How Mosquitoes Hunt: Bayesian Models Reveal the Science Behind Disease Transmission

Researchers from Georgia Institute of Technology and MIT have created the first quantitative model of how mosquitoes locate humans, revealing that these disease vectors rely on both carbon dioxide and visual cues—particularly color—when hunting. Using Bayesian inference to analyze 53 million flight path data points, the team discovered that mosquito behavior can be compressed into fewer than 30 mathematical parameters, offering unprecedented insights into mechanisms that drive malaria, dengue, and Zika transmission. This breakthrough establishes a scientific foundation for developing novel prevention strategies beyond traditional chemical approaches.