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

Cheng Zhao, Yu Wang, Ranya Mulchandani and Thomas P. Van Boeckel ()
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Cheng Zhao: ETH Zürich
Yu Wang: ETH Zürich
Ranya Mulchandani: ETH Zürich
Thomas P. Van Boeckel: ETH Zürich

Nature Communications, 2024, vol. 15, issue 1, 1-10

Abstract: 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 (LIMCs), 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.

Date: 2024
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DOI: 10.1038/s41467-024-45111-7

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