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Correction: A control theory approach to optimal pandemic mitigation

  • Prakhar Godara,
  • Stephan Herminghaus,
  • Knut M. Heidemann
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In Fig 6, the red curves for ρ/τ = ∞ are incorrect. There should be no oscillations. Please see the correct Fig 6 here.

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Fig 6. Typical pandemic scenarios for different average immunity loss times.

ρ/τ{50, 93, 200, ∞}, corresponding to curves from right to left (or see color code), and different values for Ih, namely 0.01 in the top graph (a) and 0.0025 in the bottom graph (b). Solid curves: S(t). Dashed curves: α(t). The fraction of acutely infected citizens is kept at Ih in phase II until herd immunity is reached (S = 1/R0, horizontal dashed line). If this is successful (if Ih > Îh, see Eq 30) phase III begins, i.e., mitigation measures are being released (α = 0). For finite immune response (ρ/τ < ∞), S(t) oscillates around its limiting value S = 1/R0. In the limit of infinite immune response (ρ/τ = ∞), there are no oscillations and S(t) converges to S = 1-R = 1+W(exp(-1-R0Ih)), with the Lambert W function (see also Fig 3). Other parameters: R0 = 3, τ = 10 days.

https://doi.org/10.1371/journal.pone.0315749.g001

Reference

  1. 1. Godara P, Herminghaus S, Heidemann KM (2021) A control theory approach to optimal pandemic mitigation. PLOS ONE 16(2): e0247445. https://doi.org/10.1371/journal.pone.0247445 pmid:33606802