Evidence map›Paper›PMID 33596061›Full record

ArticleEnvironmental science & technology2021

A Spatiotemporal Prediction Model for Black Carbon in the Denver Metropolitan Area, 2009-2020.

Sheena E Martenies, Joshua P Keller, Sherry WeMott, Grace Kuiper, Zev Ross, William B Allshouse, John L Adgate, Anne P Starling, Dana Dabelea, Sheryl Magzamen

Abstract read
In one paragraph

Article in Environmental science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Prenatal black carbon exposure and DNA methylation in umbilical cord blood.International journal of hygiene and environmental health · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

10 authors.

Sheena E MarteniesDepartment of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801-3028, United States.ORCID 0000-0001-9206-5132
Joshua P KellerDepartment of Statistics, Colorado State University, Fort Collins, Colorado 80523-1019, United States.
Sherry WeMottDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523-1019, United States.
Grace KuiperDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523-1019, United States.
Zev RossZevRoss Spatial Analysis, Ithaca, New York 14850, United States.ORCID 0000-0002-3857-9615
William B AllshouseDepartment of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States.ORCID 0000-0002-8763-9194
John L AdgateDepartment of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States.
Anne P StarlingDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States.
Dana DabeleaDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States.
Sheryl MagzamenDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523-1019, United States.ORCID 0000-0002-2874-3530

Funding

The Early Life Exposome and Childhood Health - The Colorado Healthy Start 3 Cohort StudyUH3OD023248 · OD · UNIVERSITY OF COLORADO DENVER · PI Traci Allison Bekelman, Dana Dabelea · 2018 to 2026
$14.8M
NIH HHS UH3 OD023248
6 · The paper itself

Abstract

Studies on health effects of air pollution from local sources require exposure assessments that capture spatial and temporal trends. To facilitate intraurban studies in Denver, Colorado, we developed a spatiotemporal prediction model for black carbon (BC). To inform our model, we collected more than 700 weekly BC samples using personal air samplers from 2018 to 2020. The model incorporated spatial and spatiotemporal predictors and smoothed time trends to generate point-level weekly predictions of BC concentrations for the years 2009-2020. Our results indicate that our model reliably predicted weekly BC concentrations across the region during the year in which we collected data. We achieved a 10-fold cross-validation

Indexed as

Air PollutantsAir PollutionCarbonColoradoEnvironmental MonitoringParticulate MatterAir PollutantsCarbonParticulate Matter

Identifiers

PMID33596061
PMCPMC8313050

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.