Evidence map›Paper›PMID 39975909›Full record

ArticleResearch square2025

Relating household entomological measures to individual malaria risk.

Max McClure, Emmanuel Arinaitwe, Moses R Kamya, Philip J Rosenthal, Joaniter Nankabirwa, Kilama Maxwell, Alex Musiime, Grant Dorsey, Bryan Greenhouse, Isabel Rodriguez-Barraquer

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In one paragraph

Article in Research square, 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

5 · Who and what money

Authors and funding

10 authors.

Max McClureUniversity of California, San Francisco.
Emmanuel ArinaitweInfectious Diseases Research Collaboration.
Moses R KamyaMakerere University College of Health Sciences.
Philip J RosenthalUniversity of California, San Francisco.
Joaniter NankabirwaMakerere University College of Health Sciences.
Kilama MaxwellInfectious Diseases Research Collaboration.
Alex MusiimeMinistry of Health.
Grant DorseyUniversity of California, San Francisco.
Bryan GreenhouseUniversity of California, San Francisco.
Isabel Rodriguez-BarraquerUniversity of California, San Francisco.

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

Background: The gold standard measure of malaria exposure is the entomological inoculation rate (EIR), or the number of infectious bites an individual receives over a given period. Nevertheless, it is unclear whether household EIR reflects heterogeneity in individual infection risk. Methods: To investigate this relationship, we used data collected from a cohort of 439 children aged 0.5-5 years in 239 households from 2011-2017 in three Ugandan districts: low-EIR Jinja, intermediate-EIR Kanungu and high-EIR Tororo. Participants underwent passive and quarterly active surveillance for clinical malaria, defined as fever with positive thick blood smear. Monthly vector densities and sporozoite rates in participating households were estimated using CDC light traps. We assessed the association between spatiotemporally smoothed household log Results: Comparison across sites suggested an increasing relationship between average EIR and malaria incidence. Within-site relationships, however, varied by site, with a positive association in Kanungu (incidence rate ratio [IRR] 1.09, 95% credible interval 1.04-1.14) but none in Jinja (1.02, 0.774-1.26) or Tororo (1.02, 0.986-1.06). Conclusions: These results show the relationship between measured EIR and malaria incidence may depend on local transmission dynamics and be strongest at intermediate EIR, while underscoring the challenges of using household-level measures of exposure.

Identifiers

PMID39975909
PMCPMC11838747

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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.