Evidence map›Paper›PMID 31943353›Full record

ArticleIndoor air2020

Comparing regional stove-usage patterns and using those patterns to model indoor air quality impacts.

Ricardo Piedrahita, Michael Johnson, Kelsey R Bilsback, Christian L'Orange, John K Kodros, Sarah Rose Eilenberg, Agnes Naluwagga, Ming Shan, Sankar Sambandam, Maggie Clark and 4 more

Abstract read
In one paragraph

Article in Indoor air, 2020. 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

14 authors.

Ricardo PiedrahitaBerkeley Air Monitoring Group, Berkeley, CA.ORCID 0000-0002-6658-2627
Michael JohnsonBerkeley Air Monitoring Group, Berkeley, CA.
Kelsey R BilsbackDepartment of Mechanical Engineering, Colorado State University, Fort Collins, CO.ORCID 0000-0002-5996-1522
Christian L'OrangeDepartment of Mechanical Engineering, Colorado State University, Fort Collins, CO.
John K KodrosDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO.ORCID 0000-0003-1791-0118
Sarah Rose EilenbergDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA.
Agnes NaluwaggaCentre for Research in Energy and Energy Conservation (CREEC), Kampala, Uganda.
Ming ShanDepartment of Building Science, School of Architecture, Tsinghua University, Beijing, China.
Sankar SambandamDepartment of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Medical College and Research Institute, Chennai, India.
Maggie ClarkDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO.ORCID 0000-0002-8613-5736
Jeffrey R PierceDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO.ORCID 0000-0002-4241-838X
Kalpana BalakrishnanDepartment of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Medical College and Research Institute, Chennai, India.
Allen L RobinsonDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA.ORCID 0000-0002-1819-083X
John VolckensDepartment of Mechanical Engineering, Colorado State University, Fort Collins, CO.ORCID 0000-0002-7563-9525

Funding

Community-based Participatory Research: A Tool to Advance Cookstove InterventionsR00ES022269 · NIEHS · COLORADO STATE UNIVERSITY · PI CLARK, MAGGIE LYNN · 2014 to 2017
$1.0M
Community-based Participatory Research: A Tool to Advance Cookstove InterventionsK99ES022269 · NIEHS · COLORADO STATE UNIVERSITY · PI CLARK, MAGGIE LYNN · 2013 to 2014
$229k
NIEHS NIH HHS K99 ES022269NIEHS NIH HHS R00 ES022269
6 · The paper itself

Abstract

Monitoring improved cookstove adoption and usage in developing countries can help anticipate potential health and environmental benefits that may result from household energy interventions. This study explores stove-usage monitor (SUM)-derived usage data from field studies in China (52 stoves, 1422 monitoring days), Honduras (270 stoves, 630 monitoring days), India (19 stoves, 565 monitoring days), and Uganda (38 stoves, 1007 monitoring days). Traditional stove usage was found to be generally similar among four seemingly disparate countries in terms of cooking habits, with average usage of between 171 and 257 minutes per day for the most-used stoves. In Honduras, where survey-based usage data were also collected, there was only modest agreement between sensor data and self-reported user data. For Indian homes, we combined stove-usage data with a single-zone Monte Carlo box model to estimate kitchen-level PM

Indexed as

Air Pollution, IndoorCookingChinaFamily CharacteristicsHondurasHousehold ArticlesHousehold ProductsHumansIndiaParticulate MatterRural PopulationUgandaParticulate Matterair qualitycookstoveexposure modelingLMICSingle-zone box modelstove usage

Identifiers

PMID31943353
PMCPMC8886689

What OpenQuestion holds

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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.