An endemic focus of cutaneous leishmaniasis caused by Leishmania tropica was identified in the district of Bani Kinana, northern Jordan. Fifty-five autochthonous cases were detected from February to September 1994 in a population of about 50,000. Most cases (74.5%) were from the villages of Malka and Um-Quais. The lesions were typically small, dry and mostly located on the face and extremities. Multiple lesions were common. Incidence was higher in females than in males and familial clustering of cases was observed in houses on the outskirts of villages. A leishmanin survey showed a 23.3% positivity rate in the populations of Malka and Um-Quais. The rate of positivity was low in the younger age groups and increased with age. There was some evidence that the disease is a zoonosis in this focus.
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http://dx.doi.org/10.1016/0035-9203(95)90526-x | DOI Listing |
J Eur Acad Dermatol Venereol
January 2025
St Andrews Centre for Burns and Plastic Surgery, Broomfield Hospital, Chelmsford, Essex, UK.
Background: Cutaneous melanoma (CM) is the leading cause of skin cancer mortality with associated high healthcare costs. Up-to-date reporting of epidemiological trends for CM is required to project future trends, assess the burden of disease and aid evaluation of new diagnostic, therapeutic and preventative strategies.
Objectives: To describe the trends in CM mortality, incidence, mortality-to-incidence indices (MIIs) and disability-adjusted life years (DALYs) over the last three decades.
Arch Dermatol Res
January 2025
Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York City, New York, 10029, USA.
Vitiligo is a chronic autoimmune skin condition characterized by depigmentation due to the destruction of melanocytes. Recent research has identified potential links between vitiligo and alterations in both the gut and skin microbiomes. This systematic review aims to explore these microbiome changes and their potential role in the onset and progression of vitiligo.
View Article and Find Full Text PDFStat Comput
August 2024
Department of Mathematics, University of Texas at Arlington, Texas, USA 76019.
Cure rate models have been thoroughly investigated across various domains, encompassing medicine, reliability, and finance. The merging of machine learning (ML) with cure models is emerging as a promising strategy to improve predictive accuracy and gain profound insights into the underlying mechanisms influencing the probability of cure. The current body of literature has explored the benefits of incorporating a single ML algorithm with cure models.
View Article and Find Full Text PDFPharmaceutics
November 2024
UCIBIO (Applied Molecular Biosciences Unit), Laboratory of Pharmaceutical Technology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.
As life expectancy rises and modern lifestyles improve, there is an increasing focus on health, disease prevention, and enhancing physical appearance. Consumers are more aware of the benefits of natural ingredients in healthcare products while also being mindful of sustainability challenges. Consequently, marine bioactive compounds have gained popularity as ingredients in cosmetics and food supplements due to their diverse beneficial properties.
View Article and Find Full Text PDFLife (Basel)
December 2024
Institute of Dermatology, Department of Medical Area, University of Udine, 33100 Udine, Italy.
This literature review aims to comprehensively evaluate the clinical and dermoscopic presentations of common pediatric diseases among children with skin of color (SoC) while also addressing potential variations based on racial backgrounds. This review encompasses various conditions, such as nevi subtypes, viral infections, infestations, and inflammatory dermatoses, as well as hair diseases and abnormal vascular formations, occurring in pediatric populations. Overall, we identified 7 studies on nevi subtypes, 24 studies on skin infections, 6 on inflammatory dermatoses, 10 on hair diseases and disorders, and 14 on miscellaneous disorders that also satisfied our SoC- and race-specific criteria.
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