Evidence map›Paper›PMID 32020915›Full record

ReviewThe international journal of occupational and environmental medicine2020

The Novel Coronavirus: A Bird's Eye View.

Parham Habibzadeh, Emily K Stoneman

Abstract readReview
In one paragraph

Review in The international journal of occupational and environmental medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing 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

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

  1. Pooled it
  2. Trial
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  4. Article
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  8. Article
  9. Covid-19 and its relation to the human eye: transmission, infection, and ocular manifestations.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023
    Review
  10. Review
  11. Review
  12. Review
  13. Numerical study of a nonlinear COVID-19 pandemic model by finite difference and meshless methods.Partial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters · 2022
    Article
  14. An intelligent forecast for COVID-19 based on single and multiple features.International journal of intelligent systems · 2022
    Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Review
  20. Article

64 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Parham HabibzadehPersian BayanGene Research and Training Center, Shiraz University of Medical Sciences, Shiraz, Iran
Emily K StonemanDivision of Infectious Diseases and Department of Infection Prevention and Epidemiology, University of Michigan, Ann Arbor, USA. emilyks@umich.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus (2019-nCoV) outbreak, which initially began in China, has spread to many countries around the globe, with the number of confirmed cases increasing every day. With a death toll exceeding that of the SARS-CoV outbreak back in 2002 and 2003 in China, 2019-nCoV has led to a public health emergency of international concern, putting all health organizations on high alert. Herein, we present on an overview of the currently available information on the pathogenesis, epidemiology, clinical presentation, diagnosis, and treatment of this virus.

Indexed as

CoronavirusCoronavirus InfectionsPandemicsPneumonia, ViralAnimalsBetacoronavirusChinaCOVID-19Disease OutbreaksDisease ReservoirsHumansSARS-CoV-2Zoonoses2019-nCoVChinaCoronavirusCOVID-19Emerging virusesMiddle East respiratory syndrome coronavirusNovel coronavirusOutbreakSARS coronavirusSARS-CoV-2Wuhan

Identifiers

PMID32020915
PMCPMC7205509

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.