Evidence map›Paper›PMID 35691344›Full record

ArticleThe Science of the total environment2022

Sensitivity of modeled residential fine particulate matter exposure to select building and source characteristics: A case study using public data in Boston, MA.

Chad W Milando, Fei Carnes, Kimberly Vermeer, Jonathan I Levy, M Patricia Fabian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Chad W MilandoDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA 02118, USA. Electronic address: cmilando@bu.edu.
Fei CarnesDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA 02118, USA.
Kimberly VermeerUrban Habitat Initiatives Inc., 328A Tremont Street, Boston, MA 02116, USA.
Jonathan I LevyDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA 02118, USA.
M Patricia FabianDepartment of Environmental Health, Boston University School of Public Health, 715 Albany St, Boston, MA 02118, USA.

Funding

Asthma Simulation Tool for Housing, Medication and Social Adversity (ASTHMA)R01ES027816 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FABIAN, MARIA PATRICIA · 2017 to 2021
$2.4M
NIEHS NIH HHS R01 ES027816
6 · The paper itself

Abstract

Many techniques for estimating exposure to airborne contaminants do not account for building characteristics that can magnify contaminant contributions from indoor and outdoor sources. Building characteristics that influence exposure can be challenging to obtain at scale, but some may be incorporated into exposure assessments using public datasets. We present a methodology for using public datasets to generate housing models for a test cohort, and examined sensitivity of predicted fine particulate matter (PM

Indexed as

Air PollutantsAir Pollution, IndoorBostonChildEnvironmental ExposureEnvironmental MonitoringHousingHumansParticle SizeParticulate MatterAir PollutantsParticulate MatterCONTAMEnergy-PlusIndoor air qualityParticulate matter, building simulation modelingPublic datasets

Identifiers

PMID35691344
PMCPMC9272360

What Socratic 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 Socratic graph.