Sithiprasasna Ratana, Patpoparn Somboon, Attatippaholkun Watcharee, Suvannadabba Saravudh, Srisuphanunt Mayuna
Department of Entomology, U.S. Army Medical Component, Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.
Southeast Asian J Trop Med Public Health. 2004 Dec;35(4):918-26.
A Geographic Information System (GIS) was used as analysis tool to study the spatial distribution of dengue virus-infected Aedes mosquitos in Thailand. Global Positioning System (GPS) instruments were used to map villages involved in dengue epidemiological studies in Ratchaburi Province, Thailand. Differentially processed GPS data, with a spatial resolution of approximately 1 meter, were incorporated into a GIS for analysis and mapping. Databases associated with a village GIS included village number, Aedes aegypti populations, and test results. Epidemiological surveillance for dengue infection through the detection of the dengue virus type(s) infecting Aedes mosquitos during epidemic periods constitutes a reliable sentinel system for dengue outbreaks. Various techniques were applied including: enzyme linked immunosorbent assay (ELISA), indirect immunofluorescent assay (IFA), and reverse transcriptase-polymerase chain reaction (RT-PCR) assay for the virologic surveillance of the type-specific detection of dengue viruses in artificially infected and in field-caught adult Aedes mosquitos. In laboratory experiments, all assays showed sufficient sensitively to detect one virus infected mosquito and the rapid RT-PCR clearly showed serotype-specificity with very high detection sensitivity. In the field study conducted from April to September 2000, female adult Aedes mosquitos were collected from selected dengue-sensitive areas in Chom Bung district, Ratchaburi Province and assayed by ELISA, IFA and RT-PCR with 18.3% (44/240), 28.98% (20/69) and 15% (3/20) positive for dengue virus, respectively. Geographic distribution of the virus-infected Aedes mosquitos and household locations were demonstrated by the GPS and the GIS. The development of disease mapping data coupled with RT-PCR laboratory-based surveillance of dengue virus infection can successfully serve as epidemiologic tools in an early warning system for dengue hemorrhagic fever (DHF) epidemics.
地理信息系统(GIS)被用作分析工具,以研究泰国登革热病毒感染的伊蚊的空间分布。全球定位系统(GPS)仪器用于绘制泰国叻丕府参与登革热流行病学研究的村庄地图。将空间分辨率约为1米的差分处理GPS数据纳入GIS进行分析和绘图。与村庄GIS相关的数据库包括村庄编号、埃及伊蚊种群和检测结果。在流行期间,通过检测感染伊蚊的登革热病毒类型来进行登革热感染的流行病学监测,构成了一个可靠的登革热疫情哨兵系统。应用了各种技术,包括:酶联免疫吸附测定(ELISA)、间接免疫荧光测定(IFA)和逆转录聚合酶链反应(RT-PCR)测定,用于人工感染和野外捕获的成年伊蚊中登革热病毒类型特异性检测的病毒学监测。在实验室实验中,所有测定均显示出足够的灵敏度来检测一只感染病毒的蚊子,快速RT-PCR清楚地显示出血清型特异性,检测灵敏度非常高。在2000年4月至9月进行的实地研究中,从叻丕府乔姆邦区选定的登革热敏感地区收集成年雌性伊蚊,并分别通过ELISA、IFA和RT-PCR进行检测,登革热病毒阳性率分别为18.3%(44/240)、28.98%(20/69)和15%(3/20)。GPS和GIS展示了病毒感染伊蚊的地理分布和家庭位置。疾病绘图数据的开发以及基于RT-PCR实验室的登革热病毒感染监测可以成功地作为登革出血热(DHF)疫情预警系统中的流行病学工具。