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Creators/Authors contains: "Tung, Hwai-Ray"

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  1. ; (, SIAM Journal on Applied Mathematics)
    Free, publicly-accessible full text available October 31, 2026
  2. ; (, Bulletin of Mathematical Biology)
    Free, publicly-accessible full text available May 1, 2026
  3. ; (, Bulletin of Mathematical Biology)
    Full Text Available 
  4. ; (, Theoretical Population Biology)
    Full Text Available 
  5. ; ; ; ; ; ; (, Proceedings of the National Academy of Sciences)
    The main mathematical result in this paper is that change of variables in the ordinary differential equation (ODE) for the competition of two infections in a Susceptible–Infected–Removed (SIR) model shows that the fraction of cases due to the new variant satisfies the logistic differential equation, which models selective sweeps. Fitting the logistic to data from the Global Initiative on Sharing All Influenza Data (GISAID) shows that this correctly predicts the rapid turnover from one dominant variant to another. In addition, our fitting gives sensible estimates of the increase in infectivity. These arguments are applicable to any epidemic modeled by SIR equations. 
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  6. ; ; ; ; ; (, Mathematical Biosciences and Engineering)
    null (Ed.)
    Full Text Available