VetAfrica

Target SDGs

Target Users (Target Impact Group)

Household

Distributors / Implementing Organizations

The mobile application is available on the Microsoft App Store.

Competitive Landscape

Direct competitors include M-Farm, Esoko, and iCow.

Manufacturing/Building Method

Mobile application development in partnership with Microsoft.

Intellectural Property Type

Open-source

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.

Design Specifications

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.

Product Schematics

Technical Support

Users can get technical support from the mobile application designers.

Replacement Components

N/A

Lifecycle

N/A

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.

Safety

N/A

Complementary Technical Systems

N/A

Academic Research and References

Compliance with regulations

None

Evaluation methods

The mobile app was evaluated for its accuracy in diagnosing livestock diseases by a professor in University of Strathclyde and the evaluation done showed that the app is effective for diagnosis.

Other Information

Microsoft-backed VetAfrica app helps East Africa farmers in disease diagnosis Smartphone App that Diagnoses Diseases in Livestock in Ethiopia