Global optimal vaccination in the SIR model: Properties of the value function and application to cost-effectiveness analysis

•We analyze the optimal vaccination policy in a SIR compartmental model.•The value function is proven to be the unique solution of a HJB equation.•We discuss differences with respect to the existing literature.•We apply the theory to a cost-effectiveness analysis.•The model predicts when the long te...

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Published inMathematical biosciences Vol. 263; pp. 180 - 197
Main Authors Laguzet, Laetitia, Turinici, Gabriel
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.05.2015
Elsevier
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Online AccessGet full text
ISSN0025-5564
1879-3134
1879-3134
DOI10.1016/j.mbs.2015.03.002

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Abstract •We analyze the optimal vaccination policy in a SIR compartmental model.•The value function is proven to be the unique solution of a HJB equation.•We discuss differences with respect to the existing literature.•We apply the theory to a cost-effectiveness analysis.•The model predicts when the long term herd immunity effects offset the initial cost. This work focuses on optimal vaccination policies for an Susceptible–Infected–Recovered (SIR) model; the impact of the disease is minimized with respect to the vaccination strategy. The problem is formulated as an optimal control problem and we show that the value function is the unique viscosity solution of an Hamilton–Jacobi–Bellman (HJB) equation. This allows to find the best vaccination policy. At odds with existing literature, it is seen that the value function is not always smooth (sometimes only Lipschitz) and the optimal vaccination policies are not unique. Moreover we rigorously analyze the situation when vaccination can be modeled as instantaneous (with respect to the time evolution of the epidemic) and identify the global optimum solutions. Numerical applications illustrate the theoretical results. In addition the pertussis vaccination in adults is considered from two perspectives: first the maximization of DALY averted in presence of vaccine side-effects; then the impact of the herd immunity on the cost-effectiveness analysis is discussed on a concrete example.
AbstractList This work focuses on optimal vaccination policies for an Susceptible - Infected - Recovered (SIR) model; the impact of the disease is minimized with respect to the vaccination strategy. The problem is formulated as an optimal control problem and we show that the value function is the unique viscosity solution of an Hamilton - Jacobi - Bellman (HJB) equation. This allows to find the best vaccination policy. At odds with existing literature, it is seen that the value function is not always smooth (sometimes only Lipschitz) and the optimal vaccination policies are not unique. Moreover we rigorously analyze the situation when vaccination can be modeled as instantaneous (with respect to the time evolution of the epidemic) and identify the global optimum solutions. Numerical applications illustrate the theoretical results. In addition the pertussis vaccination in adults is considered from two perspectives: first the maximization of DALY averted in presence of vaccine side-effects; then the impact of the herd immunity on the cost-effectiveness analysis is discussed on a concrete example.
•We analyze the optimal vaccination policy in a SIR compartmental model.•The value function is proven to be the unique solution of a HJB equation.•We discuss differences with respect to the existing literature.•We apply the theory to a cost-effectiveness analysis.•The model predicts when the long term herd immunity effects offset the initial cost. This work focuses on optimal vaccination policies for an Susceptible–Infected–Recovered (SIR) model; the impact of the disease is minimized with respect to the vaccination strategy. The problem is formulated as an optimal control problem and we show that the value function is the unique viscosity solution of an Hamilton–Jacobi–Bellman (HJB) equation. This allows to find the best vaccination policy. At odds with existing literature, it is seen that the value function is not always smooth (sometimes only Lipschitz) and the optimal vaccination policies are not unique. Moreover we rigorously analyze the situation when vaccination can be modeled as instantaneous (with respect to the time evolution of the epidemic) and identify the global optimum solutions. Numerical applications illustrate the theoretical results. In addition the pertussis vaccination in adults is considered from two perspectives: first the maximization of DALY averted in presence of vaccine side-effects; then the impact of the herd immunity on the cost-effectiveness analysis is discussed on a concrete example.
Author Laguzet, Laetitia
Turinici, Gabriel
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Keywords Optimal vaccination
Vaccination region
SIR model
Herd immunity and cost-effectiveness
vaccination region
optimal vaccination
herd immunity and cost-effectiveness
Language English
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Snippet •We analyze the optimal vaccination policy in a SIR compartmental model.•The value function is proven to be the unique solution of a HJB equation.•We discuss...
This work focuses on optimal vaccination policies for an Susceptible-Infected-Recovered (SIR) model; the impact of the disease is minimized with respect to the...
This work focuses on optimal vaccination policies for an Susceptible - Infected - Recovered (SIR) model; the impact of the disease is minimized with respect to...
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SubjectTerms Cost-Benefit Analysis
Herd immunity and cost-effectiveness
Human health and pathology
Humans
Immunity, Herd
Infectious diseases
Life Sciences
Mass Vaccination - standards
Mathematics
Models, Theoretical
Numerical Analysis
Optimal vaccination
Optimization and Control
Santé publique et épidémiologie
SIR model
Vaccination region
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Title Global optimal vaccination in the SIR model: Properties of the value function and application to cost-effectiveness analysis
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