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Global surveillance of antimicrobial resistance in food animals using priority drugs maps

Veterinary Science

Global surveillance of antimicrobial resistance in food animals using priority drugs maps

C. Zhao, Y. Wang, et al.

Explore the alarming rise of antimicrobial resistance in food animals across low- and middle-income countries, as revealed by an extensive study conducted by Cheng Zhao, Yu Wang, Ranya Mulchandani, and Thomas P. Van Boeckel. Discover the hotspots of resistance and the future implications for public health through their groundbreaking research!

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~3 min • Beginner • English
Abstract
Antimicrobial resistance (AMR) in food animals is a growing threat to animal health and potentially to human health. In resource-limited settings, allocating resources to address AMR can be guided with maps. Here, we mapped AMR prevalence in 7 antimicrobials in Escherichia coli and nontyphoidal Salmonella species across low- and middle-income countries (LMICs), using 1088 point-prevalence surveys in combination with a geospatial model. Hotspots of AMR were predicted in China, India, Brazil, Chile, and part of central Asia and southeastern Africa. The highest resistance prevalence was for tetracycline (59% for E. coli and 54% for nontyphoidal Salmonella, average across LMICs) and lowest for cefotaxime (33% and 19%). We also identified the antimicrobial with the highest probability of resistance exceeding critical levels (50%) in the future (1.7–12.4 years) for each 10 × 10 km pixel on the map. In Africa and South America, 78% locations were associated with penicillins or tetracyclines crossing 50% resistance in the future. In contrast, in Asia, 77% locations were associated with penicillins or sulphonamides. Our maps highlight diverging geographic trends of AMR prevalence across antimicrobial classes, and can be used to target AMR surveillance in AMR hotspots for priority antimicrobial classes.
Publisher
Nature Communications
Published On
Jan 26, 2024
Authors
Cheng Zhao, Yu Wang, Ranya Mulchandani, Thomas P. Van Boeckel
Tags
antimicrobial resistance
food animals
low- and middle-income countries
geospatial model
prevalence
surveillance
hotspots
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