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using Matlab Modify the model derived in class to assess the following situation. Suppose an epidemic ( which shall remain nameless ) raises all group

using Matlab Modify the model derived in class to assess the following situation. Suppose an epidemic (which shall remain nameless) raises all group death rates for given period of time (i.e. it works much like the pulse script from last week & problem 2). This epidemic also lowers b2 birthrate. Assume migration is constant for group P2.
SETUP:
parameters=[ b2,d1,d2,d3,d4,t12,t23,t34] where
b2, birth rate in group 2
di, death rates in group Pi
tij, transition from group Pi to group Pj due to ageing
Epidemic effects =[b2Epifactor,drateEpifactor,tStartEpi,tEndEpi], where
b2Epifactor, b2Epi= b2*b2Epifactor
drateEpifactor, d1Epi= d1*drateEpifactor, etc.
M2ann, constant migration rate for P2
initial conditions =[ Pinit1,Pinit2,Pinit3,Pinit4]
time data =[tinit,tfinal,delt]
RESULTS:
P1,P2,P3,P4, group time histories as row vectors. If these conventions are not followed an incorrect answer will result. % Parameters
b2=.025;
d1=.004;
d2=.0075;
d3=.012;
d4=.019;
t12=.067;
t23=.04;
t34=.04;
b2Epifactor=0.5; % decreases b2
drateEpifactor=2.0; % increases di
tStartEpi=25;
tEndEpi=40;
% Migration effect M2
M2ann=80;
% Initial conditions (in 1000's for convenience)
Pinit1=1200;
Pinit2=1000;
Pinit3=800;
Pinit4=600;
% Solution control data
tinit=0.;
tfinal=100.;
delt=0.5;
%% Your code goes here %%
% DISPLAY RESULTS SECTION ----- THIS SECTION WILL HELP YOU VISUALIZE YOUR RESULTS
figure
subplot(2,1,1)
plot(t,P1(:),'-',t,P2(:),'--','LineWidth',2);
title('Case 3: Epidemic. P1, P2 histories');
%xlabel('t, years');
ylabel('P1, P2');
legend('P1','P2');
grid on
subplot(2,1,2)
plot(t,P1(:),'-',t,P2(:),'--',t,P3(:),'-.',t,P4(:),...
':','LineWidth',2);
title('P1, P2, P3, P4 histories');
xlabel('t, years')
ylabel('P1, P2, P3, P4');
legend('P1','P2','P3','P4')
grid on
%------------------------------------------------------------------------

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