Evidence map›Paper›PMID 32526937›Full record

ArticleGenes2020

Analysis of the Hosts and Transmission Paths of SARS-CoV-2 in the COVID-19 Outbreak.

Rui Dong, Shaojun Pei, Changchuan Yin, Rong Lucy He, Stephen S-T Yau

Abstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. The Potential Intermediate Hosts for SARS-CoV-2.Frontiers in microbiology · 2020
    Review
  12. Review
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

5 authors.

Rui DongDepartment of Mathematical Sciences, Tsinghua University, Beijing 100084, China.
Shaojun PeiDepartment of Mathematical Sciences, Tsinghua University, Beijing 100084, China.
Changchuan YinDepartment of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, Chicago, IL 60607, USA.
Rong Lucy HeDepartment of Biological Sciences, Chicago State University, Chicago, IL 60628, USA.
Stephen S-T YauDepartment of Mathematical Sciences, Tsinghua University, Beijing 100084, China.

Funding

National Natural Science Foundation of China 91746119
6 · The paper itself

Abstract

The severe respiratory disease COVID-19 was initially reported in Wuhan, China, in December 2019, and spread into many provinces from Wuhan. The corresponding pathogen was soon identified as a novel coronavirus named SARS-CoV-2 (formerly, 2019-nCoV). As of 2 May, 2020, over 3 million COVID-19 cases had been confirmed, and 235,290 deaths had been reported globally, and the numbers are still increasing. It is important to understand the phylogenetic relationship between SARS-CoV-2 and known coronaviruses, and to identify its hosts for preventing the next round of emergency outbreak. In this study, we employ an effective alignment-free approach, the Natural Vector method, to analyze the phylogeny and classify the coronaviruses based on genomic and protein data. Our results show that SARS-CoV-2 is closely related to, but distinct from the SARS-CoV branch. By analyzing the genetic distances from the SARS-CoV-2 strain to the coronaviruses residing in animal hosts, we establish that the most possible transmission path originates from bats to pangolins to humans.

Indexed as

Models, BiologicalAnimalsBetacoronavirusChiropteraCoronavirusCoronavirus 3C ProteasesCoronavirus InfectionsCOVID-19Cysteine EndopeptidasesDisease OutbreaksDisease ReservoirsHumansMammalsPandemicsPhylogenyPneumonia, ViralCoronavirus 3C ProteasesCysteine EndopeptidasesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Viral Nonstructural ProteinsCOVID-19Natural Vector methodSARS-CoV-2transmission path

Identifiers

PMID32526937
PMCPMC7349679

What OpenQuestion holds

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LicenceCC BY
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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.