Evidence map›Paper›PMID 23113175›Full record

ArticleIranian journal of public health2012

Air pollution, its mortality risk, and economic impacts in tehran, iran.

V Brajer, J Hall, M Rahmatian

Abstract read
In one paragraph

Article in Iranian journal of public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Estimation of economic costs of air pollution caused by motor vehicles in Iran (Isfahan).Environmental science and pollution research international · 2021
    Article
  4. Impact assessment of meteorological and environmental parameters on PMEnvironmental science and pollution research international · 2019
    Article
  5. Article
  6. Health Impact Assessment of Air Pollution in São Paulo, Brazil.International journal of environmental research and public health · 2016
    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.

V BrajerDept. of Economics, California State University, Fullerton, Fullerton, CA 92834, USA.
J Hall
M Rahmatian

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAir pollution in Tehran is widely recognized as a serious environmental challenge, posing significant threats to the health of the resident population. Improving air quality will be difficult for many reasons, including climate and topography, heavy dependence on motor vehicles for mobility, and limited resources to reduce polluting emissions. Consequently, it is useful to have information regarding the scale of the health threat and the economic value of reducing that threat.

methodsThis paper integrates information on air quality, population, economic valuation, and health science to assess the most serious impact of fine particle pollution on humans, which is increased mortality risk, and provides estimates of the costs of present pollution levels, both in terms of risk and in terms of economic value relative to attaining air quality standards.

resultsMid-range results indicate that mortality risk for the population aged 30 and over would be reduced from 8.2 per 1,000 residents annually to 7.4 per 1,000 and that the estimated annual economic benefits of this reduced risk would be $378.5 million, if health-based World Health Organization-recommended annual average PM(2.5) standards were met.

conclusionsThe potential public health benefits of reducing particulate air pollution are significant, and will increase with growing population.

Indexed as

Air pollutionIranMortality

Identifiers

PMID23113175
PMCPMC3468981

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.