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1.
Commun Biol ; 5(1): 844, 2022 08 19.
Article in English | MEDLINE | ID: covidwho-2000941

ABSTRACT

Host-virus associations have co-evolved under ecological and evolutionary selection pressures that shape cross-species transmission and spillover to humans. Observed virus-host associations provide relevant context for newly discovered wildlife viruses to assess knowledge gaps in host-range and estimate pathways for potential human infection. Using models to predict virus-host networks, we predicted the likelihood of humans as hosts for 513 newly discovered viruses detected by large-scale wildlife surveillance at high-risk animal-human interfaces in Africa, Asia, and Latin America. Predictions indicated that novel coronaviruses are likely to infect a greater number of host species than viruses from other families. Our models further characterize novel viruses through prioritization scores and directly inform surveillance targets to identify host ranges for newly discovered viruses.


Subject(s)
Viruses , Zoonoses , Africa , Animals , Animals, Wild , Host Specificity , Humans , Zoonoses/epidemiology
2.
Journal of Applied Biosciences ; 168:17456-17467, 2021.
Article in French | CAB Abstracts | ID: covidwho-1727466

ABSTRACT

Objective: This study was conducted to identify medicinal plants in the fight against Coronavirus disease, influenza and colds cited by travelers who came for their Covid test at the Institut Pasteur of C..te d'Ivoire. Methodology and Results: A semi-structured interview was conducted with 527 travelers from April 1 to June 30, 2021. The interviewed travelers were predominantly male (69.4%). Travelers going to France (28.46%) were the most numerous. The most represented age groups were 41-64 (43.83%) and 25-40 (43.26%). When the level of education is considered, the surveyed travelers have a higher level of education (89.94%). Entrepreneurs (13.85%), traders (12.66%), company directors (12.33%), students (8.54%) and health workers (6.45%) are the majority. Only 21.63% of travelers used traditional medicine in the last 12 months prior to the survey. Various plants are used to fight (33.43%) or prevent (56.57%) Coronavirus disease (7.02%), influenza (3.60%) and colds (2.84%). In total, 13 species of medicinal plants divided into 13 genera and 13 families were cited. Azadirachta indica (Meliaceae) with citation frequencies (cf) of 22%, Zingiber officinale (Zingiberaceae) with cf of 21% and Citrus limon (Rutaceae) with cf of 14% were the most cited species. Conclusion and application of results: These plants could be used for research and development of phytomedicines against Coronavirus, influenza and cold.

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