期刊文献+

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

GIS-Based Situational Analysis of Cutaneous Leishmaniasis Disease (CLD) in Sri Lanka
下载PDF
导出
摘要 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 < 0.05). It is revealed that, during and in the post-harvesting periods of paddy cultivation, farmers are highly exposed to sandflies becoming CL patients. Due to this situation, the researchers observed that the highest number of patients have reported in May of both years and the infection period is two to four weeks earlier than the reported month. Hence to prevent the disease spread, it is essential to implement an awareness program regarding sandflies’ behaviour and CLD. 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 < 0.05). It is revealed that, during and in the post-harvesting periods of paddy cultivation, farmers are highly exposed to sandflies becoming CL patients. Due to this situation, the researchers observed that the highest number of patients have reported in May of both years and the infection period is two to four weeks earlier than the reported month. Hence to prevent the disease spread, it is essential to implement an awareness program regarding sandflies’ behaviour and CLD.
作者 Sampath Arunashantha Mangala Jayarathne Saseeka Wijesekera Nishan Sakalasooriya Charuni Kottage Sampath Arunashantha;Mangala Jayarathne;Saseeka Wijesekera;Nishan Sakalasooriya;Charuni Kottage(Department of Geography, University of Kelaniya, Kelaniya, Sri Lanka;Regional Health Services Office, Polonnaruwa, Sri Lanka)
出处 《Journal of Geoscience and Environment Protection》 2023年第3期70-86,共17页 地球科学和环境保护期刊(英文)
关键词 Sandflies Disease Geoinformatics Techniques Environmental Factors Dry Zone Sandflies Disease Geoinformatics Techniques Environmental Factors Dry Zone
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部