Transmission roles of symptomatic and asymptomatic COVID-19 cases: a modelling study.
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.
Duke Scholars
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Related Subject Headings
- SARS-CoV-2
- Middle Aged
- Humans
- Epidemiology
- Epidemics
- Disease Outbreaks
- Computer Simulation
- COVID-19
- Asymptomatic Infections
- 4202 Epidemiology
Citation
Published In
DOI
EISSN
ISSN
Publication Date
Volume
Start / End Page
Related Subject Headings
- SARS-CoV-2
- Middle Aged
- Humans
- Epidemiology
- Epidemics
- Disease Outbreaks
- Computer Simulation
- COVID-19
- Asymptomatic Infections
- 4202 Epidemiology