Tools developed through the cooperative agreements will help to better understand antimicrobial resistance in livestock, poultry and companion animals.

November 22, 2022

3 Min Read
USDA announces $3m in funding for antimicrobial resistance dashboard

The USDA's Animal and Plant Health Inspection Service is making up to $3 million in cooperative agreement funding available to create antimicrobial resistance dashboards. Addressing AMR is important to APHIS, along with the agricultural and public health sectors, because antimicrobials are some of our most critical tools for treating serious infections and saving the lives of people and animals.

These dashboard tools, developed through public-private partnerships, will be used to improve access to information on antimicrobial resistance in domesticated animals. "Public-private partnerships are an essential part of achieving our goals at APHIS," said Administrator Kevin Shea. "The dashboard tools developed through these cooperative agreements will help us better understand antimicrobial resistance in livestock, poultry and companion animals, which ultimately helps protect public health."

Once created, the antimicrobial resistance dashboards will be used to monitor trends in antimicrobial resistance patterns, detect emerging resistance profiles and better understand relationships between antimicrobial use and animal health management practices and antimicrobial resistance. The projects will support APHIS' goals of:

  • Developing antimicrobial resistance dashboard tools that can securely track the emergence and spread of antimicrobial resistant microbes in domesticated animals.

  • Identifying and/or developing methods for protecting data confidentiality of these dashboards.

  • Identifying data user needs and preferences for antimicrobial resistance dashboard tools.

  • Exploring aspects of data management for antimicrobial resistance dashboard tools.

Eligible applicants include state departments of agriculture; Tribal entities; offices of state animal health officials; land-grant universities and other entities eligible to receive funds under a capacity and infrastructure program; colleges of veterinary medicine and college veterinary emergency teams; state or national livestock, poultry and aquaculture producer organizations with direct and significant economic interest in production; and state, national, allied or regional veterinary organizations or specialty boards recognized by the American Veterinary Medical Association.

All antimicrobial resistance dashboard tools developed will be required to provide data protections similar to the Confidential Information Protection and Statistical Efficiency Act.

The funding announcement will be open Nov. 16, 2022, to Feb. 15, 2023, for a total of 90 days. APHIS will post opportunities here and the agency will accept applications using the ezFedGrants system for non-federal entities and by email for federal entities.

This dashboard development effort will complement APHIS' ongoing work on antimicrobial resistance. With our extensive animal health expertise and strong federal, state and industry partnerships, APHIS plays a critical role in identifying antimicrobial resistance in diseases found in livestock and poultry, as well as domestic cats and dogs. APHIS' National Animal Health Monitoring System collects and evaluates information voluntarily provided by U.S. farmers and ranchers to better understand antimicrobial use in the context of overall animal health. Partner labs in the National Animal Health Laboratory Network look for antimicrobial resistance, supporting APHIS' work to monitor for trends and identify new or emerging resistance profiles, assess the continued usefulness of antibiotics over time, and provide actionable guidance to veterinarians, producers and other stakeholders.

Source: USDA APHIS, which is solely responsible for the information provided, and wholly owns the information. Informa Business Media and all its subsidiaries are not responsible for any of the content contained in this information asset. 

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