Use the fitnlm function in matlab (or an alternative nonlinear regression method) to fit equation 3 from Konate et al. and retrieve the values for the R0 and alpha parameters. (relevant matlab code shown below).

model3=@(b,x)100.*((b(1).*x/b(2))+1).^-b(2)
beta=[1,0.5];
fit=fitnlm(t,y,model3,beta);
[R0,alpha]=fit.Coefficients.Estimate;