Between Host Model for Cervical Cancer Incorporating Diagnosis
Asian Research Journal of Mathematics · pp. 39–50 · Published 8 Mar 2023
10.9734/arjom/2023/v19i4652Abstract
In this paper a mathematical model describing a between host cervical cancer infection incorporating diagnosis was formulated and analysed. The qualitative analysis of model showed that the infection dynamics can best be described by the threshold value R0B , in which for the value of R0B < 1 the infection free equilibrium is globally asymptotically stable. This implies that we do not expect the disease outbreak for life. Thus, the disease will die out of the population. The endemic states are shown to exist provided that the reproduction number is greater than unity R0B > 1 . By use of Routh-Hurwitz criterion and suitable Lyapunov functions, the endemic states are shown to be locally and globally asymptotically stable respectively. This implies that disease transmission levels can be kept quite low or manageable with minimal deaths at the peak times of the re-occurrences. The numerical results show that the disease related mortality is eradicated if diagnosis is done at an early stage hence late diagnosis increases the risk of cervical cancer infection among the infected individuals.
Cited by 0
No indexed citations yet.
Related research
- Application of Mathematical Models in Drug Release Kinetics of Cyanocobalamine Fast Dissolving Sublingual Film — shares topic coverage
- Modelling Water Absorption Kinetics of Abrohemaa, Omankwa, and Akposoe Maize Varieties — shares topic coverage
- Pack-cyaniding: A Comparative Study of Low and High-Temperature Treatment — shares topic coverage
- Effect of Placenta and Fermentation Duration on Drying Dynamics of Cocoa Beans in a Tropical Environment — shares topic coverage
- Analysis of Direct, Diffuse and Global Solar Radiations over Varanasi at Eastern Indo-Gangetic Plain (IGP), India — shares topic coverage
Article metrics
Real usage data collected on this platform.
21
Page views
0
PDF downloads
2
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.