Evidence map›Paper›PMID 41856144›Full record

ReviewThe Lancet. Global health2026

Household energy use and health in low-income and middle-income countries.

Ajay Pillarisetti, Misbath Daouda, Carlos F Gould, Annelise Gill-Wiehl, Thomas Clasen, Daniel M Kammen, Adeladza Kofi Amegah, Kalpana Balakrishnan

Abstract readReview
In one paragraph

Review in The Lancet. Global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Ajay PillarisettiDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA. Electronic address: ajaypillarisetti@berkeley.edu.
Misbath DaoudaDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Carlos F GouldSchool of Public Health, University of California San Diego, La Jolla, CA, USA.
Annelise Gill-WiehlMailman School of Public Health, Columbia University, New York, NY, USA.
Thomas ClasenGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Daniel M KammenDepartment of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA; Ralph O'Connor Sustainable Energy Institute, Johns Hopkins University, Baltimore, MD, USA; Paul Nitze School of Advanced International Studies, Johns Hopkins University, Baltimore, MD, USA.
Adeladza Kofi AmegahDepartment of Biomedical Sciences, University of Cape Coast, Cape Coast, Ghana.
Kalpana BalakrishnanDepartment of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research, Chennai, India.

Funding

Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
NIEHS NIH HHS T32 ES007322
6 · The paper itself

Abstract

At the household level, energy powers human health and wellbeing, enabling essential services such as cooking, lighting, communications, heating, cooling, and ventilation. Despite the recognised need for reliable clean energy, access remains deeply unequal, with high-income households benefiting from modern energy sources while over 600 million people do not have access to electricity and 2-3 billion people rely on biomass fuels as an energy source to meet basic household needs. 2-3 million deaths annually are attributed to household air pollution (HAP) from the combustion of these fuels. HAP degrades ambient air quality and contributes to climate change. Studies of household energy and HAP largely focus on cooking-related emissions and might underestimate the true effect of energy use at home to meet a variety of needs, such as heating and lighting. This Series paper reviews the methods used to estimate the HAP disease burden, evaluates the current epidemiological evidence, and examines the health effects of interventions aimed at cleaner energy adoption. Despite differences in methodology, exposure assessment approaches, or the specific health outcomes considered, estimates of global deaths attributable to HAP exposure consistently remain in the millions each year. Thus, this Series paper also identifies areas for future research, emphasising the need for equitable access to clean energy, especially in low-income and middle-income countries.

Indexed as

Air Pollution, IndoorDeveloping CountriesEnergy-Generating ResourcesCookingFamily CharacteristicsHumans

Identifiers

PMID41856144
PMCPMC13166105

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.