New algorithm dramatically cuts unnecessary antibiotic use in kids

An algorithm reduced rates of antibiotics use in kids treated at Tanzanian primary care facilities without compromising their chances of getting better.

A happy toddler boy sits in his mother' lap as a pediatrician leans over with a stethascope to listen to the child's heart
A new algorithm helps guide health care providers as to when to prescribe antibiotics, and when not to.
(Image credit: dragana991 via Getty Images)

A new algorithm helped doctors in Tanzania cut back on kids' antibiotics prescriptions by more than 46% without compromising the children's chances of recovery, a new study reveals.

Antibiotic overuse is a major driver of drug resistance worldwide, as it pressures bacteria to evolve new strategies to survive and grow even when exposed to antibiotics. This makes bacterial infections progressively harder to treat as existing antibiotics become less effective.

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Nicoletta Lanese
Channel Editor, Health

Nicoletta Lanese is the health channel editor at Live Science and was previously a news editor and staff writer at the site. She is a recipient of the 2026 AHCJ International Health Study Fellowship, with a project focused on antibiotic stewardship practices in Japan and the U.S. They hold a graduate certificate in science communication from UC Santa Cruz and degrees in neuroscience and dance from the University of Florida. Beyond Live Science, Lanese's work has appeared in The Scientist, Science News, the Mercury News, Mongabay and Stanford Medicine Magazine, among other outlets. Based in NYC, she also remains involved in dance and performs in local choreographers' work.