Epidemiological characteristics and influencing factors of spatiotemporal clustering of other infec-tious diarrhea in Shenzhen,2012-2022
Objective Objective To analyze the epidemiological characteristics of other infec-tious diarrhea in Shenzhen city,as a reference for the epidemic prevention and control work.Methods Descriptive epidemiological methods to analyze the epidemiological characteristics of other infectious diar-rhea in Shenzhen from 2012 to 2022,spatial autocorrelation analysis was used to analyze their spatiotem-poral clustering features.Results From 2012 to 2022,Shenzhen documented a cumulative total of 396 302 cases of infectious diarrhea at an average annual incidence rate of approximately 273.84 per 100 000 individuals.The male-to-female case ratio stood at 1.40∶1.00 and predominantly affected chil-dren under three years old residing in dispersed households.Winter marked as its seasonal peak.Long-gang District consistently exhibited the highest incidence rates among Shenzhen's districts over six succes-sive years,reaching an annual incidence rate of 359.24 per 100 000 individuals.Significant geographic disparities were observed.Spatial autocorrelation analyses revealed clustered patterns(Z=1.872-3.901,P＜0.05)during the period from 2017 to 2022,demonstrating"high-high"clusters annually.Consistent outcomes emerged trom spatial scanandcorrelationanalyses,involving eight main district clusters all coin-ciding with winter peaks.Reported casenumbers correlated positively with urban migrant proportions while negatively with urban population densities.Conclusions From 2012 to 2022,the average annual inci-dence rate of other infectious diarrheal diseases in Shenzhen exceeds the national average for the corre-sponding period.The incidence peaks primarily during the winter season,with the majority of cases occur-ring among children under the age of three who are not enrolled in daycare.There is a positive correlation between the incidence rate and both the proportion of the migrant population and population density.Addi-tionally,certain districts exhibit notable spatiotemporal clustering.
Other infectious diarrheaEpidemiological characteristicsSpatiotemporal aggregation
万方数据
维普
