2018
DOI: 10.3934/jimo.2017054
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Ebola model and optimal control with vaccination constraints

Abstract: The Ebola virus disease is a severe viral haemorrhagic fever syndrome caused by Ebola virus. This disease is transmitted by direct contact with the body fluids of an infected person and objects contaminated with virus or infected animals, with a death rate close to 90% in humans. Recently, some mathematical models have been presented to analyse the spread of the 2014 Ebola outbreak in West Africa. In this paper, we introduce vaccination of the susceptible population with the aim of controlling the spread of th… Show more

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Cited by 61 publications
(44 citation statements)
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“…We investigated the process of financial contamination from the point of view of infection spreading among countries that form an interconnected closed-form system. It was shown how strongly the behaviour of infection depends on the values of the transmission and recovery rates, respectively parameters β and γ. Interestingly enough, the results obtained by the continuous-time epidemiological model (1), which are usually valid for a large N (large population), are in agreement with those obtained by the discrete-time (network) epidemiological model of Section 4, which are usually used for a small population N . The application of optimal control has justified itself, showing how significant and successful the results can be on the way to recovery, thus demonstrating the need for a thorough control of the quantity guaranteed loans and the financial stability of countries in order to avoid the negative effects of financial risks.…”
Section: Resultssupporting
confidence: 83%
See 1 more Smart Citation
“…We investigated the process of financial contamination from the point of view of infection spreading among countries that form an interconnected closed-form system. It was shown how strongly the behaviour of infection depends on the values of the transmission and recovery rates, respectively parameters β and γ. Interestingly enough, the results obtained by the continuous-time epidemiological model (1), which are usually valid for a large N (large population), are in agreement with those obtained by the discrete-time (network) epidemiological model of Section 4, which are usually used for a small population N . The application of optimal control has justified itself, showing how significant and successful the results can be on the way to recovery, thus demonstrating the need for a thorough control of the quantity guaranteed loans and the financial stability of countries in order to avoid the negative effects of financial risks.…”
Section: Resultssupporting
confidence: 83%
“…. ) that are widely used for modelling infectious diseases [1,14]. These epidemiological models are based on dividing the population into compartments, with the assumption that every individual in the same compartment has the same characteristics [5,15,17].…”
Section: Epidemiological Modelmentioning
confidence: 99%
“…Then the central issue is how to implement such interventions in an optimal way. This investigation program has been carried out for several infectious diseases with classical integerorder compartmental models: see, e.g., [36] for HRSV and [29] and [11,33,34] for Zika and Ebola viruses, respectively, where the implementation of optimal control interventions are proposed. Here we extend such approach with new fractional compartmental models.…”
Section: Introductionmentioning
confidence: 99%
“…, 4. Then, the adjoint system in Equation (10) is solved by a backward fourth-order Runge-Kutta scheme using the current iteration solution of Equation (4). The controls are updated by using a convex combination of the previous controls and the values from Equation (9).…”
Section: Numerical Solution Of the Hiv Optimal Control Problemmentioning
confidence: 99%
“…In recent years, mathematical modeling of processes in biology and medicine, in particular in epidemiology, has led to significant scientific advances both in mathematics and biosciences [1,2]. Applications of mathematics in biology are completely opening new pathways of interactions, and this is certainly true in the area of optimal control: a branch of applied mathematics that deals with finding control laws for dynamical systems over a period of time such that an objective functional is optimized [3,4]. It has numerous applications in both biology and medicine [5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%