Evidence map›Paper›PMID 33608519›Full record

ArticleNature communications2021

Harnessing peak transmission around symptom onset for non-pharmaceutical intervention and containment of the COVID-19 pandemic.

Liang Tian, Xuefei Li, Fei Qi, Qian-Yuan Tang, Viola Tang, Jiang Liu, Zhiyuan Li, Xingye Cheng, Xuanxuan Li, Yingchen Shi and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Work ethics, stay-at-home measures and COVID-19 diffusion : How is the pandemic affected by the way people perceive work?The European journal of health economics : HEPAC : health economics in prevention and care · 2022
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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

12 authors.

Liang Tian *COVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.ORCID 0000-0002-6595-445X
Xuefei Li *COVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.ORCID 0000-0002-6085-0838
Fei QiCOVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.ORCID 0000-0003-0122-3858
Qian-Yuan TangCOVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.ORCID 0000-0002-2821-0494
Viola TangCOVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.ORCID 0000-0002-8942-0348
Jiang LiuCOVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.ORCID 0000-0001-7424-3169
Zhiyuan LiCOVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.ORCID 0000-0001-6662-2636
Xingye ChengCOVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.ORCID 0000-0002-9996-455X
Xuanxuan LiCOVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.
Yingchen ShiCOVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.ORCID 0000-0003-4682-3195
Haiguang LiuCOVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.ORCID 0000-0001-7324-6632
Lei-Han TangCOVID-19 Modelling Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China. lhtang@hkbu.edu.hk.ORCID 0000-0002-2925-4691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within a short period of time, COVID-19 grew into a world-wide pandemic. Transmission by pre-symptomatic and asymptomatic viral carriers rendered intervention and containment of the disease extremely challenging. Based on reported infection case studies, we construct an epidemiological model that focuses on transmission around the symptom onset. The model is calibrated against incubation period and pairwise transmission statistics during the initial outbreaks of the pandemic outside Wuhan with minimal non-pharmaceutical interventions. Mathematical treatment of the model yields explicit expressions for the size of latent and pre-symptomatic subpopulations during the exponential growth phase, with the local epidemic growth rate as input. We then explore reduction of the basic reproduction number R

Indexed as

Models, TheoreticalBasic Reproduction NumberCommunicable Disease ControlContact TracingCOVID-19HumansLikelihood FunctionsMasksPandemicsPhysical DistancingQuarantine

Identifiers

PMID33608519
PMCPMC7895830

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.