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Model of Immune Response with Time-Dependent Immune Reactivity

time t
500
time delay τ
3
season length T
5
The probability of getting a disease is related to the efficiency of the immune system, which can change with the seasons of the year. This Demonstration shows the solution of a model of the immune system that has periodic changes in the immune reactivity due to changes in the environment.
The model consists of three delay ordinary differential equations
v'=(β-γ)v
,
c'=α(t)v(t-τ)f(t-τ)-μ(c-1)
,
f'=μρ(t)(c-f)-ηvf
,
with initial history functions
f(t0)=c((t0)=1
and
v(t0)=
-5
10
;
α(t)
is the immune reactivity (the immune response of the infected individual):
α(t)=
a
c
1+sin
2t
T
, and
ρ(t)=1
is the antibody production rate per plasma cell due to the presence of antigens. Here
v
,
c
, and
f
represent antigen, plasma cells, and antibody concentrations;
β
is the antigen reproduction rate;
γ
is the probability of an antigen-antibody encounter;
μ
is the reciprocal of the plasma cell lifetime;
η
is the number of antibodies necessary to suppress one antigen; and
a
c
is a constant. Values of these parameters are taken from the reference. Time is
t
,
τ
is the time delay necessary for the formation of plasma cells and antibodies, and
T
is the length of the season. Large ratios of antibody to antigen concentrations,
f(t)
v(t)
, correspond to a strong immune system in which reactions are fast and in which the organism has strong resistance; on the other hand, small values of this ratio imply immunodeficiency.
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