Evidence map›Paper›PMID 36542771›Full record

ReviewAnnual review of public health2023

A Literature Review of the Effects of Air Pollution on COVID-19 Health Outcomes Worldwide: Statistical Challenges and Data Visualization.

A Bhaskar, J Chandra, H Hashemi, K Butler, L Bennett, Jacqueline Cellini, Danielle Braun, Francesca Dominici

Abstract readReview
In one paragraph

Review in Annual review of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

A BhaskarDepartment of Government, Harvard University, Cambridge, Massachusetts, USA.
J ChandraHarvard Medical School, Harvard University, Boston, Massachusetts, USA.
H HashemiEnvironmental Systems Research Institute, Redlands, California, USA.
K ButlerEnvironmental Systems Research Institute, Redlands, California, USA.
L BennettEnvironmental Systems Research Institute, Redlands, California, USA.
Jacqueline CelliniCountway Library of Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts, USA.
Danielle BraunDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA; email: fdominic@hsph.harvard.edu.
Francesca DominiciDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA; email: fdominic@hsph.harvard.edu.

Funding

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
Project 3: Cumulative Risk and Geospatial Health Disparities Related to Chemical and Non-Chemical Stressor ExposuresP50MD010428 · NIMHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI LADEN, FRANCINE, LEVY, JONATHAN I · 2015 to 2020
$4.0M
Environmental Health Disparities in an Older PopulationR01MD012769 · NIMHD · YALE UNIVERSITY · PI BELL, MICHELLE L · 2017 to 2021
$3.9M
Relationship Between Multiple Environmental Exposures and CVD Incidence and Survival: Vulnerability and SusceptibilityR01ES028033 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI DOMINICI, FRANCESCA, LADEN, FRANCINE · 2018 to 2022
$3.5M
Integrating Air Pollution Prediction Models: Uncertainty Quantification and Propagation in Health StudiesR01ES030616 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DOMINICI, FRANCESCA, KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2020 to 2024
$3.1M
Cardiovascular Health and Air Pollution: A National StudyR01ES024332 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI ZANOBETTI, ANTONELLA · 2015 to 2018
$2.5M
Causal Inference with Interference for Evaluating Air Quality PoliciesR01ES026217 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZIGLER, CORWIN MATTHEW · 2016 to 2021
$2.2M
NIA NIH HHS R01 AG066793NIEHS NIH HHS R01 ES024332NIEHS NIH HHS R01 ES026217NIEHS NIH HHS R01 ES028033NIEHS NIH HHS R01 ES030616NIMHD NIH HHS P50 MD010428NIMHD NIH HHS R01 MD012769
6 · The paper itself

Abstract

Several peer-reviewed papers and reviews have examined the relationship between exposure to air pollution and COVID-19 spread and severity. However, many of the existing reviews on this topic do not extensively present the statistical challenges associated with this field, do not provide comprehensive guidelines for future researchers, and review only the results of a relatively small number of papers. We reviewed 139 papers, 127 of which reported a statistically significant positive association between air pollution and adverse COVID-19 health outcomes. Here, we summarize the evidence, describe the statistical challenges, and make recommendations for future research. To summarize the 139 papers with data from geographical locations around the world, we also present anopen-source data visualization tool that summarizes these studies and allows the research community to contribute evidence as new research papers are published.

Indexed as

Air PollutionCOVID-19Data VisualizationEnvironmental ExposureHumansOutcome Assessment, Health CareParticulate MatterParticulate Matterair pollutionCOVID-19data scienceevidence synthesisvisualization

Identifiers

PMID36542771
PMCPMC11567163

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.