Environmental and socio-demographic factors associated with cutaneous leishmaniasis in district Khyber, Pakistan; alarming spread of the disease to new foci

被引:0
|
作者
Lu, Chao [1 ,2 ]
Ullah, Zerman [3 ]
Khan, Khurshaid [3 ]
Shah, Safeer Ullah [4 ]
Jamal, Muhsin [5 ]
Khan, Nazma Habib [6 ]
机构
[1] HeFei Univ Technol, Hefei, Peoples R China
[2] Anhui Univ Sci & Technol, Affiliated Hosp 1, Huainan, Anhui, Peoples R China
[3] Abdul Wali Khan Univ Mardan, Dept Zool, Khyber Pakhtunkhwa, Pakistan
[4] Univ Peshawar, Natl Ctr Excellence Geol, Peshawar, Pakistan
[5] Abdul Wali Khan Univ Mardan, Dept Microbiol, Khyber Pakhtunkhwa, Pakistan
[6] Univ Peshawar, Dept Zool, Khyber Pakhtunkhwa, Pakistan
关键词
Cutaneous leishmaniasis; Khyber; Spatial distribution; Risk factors; Pakistan; SAND FLIES DIPTERA; PAKHTUNKHWA PROVINCE; DIR DISTRICTS; PSYCODIDAE PHLEBOTOMINE; RISK-FACTORS; PSYCHODIDAE; REGION; DIVERSITY; PATTERNS; TROPICA;
D O I
10.1016/j.heliyon.2024.e29571
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cutaneous leishmaniasis (CL) is a sand fly-borne infection of significant public health concern in Pakistan (endemic for CL). This study aimed to scrutinize the environmental and socio-economic risk factors for CL in district Khyber (located on Pak-Afghan border), Pakistan. Clinically confirmed 2881 CL case records for (January-December) 2017 and 2020 were obtained from district hospital. In addition, a questionnaire for CL risk factors assessment was administered to 525 households (175 in 2017 and 350 in 2020) in 40 villages throughout the district in a household survey. Higher number of CL cases were recorded in 2020 (N = 1824 belonging to 90 villages) compared to 2017 (N = 1057 from 42 villages). Highest number of CL patient cases were recorded in tehsil Jamrud (N = 2248, 39.01 %), followed by Landi Kotal (N = 398, 6.91 %) and Bara (N = 235, 4.08 %). Records showed higher number of CL cases in males (N = 1,659, 57.58 %) compared to females (N = 1,222, 42.41 %). In 2017 and 2020 the disease burden peaked in January. GIS-based spatial analyses of hospital records revealed that CL cases were abundant at 294-1,916 m elevation, in agriculture and range lands. Univariate logistic regression model analysis of risk factors suggested that higher education, family size >15, knowledge of CL, having family member/s that suffered from CL in the past, knowledge about biting time of sand flies, use of mosquito spray, presence of Afghan refugees in the village/s and living in mud-made houses increased the risk of acquiring CL. The multivariable logistic regression model showed none of the risk factors to be statistically significant. Findings of the study are crucial towards effective and targeted control of CL in district Khyber.
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页数:10
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