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奇特拉尔地区皮肤利什曼病的环境风险建模及潜在白蛉传播媒介:巴基斯坦蒂里奇米尔山的一个利什曼病疫源地

Environmental risk modelling and potential sand fly vectors of cutaneous leishmaniasis in Chitral district: a leishmanial focal point of mount Tirich Mir, Pakistan.

作者信息

Zaidi Farrah, Fatima Syeda Hira, Jan Tehmina, Fatima Mehreen, Ali Asad, Khisroon Muhammad, Adnan Muhammad, Rasheed Syed Basit

机构信息

Department of Zoology, University of Peshawar, Pakistan.

Department of Space Science, Institute of Space Technology, Islamabad, Pakistan.

出版信息

Trop Med Int Health. 2017 Sep;22(9):1130-1140. doi: 10.1111/tmi.12916. Epub 2017 Jul 27.

DOI:10.1111/tmi.12916
PMID:28653450
Abstract

OBJECTIVE

To provide baseline information about suspected vectors and the incidence, distribution and an active zone of transmission for cutaneous leishmaniasis (CL) in Chitral, Pakistan, using GIS tools; and to investigate the role of environmental factors in the disease dynamics.

METHOD

Two surveys in 2014 and 2016 as a basis for choropleth and environmental risk mapping.

RESULTS

A total of 769 captured specimens yielded 14 Phlebotomus and six Sergentomyia species including two potential vectors of CL, i.e. Phlebotomus papatasi and Phlebotomus sergenti. P. papatasi (71%) was dominant, followed by P. sergenti (18%). A choropleth map generated in Arcmap 10.1 based on 1560 CL case reports displayed maximum prevalence (0.92-2.5%) in Ayun, Broz, Charun, Chitral 1 and 2 and Darosh 1 and 2 union councils. An environmental risk map constructed by MaxEnt 3.3.3 defined an active zone of transmission based on leishmaniasis occurrence records (n = 315). The analysis of variable contribution in MaxEnt indicates significance of elevation (54.4%), population density (23.3%) and land use/land cover (6.6%) in CL disease dynamics.

CONCLUSION

The probability of CL increases (0.6-1 on logistic scale) in severely deforested areas, in lowland valleys and in regions with high-population density.

摘要

目的

利用地理信息系统(GIS)工具,提供有关巴基斯坦奇特拉尔皮肤利什曼病(CL)疑似传播媒介以及发病率、分布和传播活跃区的基线信息;并调查环境因素在疾病动态中的作用。

方法

以2014年和2016年的两项调查为基础进行分级统计图和环境风险制图。

结果

总共捕获的769个标本中有14种白蛉属和6种司蛉属物种,其中包括CL的两种潜在传播媒介,即巴氏白蛉和塞氏白蛉。巴氏白蛉(71%)占主导,其次是塞氏白蛉(18%)。基于1560份CL病例报告在ArcMap 10.1中生成的分级统计图显示,阿云、布罗兹、查伦、奇特拉尔1区和2区以及达罗斯1区和2区乡议会的患病率最高(0.92 - 2.5%)。由MaxEnt 3.3.3构建的环境风险图根据利什曼病发生记录(n = 315)确定了一个传播活跃区。MaxEnt中变量贡献分析表明,海拔(54.4%)、人口密度(23.3%)和土地利用/土地覆盖(6.6%)在CL疾病动态中具有重要意义。

结论

在森林严重砍伐地区、低地山谷和人口密度高的地区,CL的发病概率增加(逻辑尺度上为(0.6 - 1))。

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