– Beyond Farm Level Management: How Can Community Partnership Teams Enhance Management of Antibiotic-Resistant Bacteria on Livestock Operations INTRODUCTION The emergence of antibiotic resistant bacteria in agriculture and its implications for livestock and human health is a growing concern. Research and policy focuses on the role of individual farms to prevent the emergence of antimicrobial resistance (AMR). Assuming that the drivers of AMR are determined within the boundaries of a single farm may not be accurate. We are testing if aggregate patterns of farm sizes, landscape characteristics, and antimicrobial use across an entire community of farms, influences AMR. For example, the presence of non-resistant (susceptible) bacteria in untreated livestock or wildlife may dilute populations of resistant bacteria, resulting in treatable rather than resistant infections. This is a hypothesized phenomenon, illustrated below: METHODS To build trust on a local level, Community Partnership Teams (CPTs), made up of local extension agents, veterinarians, and agricultural community leaders in each county will be formed. The teams will help coordinate between researchers and producers to improve the quality of research data, and ensure findings contribute to local community dialogues. CPTs will collaborate with researchers to: 1. Design Research Methods – Identify representative farms and study sites; develop data collection protocols, interpret results 2. Communicate About Project -- Discuss objectives of study with potential participants, increase transparency within communities 3. Develop teaching and outreach materials to stimulate awareness and discussion of ecological dynamics in local farm landscape. 4. Provide a Voice to each community OUTCOMES Resilient Community Partnerships Diverse understanding of existing AMR profiles across multiple landscapes and Implications for sustainable agriculture BIBLIOGRAPHY 1. Park, A. W., Haven, J., Kaplan, R., & Gandon, S. (2015). Refugia and the evolutionary epidemiology of drug resistance. Biology Letters, 11(11), 89–109. https://doi.org/10.1098/rsbl.2015.0783 ACKNOWLEDGEMENTS College of Veterinary Medicine / Department of Veterinary Preventive Medicine / School of Environment and Natural Resources RESEARCH QUESTIONS 1) How do patterns of farm scale, land-use, and antibiotic use interact to create patterns of antimicrobial resistance in a community? 2) Will protecting the viability of small/mid-sized farms play a role in reducing risks of AMR? COUNTY CHARACTERISTICS Mercer : Larger operations and homogenous landscape Wayne : Diversity of large, mid- and small size operations; Mix of land-use (forest & farm) Muskingum : Fewer and predominantly small-sized operations; most wild and diverse landscape Ohio Extension Offices Wayne Co. Farm Bureau Killbuck Veterinary Assoc. DATA AND ANALYSIS One-on-one interviews with Farmers On-Farm Environmental Samples Disease Models to evaluate how patterns of farm scale, land-use, and antibiotic use interact to create patterns of AMR . MODEL What are your IDEAS about enhancing our COMMUNITY PARTNERSHIP? Funding was provided by The Ohio State University’s Initiative for Food and AgriCultural Transformation (InFACT), a Discovery Themes program. Learn more at discovery.osu.edu/infact Sarah Mielke , Caroline Brock, Rebecca Garabed, Doug Jackson-Smith, Mark Flint, Kelly George, Stephen Matthews, Tom Wittum E-mail: mielke.153 @osu.edu with interest in collaboration or suggestions.
College of Veterinary Medicine / Department of Veterinary Preventive Medicine / School of Environment and Natural Resources
Beyond Farm Level Management: How Can Community Partnership Teams
Enhance Management of Antibiotic-Resistant Bacteria on Livestock Operations
Sarah Mielke, Caroline Brock, Rebecca Garabed, Doug Jackson-Smith, Mark Flint, Kelly George, Stephen Matthews, Tom Wittum
INTRODUCTION
RESEARCH QUESTIONS
The emergence of antibiotic resistant bacteria in
agriculture and its implications for livestock and
human health is a growing concern. Research
and policy focuses on the role of individual
farms to prevent the emergence of antimicrobial
resistance (AMR).
1) How do patterns of farm scale, land-use, and
antibiotic use interact to create patterns of
antimicrobial resistance in a community?
METHODS
To build trust on a local level, Community
Partnership Teams (CPTs), made up of local
–
extension agents, veterinarians, and
agricultural community leaders in each county
will be formed. The teams will help coordinate
between researchers and producers to improve
the quality of research data, and ensure findings
contribute to local community dialogues.
CPTs will collaborate with researchers to:
DATA AND ANALYSIS
One-on-one interviews with Farmers
On-Farm Environmental Samples
Disease Models to evaluate how patterns of
farm scale, land-use, and antibiotic use
interact to create patterns of AMR .
2) Will protecting the viability of small/mid-sized
farms play a role in reducing risks of AMR?
Assuming that the drivers of AMR are
determined within the boundaries of a single
farm may not be accurate. We are testing if
aggregate patterns of farm sizes, landscape
characteristics, and antimicrobial use
across an entire community of farms,
influences AMR.
For example, the presence of non-resistant
(susceptible) bacteria in untreated livestock or
wildlife may dilute populations of resistant
bacteria, resulting in treatable rather than
resistant infections. This is a hypothesized
phenomenon, illustrated below:
COUNTY CHARACTERISTICS
Mercer: Larger operations and
homogenous landscape
MODEL
Wayne: Diversity of large,
mid- and small size
operations; Mix of land-use
(forest & farm)
Muskingum: Fewer and
predominantly small-sized
operations; most wild and diverse
landscape
OUTCOMES
1. Design Research Methods – Identify
representative farms and study sites; develop
data collection protocols, interpret results
Resilient Community Partnerships
Diverse understanding of existing AMR
profiles across multiple landscapes and
Implications for sustainable agriculture
2. Communicate About Project -- Discuss
objectives of study with potential participants,
increase transparency within communities
BIBLIOGRAPHY
3. Develop teaching and outreach
materials to stimulate awareness and
discussion of ecological dynamics in
local farm landscape.
4. Provide a Voice to each community
1. Park, A. W., Haven, J., Kaplan, R., & Gandon, S. (2015). Refugia and the
evolutionary epidemiology of drug resistance.
Biology Letters, 11(11), 89–109.
https://doi.org/10.1098/rsbl.2015.0783
What are your IDEAS
about enhancing our
COMMUNITY PARTNERSHIP?
E-mail: mielke.153@osu.edu with interest in
collaboration or suggestions.
ACKNOWLEDGEMENTS
Funding was provided by The Ohio State
Ohio Extension Offices
University’s Initiative for Food and AgriCultural
Wayne Co. Farm Bureau Transformation (InFACT), a Discovery Themes
Killbuck Veterinary Assoc. program. Learn more at
discovery.osu.edu/infact
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