Evidence map›Paper›PMID 36263615›Full record

ArticleEpidemiology and infection2022

Transmission roles of symptomatic and asymptomatic COVID-19 cases: a modelling study.

Jianbin Tan, Yang Ge, Leonardo Martinez, Jimin Sun, Changwei Li, Adrianna Westbrook, Enfu Chen, Jinren Pan, Yang Li, Wei Cheng and 4 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
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  10. SARS-CoV-2 Variants May Affect Saliva RT-PCR Assay Sensitivity.The journal of applied laboratory medicine · 2024
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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

14 authors.

Jianbin TanSchool of Mathematics, Sun Yat-Sen University, Guangzhou, China.
Yang GeSchool of Health Professions, University of Southern Mississippi, Hattiesburg, Mississippi, USA.ORCID 0000-0001-5100-0703
Leonardo MartinezDepartment of Epidemiology, Boston University, Boston, USA.
Jimin SunZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0001-7354-3450
Changwei LiDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Adrianna WestbrookDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia, USA.
Enfu ChenZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Jinren PanZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Yang LiSchool of Statistics, Renmin University of China, Beijing, China.
Wei ChengZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Feng LingZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Zhiping ChenZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Ye ShenDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia, USA.
Hui HuangSchool of Mathematics, Sun Yat-Sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) asymptomatic cases are hard to identify, impeding transmissibility estimation. The value of COVID-19 transmissibility is worth further elucidation for key assumptions in further modelling studies. Through a population-based surveillance network, we collected data on 1342 confirmed cases with a 90-days follow-up for all asymptomatic cases. An age-stratified compartmental model containing contact information was built to estimate the transmissibility of symptomatic and asymptomatic COVID-19 cases. The difference in transmissibility of a symptomatic and asymptomatic case depended on age and was most distinct for the middle-age groups. The asymptomatic cases had a 66.7% lower transmissibility rate than symptomatic cases, and 74.1% (95% CI 65.9-80.7) of all asymptomatic cases were missed in detection. The average proportion of asymptomatic cases was 28.2% (95% CI 23.0-34.6). Simulation demonstrated that the burden of asymptomatic transmission increased as the epidemic continued and could potentially dominate total transmission. The transmissibility of asymptomatic COVID-19 cases is high and asymptomatic COVID-19 cases play a significant role in outbreaks.

Indexed as

COVID-19EpidemicsAsymptomatic InfectionsComputer SimulationDisease OutbreaksHumansMiddle AgedSARS-CoV-2Age-dependent contactasymptomatic caseCOVID-19SARS-CoV-2transmission

Identifiers

PMID36263615
PMCPMC9588416

What OpenQuestion holds

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Registered trials

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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.