Evidence map›Paper›PMID 40011484›Full record

ArticleScientific reports2025

Multinational modelling of PM

Harry Williams, Miranda Baame, Federico Lorenzetti, Judith Mangeni, Emily Nix, Emmanuel Betang, Ryan Chartier, Edna Sang, Daniel Wilson, Theresa Tawiah and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

17 authors.

Harry WilliamsDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK. harrytwilliams1999@gmail.com.
Miranda BaameDouala General Hospital, Douala, Cameroon.
Federico LorenzettiDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Judith MangeniSchool of Public Health, Moi University, Eldoret, Kenya.
Emily NixDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Emmanuel BetangDouala General Hospital, Douala, Cameroon.
Ryan ChartierRTI International, Research Triangle Park, Durham, NC, USA.
Edna SangSchool of Public Health, Moi University, Eldoret, Kenya.
Daniel WilsonGeocene Inc., Berkeley, CA, USA.
Theresa TawiahKintampo Health Research Centre, Kintampo, Ghana.
Reginald QuansahSchool of Public Health, University of Ghana, Accra, Ghana.
Elisa PuzzoloDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Diana MenyaSchool of Public Health, Moi University, Eldoret, Kenya.
Bertrand Hugo Mbatchou NgahaneDouala General Hospital, Douala, Cameroon.
Daniel PopeDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Kwaku Poku AsanteKintampo Health Research Centre, Kintampo, Ghana.
Matthew ShuplerDepartment of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In sub-Saharan Africa, approximately 85% of the population uses polluting cooking fuels (e.g. wood, charcoal). Incomplete combustion of these fuels generates household air pollution (HAP), containing fine particulate matter (PM

Indexed as

Air PollutantsAir Pollution, IndoorCarbon MonoxideEnvironmental ExposureParticulate MatterCameroonCookingEnvironmental MonitoringFamily CharacteristicsFemaleGhanaHumansKenyaAir PollutantsCarbon MonoxideParticulate MatterCOHousehold air pollutionPM2.5Predictive modellingSub-Saharan Africa

Identifiers

PMID40011484
PMCPMC11865494

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.