Cutaneous leishmaniasis is a vector borne infection caused by flagellated parasitic protozoans of the genus . This is an emergent threat and endemic in areas of tropic and sub-tropics and has a wider geographical distribution. This study was aimed to find the epidemiological aspects of cutaneous leishmaniasis during the recent epidemic in district Karak in 2018-2019. The suspected patients of leishmaniasis from different areas of district Karak were examined. We came across 803 cases during six-month period from August 2018 to January 2019. A major portion (> 37%; n = 299) of these patients were in age 11-20 years. The infection rate was higher in female (55.3%; n = 803) compared to males (44.6%; n = 803). Both gender and age showed a significant effect on the occurrence of infection. It is concluded that cutaneous leishmaniasis has appeared as a major health issue in district Karak. The current study report CL outbreak in Karak district which need immediate response from the healthcare authorities. In addition, extensive awareness campaigns are needed for timely prevention of such outbreaks.
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http://dx.doi.org/10.1007/s12639-020-01250-4 | DOI Listing |
BMC Infect Dis
December 2024
Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Background: Mucocutaneous leishmaniasis (MCL) is a severe form of leishmaniasis causing chronic and destructive lesions. Accurate diagnosis is crucial for effective treatment. Traditional methods, such as the Montenegro skin test is delayed hypersensitivity test.
View Article and Find Full Text PDFTrop Med Infect Dis
December 2024
Evolutionary Ecology Group, Department of Biology, University of Antwerp, Campus Drie Eiken, Universiteitsplein 1, Wilrijk, 2610 Antwerp, Belgium.
is a vector of , the causative agent of cutaneous leishmaniasis. This study assessed the abundance and distribution of in different habitats and human houses situated at varying distances from hyrax (reservoir host) dwellings, in Wolaita Zone, southern Ethiopia. Sandflies were collected from January 2020 to December 2021 using CDC light traps, sticky paper traps, and locally made emergence traps.
View Article and Find Full Text PDFDermatopathology (Basel)
November 2024
Second Dermatology Department, School of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
The dermoscopic rainbow pattern (RP), also known as polychromatic pattern, is characterized by a multicolored appearance, resulting from the dispersion of polarized light as it penetrates various tissue components. Its separation into different wavelengths occurs according to the physics principles of scattering, absorption, and interference of light, creating the optical effect of RP. Even though the RP is regarded as a highly specific dermoscopic indicator of Kaposi's sarcoma, in the medical literature, it has also been documented as an atypical dermoscopic finding of other non-Kaposi skin entities.
View Article and Find Full Text PDFAnal Bioanal Chem
December 2024
Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, 51006, Tartu, Estonia.
The analysis of the volatile compounds released by biological samples represents a promising approach for the non-invasive diagnosis of a disease. The present study, focused on a population of dogs infected with canine leishmaniasis, aimed to decipher the volatolomic profile associated with this disease in dogs, which represent the main animal reservoir for Leishmania pathogen transmission to humans. The volatiles emitted by the breath and hair of dogs were analysed employing the gas chromatography-mass spectrometry (GC-MS) technique.
View Article and Find Full Text PDFHealth Place
December 2024
Ingerod, SE-454 94, Brastad, Sweden, Formerly UNICEF/UNDP/World Bank/WHO Special Programme for (Research and Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland. Electronic address:
Spatial modelling was employed to identify high-risk zones for the transmission of cutaneous leishmaniasis in hyperendemic urban environments, focusing on Mashhad, Iran. Data analysis from 3033 CL patients (2016-2020) integrated socio-demographic, environmental, and geological factors using negative binomial regression and the technique for order of preference by similarity to ideal solution (TOPSIS) model. Findings indicate that 42.
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