Evidence map›Paper›PMID 34174258›Full record

ArticleEnvironmental research2021

PM

Ognjen Milicevic, Igor Salom, Andjela Rodic, Sofija Markovic, Marko Tumbas, Dusan Zigic, Magdalena Djordjevic, Marko Djordjevic

Abstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Systems Biology Approaches to Understanding COVID-19 Spread in the Population.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. COVID-19 mortality and exposure to airborne PMThe Science of the total environment · 2022
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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.

Ognjen MilicevicDepartment for Medical Statistics and Informatics, School of Medicine, University of Belgrade, Serbia.
Igor SalomInstitute of Physics Belgrade, National Institute of the Republic of Serbia, University of Belgrade, Serbia.
Andjela RodicQuantitative Biology Group, Institute of Physiology and Biochemistry, Faculty of Biology, University of Belgrade, Serbia.
Sofija MarkovicQuantitative Biology Group, Institute of Physiology and Biochemistry, Faculty of Biology, University of Belgrade, Serbia.
Marko TumbasQuantitative Biology Group, Institute of Physiology and Biochemistry, Faculty of Biology, University of Belgrade, Serbia.
Dusan ZigicInstitute of Physics Belgrade, National Institute of the Republic of Serbia, University of Belgrade, Serbia.
Magdalena DjordjevicInstitute of Physics Belgrade, National Institute of the Republic of Serbia, University of Belgrade, Serbia.
Marko DjordjevicQuantitative Biology Group, Institute of Physiology and Biochemistry, Faculty of Biology, University of Belgrade, Serbia. Electronic address: dmarko@bio.bg.ac.rs.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have proposed a relationship between COVID-19 transmissibility and ambient pollution levels. However, a major limitation in establishing such associations is to adequately account for complex disease dynamics, influenced by e.g. significant differences in control measures and testing policies. Another difficulty is appropriately controlling the effects of other potentially important factors, due to both their mutual correlations and a limited dataset. To overcome these difficulties, we will here use the basic reproduction number (R

Indexed as

Air PollutantsCOVID-19Basic Reproduction NumberHumansParticulate MatterSARS-CoV-2United StatesAir PollutantsParticulate MatterBasic reproduction numberCOVID-19 pollution dependenceMachine learningOutdoor air pollutantsPrincipal component analysis

Identifiers

PMID34174258
PMCPMC8223012

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.