Evidence map›Paper›PMID 40894953›Full record

ArticleOne health (Amsterdam, Netherlands)2025

Real-time malaria detection in the Amazon rainforest via drone-collected eDNA and portable qPCR.

Yin Cheong Aden Ip, Luca Montemartini, Jia Jin Marc Chang, Andrea Desiderato, Nicolás D Franco-Sierra, Christian Geckeler, Mailyn Adriana Gonzalez Herrera, Michele Gregorini, Meret Jucker, Steffen Kirchgeorg and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. 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

21 authors.

Yin Cheong Aden IpSchool of Marine and Environmental Affairs, University of Washington, Seattle, USA.
Luca MontemartiniDiaxxo AG, Zürich, Switzerland.
Jia Jin Marc ChangLee Kong Chian Natural History Museum, National University of Singapore, Singapore.
Andrea DesideratoDepartment of Invertebrate Zoology and Hydrobiology, Faculty of Biology and Environmental Protection, University of Lodz, Łódź, Poland.
Nicolás D Franco-SierraCorporación de Investigación e Innovación (VEDAS CII), VEDAS, Medellín, Antioquia, Colombia.
Christian GeckelerDepartment of Environmental Systems Science, Environmental Robotics Laboratory, ETH Zürich, Zürich, Switzerland.
Mailyn Adriana Gonzalez HerreraAlexander von Humboldt Biological Resources Research Institute, Bogotá 111311, Colombia.
Michele GregoriniDiaxxo AG, Zürich, Switzerland.
Meret JuckerSwiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland.
Steffen KirchgeorgDepartment of Environmental Systems Science, Environmental Robotics Laboratory, ETH Zürich, Zürich, Switzerland.
Martina LüthiSwiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland.
Elvira MächlerSimplexDNA AG, Winterthur 8404, Switzerland.
Frederik Bendix ThostrupInstitute for Mechanics and Production, Aarhus University, Aarhus, Denmark.
Guglielmo MurariDiaxxo AG, Zürich, Switzerland.
Marina MuraIndigenous Council of Inhaâ-bé, Amazon Region, Switzerland.
Paola Pulido-SantacruzEscuela de Ciencias e Ingeniería, Universidad del Rosario, Bogotá 111221, Colombia.
Florencia SangermanoGraduate School of Geography, Clark University, Worcester, MA 01566, USA.
Tobias SchindlerDiaxxo AG, Zürich, Switzerland.
Claus MelvadInstitute for Mechanics and Production, Aarhus University, Aarhus, Denmark.
Stefano MintchevDepartment of Environmental Systems Science, Environmental Robotics Laboratory, ETH Zürich, Zürich, Switzerland.
Kristy DeinerSimplexDNA AG, Winterthur 8404, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonotic malaria risk at human-wildlife-environment interfaces requires surveillance that integrates signals from reservoirs, vectors and the environment. We coupled a drone-based environmental DNA (eDNA) canopy swabbing approach with portable quantitative PCR (qPCR) to detect

Indexed as

Amazon rainforestEnvironmental DNAIndigenous communitiesMobile laboratoryOne HealthParasitesPlasmodiumSpilloverSurface swabbingZoonosis

Identifiers

PMID40894953
PMCPMC12398916

What OpenQuestion holds

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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.