Predicting mosquito flight behavior using Bayesian dynamical systems learning.

Christopher Zuo, Chenyi Fei, Alexander E Cohen, Soohwan Kim, Ring T Cardé, Jörn Dunkel, David L Hu

Abstract read

In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Predicting mosquito flight behavior using Bayesian dynamical systems learning.Science advances · 2026
Article

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

7 authors.

Christopher ZuoWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0009-0008-3019-0868

Chenyi FeiDepartment of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-8287-4347

Alexander E CohenDepartment of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-5284-6775

Soohwan KimWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0009-0006-1083-238X

Ring T CardéDepartment of Entomology, University of California, Riverside, CA 92521, USA.ORCID 0000-0001-6659-302X

Jörn DunkelDepartment of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0001-8865-2369

David L HuWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-0017-7303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquito-borne diseases cause several hundred thousand deaths worldwide every year. Deciphering mosquito host-seeking behavior is essential to prevent disease transmission through mosquito capture and surveillance. Despite recent substantial progress, we still lack a comprehensive quantitative understanding of how visual and other sensory cues guide mosquitoes to their targets. Here, we combined three-dimensional infrared tracking of

Indexed as

AedesFlight, AnimalAnimalsBayes TheoremHumansModels, BiologicalMosquito-Borne DiseasesMosquito Vectors

Identifiers

PMID41849589

DOI10.1126/sciadv.adz7063

PMCPMC12998517

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.