VetAfrica is a mobile application developed to help African vets and farmers diagnose diseases in livestock. It has been developed by Scottish based company Cojengo Ltd, with an additional hub, VetAfricaHub, an online data management dashboard to review, share, and act upon live surveillance data.
Glasgow is the headquarter of the mobile application where the software is developed. Testing was done in Kenya and Ethiopia. While doing the tests in Ethiopia, IDRC supported the research and development of the mobile app. The research was led by a team from the University of Prince Edward Island and peers based at the College of Veterinary Medicine and Agriculture at Addis Ababa University. The designers sell their services to local and country governments.
Distributors / Implementing Organizations
The mobile application is available on the Microsoft App Store
Mobile application development in partnership with Microsoft.
Intellectural Property Type
User Provision Model
Users can download the mobile app for access
Distributions to Date Status
VetAfrica-Ethiopia has supported collection and management of information relating to roughly 2,000 cattle cases from more than 20 rural centers throughout Ethiopia.
The mobile application was designed by Conjego in partnership with Microsoft and helps African farmers and vets diagnose diseases in livestock. Farmers use the app to select various symptoms that their livestock may be exhibiting to reach a diagnosis. The app has the ability to store and share the data gathered on disease surveillance and monitoring. This helps enable farmers to keep track of illnesses that are within the region and prepare for any future outbreaks. The app also helps veterinarians and others working with animals study what illnesses and diseases are present, how widespread they are, and whether or not they are curable.
Users can get technical support from the mobile application designers.
Manufacturer Specified Performance Parameters
This application was designed to help livestock farmers with diagnosis and disease surveillance of livestock.
Vetted Performance Status
Testing performed by a professor at University of Strathclyde showed that the app gave accurate diagnosis compared to real blood tests of livestock from Ethiopia.
Complementary Technical Systems
Academic Research and References
Beyene, J.T., Eshetu, A., Abdul, A., Etenesh, W., Bey, F.A., Tufa, B.T., Sami, I. and Revie, W.C., 2017, Assisting Differential Clinical Diagnosis of Cattle Diseases using Smartphone-Based Technology in Low Resource Settings: A Pilot Study, BMC Veterinary Research, PMC5679378
Beyene, J.T., Asfaw, F., Getachew, Y., Tufa, B.T., Iain, C., Bey, F.A. and Revie, W.C., 2018, A Smartphone Based Application Improves the Accuracy, Completeness and Timeliness of Cattle Disease Reporting and Surveillance in Ethiopia, Frontiers in Veterinary Science, PMC5776010
Compliance with regulations