Evidence map›Paper›PMID 33705771›Full record

ArticleEnvironmental research2021

Estimating climate change-related impacts on outdoor air pollution infiltration.

Donghai Liang, Wan-Chen Lee, Jiawen Liao, Joy Lawrence, Jack M Wolfson, Stefanie T Ebelt, Choong-Min Kang, Petros Koutrakis, Jeremy A Sarnat

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Using Low-Cost Sensors to Assess Fine Particulate Matter Infiltration (PMInternational journal of environmental research and public health · 2021
    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

9 authors at 3 institutions in 2 countries.

Donghai LiangGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA. Electronic address: donghai.liang@emory.edu.
Wan-Chen LeeInstitute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taiwan.
Jiawen LiaoGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA.
Joy LawrenceDepartment of Environmental Health, T.H. Chan School of Public Health, Harvard University, USA.
Jack M WolfsonDepartment of Environmental Health, T.H. Chan School of Public Health, Harvard University, USA.
Stefanie T EbeltGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA.
Choong-Min KangDepartment of Environmental Health, T.H. Chan School of Public Health, Harvard University, USA.
Petros KoutrakisDepartment of Environmental Health, T.H. Chan School of Public Health, Harvard University, USA.
Jeremy A SarnatGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA.
Emory University · USHarvard University · USNational Taiwan University · TW

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI William Michael Caudle · 2013 to 2026
$22.6M
NIEHS NIH HHS P30 ES019776
6 · The paper itself

Abstract

backgroundRising temperatures due to climate change are expected to impact human adaptive response, including changes to home cooling and ventilation patterns. These changes may affect air pollution exposures via alteration in residential air exchange rates, affecting indoor infiltration of outdoor particles. We conducted a field study examining associations between particle infiltration and temperature to inform future studies of air pollution health effects.

methodsWe measured indoor fine particulate matter (PM

resultsThe mean particle infiltration ratio in Atlanta was 0.70 ± 0.30, with a 0.21 lower ratio in summer compared to transition seasons (spring, fall). Particle infiltration ratios were 0.19 lower in houses using heating, ventilation, and air conditioning (HVAC) systems compared to those not using HVAC. We observed significant associations between particle infiltration ratios and both linear and quadratic models of ambient temperature for homes using natural ventilation and those using HVAC. Future temperature was projected to increase by 2.1 °C in Atlanta, which corresponds to an increase of 0.023 (3.9%) in particle infiltration ratios during cooler months and a decrease of 0.037 (6.2%) during warmer months. DISCUSSION: We estimated notable changes in particle infiltration ratio in Atlanta for different 20-year periods, with differential seasonal patterns. Moreover, when stratified by HVAC usage, increases in future ambient temperature due to climate change were projected to enhance seasonal differences in PM

Indexed as

Air PollutantsAir PollutionAir Pollution, IndoorClimate ChangeEnvironmental MonitoringHumansParticle SizeParticulate MatterSeasonsAir PollutantsParticulate MatterClimate changeIndoor-outdoor sulfur ratioParticle infiltrationTemperature

Identifiers

PMID33705771
PMCPMC8197171
OpenAlexW3134328151

What OpenQuestion holds

Textmetadata
LicenceTDM
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.