RESUMO
Science has advanced to the point that traditional medicine is now a useful instrument for treating a wide range of human ailments. Indigenous peoples and local communities (IPLCs) do not, however, have access to the contemporary healthcare system. As a result, they turn to biological resources, which are the only readily available and accessible means of treating diseases like COVID-19 and flu outbreaks. In response to worldwide illnesses, this study aligns with the perspectives of traditional knowledge of biological resources, particularly therapeutic plants. Therefore, this study was aimed to document the use of the potential of medicinal plants by IPLCs in the Lomié subdivision to manage COVID-19 symptoms. In four villages in the Lomié subdivision Ekom, Payo, Eschiambor, and Kongo, ethnobotanical surveys, including semi-structured interviews on traditional usage of plants against Covid-19 symptoms, were carried out with 80 participants in order to meet all of the study specific objectives. For every species, a vulnerability index was established in order to evaluate the species fragility. To analyze the data, both descriptive and inferential statistics were applied. The findings show that the respondents are well aware of the symptoms of the COVID-19 and that gave them the ability to provide timely and efficient responses. The survey identified 43 species from 39 genera grouped in 28 families were used to treat COVID-19 symptoms, with bark being the most commonly used plant part (43.8%). Decoction was the most frequently used method of preparation (50%), and oral administration was the main route of administration (56.3%). Most of the plant species were harvested from secondary forests (44.2%), of which trees formed 48.8%. A total of 30 species were recorded to be vulnerable, with Entandrophragma cylindricum (Sprague) Sprague, Milicia excelsa (Welw.) Benth, Myrianthus arboreus P. Beauv., and Trichoscypha aborea (A. Chev.) A. Chev being the most vulnerable, with vulnerability index of 2.4. The results showed a strong non-causal relationship between vulnerability and the continuous and discontinuous explanatory parameters. The susceptibility of medicinal plants used to treat COVID-19 symptoms and the explanatory parameters had a statistically significant causal association, according to the binomial logistic regression model. In light of novel diseases like COVID-19, this study finds that traditional knowledge of medicinal plants is still widely held, especially among the indigenous and local population. It can also be very beneficial in the development of new medications for a variety of illnesses.
