InFARM in action: How to use the system

This course aims to develop the knowledge and skills that antimicrobial resistance (AMR) focal points need to submit surveillance questionnaire and validated data to the InFARM IT platform. The course is also available for national personnel that, not being AMR focal points, have a strong interest in AMR and InFARM. It should be studied as a continuation of the self-study course “InFARM essentials: An overview", available on the Virtual Learning Centers learning platform.

The course is delivered in a tutored format, allowing interaction with InFARM experts and other users of the system. It combines different training resources, namely two short interactive modules, six video tutorials to show how to navigate the InFARM platform, access to the InFARM training environment, live sessions and a discussion forum. It also includes an optional part to learn how to use WHONET.


Study time		9-13 hours.

Duration		3 weeks.

Languages currently available		English.

Target audience		Veterinarians in public or private practice, veterinary laboratory specialists, animal health officers and field epidemiologists, paraveterinarians and animal health technicians, faculty members and students of veterinary and animal sciences, stakeholders engaged in small ruminant health, including extension agents, researchers, and policy advisor.

Learning objectives		Enroll your country into the InFARM platform  Prepare AMR data for submission to the InFARM IT platform Review AMR data for submission to the InFARM IT platform  Submit AMR data into the platform  Use InFARM interactive data visualization for national data reporting

Course structure		The course consists of two, self-paced modules and interactive training sessions. You can study these at a time and place that suits you and use them as a ready-reference resource as needed. The course supports multiple platforms and can be studied on a smartphone, computer, or tablet device.

Topics covered		Data preparation and sharing options in InFARM  Data transformation, cleaning, verification and validation for submission to InFARM WHONET (Optional)