Regional control problem in reaction-diffusion equations. Application to epidemiology
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2024-01-24 05:05
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ANITA, Sebastian, DIMITRIU, Gabriel. Regional control problem in reaction-diffusion equations. Application to epidemiology. In: Mathematics and Information Technologies: Research and Education, Ed. 2021, 1-3 iulie 2021, Chişinău. Chișinău, Republica Moldova: 2021, pp. 10-11.
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Mathematics and Information Technologies: Research and Education 2021
Conferința "Mathematics and Information Technologies: Research and Education"
2021, Chişinău, Moldova, 1-3 iulie 2021

Regional control problem in reaction-diffusion equations. Application to epidemiology


Pag. 10-11

Anita Sebastian1, Dimitriu Gabriel2
 
1 Alexandru Ioan Cuza University of Iaşi,
2 University of Medicine and Pharmacy “Grigore T. Popa”, Iasi
 
 
Disponibil în IBN: 29 iunie 2021


Rezumat

A two-component reaction-diffusion system to describe the spread of malaria is considered. The epidemiological model describes the dynamics of the infected mosquitoes and of the infected humans. The spread of the disease is controlled by three actions (controls) implemented in a subdomain of the habitat: killing mosquitoes, treating the infected humans and reducing the contact rate mosquitoes-humans. To start with, the problem of the eradicability of the disease is considered, while the cost of the controls is ignored. We prove that it is possible to decrease exponentially both the human and the vector infective population everywhere in the relevant habitat by acting only in a suitable subdomain. Later the regional control problem of reducing the total cost of the damages produced by the disease, of the controls and of the intervention in a certain subdomain is treated for the finite time horizon case. An iterative algorithm to decrease the total cost is proposed; apart from the three controls considered above, the logistic structure of the habitat is taken into account. The level set method is used as a key ingredient for describing the subregion of intervention. In order to quantify the decreasing speed for the number of infected mosquitoes and humans populations, the corresponding decreasing rates along the iterations are also evaluated.