Antimicrobial Resistance, Prescribing, and Consumption Data to Inform Country Antibiotic Guidance and Local Action – the ADILA project.

Doctors in low- and middle-income countries often prescribe antibiotics without knowing which ones will actually work against local infections. The ADILA project will build simple computer models that help countries turn their own surveillance data on antibiotic resistance into clear, actionable guidance for everyday prescribing. The problem is stark: antibiotic resistance data exists in many countries, but it is scattered, inconsistent, and rarely translated into practical rules for clinicians. Without local guidance, doctors rely on outdated international recommendations or guesswork, which fuels further resistance and harms patients. Current surveillance systems were designed for global reporting, not for informing a doctor’s decision at the bedside. If this project succeeds, countries will gain a straightforward framework to analyse their own resistance patterns and produce treatment guidelines tailored to local conditions. The models will be tested with partner countries during an early pilot phase, and the work links directly with WHO initiatives. The result could be a shift from passive data collection to active, patient-centred surveillance that supports real-time policy decisions on which antibiotics to use and which to reserve.