中华老年医学杂志
中華老年醫學雜誌
중화노년의학잡지
Chinese Journal of Geriatrics
2010年
5期
397-400
,共4页
胡宇峰%孙振球%洪福昌%蓝丽娜%潘鹏%莫衍石%蔡于茂%文立章%冯铁建
鬍宇峰%孫振毬%洪福昌%藍麗娜%潘鵬%莫衍石%蔡于茂%文立章%馮鐵建
호우봉%손진구%홍복창%람려나%반붕%막연석%채우무%문립장%풍철건
性传播疾病%预测%模型,统计学
性傳播疾病%預測%模型,統計學
성전파질병%예측%모형,통계학
Sexually transmitted diseases%Forecasting%Models,statistical
目的 分析深圳市近年来老年性病的现状并探讨其时空分布的特点,同时建立深圳市老年性病发病的预测模型.为政府性病投入等政策提供参考.方法 利用2005-2009年深圳市性病监测系统数据,对50岁以上老年人梅毒和淋病大的发病现状进行分析,并利用SaTScan软件对老年男性淋病和一期及二期梅毒的时空分布进行分析,利用Eviews5.0建立性病的发病模型.结果 (1)2005-2009年深圳市50岁以上老年人两种性病的报告发病数呈上升趋势,男性比女性上升更加明显,年龄分组中60岁以上组与50~59岁组上升速度基本相同,病种中梅毒比淋病上升快.(2)老年男性的淋病和一期及二期梅毒的时空分布分析表明,2005年的莲花和梅林街道出现了老年男性性病的聚集(P=0.026,RR=2.13).(3)ARIMA(0,1,1)(0,0,1)12模型是适合对深圳市老年男性一期和二期梅毒进行预测的模型.结论 老年人可能成为性病传播的中间环节,应重视对老年人的性健康问题的监测.
目的 分析深圳市近年來老年性病的現狀併探討其時空分佈的特點,同時建立深圳市老年性病髮病的預測模型.為政府性病投入等政策提供參攷.方法 利用2005-2009年深圳市性病鑑測繫統數據,對50歲以上老年人梅毒和淋病大的髮病現狀進行分析,併利用SaTScan軟件對老年男性淋病和一期及二期梅毒的時空分佈進行分析,利用Eviews5.0建立性病的髮病模型.結果 (1)2005-2009年深圳市50歲以上老年人兩種性病的報告髮病數呈上升趨勢,男性比女性上升更加明顯,年齡分組中60歲以上組與50~59歲組上升速度基本相同,病種中梅毒比淋病上升快.(2)老年男性的淋病和一期及二期梅毒的時空分佈分析錶明,2005年的蓮花和梅林街道齣現瞭老年男性性病的聚集(P=0.026,RR=2.13).(3)ARIMA(0,1,1)(0,0,1)12模型是適閤對深圳市老年男性一期和二期梅毒進行預測的模型.結論 老年人可能成為性病傳播的中間環節,應重視對老年人的性健康問題的鑑測.
목적 분석심수시근년래노년성병적현상병탐토기시공분포적특점,동시건립심수시노년성병발병적예측모형.위정부성병투입등정책제공삼고.방법 이용2005-2009년심수시성병감측계통수거,대50세이상노년인매독화임병대적발병현상진행분석,병이용SaTScan연건대노년남성임병화일기급이기매독적시공분포진행분석,이용Eviews5.0건립성병적발병모형.결과 (1)2005-2009년심수시50세이상노년인량충성병적보고발병수정상승추세,남성비녀성상승경가명현,년령분조중60세이상조여50~59세조상승속도기본상동,병충중매독비임병상승쾌.(2)노년남성적임병화일기급이기매독적시공분포분석표명,2005년적연화화매림가도출현료노년남성성병적취집(P=0.026,RR=2.13).(3)ARIMA(0,1,1)(0,0,1)12모형시괄합대심수시노년남성일기화이기매독진행예측적모형.결론 노년인가능성위성병전파적중간배절,응중시대노년인적성건강문제적감측.
Objective To analyze the status quo of sexually transmitted diseases (STDs) of the elderly in recent years in Shenzhen, to explore the characteristics of temporal and spatial distribution,and to establish prediction model of STDs of the elderly in Shenzhen. Methods Using the surveillance system data of STDs from 2005 to 2009 in Shenzhen city, the incidence, temporal and spatial distribution of syphilis and gonorrhea were analyzed in the elderly aged 50 years and over by SaTScan. The incidence prediction model of STDs was established by Eviews 5.0.Results (1)The incidences of the two kinds of STDs from 2005 to 2009 in Shenzhen were on the rise and on more marked increase in male than in female. The rising velocity in over-60 year age group was similar with in 50-59 year age group. The rising velocity of syphilis was faster than gonorrhea. (2)The space-time distribution analysis showed there were clusters of the STDs in elderly men in 2005 in Lianhua and Meilin districts (P = 0. 026, RR= 2.13). (3) ARIMA (0, 1,1) (0,0, 1) 12 model was a suitable forecasting model for STDs in elderly men in Shenzhen. Conclusions