z-logo
open-access-imgOpen Access
Optimal Control of Cervical Cancer Model with Vaccination and Screening
Author(s) -
Karunia Theda Kristanti,
Trisilowati Trisilowati,
Agus Wahyu Widodo
Publication year - 2021
Publication title -
the journal of experimental life sciences
Language(s) - English
Resource type - Journals
eISSN - 2338-1655
pISSN - 2087-2852
DOI - 10.21776/ub.jels.2020.010.02.01
Subject(s) - vaccination , cervical cancer , medicine , cancer , virology
In this paper, an optimal control problem of a cervical cancer model with vaccination and screening as controls is discussed. This vaccine can stimulate the immune system to produce antibodies that can prevent the occurrence of human papillomavirus (HPV) infections, while screening is used as secondary prevention of early detection of cervical cancer cells so that treatment can begin immediately. The models were divided into two compartments, females and males. The female’s compartment consists of susceptible, vaccinated, infected, screening, cervical cancer, and recovered females. Meanwhile, the male’s compartment consists of susceptible, infected, and recovered males. The purpose of this optimal control was to minimize the number of infected females, infected males, and cervical cancer, as well as to minimize the cost of the controls. Optimal control was obtained by using the Pontryagin principle. Furthermore, an optimal control problem was solved numerically using the Forward-Backward Sweep method to determine the effect of vaccination and screening on the model. The results indicate that vaccination and screening as controls are effective in reducing the subpopulation of HPV infection, which can further reduce the occurrence of cervical cancer. Keywords: cervical cancer, vaccination, screening, optimal control

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom