The effect of air pollution and household environmental indicators on anemia status among under-five children in low-middle income countries: exploring potential machine learning applications on demographic and health surveys.

Haile Mekonnen Fenta, A Kofi Amegah, Aino K Rantala, Inês Paciência, Jouni J K Jaakkola

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haile Mekonnen FentaCenter for Environmental and Respiratory Health Research (CERH), Research Unit of Population Health, University of Oulu, Oulu, Finland. haile.fenta@oulu.fi.

A Kofi AmegahPublic Health Research Group, Department of Biomedical Sciences, University of Cape Coast, Cape Coast, Ghana.

Aino K RantalaCenter for Environmental and Respiratory Health Research (CERH), Research Unit of Population Health, University of Oulu, Oulu, Finland.

Inês PaciênciaCenter for Environmental and Respiratory Health Research (CERH), Research Unit of Population Health, University of Oulu, Oulu, Finland.

Jouni J K JaakkolaCenter for Environmental and Respiratory Health Research (CERH), Research Unit of Population Health, University of Oulu, Oulu, Finland. jouni.jaakkola@oulu.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to air pollution has been associated with anemia in children, but little effort has been made in low- and middle-income countries (LMICs) in which the prevalence of anemia is persistently high. This study aimed to assess the effects of air pollution and household environmental indicators on anemia among children aged 6-59 months using machine learning algorithms. The Demographic and Health Survey (DHS) datasets from 45 LMICs were linked with the satellite-derived estimates of annual average particulate matter (PM

Indexed as

Air PollutionAnemiaEnvironmental ExposureMachine LearningAir PollutantsBoosting Machine Learning AlgorithmsChild, PreschoolClassification AlgorithmsDeveloping CountriesFamily CharacteristicsFemaleHealth SurveysHumansInfantMaleParticulate MatterAir PollutantsParticulate MatterAir pollutionAnemia predictionEnvironmental qualityLow-middle income countriesMachine learningModified poisson regression

Identifiers

PMID41554788

DOI10.1038/s41598-025-33837-3

PMCPMC12852912

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LicenceCC BY-NC-ND

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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.