Evidence map›Paper›PMID 41379838›Full record

ArticlePLOS global public health2025

Disentangling the roles of different vector species during a malaria resurgence in Eastern Uganda.

Max McClure, Ambrose Oruni, Emmanuel Arinaitwe, Alex Musiime, Patrick Kyagamba, Geoffrey Otto, James Adiga, Jackson Asiimwe Rwatooro, Maxwell Kilama, Paul Krezanoski and 7 more

Abstract read
In one paragraph

Article in PLOS global public health, 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

17 authors.

Max McClureDepartment of Medicine, University of California San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0009-0004-9080-931X
Ambrose OruniDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0001-9074-1635
Emmanuel ArinaitweInfectious Diseases Research Collaboration, Kampala, Uganda.
Alex MusiimeNational Malaria Control Division, Ministry of Health, Kampala, Uganda.
Patrick KyagambaInfectious Diseases Research Collaboration, Kampala, Uganda.
Geoffrey OttoInfectious Diseases Research Collaboration, Kampala, Uganda.
James AdigaInfectious Diseases Research Collaboration, Kampala, Uganda.
Jackson Asiimwe RwatooroInfectious Diseases Research Collaboration, Kampala, Uganda.
Maxwell KilamaInfectious Diseases Research Collaboration, Kampala, Uganda.ORCID https://orcid.org/0009-0000-7035-2544
Paul KrezanoskiDepartment of Medicine, University of California San Francisco, San Francisco, California, United States of America.
Jessica BriggsDepartment of Medicine, University of California San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0002-8078-3898
Philip J RosenthalDepartment of Medicine, University of California San Francisco, San Francisco, California, United States of America.
Joaniter I NankabirwaInfectious Diseases Research Collaboration, Kampala, Uganda.
Moses R KamyaInfectious Diseases Research Collaboration, Kampala, Uganda.
Grant DorseyDepartment of Medicine, University of California San Francisco, San Francisco, California, United States of America.
Bryan GreenhouseDepartment of Medicine, University of California San Francisco, San Francisco, California, United States of America.
Isabel Rodriguez-BarraquerDepartment of Medicine, University of California San Francisco, San Francisco, California, United States of America.

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2010 to 2026
$29.3M
BIOLOGY OF INFECTIOUS DISEASES TRAINING PROGRAMT32AI007641 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY · 2000 to 2026
$6.9M
NIAID NIH HHS T32 AI007641NIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

In 2021-23, a resurgence of malaria occurred in the Tororo District of Uganda following a change in formulations used for indoor residual spraying of insecticide (IRS). Prior analyses showed that this increase was temporally associated with the replacement of Anopheles gambiae sensu lato by An. funestus as the dominant local vector. To investigate this association, we used data from a cohort of 422 children in 94 households from 2021-2023 in Tororo District and neighboring Busia District, where IRS was not implemented. Participants underwent passive and monthly active surveillance for infection with Plasmodium falciparum by quantitative PCR. Mosquitoes were collected in each sleeping room in cohort households every 2 weeks using CDC light traps. We assessed the association between spatiotemporally smoothed annualized household entomologic inoculation rates (aEIR) and individual P. falciparum infections using shared frailty models. Overall, each doubling of the aEIR was associated with a 29% increase in the hazard of P. falciparum (adjusted HR 1.29, 95% CI 1.25-1.33). Considering species-specific aEIRs, this effect was primarily driven by An. funestus: a doubling of An. funestus aEIR was associated with a 29% increase in hazard rate (1.29, 1.25-1.34), while the association was smaller for An. gambiae (1.04, 1.01-1.08). These relationships were stronger in Tororo than in Busia. These results support the inference that the replacement of An. gambiae with An. funestus was a driver of increased malaria incidence in Tororo District and demonstrates associations between household-level entomological data and risk of P. falciparum infection.

Identifiers

PMID41379838
PMCPMC12697997

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.