Evidence map›Paper›PMID 33359440›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2021

Transmission dynamics of the COVID-19 epidemic in England.

Yang Liu, Julian W Tang, Tommy T Y Lam

Abstract read
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Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

3 authors.

Yang LiuMedical Research Council Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK. Electronic address: yang.liu@mrc-bsu.cam.ac.uk.
Julian W TangRespiratory Sciences, University of Leicester, Leicester, UK.
Tommy T Y LamState Key Laboratory of Emerging Infectious Diseases, School of Public Health, The University of Hong Kong, Hong Kong SAR, China. Electronic address: ttylam@hku.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ongoing coronavirus disease 2019 (COVID-19) pandemic has caused a tremendous health burden and impact on the world economy. The UK Government implemented the biggest lockdown of society during peacetime in British history at the end of March 2020, aiming to contain the rapid spread of the virus. The UK lockdown was maintained for 7 weeks, but the effectiveness of the control measures in suppressing disease transmission remains incompletely understood.

methodsA Bayesian SEIR (susceptible-exposed-infected-removed) epidemiological model was used to rebuild the local transmission dynamics of the spread of COVID-19 in nine regions of England.

resultsThe basic reproduction number (R

conclusionThis study enhances understanding of the current outbreak and the effectiveness of control measures in the UK.

Indexed as

ForecastingPandemicsBasic Reproduction NumberBayes TheoremCOVID-19EnglandFemaleHumansIncidenceMaleModels, TheoreticalSARS-CoV-2Basic reproduction numberCOVID-19Effective reproduction numberPandemicSusceptible–exposed–infected–removed (SEIR)

Identifiers

PMID33359440
PMCPMC7757353

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.