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Optimal control of vertically transmitted disease: an integrated approach

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TLDR
It is shown that cost-effectiveness of both intervention strategies intimately depends on disease-related parameters, such as force of infection, probability of being infected to offspring from infected mothers, loss of immunity or rein infection and also on cost of treatment.
Abstract
We study the dynamics of a disease under administration of a vaccine and antiviral drug, where the disease transmits directly from the parents to the offspring (vertical transmission) and also through contact with infective individuals (horizontal transmission). While vaccination to those susceptible reduces the horizontal transmission, administration of the antiviral drug to infected individuals lessens the chance of vertical transmission. Thus the vaccine and antiviral drug play different roles in controlling the disease, which has both vertical and horizontal transmission. We develop a 3D model with Susceptible–Infected–Recovered under vaccination to the susceptible and antiviral treatment to the infected and consider a control theoretic approach using the Pontryagin maximum principle to analyse the costeffectiveness of the control process. Our results demonstrate that a mixed intervention strategy of vaccination and antiviral drug in a proper ratio is the most effective way to control the disease. We show that cost-effectiveness of both intervention strategies intimately depends on disease-related parameters, such as force of infection, probability of being infected to offspring from infected mothers, loss of immunity or reinfection and also on cost of treatment.

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Mathematical Modeling of Transmission Dynamics and Optimal Control of Vaccination and Treatment for Hepatitis B Virus

TL;DR: Numerical simulation results show that optimal combination of vaccination and treatment is the most effective way to control hepatitis B virus infection.
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Optimal vaccine distribution in a spatiotemporal epidemic model with an application to rabies and raccoons

TL;DR: In this article, an S-I-R (Susceptible, Infected, Immune) spatiotemporal epidemic model is formulated as a system of coupled parabolic partial differential equations with no-flux boundary conditions.
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Backward bifurcation and optimal control of a vector borne disease

TL;DR: In this paper, a simple mathematical model for the transmission dynamics of a vector-borne disease that incorporates both direct and indirect transmission is presented, and the model is analyzed using dynamical systems techniques and it reveals the backward bifurcation to occur for some range of parameters.
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Mathematical analysis of hepatitis B epidemic model with optimal control

TL;DR: In this paper, the authors provided the study about hepatitis B virus dynamics that can be controlled by education campaign (awareness), vaccination, and treatment, and the results of numerical simulations showed that the optimal combination of education campaign, vaccination, treatment and vaccination is the most efficient way to control the infection of hepatitis b virus (HBV) infection.
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Optimal Control of Multiple Transmission of Water-Borne Diseases

TL;DR: A controlled SIWR model was considered which was an extension of the simple SIR model by adjoining a compartment that tracks the pathogen concentration in the water that represented an immune boosting and pathogen suppressing drugs.
References
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