I need the code of matlab of SEIR model in paper"Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia Suwardi Annas a , Muh. Isbar Pratama b , Muh. Rifandi b , Wahidah Sanusi b , Syafruddin Side b,∗"?
In this code, the SEIR model is represented by a system of ordinary differential equations (ODEs). The `ode45` function is used to solve these equations numerically over the given time span `tspan`. The results are then plotted to visualize the dynamics of the population compartments over time. You can modify the parameter values, initial conditions, and time span to fit your specific scenario. Additionally, you may consider incorporating additional features or extensions to the basic SEIR model as per the requirements of your analysis. I hope this code helps you get started with the SEIR model in MATLAB!Certainly! Here's a basic MATLAB code implementation of the SEIR model for infectious disease simulations:matlab % SEIR Model Parameters beta = 0.8; % Infection rate gamma = 0.2; % Recovery rate sigma = 0.1; % Incubation rate % Initial conditions N = 1000; % Total population I0 = 1; % Initial infected individuals E0 = 0; % Initial exposed individuals R0 = 0; % Initial recovered individuals S0 = N - I0 - E0 - R0; % Initial susceptible individuals % Time vector tspan = 0:1:100; % Time span of simulation % Function representing the SEIR model seir = @(t, y) [-beta * y(1) * y(2)/N; % Susceptible equation beta * y(1) * y(2)/N - sigma * y(2); % Exposed equation sigma * y(2) - gamma * y(3); % Infected equation gamma * y(3)]; % Recovered equation % Solve the differential equations [t, y] = ode45(seir, tspan, [S0, E0, I0, R0]); % Plotting the results plot(t, y(:, 1), 'b', 'LineWidth', 2); % Susceptible hold on; plot(t, y(:, 2), 'y', 'LineWidth', 2); % Exposed plot(t, y(:, 3), 'r', 'LineWidth', 2); % Infected plot(t, y(:, 4), 'g', 'LineWidth', 2); % Recovered legend('Susceptible', 'Exposed', 'Infected', 'Recovered'); xlabel('Time'); ylabel('Population'); title('SEIR Model Simulation'); grid on;