Evidence map›Paper›PMID 33747543›Full record

ArticleVirus evolution2021

Genomic epidemiology of a densely sampled COVID-19 outbreak in China.

Lily Geidelberg, Olivia Boyd, David Jorgensen, Igor Siveroni, Fabrícia F Nascimento, Robert Johnson, Manon Ragonnet-Cronin, Han Fu, Haowei Wang, Xiaoyue Xi and 12 more

Abstract read
In one paragraph

Article in Virus evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Estimates of early outbreak-specific SARS-CoV-2 epidemiological parameters from genomic data.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Statistical Challenges in Tracking the Evolution of SARS-CoV-2.Statistical science : a review journal of the Institute of Mathematical Statistics · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

22 authors.

Lily GeidelbergDepartment of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis, Imperial College London, Norfolk Place W2 1PG, UK.ORCID https://orcid.org/0000-0002-8057-1844
Olivia BoydDepartment of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis, Imperial College London, Norfolk Place W2 1PG, UK.
David JorgensenDepartment of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis, Imperial College London, Norfolk Place W2 1PG, UK.
Igor SiveroniDepartment of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis, Imperial College London, Norfolk Place W2 1PG, UK.ORCID https://orcid.org/0000-0003-2595-3062
Fabrícia F NascimentoDepartment of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis, Imperial College London, Norfolk Place W2 1PG, UK.
Robert JohnsonDepartment of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis, Imperial College London, Norfolk Place W2 1PG, UK.
Manon Ragonnet-CroninDepartment of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis, Imperial College London, Norfolk Place W2 1PG, UK.
Han FuDepartment of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis, Imperial College London, Norfolk Place W2 1PG, UK.
Haowei WangDepartment of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis, Imperial College London, Norfolk Place W2 1PG, UK.
Xiaoyue XiDepartment of Mathematics, Imperial College London, London SW7 2AZ, UK.
Wei ChenDepartment of Microbiology, Weifang Center for Disease Control and Prevention, Weifang 261061, China.
Dehui LiuDepartment of Microbiology, Weifang Center for Disease Control and Prevention, Weifang 261061, China.
Yingying ChenDepartment of Microbiology, Weifang Center for Disease Control and Prevention, Weifang 261061, China.
Mengmeng TianDepartment of Microbiology, Weifang Center for Disease Control and Prevention, Weifang 261061, China.
Wei TanDepartment of Respiratory Medicine, Weifang People's Hospital, Weifang 261061, China.
Junjie ZaiImmunology Innovation Team, School of Medicine, Ningbo University, Ningbo 315211, China.
Wanying SunShenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen 518083, China.
Jiandong LiShenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen 518083, China.
Junhua LiShenzhen Key Laboratory of Unknown Pathogen Identification, BGI-Shenzhen, Shenzhen 518083, China.
Erik M VolzDepartment of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis, Imperial College London, Norfolk Place W2 1PG, UK.ORCID https://orcid.org/0000-0001-6268-8937
Xingguang LiDepartment of Hospital Office, The First People's Hospital of Fangchenggang, Fangchenggang, 538021, China.
Qing NieDepartment of Microbiology, Weifang Center for Disease Control and Prevention, Weifang 261061, China.

Funding

Medical Research Council MC_PC_19012Medical Research Council MR/R015600/1Wellcome Trust
6 · The paper itself

Abstract

Analysis of genetic sequence data from the SARS-CoV-2 pandemic can provide insights into epidemic origins, worldwide dispersal, and epidemiological history. With few exceptions, genomic epidemiological analysis has focused on geographically distributed data sets with few isolates in any given location. Here, we report an analysis of 20 whole SARS- CoV-2 genomes from a single relatively small and geographically constrained outbreak in Weifang, People's Republic of China. Using Bayesian model-based phylodynamic methods, we estimate a mean basic reproduction number (

Indexed as

genetic epidemiologymodellingphylodynamicsphylogeneticsSARS-CoV-2structured coalescent

Identifiers

PMID33747543
PMCPMC7955981

What OpenQuestion 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 OpenQuestion graph.