ArticlemedRxiv : the preprint server for health sciences2020
Exposure to air pollution and COVID-19 mortality in the United States: A nationwide cross-sectional study.
Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed.
- Spatial, temporal, and demographic nonstationary dynamics of COVID-19 exposure among older adults in the U.S.PloS one · 2024Article
- Age-based spatial disparities of COVID-19 incidence rates in the United States counties.PloS one · 2023Article
- Article
- Air of Uncertainty: Can We Study Pollution and COVID-19 in the Midst of a Pandemic?Environmental health perspectives · 2020Article
- Impact of Social Determinants of Health on the Emerging COVID-19 Pandemic in the United States.Frontiers in public health · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesUnited States government scientists estimate that COVID-19 may kill tens of thousands of Americans. Many of the pre-existing conditions that increase the risk of death in those with COVID-19 are the same diseases that are affected by long-term exposure to air pollution. We investigated whether long-term average exposure to fine particulate matter (PM
designA nationwide, cross-sectional study using county-level data. DATA SOURCES: COVID-19 death counts were collected for more than 3,000 counties in the United States (representing 98% of the population) up to April 22, 2020 from Johns Hopkins University, Center for Systems Science and Engineering Coronavirus Resource Center.
main outcome measuresWe fit negative binomial mixed models using county-level COVID-19 deaths as the outcome and county-level long-term average of PM
resultsWe found that an increase of only 1 μg/m
conclusionsA small increase in long-term exposure to PM
Identifiers
What OpenQuestion holds
Registered trials
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.