Evidence map›Paper›PMID 34288922›Full record

ArticlePloS one2021

Global distribution and coincidence of pollution, climate impacts, and health risk in the Anthropocene.

Richard Marcantonio, Debra Javeline, Sean Field, Agustin Fuentes

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Global air pollution exposure and poverty.Nature communications · 2023
    Article
  8. Review
  9. 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

4 authors.

Richard MarcantonioThe Joan B. Kroc Institute for International Peace Studies, University of Notre Dame, Notre Dame, Indiana, United States of America.ORCID 0000-0003-3470-341X
Debra JavelineDepartment of Political Science, University of Notre Dame, Notre Dame, Indiana, United States of America.
Sean FieldDepartment of Anthropology, University of Notre Dame, Notre Dame, Indiana, United States of America.
Agustin FuentesDepartment of Anthropology, Princeton University, Princeton, New Jersey, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous research demonstrates that low-income countries face higher risks than high-income countries from toxic pollution and climate change. However, the relationship between these two risks is little explored or tested, and efforts to address the risks are often independent and uncoordinated. We argue that the global risks from toxic pollution and climate change are highly correlated and should be jointly analyzed in order to inform and better target efforts to reduce or mitigate both risks. We provide such analysis for 176 countries and found a strong (rs = -0.798;95%CI -0.852, -0.727) and significant (p<0.0001) relationship between the distribution of climate risk and toxic pollution. We also found that inequities in pollution production, economic status, and institutional readiness are interconnected and exacerbate risk for countries already in the highest risk categories for both toxic and non-toxic (greenhouse gas) pollution. The findings have policy implications, including the use of the proposed Target assessment to decide where best to address toxic and non-toxic pollution simultaneously, based on the need to minimize human suffering and maximize return on effort.

Indexed as

Climate ChangeEnvironmental PollutionGlobal HealthEnvironmental HealthEnvironmental PollutantsGeography, MedicalHealth PolicyHuman ActivitiesHumansIncomeRiskEnvironmental Pollutants

Identifiers

PMID34288922
PMCPMC8294505

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.