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https://doi.org/10.1186/s13071-015-1250-2

has been cited by the following article:

• TITLE: GIS-Based Situational Analysis of Cutaneous Leishmaniasis Disease (CLD) in Sri Lanka

  AUTHORS: Sampath Arunashantha, Mangala Jayarathne, Saseeka Wijesekera, Nishan Sakalasooriya, Charuni Kottage

  KEYWORDS: Sandflies Disease, Geoinformatics Techniques, Environmental Factors, Dry Zone

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.11 No.3, March 22, 2023

  ABSTRACT: Cutaneous Leishmaniasis (CL) is a severe health problem and a parasitic disease on human dermal and widely pervades tropical and subtropical developing counties. The study is mainly focused on Geographic Information System (GIS) based Situational Analysis (SA). The clinically recorded 394 CL patients’ information was obtained from the District General Hospital of Polonnaruwa (DGHP) for 2017 and 2018. The spatial distribution of these patients was collected using Global Positing System (GPS). Moran’s I Index spatial autocorrelation technique and Getis-Ord Gi were used to identify the study site’s hot spot and cold spot areas. More than 75% of the CL patients’ population were highly involved with agricultural activities, and they are the highly exposed group of the CL in the study area. Also, 75% of the CL population were men, and the highly vulnerable age group was 35 - 39 men and 40 - 44 women. The generated Moran’s I Index indicates 0.0321, representing a randomly distributed pattern of CL patients over the District, and the Getis-Ord Gi Z Score value was >1.96 (p Hence to prevent the disease spread, it is essential to implement an awareness program regarding sandflies’ behaviour and CLD.