There are at least three errors in the manuscript, they are as follows:
- In the “Models with time-varying parameters” paragraph after equation (4), for the sentences
“εi(t) describe the clustering of the population [39,40] but can also describe a reduction in the population due to voluntary avoidance behavior or social distancing. However due to the absence of structural identifiability properties [41, 42] it should be very difficult to estimate simultaneously both β(t) and εi(t).”
“εi(t)” must be replaced by “εi(t)” in accordance with the rest of the manuscript. Then these sentences become:
“εi(t) describe the clustering of the population [39,40] but can also describe a reduction in the population due to voluntary avoidance behavior or social distancing. However due to the absence of structural identifiability properties [41, 42] it should be very difficult to estimate simultaneously both β(t) and εi(t).”
- In the Fig 3 caption the equation of β(t) must be read as:
“β(t) = β0.(1 + β1 sin(2πt/365+2πϕ) + β2 sin(2πt/(3 365)+2πϕ) + β3 sin(2πt/(0.5 365)+2πϕ))
and not:
“β(t) = β0.(1 + β1 sin(2πt/365+2πϕ) + β2 sin(2πt/(3 365)+2πϕ)) + β3 sin(2πt/(0.5 365)+2πϕ))
- In the “SIRS model” paragraph after equation (5), the sentence
“Initially non-informative priors were used for the volatility σ, the reporting rate ρ and the initial conditions γ(0) by β(0) but to reduce problems linked to practical non-identifiability materialized by correlation between some estimates, informative priors were used for ρ (see S1 Fig).”
must be replaced (as in the uncorrected proofs) by:
“Initially non-informative priors were used for the volatility σ, the reporting rate ρ and the initial conditions (S(0), I(0), β(0)) to reduce problems linked to practical non-identifiability materialized by correlation between some estimates, informative priors were used for ρ (see S1 Fig).”
Reference
- 1. Cazelles B, Champagne C, Dureau J (2018) Accounting for non-stationarity in epidemiology by embedding time-varying parameters in stochastic models. PLoS Comput Biol 14(8): e1006211. https://doi.org/10.1371/journal.pcbi.1006211 pmid:30110322
Citation: The PLOS Computational Biology Staff (2019) Correction: Accounting for non-stationarity in epidemiology by embedding time-varying parameters in stochastic models. PLoS Comput Biol 15(5): e1007062. https://doi.org/10.1371/journal.pcbi.1007062
Published: May 28, 2019
Copyright: © 2019 The PLOS Computational Biology Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.