Evidence map›Paper›PMID 31630004›Full record

ArticleEnvironmental research2020

Contribution of low-cost sensor measurements to the prediction of PM

Jianzhao Bi, Jennifer Stowell, Edmund Y W Seto, Paul B English, Mohammad Z Al-Hamdan, Patrick L Kinney, Frank R Freedman, Yang Liu

Abstract read
In one paragraph

Article in Environmental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. PMScientific reports · 2026
    Article
  2. Article
  3. Leveraging low-cost sensors to predict nitrogen dioxide for epidemiologic exposure assessment.Journal of exposure science & environmental epidemiology · 2025
    Article
  4. Article
  5. Unmasking the sky: high-resolution PMJournal of exposure science & environmental epidemiology · 2024
    Article
  6. Article
  7. Evaluating low-cost monitoring designs for PMEnvironmental pollution (Barking, Essex : 1987) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Predicting ambient PMJournal of exposure science & environmental epidemiology · 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

8 authors.

Jianzhao BiDepartment of Environmental Health, Emory University, Rollins School of Public Health, Atlanta, GA, 30322, United States.
Jennifer StowellDepartment of Environmental Health, Emory University, Rollins School of Public Health, Atlanta, GA, 30322, United States.
Edmund Y W SetoDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA, 98195, United States.
Paul B EnglishCalifornia Department of Public Health, Richmond, CA, 94804, United States.
Mohammad Z Al-HamdanUniversities Space Research Association, NASA Marshall Space Flight Center, Huntsville, AL, 35808, United States.
Patrick L KinneyDepartment of Environmental Health, Boston University, School of Public Health, Boston, MA, 02118, United States.
Frank R FreedmanDepartment of Meteorology and Climate Science, San Jose State University, San Jose, CA, 95192, United States. Electronic address: frank.freedman@sjsu.edu.
Yang LiuDepartment of Environmental Health, Emory University, Rollins School of Public Health, Atlanta, GA, 30322, United States. Electronic address: yang.liu@emory.edu.

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI ALI SHOJAIE · 1995 to 2026
$42.5M
Use of Community-Based Mapping and Monitoring to Reduce Air Pollution ExposuresR01ES022722 · NIEHS · PUBLIC HEALTH INSTITUTE · PI ENGLISH, PAUL B · 2014 to 2017
$2.3M
Intramural NASA N-999999NIEHS NIH HHS P30 ES007033NIEHS NIH HHS R01 ES022722Shared Services Center NASA
6 · The paper itself

Abstract

Regulatory monitoring networks are often too sparse to support community-scale PM

Indexed as

Air PollutantsAir PollutionEnvironmental MonitoringCaliforniaModels, StatisticalParticulate MatterAir PollutantsParticulate MatterLow-cost sensorMeasurement uncertaintyRandom forestSatellite AOD

Identifiers

PMID31630004
PMCPMC6899193

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.