Evidence map›Paper›PMID 34620109›Full record

ArticleBMC infectious diseases2021

Real-time quantification of the transmission advantage associated with a single mutation in pathogen genomes: a case study on the D614G substitution of SARS-CoV-2.

Shi Zhao, Jingzhi Lou, Lirong Cao, Hong Zheng, Marc K C Chong, Zigui Chen, Renee W Y Chan, Benny C Y Zee, Paul K S Chan, Maggie H Wang

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 57% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 2 institutions in 2 countries.

Shi ZhaoJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Jingzhi LouJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Lirong CaoJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Hong ZhengJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Marc K C ChongJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Zigui ChenDepartment of Microbiology, Chinese University of Hong Kong, Hong Kong, China.
Renee W Y ChanDepartment of Paediatrics, Chinese University of Hong Kong, Hong Kong, China.
Benny C Y ZeeJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Paul K S ChanDepartment of Microbiology, Chinese University of Hong Kong, Hong Kong, China.
Maggie H WangJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China. maggiew@cuhk.edu.hk.
Chinese University of Hong Kong · CNCity University of Hong Kong, Shenzhen Research Institute · CN

Funding

Health and Medical Research Fund INF-CUHK-1
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic poses serious threats to global health, and the emerging mutation in SARS-CoV-2 genomes, e.g., the D614G substitution, is one of the major challenges of disease control. Characterizing the role of the mutation activities is of importance to understand how the evolution of pathogen shapes the epidemiological outcomes at population scale.

methodsWe developed a statistical framework to reconstruct variant-specific reproduction numbers and estimate transmission advantage associated with the mutation activities marked by single substitution empirically. Using likelihood-based approach, the model is exemplified with the COVID-19 surveillance data from January 1 to June 30, 2020 in California, USA. We explore the potential of this framework to generate early warning signals for detecting transmission advantage on a real-time basis.

resultsThe modelling framework in this study links together the mutation activity at molecular scale and COVID-19 transmissibility at population scale. We find a significant transmission advantage of COVID-19 associated with the D614G substitution, which increases the infectivity by 54% (95%CI: 36, 72). For the early alarming potentials, the analytical framework is demonstrated to detect this transmission advantage, before the mutation reaches dominance, on a real-time basis.

conclusionsWe reported an evidence of transmission advantage associated with D614G substitution, and highlighted the real-time estimating potentials of modelling framework.

Indexed as

COVID-19Genome, ViralSARS-CoV-2HumansLikelihood FunctionsMutationPandemicsCOVID-19MutationReal-time estimationStatistical modellingTransmission advantage

Identifiers

PMID34620109
PMCPMC8495436
OpenAlexW3204728539

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.