Public Health and Infection Research Group, Faculty of Health Sciences, Universidad Tecnologica de Pereira, Pereira, Risaralda, Colombia; Committee on Travel Medicine, Asociación Panamericana de Infectología, Quito, Ecuador; Colombian Collaborative Network of Zika (RECOLZIKA), Pereira, Risaralda, Colombia.
Colombian Collaborative Network of Zika (RECOLZIKA), Pereira, Risaralda, Colombia; Secretary of Health and Social Security of Pereira, Pereira, Risaralda, Colombia.
Travel Med Infect Dis. 2017 Jul-Aug;18:57-66. doi: 10.1016/j.tmaid.2017.05.004. Epub 2017 May 6.
Geographical information systems (GIS) have been demonstrated earlier to be of great use to inform public health action against vector-borne infectious diseases.
Using surveillance data on the ongoing ZIKV outbreak from Pereira, Colombia (2015-2016), we estimated incidence rates (cases/100,000 population), and developed maps correlating with the ecoepidemiology of the area.
Up to October 8, 2016, 439 cases of ZIKV were reported in Pereira (93 cases/100,000 pop.), with highest rates in the South-West area. At the corregiments (sub-municipalities) of Pereira, Caimalito presented the highest rate. An urban area, Cuba, has 169 cases/100,000 pop., with a low economical level and the highest Aedic index (9.1%). Entomological indexes were associated with ZIKV incidence at simple and multiple non-linear regressions (r > 0.25; p < 0.05).
Combining entomological, environmental, human population density, travel patterns and case data of vector-borne infections, such as ZIKV, leads to a valuable tool that can be used to pinpoint hotspots also for infections such as dengue, chikungunya and malaria. Such a tool is key to planning mosquito control and the prevention of mosquito-borne diseases in local populations. Such data also enable microepidemiology and the prediction of risk for travelers who visit specific areas in a destination country.
地理信息系统（GIS）在为针对虫媒传染病的公共卫生行动提供信息方面已被证明具有巨大的作用。
我们利用哥伦比亚佩雷拉（2015-2016 年）正在进行的寨卡病毒爆发的监测数据，估计了发病率（每 10 万人中的病例数），并绘制了与该地区生态流行病学相关的地图。
截至 2016 年 10 月 8 日，佩雷拉报告了 439 例寨卡病毒病例（93 例/10 万人口），西南部地区的发病率最高。在佩雷拉的科雷贡区（次级行政区），卡伊马利托的发病率最高。古巴是一个城市地区，每 10 万人中有 169 例病例，经济水平低，Aedic 指数最高（9.1%）。在简单和多重非线性回归中，昆虫学指数与寨卡病毒发病率相关（r>0.25；p<0.05）。
将虫媒传染病的昆虫学、环境、人口密度、旅行模式和病例数据相结合，可生成一个有价值的工具，用于确定寨卡病毒等感染的热点地区，也可用于确定登革热、基孔肯雅热和疟疾等感染的热点地区。此类工具是规划蚊虫控制和预防当地人群中蚊媒疾病的关键。此类数据还可以进行微观流行病学研究，并预测旅行者在前往目的地国家的特定地区时的风险。
