Epidemiological characteristics of viral hepatitis in Yangpu district of Shanghai from 2012-2021
Objective To analyze the epidemiological characteristics and trends of viral hepatitis in Yangpu District of Shanghai from 2012 to 2021,and provide scientific evidence for developing the control and prevention measures.Methods A descriptive epidemiological method was used to analyze the data of viral hepatitis reported in Yangpu District from 2012 to 2021.Results From 2012 to 2021,the incidence rate of viral hepatitis in Yangpu District of Shanghai fluctuated,with the incidence falling first,then rising and falling again,and the annual average incidence rate was 64.43/1 000 000.Among all kinds of viral hepatitis,hepatitis B had the highest annual incidence(43.26/1 000 000).The incidence of hepatitis B had dropped sharply and then increased a little in the past decade.Hepatitis A and hepatitis E occurred sporadically.The incidence of hepatitis C had increased slightly in the past decade,and the incidence of unidentified hepatitis decreased.Most cases of viral hepatitis in Yangpu District of Shanghai were the adults aged 50-＜70 years old,and the male had the higher incidence with the average annual incidence rate of 82.37/1 000 000.The occupational division was mainly composed of retired and domestic unemployed people.Conclusion The overall incidence rate of viral hepatitis in Yangpu District has declined in recent ten years,but hepatitis B and hepatitis C have increased in recent years.The disease monitoring of viral hepatitis should not be slackened.In the future,we should strengthen the vaccination of hepatitis B vaccine and the vaccination of hepatitis A and E vaccine for key posts,and control the spread of hepatitis B and hepatitis C by strengthening publicity and education,avoiding high-risk behaviors,and preventing iatrogenic infections,etc.Strengthen the prevention and control of hepatitis E by doing a good job in environmental hygiene and other related work.
Viral hepatitisIncidenceEpidemiological characteristicsTrends in time
NETL
NSTL
万方数据
