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AI system maps dengue mosquito hotspots to aid Florida eradication effort

Researchers led by Benjamin Jacob at the University of South Florida are using artificial intelligence to pinpoint dengue-carrying mosquito breeding sites in Florida, where the disease has surged.

Benjamin Jacob and a group of scientists from the University of South Florida have developed an AI-driven platform to locate breeding grounds of dengue-transmitting mosquitoes. By integrating satellite photos, climate patterns and existing data on mosquito habitats, the system can quickly flag high-risk sites. The outbreak, centered in Hillsborough County near Tampa, has produced 425 locally acquired dengue cases alongside 288 imported infections.

The researchers share their findings with Florida state health agencies to direct eradication measures more efficiently. The initiative represents a novel use of technology to support public-health responses during a rising dengue season. Officials hope the targeted approach will reduce further spread of the disease.

Why it matters

Targeted AI mapping could speed mosquito control and limit dengue's spread in a state facing a sharp case increase.

In this story

dengue feverartificial intelligencemosquito breeding sitessatellite imageryweather patternspublic healthFlorida outbreakHillsborough County
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