Federally funded researchers are building an artificial intelligence tool to predict when Florida’s coastal waters could carry dangerous Vibrio bacteria. The lead scientist acknowledges the infections remain uncommon.

University of Florida researchers, working with the University of Maryland, are developing the system with a $3.6 million National Institutes of Health grant, WFTV reported. The project, called VIGOR, uses satellite data and AI to flag conditions tied to higher bacterial risk, especially after algal blooms, hurricanes and flooding.

UF environmental engineering professor Antarpreet Jutla said the team is tracking three species: Vibrio parahaemolyticus, Vibrio vulnificus, the so-called flesh-eating strain, and Vibrio alginolyticus. He cited CDC data showing case counts rising nationally. He also conceded, “This infection is still rare,” saying the goal is to get ahead of the trend before it becomes common.

Taxpayers should not expect quick results. Reports on the project say researchers plan a year of intensive water sampling in Tampa Bay, then two to three more years of development before a working prototype exists. If it works, the tool could eventually give beach managers, shellfish harvesters and swimmers roughly two to three weeks of warning. The long-term plan is a real-time platform that feeds alerts and water-quality information to government agencies and the public.

Residents don’t need to wait for a prototype to cut their risk. Researchers say people are mainly exposed by eating contaminated seafood or by seawater entering an open wound. Both routes are avoidable with ordinary caution.

Supporters see an early-warning system as a worthwhile public health investment. Others may ask whether a multimillion-dollar, multiyear federal project is the best use of research dollars for an infection its own lead scientist calls rare.

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