Selected article for: "growth rate and infection number"

Author: Zhanshan (Sam) Ma
Title: A Simple Mathematical Model for Estimating the Inflection Points of COVID-19 Outbreaks
  • Document date: 2020_3_27
  • ID: fttqmts4_25
    Snippet: € ln(I) = ln(c) + w ln(T), (6) in which w is the slope of the log-linear model or the derivative of I(T), i.e., the change (growth) rate of infections over time, and c is the initial infection number. Since the taper-off effects of parameter d is usually rather weak before the infection peaks, it is reasonable to consider w as an approximation of the infection growth rate, and c as an approximation of the initial infection number......
    Document: € ln(I) = ln(c) + w ln(T), (6) in which w is the slope of the log-linear model or the derivative of I(T), i.e., the change (growth) rate of infections over time, and c is the initial infection number. Since the taper-off effects of parameter d is usually rather weak before the infection peaks, it is reasonable to consider w as an approximation of the infection growth rate, and c as an approximation of the initial infection number.

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