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Original Articles

Dynamic equilibria in an epidemic model with voluntary vaccinationsFootnote

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Pages 357-375 | Received 28 Jan 2008, Published online: 08 Jun 2009

Figures & data

Figure 1. The benefit and cost of vaccination as functions of the steady-state prevalence. The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338. With the given parameter values, and p=0.62. The solutions to the equation B(p)=c are 0.78 and 0.036. Since there does not exist a solution to EquationEquations (9)Equation(11) satisfying p=0.036 and α∈[0, 1], there cannot be an SSREE in which p=0.036. On the other hand, we obtain α=0.48∈[0, 1] from solving EquationEquations (9)Equation(11) given p=0.78. Therefore there exists an SSREE with (α, p)=(0.48, 0.78).

Figure 1. The benefit and cost of vaccination as functions of the steady-state prevalence. The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338. With the given parameter values, and p=0.62. The solutions to the equation B(p)=c are 0.78 and 0.036. Since there does not exist a solution to EquationEquations (9)–Equation(11) satisfying p=0.036 and α∈[0, 1], there cannot be an SSREE in which p=0.036. On the other hand, we obtain α=0.48∈[0, 1] from solving EquationEquations (9)–Equation(11) given p=0.78. Therefore there exists an SSREE with (α, p)=(0.48, 0.78).

Figure 2. The coexistence of multiple REEs starting with the same initial prevalence level. The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338. Given initial prevalence p 0=0.7 (and v 0=0), there exists an REE in which α t =0 ∀ t and p t converges to ; there also exists an REE in which α t =1 ∀ t and p t converges to p=0.62.

Figure 2. The coexistence of multiple REEs starting with the same initial prevalence level. The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338. Given initial prevalence p 0=0.7 (and v 0=0), there exists an REE in which α t =0 ∀ t and p t converges to ; there also exists an REE in which α t =1 ∀ t and p t converges to p=0.62.

Figure 3. Assuming the population is initially at the no-vaccination steady state, there can exist an REE in which susceptible agents’ behaviour changes starting at time T and the population eventually reaches the all-vaccinate steady state.

Figure 3. Assuming the population is initially at the no-vaccination steady state, there can exist an REE in which susceptible agents’ behaviour changes starting at time T and the population eventually reaches the all-vaccinate steady state.

Figure 4. The net cost of vaccination at time t<T given and α t =1 ∀ tT. The plot shows U*(p t )−(W*(p t )−c), t<T, where W* and U*, respectively, satisfy EquationEquations (29) and Equation(30), as a function of Tt. The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338.

Figure 4. The net cost of vaccination at time t<T given and α t =1 ∀ t≥T. The plot shows U*(p t )−(W*(p t )−c), t<T, where W* and U*, respectively, satisfy EquationEquations (29) and Equation(30), as a function of T−t. The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338.

Figure 5. Assuming the population is initially at the all-vaccinate steady state, there can exist an REE in which susceptible agents’ behaviour changes starting at time T and the population eventually reaches the no-vaccination steady state.

Figure 5. Assuming the population is initially at the all-vaccinate steady state, there can exist an REE in which susceptible agents’ behaviour changes starting at time T and the population eventually reaches the no-vaccination steady state.

Figure 6. The net benefit of vaccination at time t<T given p t =ptT and α t =0 ∀ tT. The plot shows , t<T, where satisfies EquationEquation (39), as a function of Tt. The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338.

Figure 6. The net benefit of vaccination at time t<T given p t =p ∀ t≤T and α t =0 ∀ t≥T. The plot shows , t<T, where satisfies EquationEquation (39), as a function of T−t. The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338.

Figure 7. The existence of periodic REEs.

Figure 7. The existence of periodic REEs.

Figure 8. A plot of (solid line) and (dashed line) with respect to p, where and , respectively, solve EquationEquations (43) and Equation(44). The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338.

Figure 8. A plot of (solid line) and (dashed line) with respect to p, where and , respectively, solve EquationEquations (43) and Equation(44). The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338.

Figure 9. A plot of W (p)−c (solid line) and u+(1−δ) (1−β p) U (f(p)) (dashed line) with respect to p, where W solves EquationEquation (49) and U satisfies EquationEquation (50). The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338. The two curves cross when p=0.0513 and p=0.973.

Figure 9. A plot of W (p)−c (solid line) and u+(1−δ) (1−β p) U (f(p)) (dashed line) with respect to p, where W solves EquationEquation (49) and U satisfies EquationEquation (50). The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338. The two curves cross when p=0.0513 and p=0.973.

Figure 10. A comparison of U* *(p, s) and W* *(p, s)−c. The set of (p, s) such that U* *(p, s)>W* *(p, s)−c is indicated by the unshaded region, while the shaded region is the set of (p, s) at which U* *(p, s)≤W* *(p, s)−c. The point (p, s)=(p, δ) is indicated by the black dot. The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338.

Figure 10. A comparison of U* *(p, s) and W* *(p, s)−c. The set of (p, s) such that U* *(p, s)>W* *(p, s)−c is indicated by the unshaded region, while the shaded region is the set of (p, s) at which U* *(p, s)≤W* *(p, s)−c. The point (p, s)=(p, δ) is indicated by the black dot. The parameter values used are: β=1, δ=0.07, ϵ=0.8, u=100, and c=338.

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