| dc.contributor.author | Kivuti-Bitok, Lucy W | |
| dc.contributor.author | Pokhariyal, Ganesh P | |
| dc.contributor.author | Geoff, McDonnell | |
| dc.contributor.author | Roudsari, Abdul | |
| dc.date.accessioned | 2015-04-08T13:23:17Z | |
| dc.date.available | 2015-04-08T13:23:17Z | |
| dc.date.issued | 2013 | |
| dc.identifier.uri | http://hdl.handle.net/11295/81955 | |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | University of Nairobi | en_US |
| dc.subject | Cervical cancer, mathematical modeling, Kenya, stages | en_US |
| dc.title | A mathematical model of cervical cancer in Kenya | en_US |
| dc.type | Article | en_US |
| dc.type.material | en_US | en_US |
