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Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan
Cutaneous leishmaniasis (CL) is a zoonotic infection caused by obligate intracellular protozoa of the genus Leishmania. 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 healt...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962270/ https://www.ncbi.nlm.nih.gov/pubmed/36828544 http://dx.doi.org/10.3390/tropicalmed8020128 |
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author | Ullah, Wasia Yen, Tsai-Ying Niaz, Sadaf Nasreen, Nasreen Tsai, Yu-Feng Rodriguez-Vivas, Roger Ivan Khan, Adil Tsai, Kun-Hsien |
author_facet | Ullah, Wasia Yen, Tsai-Ying Niaz, Sadaf Nasreen, Nasreen Tsai, Yu-Feng Rodriguez-Vivas, Roger Ivan Khan, Adil Tsai, Kun-Hsien |
author_sort | Ullah, Wasia |
collection | PubMed |
description | Cutaneous leishmaniasis (CL) is a zoonotic infection caused by obligate intracellular protozoa of the genus Leishmania. 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. |
format | Online Article Text |
id | pubmed-9962270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99622702023-02-26 Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan Ullah, Wasia Yen, Tsai-Ying Niaz, Sadaf Nasreen, Nasreen Tsai, Yu-Feng Rodriguez-Vivas, Roger Ivan Khan, Adil Tsai, Kun-Hsien Trop Med Infect Dis Article Cutaneous leishmaniasis (CL) is a zoonotic infection caused by obligate intracellular protozoa of the genus Leishmania. 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. MDPI 2023-02-20 /pmc/articles/PMC9962270/ /pubmed/36828544 http://dx.doi.org/10.3390/tropicalmed8020128 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ullah, Wasia Yen, Tsai-Ying Niaz, Sadaf Nasreen, Nasreen Tsai, Yu-Feng Rodriguez-Vivas, Roger Ivan Khan, Adil Tsai, Kun-Hsien Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan |
title | Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan |
title_full | Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan |
title_fullStr | Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan |
title_full_unstemmed | Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan |
title_short | Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan |
title_sort | distribution and risk of cutaneous leishmaniasis in khyber pakhtunkhwa, pakistan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962270/ https://www.ncbi.nlm.nih.gov/pubmed/36828544 http://dx.doi.org/10.3390/tropicalmed8020128 |
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