Evidence map›Paper›PMID 39052789›Full record

ReviewScience (New York, N.Y.)2024

Policy-induced air pollution health disparities: Statistical and data science considerations.

Daniel Mork, Scott Delaney, Francesca Dominici

Abstract readReview
In one paragraph

Review in Science (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Low-Level PMInternational journal of environmental research and public health · 2025
    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.

Daniel MorkDepartment of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-7924-0706
Scott DelaneyDepartment of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-0813-018X
Francesca DominiciDepartment of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-9382-0141

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Containerizing tasks to ensure robust AI/ML data curation pipelines to estimate environmental disparities in the rural southR01MD016054 · NIMHD · YALE UNIVERSITY · PI Michelle L Bell, Nicole Deziel · 2022 to 2026
$4.3M
National Cohort Studies of Alzheimer's Disease, Related Dementias and Air PollutionR01AG066793 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ZANOBETTI, ANTONELLA · 2020 to 2025
$4.2M
(R01 Transfer) Characterizing the link between multiple environmental exposures and Parkinsons disease exacerbationR01ES034373 · NIEHS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Danielle Braun, Antonella Zanobetti · 2022 to 2026
$2.9M
Susceptibility and adverse health outcomes related to climate-sensitive events among older Medicare beneficiaries with Alzheimer and DementiaRF1AG080948 · NIA · YALE UNIVERSITY · PI BELL, MICHELLE L, BENMARHNIA, TARIK · 2023 to 2023
$2.6M
The confluence of extreme heat cold on the health and longevity of an Aging Population with Alzheimers and related DementiaRF1AG074372 · NIA · HARVARD MEDICAL SCHOOL · PI DOMINICI, FRANCESCA, ESTIRI, HOSSEIN · 2022 to 2023
$2.6M
Statistical methods to characterize causal mechanisms by which air pollution affects the recurrence of cardiovascular eventsR01ES034021 · NIEHS · UNIVERSITY OF ROCHESTER · PI Francesca Dominici, Ashkan Ertefaie · 2023 to 2026
$2.5M
Short and long-term consequences of wildfires for Alzheimer's disease and related dementias.RF1AG071024 · NIA · UNIVERSITY OF WASHINGTON · PI CASEY, JOAN A · 2021 to 2022
$2.4M
NIA NIH HHS R01 AG066793NIA NIH HHS RF1 AG071024NIA NIH HHS RF1 AG074372NIA NIH HHS RF1 AG080948NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES034021NIEHS NIH HHS R01 ES034373NIMHD NIH HHS R01 MD016054
6 · The paper itself

Abstract

Air pollution causes premature death and disease and disproportionately harms non-white and lower-income groups in the United States. Government policies are responsible for the racial disparity in air pollution exposure and related health outcomes. Investigating complex relationships between policies, air pollution, and health requires (i) harmonized data connecting policies, environmental exposures, socioeconomic characteristics, and health at the individual and area level; (ii) interpretable estimands accounting for the complex interplay between policies and disparities in exposures and health outcomes; and (iii) data science approaches that can elucidate direct and indirect policy effects on disparities to identify effective interventions. We review statistical considerations and new data science approaches needed to scrutinize the policy impacts on disparities in air pollution exposure and health outcomes.

Indexed as

Air PollutionHealth PolicyHealth Status DisparitiesData ScienceEnvironmental ExposureHumansUnited States

Identifiers

PMID39052789
PMCPMC12090226

What Socratic 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 Socratic graph.