Evidence map›Paper›PMID 40804728›Full record

ArticleMalaria journal2025

Relating household entomological measures to individual malaria risk.

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

Abstract read
In one paragraph

Article in Malaria journal, 2025. 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.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Max McClureDepartment of Medicine, San Francisco General Hospital, University of California, San Francisco, San Francisco, USA. max.mcclure@ucsf.edu.
Emmanuel ArinaitweInfectious Diseases Research Collaboration, Kampala, Uganda.
Moses R KamyaInfectious Diseases Research Collaboration, Kampala, Uganda.
Philip J RosenthalDepartment of Medicine, San Francisco General Hospital, University of California, San Francisco, San Francisco, USA.
Joaniter NankabirwaInfectious Diseases Research Collaboration, Kampala, Uganda.
Maxwell KilamaInfectious Diseases Research Collaboration, Kampala, Uganda.
Alex MusiimeNational Malaria Control Division, Ministry of Health, Kampala, Uganda.
Grant DorseyDepartment of Medicine, San Francisco General Hospital, University of California, San Francisco, San Francisco, USA.
Bryan GreenhouseDepartment of Medicine, San Francisco General Hospital, University of California, San Francisco, San Francisco, USA.
Isabel Rodriguez-BarraquerDepartment of Medicine, San Francisco General Hospital, University of California, San Francisco, San Francisco, USA.

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joaniter Immaculate Nankabirwa · 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
Mentoring translational scientists in international infectious disease researchK24AI144048 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bryan R Greenhouse · 2019 to 2026
$1.6M
NIAID NIH HHS K24 AI144048NIAID NIH HHS T32 AI007641NIAID NIH HHS U19 AI089674NIH HHS 2T32AI007641-21NIH HHS 2U19AI089674
6 · The paper itself

Abstract

backgroundThe 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 EIR measured in the households of individuals reflects heterogeneity in those individuals' infection risk.

methodsTo investigate this relationship, this study used data collected from a cohort of 439 children aged 0.5-5 years in 239 households from 2011-2016 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. The association between spatiotemporally smoothed household log

resultsComparison 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).

conclusionsThese results show the relationship between measured EIR and malaria incidence may depend on site-specific transmission dynamics and be strongest at intermediate EIR, while underscoring the challenges of using household-level measures of exposure.

Indexed as

AnophelesFamily CharacteristicsMalariaMosquito VectorsAnimalsChild, PreschoolCohort StudiesFemaleHumansIncidenceInfantMaleUganda

Identifiers

PMID40804728
PMCPMC12352003

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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.