Evidence map›Paper›PMID 26859287›Full record

ReviewCurrent opinion in pediatrics2016

Satellite remote sensing in epidemiological studies.

Meytar Sorek-Hamer, Allan C Just, Itai Kloog

Abstract readReview
In one paragraph

Review in Current opinion in pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Performance of fine particulate matter data on air quality in an epidemiological study in Salvador, Brazil.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. External Environmental Pollution as a Risk Factor for Asthma.Clinical reviews in allergy & immunology · 2022
    Review
  11. Review
  12. Review
  13. PMBMC public health · 2021
    Article
  14. Review
  15. Pandemic meets pollution: Poor air quality increases deaths by COVID-19.Journal of environmental economics and management · 2021
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Changes in U.S. air pollution during the COVID-19 pandemic.The Science of the total environment · 2020
    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

3 authors.

Meytar Sorek-HameraDepartment of Geography and Environmental Development, Ben-Gurion University, Beer Sheva bCivil and Environmental Engineering, Technion, Haifa, Israel cDepartment of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Allan C Just
Itai Kloog

Funding

The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2014 to 2026
$21.3M
Prenatal Exposure to Endocrine Disrupters, DNA Methylation, and Childhood ObesityR00ES023450 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JUST, ALLAN C. · 2016 to 2018
$747k
Prenatal Exposure to Endocrine Disrupters, DNA Methylation, and Childhood ObesityK99ES023450 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI JUST, ALLAN C. · 2014 to 2015
$163k
NIEHS NIH HHS K99 ES023450NIEHS NIH HHS P30 ES023515NIEHS NIH HHS P30ES023515NIEHS NIH HHS R00 ES023450NIEHS NIH HHS R00ES023450
6 · The paper itself

Abstract

purpose of reviewParticulate matter air pollution is a ubiquitous exposure linked with multiple adverse health outcomes for children and across the life course. The recent development of satellite-based remote-sensing models for air pollution enables the quantification of these risks and addresses many limitations of previous air pollution research strategies. We review the recent literature on the applications of satellite remote sensing in air quality research, with a focus on their use in epidemiological studies. RECENT

findingsAerosol optical depth (AOD) is a focus of this review and a significant number of studies show that ground-level particulate matter can be estimated from columnar AOD. Satellite measurements have been found to be an important source of data for particulate matter model-based exposure estimates, and recently have been used in health studies to increase the spatial breadth and temporal resolution of these estimates. SUMMARY: It is suggested that satellite-based models improve our understanding of the spatial characteristics of air quality. Although the adoption of satellite-based measures of air quality in health studies is in its infancy, it is rapidly growing. Nevertheless, further investigation is still needed in order to have a better understanding of the AOD contribution to these prediction models in order to use them with higher accuracy in epidemiological studies.

Indexed as

SpacecraftAir PollutantsAir PollutionChildEnvironmental MonitoringEpidemiologic StudiesHumansParticulate MatterRemote Sensing TechnologyAir PollutantsParticulate Matter

Identifiers

PMID26859287
PMCPMC4844834

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.