Evidence map›Paper›PMID 42192462›Full record

ReviewParasites & vectors2026

The evolution of mosquito baiting: from chemical and electronic methods toward AI.

Mustafa Mohammad Shaky, Rohan Reddy Kalavakonda, Sumaiya Afroz Mila, Ankan Ghosh, Michael Futo, Jeremiah Hidayat, Swarup Bhunia, Sandip Ray, Bianca C Burini

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Parasites & vectors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mustafa Mohammad ShakyDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA. mustafa.shaky@ufl.edu.
Rohan Reddy KalavakondaDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA.
Sumaiya Afroz MilaDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA.
Ankan GhoshDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA.
Michael FutoFlorida Medical Entomology Laboratory, University of Florida-IFAS, Vero Beach, FL, 32962, USA.
Jeremiah HidayatDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA.
Swarup BhuniaDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA. swarup@ece.ufl.edu.
Sandip RayDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA. sandip@ece.ufl.edu.
Bianca C BuriniFlorida Medical Entomology Laboratory, University of Florida-IFAS, Vero Beach, FL, 32962, USA. bianca.kojin@ufl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of mosquito-borne diseases is accelerating owing to several factors, including human-made ones. In response, scientists are developing various types of baits, including organic, chemical, and electronic, to lure mosquitoes and monitor, control, and kill them. These baits function by replicating stimuli that attract mosquitoes, including human breath, body heat, color, and mosquito wingbeat sounds. Wingbeat sound baits generated from the wings of female mosquitoes are particularly effective in attracting males. Carbon dioxide is a potent attractant and the closest human mimic among the available mimics. Human metabolism, pregnancy, skin temperature, microbiomes, and other factors all play significant roles in the attractiveness of humans to mosquitoes. Effective bait design requires a comprehensive understanding of mosquito behavior, including feeding, mating, and oviposition patterns. Lab, semifield, and field experimental studies allow researchers to isolate behavioral responses to specific stimuli before evaluating their effectiveness under more realistic ecological conditions. Optimizing the baiting system power maximizes efficiency and success in baiting mosquitoes. The future of mosquito bait lies in automating and digital twinning of baiting systems and in prioritizing human and environmental safety.

Indexed as

CulicidaeMosquito ControlAnimalsFemaleHumansMaleMosquito-Borne DiseasesMosquito VectorsPheromonesPheromonesChemical baitsElectronic baitsMosquito baitsOrganic baitsSmart technologyTrap

Identifiers

PMID42192462
PMCPMC13393902

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.