Evidence map›Paper›PMID 42459482›Full record

ArticleFrontiers in public health2026

Proxy-based modeling of indoor air pollution exposure and nonlinear health patterns in biomass-dependent households using machine learning.

Adeyinka Odebode, Olusiji Lasekan, Ayorinde Ogundele, Héctor H Silva, Boluwatife Adigun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in 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

5 authors.

Adeyinka OdebodeBishop Barham University College, Uganda Christian University, Kabale, Uganda.
Olusiji LasekanUniversidad Católica de Temuco, Temuco, Chile.
Ayorinde OgundeleUniversidad de La Frontera, Temuco, Chile.
Héctor H SilvaUniversidad de La Frontera, Temuco, Chile.
Boluwatife AdigunART Clinic, Regional Referral Hospital, Kabale, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study seeks to address critical gaps in household air pollution (HAP) exposure assessment in low- and middle-income settings by applying a proxy-based exposure reconstruction framework supported by machine learning to develop an exploratory proxy-based exposure index and examine associations with nonlinear health patterns in Kabale, Uganda. A quantitative cross-sectional survey (

Indexed as

Air Pollution, IndoorBiomassEnvironmental ExposureMachine LearningBoosting Machine Learning AlgorithmsClustering AlgorithmsCookingCross-Sectional StudiesFamily CharacteristicsHumansPredictive Learning ModelsRandom ForestUgandabiomass fuelsexposure modelinghousehold air pollutionmachine learningnonlinear health effects

Identifiers

PMID42459482
PMCPMC13368743

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.