MAVSCOT : a fuzzy logic-based HIV diagnostic system with indigenous multi-lingual interfaces for rural Africa

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dc.contributor.authorOluwagbemi, Olugbenga Oluseunen_ZA
dc.contributor.authorOluwagbem, Folakemi Etseoghenaen_ZA
dc.contributor.authorJatto, Abdulwahaben_ZA
dc.contributor.authorHui, Cang
dc.contributor.otherDepartment of Mathematical Sciences
dc.date.accessioned2022-01-25T09:49:06Z
dc.date.available2022-01-25T09:49:06Z
dc.date.issued2020-11-06
dc.descriptionCITATION: Oluwagbemi, O. O., et al. 2020. MAVSCOT : a fuzzy logic-based HIV diagnostic system with indigenous multi-lingual interfaces for rural Africa. PLoS ONE 15(11): e0241864, doi:10.1371/journal.pone.0241864.
dc.descriptionThe original publication is available at https://journals.plos.org/plosone/
dc.descriptionPublication of this article was funded by the Stellenbosch University Open Access Fund
dc.description.abstractHIV still constitutes a major public health problem in Africa, where the highest incidence and prevalence of the disease can be found in many rural areas, with multiple indigenous languages being used for communication by locals. In many rural areas of the KwaZulu-Natal (KZN) in South Africa, for instance, the most widely used languages include Zulu and Xhosa, with only limited comprehension in English and Afrikaans. Health care practitioners for HIV diagnosis and treatment, often, cannot communicate efficiently with their indigenous ethnic patients. An informatics tool is urgently needed to facilitate these health care professionals for better communication with their patients during HIV diagnosis. Here, we apply fuzzy logic and speech technology and develop a fuzzy logic HIV diagnostic system with indigenous multi-lingual interfaces, named Multi-linguAl HIV indigenouS fuzzy logiC-based diagnOstic sysTem (MAVSCOT). This HIV multilingual informatics software can facilitate the diagnosis in underprivileged rural African communities. We provide examples on how MAVSCOT can be applied towards HIV diagnosis by using existing data from the literature. Compared to other similar tools, MAVSCOT can perform better due to its implementation of the fuzzy logic. We hope MAVSCOT would help health care practitioners working in indigenous communities of many African countries, to efficiently diagnose HIV and ultimately control its transmission.en_ZA
dc.description.urihttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0241864
dc.description.versionPublisher's version
dc.format.extent17 pages
dc.identifier.citationOluwagbemi, O. O., et al. 2020. MAVSCOT : a fuzzy logic-based HIV diagnostic system with indigenous multi-lingual interfaces for rural Africa. PLoS ONE 15(11): e0241864, doi:10.1371/journal.pone.0241864
dc.identifier.issn1932-6203 (online)
dc.identifier.otherdoi:10.1371/journal.pone.0241864
dc.identifier.urihttp://hdl.handle.net/10019.1/124139
dc.language.isoen_ZAen_ZA
dc.provenancePLoS ONE
dc.provenanceOpen Access journal
dc.provenancehttps://journals.plos.org/plosone
dc.provenanceCreative Commons Attribution License 4.0
dc.provenanceA Boyce 2022-01
dc.publisherPublic Library of Science
dc.rights.holderAuthors retain copyright
dc.subjectHIV (Viruses) -- Diagnosisen_ZA
dc.subjectHIV (Viruses) -- Treatment -- South Africaen_ZA
dc.subjectFuzzy logic -- Mathematical modelsen_ZA
dc.titleMAVSCOT : a fuzzy logic-based HIV diagnostic system with indigenous multi-lingual interfaces for rural Africaen_ZA
dc.typeArticleen_ZA
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