Evidence map›Paper›PMID 35578125›Full record

ArticleEnvironmental monitoring and assessment2022

Analysis of gaseous polycyclic aromatic hydrocarbon emissions from cooking devices in selected rural and urban kitchens in Bomet and Narok counties of Kenya.

A O Adeola, S A Nsibande, A M Osano, J K Maghanga, Y Naudé, P B C Forbes

Open access · greenAbstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2022. 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
0.7field-weighted citation impact, top 39% of its field
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, 13 citations in OpenAlex.

  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

6 authors at 3 institutions in 3 countries.

A O AdeolaChemistry Department, University of Pretoria, Pretoria, South Africa.ORCID http://orcid.org/0000-0002-7011-2396
S A NsibandeChemistry Department, University of Pretoria, Pretoria, South Africa.ORCID http://orcid.org/0000-0001-7371-9356
A M OsanoDepartment of Mathematics and Physical Sciences, Maasai Mara University, Narok, Kenya.ORCID http://orcid.org/0000-0002-6715-3955
J K MaghangaSchool of Science and Informatics, Taita Taveta University, Voi, Kenya.ORCID http://orcid.org/0000-0003-1682-711X
Y NaudéChemistry Department, University of Pretoria, Pretoria, South Africa.ORCID http://orcid.org/0000-0003-3534-5298
P B C ForbesChemistry Department, University of Pretoria, Pretoria, South Africa. patricia.forbes@up.ac.za.ORCID http://orcid.org/0000-0003-3453-9162
University of Pretoria · ZAGandhara University · PKMaasai Mara University · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional combustion devices and fuels such as charcoal, wood and biomass, are widely utilised in rural and urban households in Africa. Incomplete combustion can generate air pollutants which are of human toxicological importance, including polycyclic aromatic hydrocarbons (PAHs). In this study, portable multi-channel polydimethylsiloxane rubber traps were used to sample gas phase emissions from cooking devices used in urban and rural households in Bomet and Narok counties of Kenya. A wide range of total PAH concentrations was found in samples collected (0.82 - 173.69 µg/m

Indexed as

Air PollutantsAir Pollution, IndoorPolycyclic Aromatic HydrocarbonsCharcoalCookingEnvironmental MonitoringGasesHumansKenyaParticulate MatterAir PollutantsCharcoalGasesParticulate MatterPolycyclic Aromatic HydrocarbonsCombustion deviceDomestic air qualityHousehold combustionPolycyclic aromatic hydrocarbon

Identifiers

PMID35578125
OpenAlexW4280495609

What OpenQuestion holds

Textmetadata
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.