Analysis on epidemiological characteristics of public health emergencies of infectious diseases in Weifang city from 2006 to 2023
Objective To analyze the epidemiological characteristics of infectious disease public health emergencies in We-ifang city from 2006 to 2023,so as to provide a basis for targeted prevention and control measures.Methods The data of the event cause,disease scale,time distribution,regional distribution,and population distribution were collected from Nation Public Health Emergency Reporting System in Weifang city from 2006 to 2023.And descriptive epidemiologiy was used to analyze the incidence,mortality,annual percent change(APC),Moran's I and other indicators.Results A total of 468 infectious disease public health emergencies were reported in Weifang city from 2006 to 2023,and 364 events were category B,61 eventswere category C and 43 events were other infectious diseases.There were 2 420 patients and 45 deaths,with the incidence of 1.86％(2 420/129 946)and the mortality of 1.86％(45/2 420).Joinpoint analysis showed that the annual percentage change(APC)in the incidence of infectious disease public health emergencies was 8.84(P＜0.05),and there was an increasing tendency with statistically significant(t=2.19,P=0.04).November-February was the peak period,while May-August was the trough period.No statistical difference was found in global spatial autocorre-lation of infectious disease public health emergency in Weifang city(Moran's I=0.074,Z=1.06,P=0.155),Weicheng district and Kuiwen district were found high-high clusters area in local spatial autocorrelation.The incidence of infectious disease public health emergency in villages and communities were more balanced,schools and enterprises were also the fo-cus of attention,the main infectious diseases of different populations were quite different.Conclusion Spectrum of disease public health emergency in Weifang city were constantly changing,the incidence was on the rise,great differences among counties and districts were existent,different prevention and control measures will be applied among different populations.
Public health emergencyInfectious diseaseEpidemiology
NETL
NSTL
万方数据
