In this work, we developed a compartmental bio-mathematical model to
study the effect of treatment in the control of malaria in a population with
infected immigrants. In particular, the vector-host population model consists
of eleven variables, for which graphical profiles were provided to depict their
individual variations with time. This was possible with the help of MathCAD
software which implements the Runge-Kutta numerical algorithm to solve
numerically the eleven differential equations representing the vector-host
malaria population model. We computed the basic reproduction ratio *R*_{0} following the next generation matrix. This procedure converts a system of
ordinary differential equations of a model of infectious disease dynamics to
an operator that translates from one generation of infectious individuals to
the next. We obtained *R*_{0} = , *i.e*., the square root of the product of
the basic reproduction ratios for the mosquito and human populations respectively. *R*_{0m} explains the number of humans that one mosquito can infect
through contact during the life time it survives as infectious. *R*_{0h} on the
other hand describes the number of mosquitoes that are infected through
contacts with the infectious human during infectious period. Sensitivity
analysis was performed for the parameters of the model to help us know
which parameters in particular have high impact on the disease transmission,
in other words on the basic reproduction ratio *R*_{0}.

%K Malaria Control
%K Infected Immigrants
%K Basic Reproduction Ratio
%K Differential Equations
%K MathCAD Simulation
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=88600