Evidence map›Paper›PMID 33750399›Full record

ArticleTheoretical biology & medical modelling2021

Modelling the association between COVID-19 transmissibility and D614G substitution in SARS-CoV-2 spike protein: using the surveillance data in California as an example.

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

Open access · hybridAbstract read
In one paragraph

Article in Theoretical biology & medical modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Shi Zhao *JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Jingzhi Lou *JC 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.
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 · CNUniversity of Hong Kong · HKCity University of Hong Kong, Shenzhen Research Institute · CN

Funding

Health and Medical Research Fund INF-CUHK-1National Natural Science Foundation of China 31871340
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic poses a serious threat to global health, and pathogenic mutations are a major challenge to disease control. We developed a statistical framework to explore the association between molecular-level mutation activity of SARS-CoV-2 and population-level disease transmissibility of COVID-19.

methodsWe estimated the instantaneous transmissibility of COVID-19 by using the time-varying reproduction number (R

resultsWe found a significant positive association between population-level COVID-19 transmissibility and the D614G substitution on the SARS-CoV-2 spike protein. We estimate that a per 0.01 increase in the prevalence of glycine (G) on codon 614 is positively associated with a 0.49% (95% CI: 0.39 to 0.59) increase in R

conclusionsOur findings show a link between the molecular-level mutation activity of SARS-CoV-2 and population-level transmission of COVID-19 to provide further evidence for a positive association between the D614G substitution and R

Indexed as

Amino Acid SubstitutionCaliforniaCOVID-19HumansLikelihood FunctionsPandemicsSpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19MutationSpike proteinStatistical modelingTransmission

Identifiers

PMID33750399
PMCPMC7941367
OpenAlexW3138819188

What OpenQuestion holds

Textmetadata
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.