Lata Suman, Kumar Gaurav, Bhakuni Bharat, Kumari Sandhya, Dhiman Ramesh C
ICMR-National Institute of Malaria Research, Delhi, India.
Academy of Scientific and Innovative Research, Ghaziabad, India.
J Vector Borne Dis. 2025 Apr 1;62(2):195-201. doi: 10.4103/JVBD.JVBD_117_24. Epub 2025 Jun 18.
Subalpine valley along the Sutlej River has been identified as an endemic focus for cutaneous leishmaniasis (CL) in Himachal Pradesh (H.P.) state in India. The present study was undertaken with the aim to find out the climatic and ecological determinants responsible for distribution of sandflies and occurrence of CL in Himachal Pradesh.
Collections of sandflies were made in the Shimla, Kullu, and Kinnaur districts of H.P. during 2017 and 2019. The climatic data were procured from Indian Meteorological centre, Shimla (H.P). The satellite images (Indian remote sensing satellite (IRS)-Linear imaging self-scanner (LISS)-IV sensor multispectral data) having resolution of 5.8m were procured from National Remote Sensing Centre, Hyderabad, India. The relationship between the incidence of CL and Land Use was analysed.
A total of 332 sandflies were collected. The transmission of CL was favoured by temperatures exceeding 20°C over a period of six months, specifically from April to September. The valley with an elevation ranging between 1000 to 1250 meters reported 90% of the CL cases. The correlation between CL incidence and land use patterns revealed a notable rise in barren land (8%) and scrub land (5%) from 2013 to 2017.
The findings reveals that specific meteorological conditions and land cover play a significant role in determining the presence of sandflies in Himachal Pradesh. To effectively control CL, it is recommended to implement control programs primarily between June and September, focusing particularly on regions with elevations ranging from 1000 to 1250 meters.
印度喜马偕尔邦沿萨特莱杰河的亚高山山谷被确定为皮肤利什曼病(CL)的地方性疫源地。本研究旨在找出导致喜马偕尔邦白蛉分布和CL发生的气候和生态决定因素。
2017年至2019年期间,在喜马偕尔邦的西姆拉、库鲁和金瑙尔地区采集白蛉。气候数据从喜马偕尔邦西姆拉的印度气象中心获取。分辨率为5.8米的卫星图像(印度遥感卫星(IRS)-线性成像自扫描仪(LISS)-IV传感器多光谱数据)从印度海得拉巴的国家遥感中心获取。分析了CL发病率与土地利用之间的关系。
共采集到332只白蛉。CL的传播在六个月内受温度超过20°C的影响,特别是从四月到九月。海拔在1000至1250米之间的山谷报告了90%的CL病例。CL发病率与土地利用模式之间的相关性显示,2013年至2017年期间,荒地(8%)和灌丛地(5%)显著增加。
研究结果表明,特定的气象条件和土地覆盖在决定喜马偕尔邦白蛉的存在方面起着重要作用。为有效控制CL,建议主要在6月至9月期间实施控制计划,尤其关注海拔1000至1250米的地区。