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杨进, 董柏青, 张杰, 廖和壮, 梁大斌, 吴兴华, 司国爱, 杨宏徽, Jin Kyung Park, R Leon Ochiai, Camilo J Acosta, Moharmmad Ali, John D Clemens. 地理信息系统技术在伤寒发热监测中应用[J]. 中国公共卫生, 2007, 23(9): 1086-1088. DOI: 10.11847/zgggws2007-23-09-32
引用本文: 杨进, 董柏青, 张杰, 廖和壮, 梁大斌, 吴兴华, 司国爱, 杨宏徽, Jin Kyung Park, R Leon Ochiai, Camilo J Acosta, Moharmmad Ali, John D Clemens. 地理信息系统技术在伤寒发热监测中应用[J]. 中国公共卫生, 2007, 23(9): 1086-1088. DOI: 10.11847/zgggws2007-23-09-32
YANG Jin, DONG Bai-qing, ZHANG Jie, . Use of GIS in assessment of typhoid fever surveillance system[J]. Chinese Journal of Public Health, 2007, 23(9): 1086-1088. DOI: 10.11847/zgggws2007-23-09-32
Citation: YANG Jin, DONG Bai-qing, ZHANG Jie, . Use of GIS in assessment of typhoid fever surveillance system[J]. Chinese Journal of Public Health, 2007, 23(9): 1086-1088. DOI: 10.11847/zgggws2007-23-09-32

地理信息系统技术在伤寒发热监测中应用

Use of GIS in assessment of typhoid fever surveillance system

  • 摘要: 目的 运用地理信息系统(GIS)技术,了解各居民点发热流行率和评价以医疗机构为哨点的伤寒发热监测系统的敏感性。方法 收集医学人口普查数据、疾病监测系统信息数据、现场采集居民居住点全球卫星定位数据等资料,建立GIS系统和以人口为基数的发热监测系统;对所有发热就诊病人进行身份和居住地址确认,并制作各居民点年发热就诊率GIS分布图。结果 共采集3776个居民居住的全球定位系统(GPS)定位点,人群发热就诊率为1.11‰,发热就诊人次占总门诊人次的16.3%,监测区内的发热就诊病人占所有发热就诊病人的83.5%。在3种类型的医疗机构中,门诊量以个体门诊类最多,但其发热就诊人次占总门诊人次的比率最低(12.6%)。监测区内发热1d或以上的病人地址和身份(ADDRESS-ID)确认率达到95%。根据居民点年发热就诊率GIS分布图,发热就诊率最高的居民点达到17.81‰,最低为0;发热就诊率高的居民点多集中在城市。结论 利用GIS技术可直观准确的了解疾病流行率的分布,可迅速直观的寻找出监测系统中的薄弱环节和推断出可能存在的问题。

     

    Abstract: Objective To find out the fever prevalence rate in each resident point and to assess the sensitivity of health facility-based typhoid fever surveillance system by applying geographic information system(GIS)technology.Methods Census data,disease surveillance data and resident global position system data were collected,and relevant GIS databases were set up and population-based fever disease surveillance system was established.All febrile cases were identified by patient' ID and address ID.A resident point case-population rate distribution GIS map was produced.Results 3 776 resident GPS points in study area were collected.In 2004,the febrile case-population rate was 1.11‰.Febrile cases accounted for 16.3% of total outpatients,and the febrile patients came from study accounted for 83.5% of total febrile outpatients.In three types of health facility,the number of outpatients in private clinics sector was the most,but the ratio of febrile outpatient to total outpatient in private clinics sector was lowest(12.6%).95% febrile outpatients' address-IDs was matched.According to the GIS map of febrile case-population rate,the highest rate of an resident point reached 17.81‰,while the lowest one was 0;More resident points with a low rate located in rural area,especially in northwest of rural area.Conclusion GIS provides a resource for rapid mapping on febrile cases distribution and the fever prevalence can be displayd visually,detailed and precisely;the weak points in surveillance system can be detected quickly and straightly and can detect or extrapolate where the problems are in the surveillance system.

     

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