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How time-scale differences in asymptomatic and symptomatic transmission shape SARS-CoV-2 outbreak dynamics
Jeremy D Harris1, Sang Woo Park2, Jonathan Dushoff3
1School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
Differences in SARS-CoV-2 transmission time scales between asymptomatic and symptomatic cases impact epidemic dynamics. Longer asymptomatic transmission scales increase the effective proportion of asymptomatic cases during incidence decline, affecting outbreak analysis.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Infectious Disease Dynamics
Background:
- Asymptomatic and symptomatic SARS-CoV-2 infections exhibit distinct transmission time scales.
- These differences can influence outbreak dynamics and bias estimations of epidemic parameters like strength and speed.
Purpose of the Study:
- To explore how variations in asymptomatic versus symptomatic transmission time scales affect the realized proportion of asymptomatic transmission throughout an epidemic.
- To investigate the impact of these time-scale differences on age-dependent transmission patterns in populations with varying symptom probabilities.
Main Methods:
- Utilized a series of nonlinear epidemic models to simulate and analyze transmission dynamics.
- Incorporated concepts of generation intervals and age-dependent assortative mixing.
Main Results:
- When asymptomatic transmission time scales are longer than symptomatic ones, the effective proportion of asymptomatic transmission rises as incidence falls.
- Time-scale differences are amplified by correlations between infector and infectee infection status.
- Age-related symptom probability combined with longer asymptomatic intervals leads to a younger age of infection during epidemic decline.
Conclusions:
- Time-scale differences in transmission are crucial for understanding epidemic dynamics beyond initial growth phases.
- These factors, alongside behavioral changes, are essential for accurate outbreak analysis, including early-stage parameter estimation and later-stage shifts in infection demographics.
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