Evidence map›Paper›PMID 35255208›Full record

ArticleEnvironmental science & technology2022

New Insights for Tracking Global and Local Trends in Exposure to Air Pollutants.

Martin J Wolf, Daniel C Esty, Honghyok Kim, Michelle L Bell, Sam Brigham, Quinn Nortonsmith, Slaveya Zaharieva, Zachary A Wendling, Alex de Sherbinin, John W Emerson

Abstract read
In one paragraph

Article in Environmental science & technology, 2022. 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
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  4. Review
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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.

Martin J WolfYale Center for Environmental Law & Policy, New Haven, Connecticut 06511, United States.ORCID 0000-0002-8553-8808
Daniel C EstyYale Center for Environmental Law & Policy, New Haven, Connecticut 06511, United States.
Honghyok KimSchool of the Environment, Yale University, New Haven, Connecticut 06511, United States.
Michelle L BellSchool of the Environment, Yale University, New Haven, Connecticut 06511, United States.
Sam BrighamDepartment of Economics, Yale University, New Haven, Connecticut 06511, United States.
Quinn NortonsmithDepartment of Economics, Yale University, New Haven, Connecticut 06511, United States.
Slaveya ZaharievaDepartment of Economics, Yale University, New Haven, Connecticut 06511, United States.
Zachary A WendlingYale Center for Environmental Law & Policy, New Haven, Connecticut 06511, United States.
Alex de SherbininCenter for International Earth Science Information Network, The Earth Institute, Columbia University, New York, New York 10025, United States.
John W EmersonDepartment of Statistics and Data Science, Yale University, New Haven, Connecticut 06511, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over six million people die prematurely each year from exposure to air pollution. Current air quality metrics insufficiently monitor exposure to air pollutants. This gap hinders the ability of decisionmakers to address the public health impacts of air pollution. To spur new emissions control policies and ensure implemented solutions realize meaningful gains in environmental health, we develop a framework of public-health-focused air quality indicators that quantifies over 200 countries' trends in exposure to particulate matter, ozone, nitrogen oxides, sulfur dioxide, carbon monoxide, and volatile organic compounds. We couple population density to ground-level pollutant concentrations to derive population-weighted exposure metrics that quantify the pollutant levels experienced by the average resident in each country. Our analyses demonstrate that most residents in 171 countries experience pollutant levels exceeding international health guidelines. In addition, we find a negative correlation between temporal trends in ozone and nitrogen oxide concentrations, which─when qualitatively interpreted with a simple atmospheric chemistry box model─can help describe the apparent tradeoff between the mitigation of these two pollutants on local scales. These novel indicators and their applications enable regulators to identify their most critical pollutant exposure trends and allow countries to track the performance of their emission control policies over time.

Indexed as

Air PollutantsAir PollutionOzoneEnvironmental MonitoringHumansParticulate MatterSulfur DioxideAir PollutantsOzoneParticulate MatterSulfur Dioxideair pollutionair qualityenvironmental indicatorenvironmental policy

Identifiers

PMID35255208
PMCPMC8988294

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.