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伊朗西南部皮肤利什曼病动物疫源地白蛉种类(蛾蠓科:白蛉亚科)的空间分布、生态位及气候区划

Spatial distribution of sand fly species (Psychodidae: Phlebtominae), ecological niche, and climatic regionalization in zoonotic foci of cutaneous leishmaniasis, southwest of Iran.

作者信息

Ebrahimi Sahar, Bordbar Ali, Rastaghi Ahmad R Esmaeili, Parvizi Parviz

机构信息

Molecular Systematics Laboratory, Parasitology Department, Pasteur Institute of Iran, TEH 13169, Tehran, Iran.

出版信息

J Vector Ecol. 2016 Jun;41(1):103-9. doi: 10.1111/jvec.12200.

DOI:10.1111/jvec.12200
PMID:27232131
Abstract

Cutaneous leishmaniasis (CL) is a complex vector-borne disease caused by Leishmania parasites that are transmitted by the bite of several species of infected female phlebotomine sand flies. Monthly factor analysis of climatic variables indicated fundamental variables. Principal component-based regionalization was used for recognition of climatic zones using a clustering integrated method that identified five climatic zones based on factor analysis. To investigate spatial distribution of the sand fly species, the kriging method was used as an advanced geostatistical procedure in the ArcGIS modeling system that is beneficial to design measurement plans and to predict the transmission cycle in various regions of Khuzestan province, southwest of Iran. However, more than an 80% probability of P. papatasi was observed in rainy and temperate bio-climatic zones with a high potential of CL transmission. Finding P. sergenti revealed the probability of transmission and distribution patterns of a non-native vector of CL in related zones. These findings could be used as models indicating climatic zones and environmental variables connected to sand fly presence and vector distribution. Furthermore, this information is appropriate for future research efforts into the ecology of Phlebotomine sand flies and for the prevention of CL vector transmission as a public health priority.

摘要

皮肤利什曼病(CL)是一种由利什曼原虫引起的复杂的媒介传播疾病,这些原虫通过几种受感染的雌性白蛉叮咬传播。对气候变量的月度因子分析表明了基本变量。基于主成分的区域化方法用于识别气候区,采用聚类综合方法,基于因子分析确定了五个气候区。为了研究白蛉种类的空间分布,在ArcGIS建模系统中使用克里金法作为一种先进的地质统计程序,这有助于设计测量计划并预测伊朗西南部胡齐斯坦省各地区的传播周期。然而,在CL传播潜力高的多雨和温带生物气候区观察到巴氏白蛉出现的概率超过80%。发现塞尔氏白蛉揭示了CL非本地传播媒介在相关区域的传播和分布模式的可能性。这些发现可作为模型,表明与白蛉存在和媒介分布相关的气候区和环境变量。此外,这些信息适用于未来对白蛉生态学的研究以及作为公共卫生重点预防CL媒介传播。

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