Evidence map›Paper›PMID 33585383›Full record

ArticleFrontiers in public health

COVID-19 Higher Mortality in Chinese Regions With Chronic Exposure to Lower Air Quality.

Riccardo Pansini, Davide Fornacca

Abstract read
In one paragraph

Article in Frontiers in public health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Relationship between COVID-19 Cases and Environmental Contaminants in Quito, Ecuador.International journal of environmental research and public health · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Ecological studies of COVID-19 and air pollution: How useful are they?Environmental epidemiology (Philadelphia, Pa.) · 2022
    Article
  14. Variation and dispersal of PMGeoscience frontiers · 2022
    Article
  15. Article
  16. Article
  17. Modeling the contribution of Nitrogen Dioxide, Vertical pressure velocity and PM2.5 to COVID-19 fatalities.Stochastic environmental research and risk assessment : research journal · 2022
    Article
  18. Environmental stocks, CEO health risk and COVID-19.Research in international business and finance · 2022
    Article
  19. Article
  20. 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

2 authors.

Riccardo PansiniInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, China.
Davide FornaccaInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the geographical character of the COVID-19 infection in China and correlated it with satellite- and ground-based measurements of air quality. Controlling for population density, we found more viral infections in those prefectures (U.S. county equivalent) afflicted by high Carbon Monoxide, Formaldehyde, PM 2.5, and Nitrogen Dioxide values. Higher mortality was also correlated with relatively poor air quality. When summarizing the results at a greater administrative level, we found that the 10 provinces (U.S. state equivalent) with the highest rate of mortality by COVID-19, were often the most polluted but not the most densely populated. Air pollution appears to be a risk factor for the incidence of this disease, despite the conventionally apprehended influence of human mobility on disease dynamics from the site of first appearance, Wuhan. The raw correlations reported here should be interpreted in a broader context, accounting for the growing evidence reported by several other studies. These findings warn communities and policymakers on the implications of long-term air pollution exposure as an ecological, multi-scale public health issue.

Indexed as

Air PollutantsAir PollutionChinaCOVID-19Datasets as TopicHumansAir Pollutantsair pollutionclimate changerisk factorsSARS-CoV-2virulence

Identifiers

PMID33585383
PMCPMC7874038

What OpenQuestion holds

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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.