One Health Trust researcher Thomas P. Van Boeckel co-authored a study that used prevalence estimates of antimicrobial resistance (AMR) from 31 European countries to produce predictive geospatial models for Escherichia coli, nontyphoidal Salmonella, and Campylobacter spp. in food-producing animals across Europe. They found that the proportions of antimicrobials with over 50 percent resistance (P50s) were lower for Salmonella than for E. coli and Campylobacter, possibly due to the European Union’s previous efforts to lower the prevalence of Salmonella.

In 9 out of 31 countries, more than half of cattle, pigs, and poultry are estimated to be raised in areas predicted to be AMR hotspots by the researchers’ model. The researchers also observed that the similarity between average P50s derived from subnational point prevalence surveys (PPS) and those from national survey data differed by country, likely due to varying sample sizes across countries.

Read the full article published in Emerging Infectious Diseases here.