Evidence map›Paper›PMID 34688723›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2022

Long-term air pollution and COVID-19 mortality rates in California: Findings from the Spring/Summer and Winter surges of COVID-19.

Erika Garcia, Brittney Marian, Zhanghua Chen, Kenan Li, Fred Lurmann, Frank Gilliland, Sandrah P Eckel

Abstract read
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2022. 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. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. COVID-19: Regional Differences in Austria.International journal of environmental research and public health · 2022
    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

7 authors.

Erika GarciaDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA. Electronic address: garc991@usc.edu.
Brittney MarianDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Zhanghua ChenDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Kenan LiSpatial Sciences Institute, University of Southern California, Los Angeles, CA, USA.
Fred LurmannSonoma Technology, Inc, Petaluma, CA, USA.
Frank GillilandDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Sandrah P EckelDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
NIEHS NIH HHS P30 ES007048
6 · The paper itself

Abstract

A growing number of studies report associations between air pollution and COVID-19 mortality. Most were ecological studies at the county or regional level which disregard important local variability and relied on data from only the first few months of the pandemic. Using COVID-19 deaths identified from death certificates in California, we evaluated whether long-term ambient air pollution was related to weekly COVID-19 mortality at the census tract-level during the first ∼12 months of the pandemic. Weekly COVID-19 mortality for each census tract was calculated based on geocoded death certificate data. Annual average concentrations of ambient particulate matter <2.5 μm (PM

Indexed as

Air PollutantsAir PollutionCOVID-19CaliforniaEnvironmental ExposureHumansMortalityNitrogen DioxideParticulate MatterSARS-CoV-2Air PollutantsNitrogen DioxideParticulate MatterAir pollutionCOVID-19MortalityNitrogen dioxideOzoneParticulate matter

Identifiers

PMID34688723
PMCPMC8529382

What OpenQuestion holds

Textmetadata
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.