Evidence map›Paper›PMID 33737616›Full record

ArticleScientific reports2021

A global association between Covid-19 cases and airborne particulate matter at regional level.

Angelo Solimini, F Filipponi, D Alunni Fegatelli, B Caputo, C M De Marco, A Spagnoli, A R Vestri

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Ecosystem degradation and the spread of Covid-19.Environmental monitoring and assessment · 2023
    Review
  5. Article
  6. Discussion about the Latest Findings on the Possible Relation between Air Particulate Matter and COVID-19.International journal of environmental research and public health · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Multi-step short-termEnvironmental monitoring and assessment · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Outdoor PMScientific reports · 2021
    Article
  18. Article
  19. 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.

Angelo SoliminiDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy. angelo.solimini@uniroma1.it.ORCID 0000-0002-5281-7624
F FilipponiInstitute for Environmental Protection and Research (ISPRA), Via Vitaliano Brancati 48, 00144, Rome, Italy.ORCID 0000-0002-1419-3734
D Alunni FegatelliDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy.
B CaputoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy.
C M De MarcoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy.
A SpagnoliDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy.
A R VestriDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidences of an association between air pollution and Covid-19 infections are mixed and inconclusive. We conducted an ecological analysis at regional scale of long-term exposure to air-borne particle matter and spread of Covid-19 cases during the first wave of epidemics. Global air pollution and climate data were calculated from satellite earth observation data assimilated into numerical models at 10 km resolution. Main outcome was defined as the cumulative number of cases of Covid-19 in the 14 days following the date when > 10 cumulative cases were reported. Negative binomial mixed effect models were applied to estimate the associations between the outcome and long-term exposure to air pollution at the regional level (PM

Indexed as

Air PollutionCOVID-19HumansIncidenceParticulate MatterParticulate Matter

Identifiers

PMID33737616
PMCPMC7973572

What OpenQuestion holds

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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.