Researchers model mosquito flight toward humans using visual and CO2 cues

Scientists from Georgia Tech and MIT have developed a mathematical model explaining how female Aedes aegypti mosquitoes navigate to humans. The study shows insects respond independently to dark visual cues and carbon dioxide rather than following each other. Findings could improve mosquito traps and disease control.

Researchers from Georgia Tech and the Massachusetts Institute of Technology analyzed 20 million data points from hundreds of mosquitoes swarming a human subject. Using 3D infrared cameras in a controlled chamber, they tracked female Aedes aegypti mosquitoes, known as yellow fever mosquitoes and common in the southeastern United States, California, and worldwide. These insects transmit diseases like malaria, yellow fever, and Zika, causing over 700,000 deaths annually. The team published their work in Science Advances in 2026 (DOI: 10.1126/sciadv.adz7063). They also created an interactive website for exploring mosquito behavior. The model reveals mosquitoes do not follow one another but react individually to environmental signals, clustering coincidentally. David Hu, a Georgia Tech professor in mechanical engineering and biological sciences, compared it to a crowded bar: customers arrive independently due to shared attractions like drinks and music. Experiments varied visual targets and CO2 levels. A black sphere attracted approaching mosquitoes, but they rarely lingered. A white object with CO2 drew them only at close range, prompting brief pauses. Combining a black object and CO2 produced the strongest response: swarming, lingering, and feeding attempts. Christopher Zuo, a former Georgia Tech master's student, noted: They're like little robots. We just had to figure out their rules. In human tests, Zuo wore outfits of different colors— all black, all white, or mixed—with arms extended. Cameras recorded paths analyzed at MIT. Mosquitoes clustered most around his head and shoulders, typical targets for the species. Co-authors include Soohwan Kim, Chenyi Fei, Alexander Cohen, and Ring Carde. Zuo suggested intermittent traps mimicking cues, as mosquitoes do not persist without both signals.

Makala yanayohusiana

Illustration depicting a pregnant woman attracting mosquitoes due to specific scent compounds like octenol, with researchers studying the phenomenon in a lab.
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Researchers explain why mosquitoes are drawn to pregnant women

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Researchers from institutions including Sweden's Swedish University of Agricultural Sciences (SLU) have discovered why certain women, especially pregnant ones, attract mosquitoes. They identified 27 chemical compounds in scent samples, with octenol playing a key role. The finding could improve mosquito traps and repellents.

Researchers at the Kenya Medical Research Institute (KEMRI) have issued a warning after detecting a new Anopheles mosquito species in urban areas. This mosquito prefers human-made environments and could heighten malaria risks in cities. Monitoring efforts continue across several counties.

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Scientists in Brazil and Peru are using machine learning for early outbreak predictions and Wolbachia-infected mosquitoes to curb dengue fever, amid rising cases fueled by climate change. In Lima, a 2024 epidemic overwhelmed hospitals, prompting adaptations now informing regional strategies. These efforts offer models as subtropical U.S. areas report local transmissions.

Researchers have discovered a protein called Aurora-related kinase 1 (ARK1) that is vital for the malaria parasite's cell division. Disabling ARK1 in experiments halted the parasite's ability to replicate in both human and mosquito hosts. The finding, published in Nature Communications, highlights a potential target for new antimalarial drugs.

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Honey bees perform their waggle dance more precisely when more hive mates watch, according to a new study. Researchers found that dancers adjust their movements to attract followers, sacrificing accuracy for engagement when audiences are small. The findings highlight the social dynamics of bee communication.

Researchers have used a synchrotron particle accelerator, robotics, and AI to create high-resolution 3D models of ants from 800 species. The project scanned 2,000 specimens in just one week, far faster than traditional methods. This effort, called Antscan, aims to build a digital library of insect biodiversity.

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