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2016-01-01 - Article/Dans un journal avec peer-review - Anglais - 16 page(s)

Shalukoma C, Duez Pierre , Bigirimana J., Bogaert J, Stévigny C, Pongombo S.C., Visser M, "Characterization of traditional healers in the mountain forest region of Kahuzi-Biega, South-Kivu, DR Congo" in Biotechnologie, Agronomie, Société et Environnement = Biotechnology, Agronomy, Society and Environment, 20, 1, 25-41, http://www.pressesagro.be/base/text/v20n1/25.pdf

  • Edition : Presses Agronomiques de Gembloux, Gembloux (Belgium)
  • Codes CREF : Chimie analytique (DI1314), Pharmacognosie (DI3410), Sciences pharmaceutiques (DI3400)
  • Unités de recherche UMONS : Chimie thérapeutique et Pharmacognosie (M136)
  • Instituts UMONS : Institut des Sciences et Technologies de la Santé (Santé)
Texte intégral :

Abstract(s) :

(Anglais) Description of the subject. Several ethnobotanical studies have demonstrated links between traditional medicine practices and the ethnicity and geographical location of healers, while many others have concluded the opposite. This study deals with the typology of traditional healers in the mountain region of Kahuzi-Biega. Objectives. The goal is to understand whether the typology of traditional healers is related to their inter-ethnic and inter-zonal differences, based on diseases treated and plants used. Method. Ethnobotanical surveys were conducted using the “PSSVV” method. This involved 88 traditional healers recognized as “specialists” in 33 villages adjacent to the forest of Kahuzi-Biega, in DR Congo. Multivariate analysis (clustering, ordination, Mantel test, IndVal) were applied to establish typologies of traditional healers. Results. Multivariate analyses showed that ethnicity and geographical location did not explain the practices and knowledge of healers. However, by using the IndVal method, differences were observed in their degree of specialization. Non-specialized healers (70%) could be distinguished from specialized healers (30%). Two clear groups of specialists emerged; those who treat bone trauma and those who treat obstetric-gynecological complaints. The Mantel correlation test revealed a positive association (r = 0.134, p < 0.05) between the “healers-plants” and “healers-diseases” matrices. This indicates that healers who treat similar diseases use similar herbs. Both typologies have shown their preferences for forest species (81%), especially trees (51%). Conclusions. This exploratory study suggests that traditional healers are characterized based on their specializations. This result helps in creating strategies to preserve local traditional knowledge and apply it to the conservation of species.