Department of Medical Entomology & Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Department of Environmental Chemical Pollutants and Pesticides, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
Parasit Vectors. 2018 Jul 3;11(1):382. doi: 10.1186/s13071-018-2973-7.
Malaria is an important mosquito-borne disease, transmitted to humans by Anopheles mosquitoes. The aim of this study was to gather all records of three main malaria vectors in Iran during the last decades, and to predict the current distribution and the environmental suitability for these species across the country.
All published documents on An. superpictus Grassi (s.l.), An. maculipennis Meigen (s.l.) and An. sacharovi Favre during 1970-2016 in Iran were obtained from different online data bases and academic libraries. A database was created in ArcMap 10.3. Ecology of these species was analyzed and the ecological niches were predicted using MaxEnt model.
Anopheles superpictus (s.l.) is the most widespread malaria vector in Iran, and exists in both malaria endemic and non-endemic areas. Whereas An. maculipennis (s.l.) is reported from the northern and northwestern parts, Anopheles sacharovi is mostly found in the northwestern Iran, although there are some reports of this species in the western, southwestern and eastern parts. The area under receiver operating characteristic (ROC) curve (AUC) for training and testing data was calculated as 0.869 and 0.828, 0.939 and 0.915, and 0.921 and 0.979, for An. superpictus (s.l.), An. maculipennis (s.l.) and An. sacharovi, respectively. Jackknife test showed the environmental variable with highest gain in the predicting power of the model when used in isolation was annual precipitation for An. superpictus (s.l.) and An. maculipennis (s.l.), and precipitation of the driest quarter for An. sacharovi.
Despite this range, global warming may increase the potential risk for malaria transmission in some cleared-up areas, where these proven vectors are active. Mapping and prediction of spatial/temporal distribution of these vectors will be beneficial for decision makers to be aware of malaria transmission risk, especially in the western parts of the country.
疟疾是一种重要的蚊媒疾病,由疟蚊传播给人类。本研究旨在收集过去几十年伊朗三种主要疟疾病媒的所有记录,并预测这些物种在全国的当前分布和环境适宜性。
从不同的在线数据库和学术图书馆中获取了 1970-2016 年在伊朗发表的关于 An. superpictus Grassi (s.l.)、An. maculipennis Meigen (s.l.) 和 An. sacharovi Favre 的所有文献。在 ArcMap 10.3 中创建了一个数据库。分析了这些物种的生态,并使用 MaxEnt 模型预测了生态位。
Anopheles superpictus (s.l.) 是伊朗分布最广的疟疾媒介,存在于疟疾流行区和非流行区。而 An. maculipennis (s.l.) 则分布在北部和西北部,Anopheles sacharovi 主要分布在西北部的伊朗,尽管在西部、西南部和东部也有一些该物种的报道。训练和测试数据的接收者操作特征 (ROC) 曲线下面积 (AUC) 分别计算为 0.869 和 0.828、0.939 和 0.915、0.921 和 0.979,用于 An. superpictus (s.l.)、An. maculipennis (s.l.) 和 An. sacharovi。Jackknife 测试表明,在单独使用时,对模型预测能力影响最大的环境变量是 An. superpictus (s.l.) 和 An. maculipennis (s.l.) 的年降水量,以及 An. sacharovi 的最干旱季度降水量。
尽管有这种范围,但全球变暖可能会增加这些已证实的媒介在一些已清除地区传播疟疾的潜在风险。这些媒介的空间/时间分布的绘制和预测将有助于决策者了解疟疾传播风险,特别是在该国的西部。