Evidence map›Paper›PMID 24806193›Full record

ArticleInternational journal of environmental research and public health2014

A GIS based approach for assessing the association between air pollution and asthma in New York State, USA.

Amit K Gorai, Francis Tuluri, Paul B Tchounwou

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Geo-Enabling Public Health: A Systematic Review of GIS Applications.Advances in experimental medicine and biology · 2026
    Pooled it
  2. Article
  3. Article
  4. PMInternational journal of environmental research and public health · 2022
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Living Well with Pollution? The Impact of the Concentration of PMInternational journal of environmental research and public health · 2019
    Article
  11. Article
  12. Spatial-Temporal Evolution of PMInternational journal of environmental research and public health · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Effects of air pollution on human health and practical measures for prevention in Iran.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2016
    Review
  18. Article
  19. Article
  20. 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.

Amit K GoraiEnvironmental Science & Engineering Group, Birla Institute of Technology, Mesra, Ranchi 835215, Jharkhand, India. amit_gorai@yahoo.co.uk.
Francis TuluriDepartment of Technology, Jackson State University, Jackson, MS 39217, USA. francis.tuluri@jsums.edu.
Paul B TchounwouDepartment of Biology, Jackson State University, Jackson, MS 39217, USA. paul.b.tchounwou@jsums.edu.

Funding

RCMI-Center for Environmental HealthG12MD007581 · NIMHD · JACKSON STATE UNIVERSITY · PI TCHOUNWOU, PAUL B. · 2012 to 2017
$11.2M
NIMHD NIH HHS G12 MD007581NIMHD NIH HHS G12MD007581
6 · The paper itself

Abstract

Studies on asthma have shown that air pollution can lead to increased asthma prevalence. The aim of this study is to examine the association between air pollution (fine particulate matter (PM2.5), sulfur dioxide (SO2) and ozone (O3)) and human health (asthma emergency department visit rate (AEVR) and asthma discharge rate (ADR)) among residents of New York, USA during the period 2005 to 2007. Annual rates of asthma were calculated from population estimates for 2005, 2006, and 2007 and number of asthma hospital discharge and emergency department visits. Population data for New York were taken from US Bureau of Census, and asthma data were obtained from New York State Department of Health, National Asthma Survey surveillance report. Data on the concentrations of PM2.5, SO2 and ground level ozone were obtained from various air quality monitoring stations distributed in different counties. Annual means of these concentrations were compared to annual variations in asthma prevalence by using Pearson correlation coefficient. We found different associations between the annual mean concentration of PM2.5, SO2 and surface ozone and the annual rates of asthma discharge and asthma emergency visit from 2005 to 2007. A positive correlation coefficient was observed between the annual mean concentration of PM2.5, and SO2 and the annual rates of asthma discharge and asthma emergency department visit from 2005 to 2007. However, the correlation coefficient between annual mean concentrations of ground ozone and the annual rates of asthma discharge and asthma emergency visit was found to be negative from 2005 to 2007. Our study suggests that the association between elevated concentrations of PM2.5 and SO2 and asthma prevalence among residents of New York State in USA is consistent enough to assume concretely a plausible and significant association.

Indexed as

Geographic Information SystemsAir PollutantsAsthmaHospitalizationHumansNew YorkOzoneParticulate MatterSulfur DioxideAir PollutantsOzoneParticulate MatterSulfur Dioxide

Identifiers

PMID24806193
PMCPMC4053878

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.