摘要
目的了解2014—2021年威海市环翠区戊型病毒性肝炎(简称戊肝)流行特征,为制定戊肝的防控策略提供依据。方法利用描述性研究方法,对2014—2021年戊肝病例监测资料进行分析。结果2014—2021年环翠区共累计报告戊肝病例228例,年均报告发病率为3.70/10万。乡镇年均发病率4.00/10万高于城区年均发病率3.54/10万,差异有统计学意义(P<0.05);无明显发病高峰期;男性平均发病率5.31/10万明显高于女性2.14/10万,差异有统计学意义(P<0.05);发病主要集中在50~69岁人群,构成比为50.88%;发病职业主要以家务及待业、农民、离退休人员、工人为主,占发病总数87.72%。结论环翠区戊肝发病呈波浪式流行特征,应积极采取宣传教育、加强食品安全监管、对重点人群进行健康监测以及接种戊肝疫苗等防控策略。
Objective To understand the epidemiological characteristics of viral hepatitis E(hepatitis E for short)in Huancui District,Weihai City from 2014 to 2021,and to provide a basis for formulating prevention and control strategies for hepatitis E.Methods Used descriptive research methods,the surveillance data of hepatitis E cases from 2014 to 2021 were analyzed.Results A total of 228 cases of hepatitis E were reported in Huancui District from 2014 to 2021,with an average annual reported incidence rate of 3.70/100000.The average annual incidence rate in townships was 4.00/100,000,and the difference was statistically significant(P<0.05).There was no obvious peak incidence period;the arerage incidence rate of males was 5.31/100000,which was significantly higher than that of females(2.14/100000),which was higher than that in urban areas,which was 3.54/100000,and the difference was statistically significant(P<0.05).The incidence was mainly concentrated in people aged 50 to 69years old,with a constituent ratio of 50.88%.The occupational occupations were mainly housework and unemployed,farmers,retirees and workers,accounting for 87.72%of the total number of cases.Conclusion The incidence of hepatitis E in Huancui District is characterized by a wave-like epidemic.Prevention and control strategies such as publicity and education,strengthening food safety supervision,health monitoring of key populations,and hepatitis E vaccination should be actively adopted.
作者
于海玲
YU Hailing(Center for Disease Control and Prevention,Huancui District,Weihai,Shandong Province,264200 China)
出处
《中国卫生产业》
2022年第14期197-200,共4页
China Health Industry
关键词
戊肝
流行病学特征
病例监测
Hepatitis E
Epidemiology characteristics
Case monitoring
