A mathematical model of cervical cancer in Kenya

Abstract

Background : In this paper dynamic models for cervical cancer among women with diagnosed and undiagnosed cervical c ancer have been constructed. Methods : Differential equations for the population of women in each stage of diagnosed and undiagnosed cervical cancer were developed. The year 2010 was used as the base year. The equations were run through Matlab TM and results are presented in graphs. Results and Discussion : The growth patterns for both diagnosed and undiagnosed status in the population were identical. However, the only difference between the two has been observed as the initial values that are estimated from the WHO/ICO report taking 2010 as the base year for the respective stages. This was with assumption of no change in detection process.