Mosquitoes aren’t following each other—they’re all zeroing in on the same deadly combination of breath and dark targets.
Georgia Institute of Technology
After closely tracking hundreds of mosquitoes swarming
around a human subject and analyzing 20 million data points, researchers from
Georgia Tech and the Massachusetts Institute of Technology developed a
mathematical model that predicts how female mosquitoes fly toward people to
feed.
A picture of mosquito trajectories around a person
in a mosquito chamber. Credit: Georgia Tech/MIT
This research offers the first detailed visualization of
mosquito flight behavior and provides measurable data that could improve
trapping and control methods. Beyond being irritating, mosquitoes spread
dangerous diseases such as malaria, yellow fever, and Zika, which together
cause more than 700,000 deaths each year.
The team also launched an interactive public website that
lets users explore mosquito movement and behavior.
Tracking Mosquito Flight With 3D Imaging
To understand how mosquitoes navigate, scientists used 3D
infrared cameras to observe how the insects moved around objects using visual
signals and carbon dioxide. They then introduced a person into a controlled
chamber, changed his clothing colors, and recorded how mosquitoes flew around
him.
The findings, published in Science Advances,
focused on female Aedes aegypti mosquitoes (also called yellow
fever mosquitoes), a species common in the southeastern United States,
California, and many regions worldwide.
Mosquitoes Follow Signals, Not Each Other
The data suggests mosquitoes do not gather because they
follow one another. Instead, each insect responds independently to
environmental cues, yet they end up clustering in the same place at the same
time.
"It's like a crowded bar," said David Hu, a
professor in Georgia Tech's George W. Woodruff School of Mechanical Engineering
and the School of Biological Sciences. "Customers aren't there because
they followed each other into the bar. They're attracted by the same cues:
drinks, music, and the atmosphere. The same is true of mosquitoes. Rather than
following the leader, the insect follows the signals and happens to arrive at
the same spot as the others. They're good copies of each other."
The Powerful Combination of Visual Cues and CO2
The researchers ran three experiments that adjusted visual
targets and carbon dioxide levels. In the first test, a black sphere drew
mosquitoes in, but only when they were already flying toward it. After reaching
the object, they usually did not stay and quickly moved on.
When the team replaced the black object with a white one and
added carbon dioxide, mosquitoes were able to locate the source, but only at
close range. Hu observed the insects pausing briefly, almost as if doing a
"double take," before gathering nearby.
When both a black object and CO2 were
present together, the effect was strongest. Mosquitoes swarmed the area,
lingered, and attempted to feed.
"Previous studies had shown that visual cues and carbon
dioxide attract mosquitoes. But we didn't know how they put those cues together
to determine where to fly," said Christopher Zuo, who conducted the study
as a Georgia Tech master's student. "They're like little robots. We just
had to figure out their rules."
Human Tests Reveal Where Mosquitoes Target
After identifying the importance of still visual cues, Zuo
tested the behavior on himself. He entered a chamber wearing different outfits,
including all black, all white, and mixed clothing.
Standing with his arms extended, he allowed dozens of
mosquitoes to fly around him while cameras recorded their paths. The data was
later analyzed at MIT to determine the most likely rules guiding their
movement.
The mosquitoes behaved as if Zuo were simply another object.
The largest clusters formed around his head and shoulders, which are the areas
the species most commonly targets.
Luo wore a long-sleeved sweatshirt, pants, and head covering
in the chamber. He said he wasn't bitten very often.
Interactive Model Shows Mosquito Behavior
The team's interactive model and website illustrate how
mosquitoes change direction, accelerate, and slow down based on visual signals
and CO2. Users can switch between different conditions, including
color, carbon dioxide, both, or neither, and observe how up to 20 mosquitoes
respond. The platform also allows users to upload custom images as targets.
New Insights Could Improve Mosquito Control
The researchers believe their findings could lead to more
effective pest control strategies.
"One tactic is using suction traps that rely on steady
cues, such as continuous CO2 release or constant light sources,
to attract mosquitoes," Zuo said. "Our study suggests using them
intermittently, then activating suction at intervals, might be better. That's
because mosquitoes don't tend to stick around their target when both clues
aren't used at the same time."
Zuo and Hu collaborated with mechanical engineering Ph.D.
candidate Soohwan Kim. Additional co-authors include MIT's Chenyi Fei and
Alexander Cohen, along with Ring Carde of the University of California at
Riverside.
- Journal Reference:
- Christopher
Zuo, Chenyi Fei, Alexander E. Cohen, Soohwan Kim, Ring T. Cardé, Jörn
Dunkel, David L. Hu. Predicting mosquito flight behavior using
Bayesian dynamical systems learning. Science Advances,
2026; 12 (12) DOI: 10.1126/sciadv.adz7063