BIODIV-AFREID

 

Period of Funding: 1 March 2020 to 28 February 2023

Link to Project Website https://www.uantwerpen.be/en/projects/biodiv-afreid/
Project Number  
Funding Agency Biodiversa+ European Biodiversity partnership
Lead Organization Name Universiteit Antwerpen
Lead Organization Country Belgium
Link to Lead Organization Website https://www.biodiversa.eu/2022/10/31/biodiv-afreid/
Link to Open Science Framework (OSF) public page  

List of Partner Institutions:

 

Royal Belgian Institute of Natural Sciences Belgium https://www.naturalsciences.be/en
University of Kisangani Democratic Republic of Congo https://ulikis.net
National Biomedical Research Institute Democratic Republic of Congo https://inrb.net
VIH and infectious diseases (TransVIHMI) – IRD France https://transvihmi.ird.fr/accueil/
Robert Kock Institute Germany https://www.rki.de/EN/Home/home_node.html
OneHealth for all Ivory coast  

 

List of Sampling Locations:

Democratic Republic of Congo Thuapa
Democratic Republic of Congo Bas Uele
Ivory Coast Thai National park
Democratic Republic of Congo Maniema
Democratic Republic of Congo Thsopo

BIODIV-AFREID investigated how biodiversity conditions (dis)favour transmissions of infectious agents from small mammals into human populations in African forests. It has:

linked changes in biodiversity to changes in communities of reservoirs and the pathogens they carry link differences in these reservoir communities to human health
The study will include a variety of viruses (Arenaviruses, Coronaviruses and Hantaviruses) but will have a specifc focus on two pathogens with an increasing frequency: Ebola and Monkeypox virus. Both are emerging from the African rainforest and cause major concerns for public health.

Field of action:

Animal (Vertebrates [Insectivores, Rodents, Chiroptera, CarnivoresArtiodactyls, Primates]), Microbes/Parasites (Viral, Bacterial), Environments (Tropical rainforest, Tropical dry forest), Environmental changes (Deforestation, Urbanization, Agriculture, Reforestation, Restoration), Disease metrics (Seroprevalence [animal], Seroprevalence [human], Prevalence [animal], Genomics)

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