Selected article for: "exponential growth and feedback loop"

Author: Daniel E Platt; Laxmi E Parida; Pierre Zalloua
Title: Lies, Gosh Darn Lies, and Not Enough Good Statistics: Why Epidemic Model Parameter Estimation Fails
  • Document date: 2020_4_21
  • ID: 9916y6x0_6
    Snippet: Early in the evolution of the infection, which may be defined as when − ≪ , the variables immediately involved in the feedback loop determine the rate limiting step. Therefore, identifying the eigenvectors represent the linear combinations of , , , and that grow or decay with the that eigenvalue. The combinations of eigenmodes is determined by initial conditions. The leading eigenvalue will dominate with exponential growth yielding fixed prop.....
    Document: Early in the evolution of the infection, which may be defined as when − ≪ , the variables immediately involved in the feedback loop determine the rate limiting step. Therefore, identifying the eigenvectors represent the linear combinations of , , , and that grow or decay with the that eigenvalue. The combinations of eigenmodes is determined by initial conditions. The leading eigenvalue will dominate with exponential growth yielding fixed proportions of each of the , , , and to each other. The other terms turn out to identify rates related to the delay time for the system to respond to changes in distancing policy due to incubation time, to imbalances between symptomatic and asymptomatic patients, and to the decay of .

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