In-host Density-dependent Model of High-risk HPV Virions, Basal Cells, and Lymphocytes T-cells Incorporating Functional Responses
No Thumbnail Available
Date
2024-08
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
ELOSY MAKENA
Abstract
Cervical cancer is one of the most common types of cancer and it is caused mostly by
high-risk Human Papillomavirus (HPV) and continues to spread at an alarming rate.
While HPV impacts have been investigated before, there are currently only a scanty
number of mathematical models that account for HPVās dynamic role in cervical
cancer. The objectives were to develop an in-host density-dependent deterministic
model for the dynamics implications of basal cells, virions, and lymphocytes
incorporating immunity and functional responses. Analyze the model using techniques
of epidemiological models such as basic reproduction number and simulate the model
using Matlab ODE solver. Six compartments are considered in the model that is;
Susceptible cells (S), Infected cells (I), Precancerous cells (P), Cancerous cells (C),
Virions (V), and Lymphocytes (L). Next generation matrix (NGM), survival function,
and characteristic polynomial method were used to determine the basic reproduction
number denoted as š
š
0. The findings from this research indicated that the Disease-Free
Equilibrium point is locally asymptotically stable whenever š
š
0
ā < 1 and globally
asymptotically stable if š
š
0
ā ā¤ 1 and the Endemic Equilibrium is globally
asymptotically stable if š
š
0
ā > 1. The results obtained show that the progression rate of
precancerous cells to cancerous cells (šš) has the most direct impact on the model. The
model was able to estimate the longevity of a patient as 10 days when (šš) increases
by 8%. The findings of this research will help healthcare providers, public authorities,
and non-governmental health groups in creating effective prevention strategies to slow
the development of cervical cancer. More research should be done to determine the
exact number of cancerous cells that can lead to the death of a cervical cancer patient
since this paper estimated a proportion of 75%.
Keywords: In-host model, functional responses, stability analysis, simulation and
reproduction number.
Description
Thesis