Evidence map›Paper›PMID 35966412›Full record

ArticleEnvironmental advances2022

Independent associations of short- and long-term air pollution exposure with COVID-19 mortality among Californians.

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

Open access · goldAbstract read
In one paragraph

Article in Environmental advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 1 country.

Brittney MarianDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
Ying YanDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
Zhanghua ChenDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
Fred LurmannSonoma Technology, Inc, Petaluma, CA, United States of America.
Kenan LiSpatial Sciences Institute, University of Southern California, Los Angeles, CA, United States of America.
Frank GillilandDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
Sandrah P EckelDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
Erika GarciaDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
University of Southern California · USSonoma Technology (United States) · US

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

The growing literature demonstrating air pollution associations on COVID-19 mortality contains studies predominantly examining long-term exposure, with few on short-term exposure, and rarely both together to estimate independent associations. Because mechanisms by which air pollution may impact COVID-19 mortality risk function over timescales ranging from years to days, and given correlation among exposure time windows, consideration of both short- and long-term exposure is of importance. We assessed the independent associations between COVID-19 mortality rates with short- and long-term air pollution exposure by modeling both concurrently. Using California death certificate data COVID-19-related deaths were identified, and decedent residential information used to assess short- (4-week mean) and long-term (6-year mean) exposure to particulate matter <2.5µm (PM

Indexed as

Air pollutionCOVIDCOVID-19, coronavirus disease 2019MortalityNitrogen dioxideNO2, nitrogen dioxideOzoneParticulate matterPM10, particulate matter < 10 µmPM2.5, particulate matter < 2.5 µmSD, standard deviation

Identifiers

PMID35966412
PMCPMC9361629
OpenAlexW4290785734

What Socratic 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 Socratic graph.