD,explaining 52.9％(P＜0.05),41.9％(P＜0.05),38.1％(P＜0.05),36.3％(P＜0.05)and 36.3％(P＜0.1)of the spatial contribution rate,respectively,which was statistically significant.For socioeconomic risks,per capita disposable income,per capita fiscal budget,and the proportion of the elderly had the highest contribution rates,with explanation rates of 44.3％(P＜0.05),28.8％(P=0.153)and 24.7％(P=0.187),respectively.The result indicated that personal economic conditions could greatly affect the incidence of KBD.Better economic conditions could improve living conditions and quality early,and provide certain conditions for the prevention of KBD.Conclusion In the future,prevention,intervention,and treatment work should be emphasized in the concentrated areas of KBD.
Kaschin-Beck diseaseGansu ProvinceSpatial cluster analysisGeographic detectorRisk factor analysisMoran's I
NETL
NSTL
万方数据
