Ullah Wasia, Yen Tsai-Ying, Niaz Sadaf, Nasreen Nasreen, Tsai Yu-Feng, Rodriguez-Vivas Roger Ivan, Khan Adil, Tsai Kun-Hsien
Department of Zoology, Abdul Wali Khan University, Mardan 23300, Khyber Pakhtunkhwa, Pakistan.
Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei 100025, Taiwan.
Trop Med Infect Dis. 2023 Feb 20;8(2):128. doi: 10.3390/tropicalmed8020128.
Cutaneous leishmaniasis (CL) is a zoonotic infection caused by obligate intracellular protozoa of the genus . This study aimed to investigate CL in Khyber Pakhtunkhwa, Pakistan and to estimate the risk of epidemics. Clinico-epidemiological data of 3188 CL patients were collected from health facilities in 2021. Risk factors were analyzed using the chi-square test. ArcGIS V.10.7.1 was applied for spatial analysis. The association between CL occurrence and climatic variables was examined by Bayesian geostatistical analysis. The clinical data revealed males or individuals younger than 20 years old were more affected. Most patients presented with a single lesion, and the face was the most attacked body part. CL was prevalent in the southern region in winter. A proportional symbol map, a choropleth map, and a digital elevation model map were built to show the distribution of CL. Focal transmission was predicted by inverse distance weighting interpolation. Cluster and outlier analysis identified clusters in Bannu, Dir Lower, and Mardan, and hotspot analysis suggested Bannu as a high-risk foci. Bayesian geostatistical analysis indicated that increasing precipitation and temperature as well as low altitudes were associated with CL infection. The study has provided important information for public health sectors to develop intervention strategies for future CL epidemics.
皮肤利什曼病(CL)是由利什曼原虫属专性细胞内原生动物引起的一种人畜共患感染。本研究旨在调查巴基斯坦开伯尔-普赫图赫瓦省的皮肤利什曼病,并评估其流行风险。2021年从医疗机构收集了3188例皮肤利什曼病患者的临床流行病学数据。使用卡方检验分析风险因素。应用ArcGIS V.10.7.1进行空间分析。通过贝叶斯地理统计分析检查皮肤利什曼病发生与气候变量之间的关联。临床数据显示男性或20岁以下个体受影响更大。大多数患者表现为单个病灶,面部是最常受累的身体部位。皮肤利什曼病在冬季的南部地区流行。构建了比例符号图、分级统计图和数字高程模型图以显示皮肤利什曼病的分布。通过反距离加权插值预测局部传播。聚类和离群值分析在班努、下迪尔和马尔丹发现了聚类,热点分析表明班努是高风险病灶。贝叶斯地理统计分析表明,降水量和温度增加以及低海拔与皮肤利什曼病感染有关。该研究为公共卫生部门制定未来皮肤利什曼病流行的干预策略提供了重要信息。