Selected article for: "individual mortality and population level"

Author: Lucas Böttcher; Mingtao Xia; Tom Chou
Title: Why estimating population-based case fatality rates during epidemics may be misleading
  • Document date: 2020_3_30
  • ID: embnko1q_47
    Snippet: Although population-level quarantining does not directly affect the individual mortality M 1 (t|τ 1 ) orM 1 (t), it can be easily incorporated into the SIR-type population dynamics equations through changes in β(τ, t)S(t). For example, we have set S(t > t q ) = 0 to represent implementation of a quarantine after t q = 50 days of the outbreak. After t q = 50 days, no new infections occur and the estimates CFR d (t, τ res ) and M 0 p (t) start .....
    Document: Although population-level quarantining does not directly affect the individual mortality M 1 (t|τ 1 ) orM 1 (t), it can be easily incorporated into the SIR-type population dynamics equations through changes in β(τ, t)S(t). For example, we have set S(t > t q ) = 0 to represent implementation of a quarantine after t q = 50 days of the outbreak. After t q = 50 days, no new infections occur and the estimates CFR d (t, τ res ) and M 0 p (t) start converging immediately towards their steady-state values (see Fig. 3(d) ). Since the number of deaths decreases after the implementation of quarantine measures, the delayed CFR d (t, τ res = 17) is first decreasing until t = t q + τ res = 67. For t > 67, the CFR d (t, τ res = 17) measures no new cases and is thus equal to the CFR.

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