Evidence map›Paper›PMID 41821136›Full record

ReviewBMC global and public health2026

New frontiers for unmanned aerial vehicles in planetary health research.

Juliet T Bramante, Morgan S Tarpenning, Katherine E Woo, Andrew J Chamberlin, Kavita D Coombe, Joelle I Rosser

Abstract readReview
In one paragraph

Review in BMC global and public health, 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

6 authors.

Juliet T BramanteSchool of Medicine, University of Washington, Seattle, WA, USA.
Morgan S TarpenningStanford University, Stanford, CA, USA.
Katherine E WooStanford University, Stanford, CA, USA.
Andrew J ChamberlinDepartment of Earth System Sciences and Department of Oceans, Hopkins Marine Institute, Stanford University, Stanford, CA, USA.
Kavita D CoombeDivision of Infectious Diseases & Geographic Medicine, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
Joelle I RosserDivision of Infectious Diseases & Geographic Medicine, School of Medicine, Stanford University, Stanford, CA, 94305, USA. jrosser@stanford.edu.

Funding

Arbovirus Prediction and Mitigation in the Indo-PacificK23AI168581 · NIAID · STANFORD UNIVERSITY · PI Joelle Ivy Rosser · 2022 to 2026
$1.0M
NIAID NIH HHS K23 AI168581NIH HHS K32 AI168581
6 · The paper itself

Abstract

Unmanned aerial vehicles (UAVs) are a revolutionary new surveillance and transport technology with important implications for healthcare systems, particularly in the era of climate change. Rapid shifts in environmental systems are reshaping global climates. These changes have led to increasingly common extreme weather events that threaten population health. Mitigating the impacts of climate change on human health depends on our ability to predict, detect, and rapidly respond to changing ecosystem dynamics. The use of UAVs to tackle these new environmental health challenges is gaining momentum across multiple disciplines. This review identified four main areas where UAVs are being used or piloted to address climate change and health-related concerns: (1) Disease vector management, (2) environmental risk factors management, (3) environmental resource management, and (4) medical deliveries. Over the coming decades, UAVs are likely to play an increasing role in our efforts to keep pace with monitoring and mitigating the accelerating impacts of climate change on human health.

Indexed as

Climate changeDroneHealthcare systemsPlanetary healthRemote sensingUnmanned aerial vehicle

Identifiers

PMID41821136
PMCPMC12983850

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.