Antimicrobial Resistance Dashboard 2022-2023 Cooperative Agreements
Department of Agriculture Animal and Plant Health Inspection Service
Type
Contract/tender
Posted on:
Application Deadline:
Expired
Reference Number
USDA-APHIS-10025-VSSP0000-23-0003
The U.S. Department of Agriculture (USDA), Animal and Plant Health Inspection Service (APHIS), Veterinary Services (VS) is announcing the availability of up to $3 million in funds in the Antimicrobial Resistance Dashboard (AMR Dashboard) to support projects in the topic areas listed below.Topic 1. Develop antimicrobial resistance dashboard tools that can securely track the emergence and spread of antimicrobial resistant microbes in domesticated animals. The dashboard tool must also include the following elements:a. Ensure similar confidentiality protections to the Confidential Information Protection and Statistical Efficiency Act.b. Must be able to track phenotype and/or genotype of microbes.c. This could include dashboards that help us identify new research questions and perspectives on antimicrobial resistance in domesticated animals.Topic 2. Identify and/or develop methods for protecting confidentiality of data related to antimicrobial resistance in domesticated animals.a. This could include developing statistical approaches to improve confidentiality of antimicrobial resistance data in domesticated animals.Topic 3. Identify data user needs and preferences for antimicrobial resistance dashboard tools.2a. This could include necessary elements for using antimicrobial resistance dashboard tools to monitor trends in antimicrobial resistance patterns in domesticated animals.b. This could include preferences for visualizing antimicrobial resistance data in domesticated animals for different intended audiences, such as domesticated animal owners/producers, veterinarians, diagnostic laboratories, or the general public.Topic 4. Explore aspects of data management for antimicrobial resistance dashboard tools.a. This could include data acquisition, data transfer, data flow, data storage, data aggregation, and data analysis.
Categories: Agriculture.
Categories: Agriculture.
United States