Lot Quality Assurance Sampling as a tool for surveillance of antimicrobial resistance

Abstract

Empirical antibiotic treatment requires good insight in the prevalance of antimicrobial resistance (AMR). Conventional prevalence surveys are time consuming, costly, and provide aggregated estimates. The presentation introduces the LQAS methodology to rapidly classify well-defined populations as having high- or low prevalence of AMR, facilitating appropriate antibiotic treatment strategies at a local level.

Date
Event
Amsterdam Public Health Research Institute seminar
Location
Amsterdam, the Netherlands
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Frank van Leth
Associate Professor of Global Health