Analysis of spatial-temporal characteristics of avian influenza external environment monitoring data in Guilin
Objective To understand the virus pollution situation in the external environment of avian influenza in Guilin,and to provide data reference for the prevention,control,and early warning of avian influenza epidemic.Methods The external environmental monitoring data of avian influenza in Guilin from 2010 to 2020 were collected and analyzed.Chi square test and trend test were performed on the number of positive samples of virus in the external environment at different time and season,linear and nonlinear correlation analysis were conducted between positive detection numbers and population density based on environmental data.Methods such as directional distribution,trend,spatial autocorrelation,high/low clustering,and hotspot analysis for spatial distribution analysis.Results From 2010 to 2020,there were 552 positive cases of avian influenza virus in the external environment of Guilin,with a positive rate of 35.5%.The positive detection rate is higher in autumn and winter.There are more cases in the central area than in the surrounding areas with a positive linear correlation with population density.The spatial distribution is not obvious,showing a slightly"northeast southwest"distribution pattern.The distribution of positive specimens shows a trend of high value aggregation,with Diecai District,Seven Star District,Xiufeng District,and Xiangshan District being the"hot spots".Conclusion The positive detection of avian influenza virus in the external environment of Guilin from 2010 to 2020 is related to season in time,shows a central clustering trend in space,and has a linear positive correlation with population density.
avian influenzaspatiotemporal analysisgeographic information systemexternal environmental monitoring
NETL
NSTL
万方数据
