摘要
目的通过系统分析2005年10月至2019年3月山西省流行性感冒(流感)监测数据,掌握流感各亚型在山西的流行特征,为科学研判和预测流感整体的流行趋势提供依据。方法通过“中国流感监测信息系统”收集2005年10月至2019年3月流感样病例报告及病原学监测数据,以每周流感样就诊比(ILI%)和病毒检出阳性数表示流感活动强度,运用描述性流行病学方法对ILI%及各亚型流感病毒检出阳性数随时间变化等特点进行分析。结果2009-2010年度流感大流行期间ILI%最高,为13.89%;其他年度最高为4.26%,最低为2.82%;所有型别流感病毒周检出阳性数最高达302例/周,流行最长可持续44周;甲型H1N1、季节性H3N2和乙型流感病毒检出阳性数分别达159例/周、198例/周和255例/周,流行持续时间最长分别为23周、34周和26周,流行周期分别约为3~4年、4~5年和2年。结论流感在山西呈冬季单峰流行特点,在单一流行季节内多以2种或3种亚型病毒混合流行,了解不同亚型独立的流行周期和特点,一定程度上可为准确分析预测年度流感整体流行趋势提供依据。
Objective To systematically determine the influenza surveillance data of Shanxi Province between 2005 and 2019,and to grasp the epidemiological characteristics of influenza subtypes in Shanxi,so as to provide scientific evidence for predicting the overall epidemic trend of influenza.Methods:The influenza-like case report and pathogen surveillance data during October 2005 to March 2019 were collected through the"China Influenza Surveillance Information System".The weekly visiting rate of influenza-like illness(ILI%)and the positive number of virus were used to represent the intensity of influenza activity.Descriptive epidemiological methods were used to analyze the changes of ILI%and the positive number of different influenza virus subtypes over time.Results ILI%was the highest during the 2009-2010 influenza pandemic,which was 13.89%.During the other years,the highest ILI%was 4.26%,and the lowest was 2.82%.The positive number of all subtypes of influenza virus was up to 302 cases/week,and the longest duration of the epidemic lasted for 44 weeks.The positive numbers of influenza A H1N1,seasonal H3N2 and influenza B virus were 159 cases/week,198 cases/week and 255 cases/week,respectively;and the longest duration of the epidemic lasted for 23 weeks,34 weeks and 26 weeks,respectively;and the epidemic cycle was about 3-4 years,4-5 years and 2 years,respectively.Conclusion In Shanxi Province,influenza shows a single-peak epidemic in winter.In this single epidemic season,influenza is caused by two or three viral subtypes.Therefore,understanding the independent epidemic cycles and characteristics of these different subtypes may somehow favor the accurate analysis and prediction of the overall trend of annual influenza.
作者
梁红梅
李国华
高雪芬
李晓清
高璐
Liang Hongmei;Li Guohua;Gao Xuefen;Li Xiaoqing;Gao Lu(Department of Administration,Shanxi Provincial Center for Disease Control and Prevention,Taiyuan 030012,China)
出处
《中国药物与临床》
CAS
2020年第2期183-185,共3页
Chinese Remedies & Clinics
关键词
流感
人
流行病学监测
传染病
Influenza
human
Epidemiological monitoring
Communicable diseases
