2015
DOI: 10.56947/gjom.v3i3.152
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Modelling and stability analysis of SVEIRS yellow fever two host model

Abstract: We describe transmission dynamics of yellow fever (YF) within two host populations, and build up a deterministic SVEIRS model with vaccination to the entire new born. The model aims at clarifying contributions of mathematical ideas in studying the impact of YF disease dynamics. We examine existence of equilibrium solutions and give out conditions that are sufficient for existence of realistic equilibria. Threshold of the form R0 = √(Rhv + Rvm) is obtained, where Rhv and Rvm are reproduction numbers for human-v… Show more

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Cited by 6 publications
(7 citation statements)
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“…Epidemiological modeling studies commonly assume that people from endemic communities are immune or vaccinated and symptomatic individuals do not travel ( 25 ). Migrants may not necessarily be from the endemic community, but they could have been exposed to the virus when passing through it and thus are more likely to be susceptible, acquiring and transmitting the disease.…”
Section: Discussionmentioning
confidence: 99%
“…Epidemiological modeling studies commonly assume that people from endemic communities are immune or vaccinated and symptomatic individuals do not travel ( 25 ). Migrants may not necessarily be from the endemic community, but they could have been exposed to the virus when passing through it and thus are more likely to be susceptible, acquiring and transmitting the disease.…”
Section: Discussionmentioning
confidence: 99%
“…negative, hence the first condition is satisfied (Kung'aro et al, 2015). By definition, the optimal solution u * i (t) ∈ R n is convex and bounded in U and thus the second condition is also satisfied (Collins et al, 2009;Mpeshe et al, 2014a;Mlay et al, 2015).…”
Section: Existence Of the Optimal Controlsmentioning
confidence: 98%
“…The Principle is used to obtain the differential equations for the adjoint variables, corresponding boundary conditions as well as the characterization of an optimal solution J (u * i ) for the optimal model (104). Characterization gives a representation of an optimal control in terms of state variables by minimizing the Hamiltonian, H (X, u, λ), with respect to the controls and the adjoint function (Namawejje et al, 2015;Kung'aro et al, 2015). To obtain the minimum Lagrangian of the optimal problem, we establish the Hamiltonian function H (X, u, λ), of the control problem with respect to its state variable X (t), control variable u (t) and the adjoint function λ (t) as follows:…”
Section: Characterization Of the Optimal Controlmentioning
confidence: 99%
“…We therefore take our strategies to be strategy A (personal protection only), strategy B (personal protection and spray of insecticides) and strategy C (personal protection, educational campaign combined with spray of insecticides) and the baseline option of no strategy (no control). Thus, based on the model simulation results of the paper titled Application of optimal control strategies for the dynamics of YF by Kung'aro et al (2015) [Chapter 4] we rank the strategies in order of increasing effectiveness as in Table 5.1. We assume that costs of personal protection and educational campaign are directed to all human population groups (i.e susceptible, vaccinated, exposed, infected and recovered), while spray of insecticide (which include larvicide and adulticide) costs will be directed to buying of the spraying medicine and paying the workers who engage on spraying activities for the aim of reducing vector population.…”
Section: Incremental Cost-effectiveness Ratiomentioning
confidence: 99%