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2019-06-12 - Colloque/Présentation - communication orale - Anglais - 1 page(s)

Shalukoma Chantal, Duez Pierre , Stévigny Caroline, Bogaert Jan, Visser M, "Application of a new ethnobotanical method 'PSSVV' in collecting data from traditional healers" in 19th International Congress of the International Society for Ethnopharmacology, Dresden, Allemagne, 2019

  • Codes CREF : Ethnographie (DI4122), Pharmacognosie (DI3410), Sciences pharmaceutiques (DI3400), Toxicologie pharmaceutique (DI3440)
  • 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. Ethnobotanical studies have successfully applied a series of methods to collect data. The method we set up and experimented deals with the ethnicity and geographical location of healers who were not willing to entirely share their local traditional knowledges. Objective. This method was investigated for its reliability in an ethnobotanical survey conducted through a the Kahuzi-Biega national park, in Eastern DR Congo. The survey involved 88 traditional healers from four ethnic groups. From 2010 to 2012, data on treated pathologies and used plants were collected and taxonomically verified. Method. The method “PSSVV”, a demanding method in terms of resources and time, was applied to ensure the reliability of data. It is synthetized through four steps: Pre-survey (PS), Survey (S), Data Verification (V), Data Validation (V). The goals of the study were largely explained to healers recognized as “specialists” who were mostly individually interviewed in 33 villages adjacent to the forest. Result. Our studies indicate an excellent convergence of collected data. The method has been reliable, despite the challenge of collecting data that reflect true ethnobotanical practices. Conclusion. This exploratory application of the “PSSVV” method suggests that this technique is helpful to record reliable data. But it deserves to be popularized so that it can be tested by others scientists for best conclusions, mostly where the access to data is difficult.