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International Journal of Dermatology, Venereology and Leprosy Sciences

2024, Vol. 7, Issue 2, Part A

Artificial intelligence in scabies diagnosis
Author(s)
Dhelya Widasmara and Mita Permatasari Araminta
Abstract
Scabies is an infectious skin disease caused by infestation of Sarcoptes scabiei var. hominis. Typical symptom of scabies is intense itching, especially at night, accompanied with a red, nodular skin rash. Scabies can be transmitted directly through skin-to-skin contact or indirectly through clothing, towels or bed sheets used by someone who is infected. Scabies is highly prevalent in environments where people live with close proximity such as Islamic boarding schools, dormitories, nursing homes and prisons. Since 2017, the WHO has classified scabies as one of the Neglected Tropical Diseases (NTD). The estimated global prevalence of scabies is between 100-200 million cases, with 455 million cases occurring annually. According to the Global Burden of Scabies Disease study in 2015, Indonesia ranked first for the highest number of scabies infections. Scabies is in the 3rd most common disease in Indonesia accounting for 5.77% of newly diagnosed skin cases. The highest prevalence of scabies in Indonesia was founf in Islamic boarding schools, reaching 76.9% in 2019. Scabies had a prevalence of 6% -8.7% and ranked as the second most common skin diseases in the Dermatology and Venereology outpatient clinic at Saiful Anwar General Hospital Malang from 2014 to 2018.
Pages: 12-15 | Views: 36 | Downloads: 13


International Journal of Dermatology, Venereology and Leprosy Sciences
How to cite this article:
Dhelya Widasmara, Mita Permatasari Araminta. Artificial intelligence in scabies diagnosis. Int J Dermatol Venereology Leprosy Sci 2024;7(2):12-15. DOI: 10.33545/26649411.2024.v7.i2a.186
International Journal of Dermatology, Venereology and Leprosy Sciences
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