You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: DEM_COVID_UTLA.m
    path of file: ./repos/spm/toolbox/DEM
    
    the code of the file until where you have to start completion: function [DCM] = DEM_COVID_UTLA
% FORMAT [DCM] = DEM_COVID_UTLA
%
% Demonstration of COVID-19 modelling with stratified populations
%__________________________________________________________________________
%
% This demonstration routine fixed multiple regional death by date and new
% cases data and compiles estimates of latent states for local
% authorities served by an NHS trust provider.
%
% Technical details about the dynamic causal model used here can be found
% at https://www.fil.ion.ucl.ac.uk/spm/covid-19/.
%
% The (annotated) open source code creating these graphics is
% DEM_COVID_DASH.m
%__________________________________________________________________________
% Copyright (C) 2020 Wellcome Centre for Human Neuroimaging

% Karl Friston
% Copyright (C) 2008-2022 Wellcome Centre for Human Neuroimaging


% NHS postcode data
%==========================================================================
% http://geoportal.statistics.gov.uk/datasets/75edec484c5d49bcadd4893c0ebca0ff_0
% xy   = readmatrix('NHS_Postcode.csv','range',[2 1  2643867 2]);
% pc   = readmatrix('NHS_Postcode.csv','range',[2 5  2643867 5], 'OutputType','char');
% cc   = readmatrix('NHS_Postcode.csv','range',[2 12 2643867 12],'OutputType','char');
% G.X  = xy(:,1);
% G.Y  = xy(:,2);
% G.PC = pc;
% G.LT = cc;

% LTLA   = readmatrix('Population_LTLACD.xlsx','range',[6 1  35097 1], 'OutputType','char');
% Pop    = readmatrix('Population_LTLACD.xlsx','range',[6 4  35097 4], 'OutputType','char');

% NHS provider code to post code
%--------------------------------------------------------------------------
% E    = importdata('etr.xlsx');
% E    = E.textdata(:,[1,10]);

% save('COVID_CODES','G','E')
% load codes

    
function [DCM] = DEM_COVID_UTLA
% FORMAT [DCM] = DEM_COVID_UTLA
%
% Demonstration of COVID-19 modelling with stratified populations
%__________________________________________________________________________
%
% This demonstration routine fixed multiple regional death by date and new
% cases data and compiles estimates of latent states for local
% authorities served by an NHS trust provider.
%
% Technical details about the dynamic causal model used here can be found
% at https://www.fil.ion.ucl.ac.uk/spm/covid-19/.
%
% The (annotated) open source code creating these graphics is
% DEM_COVID_DASH.m
%__________________________________________________________________________
% Copyright (C) 2020 Wellcome Centre for Human Neuroimaging

% Karl Friston
% Copyright (C) 2008-2022 Wellcome Centre for Human Neuroimaging


% NHS postcode data
%==========================================================================
% http://geoportal.statistics.gov.uk/datasets/75edec484c5d49bcadd4893c0ebca0ff_0
% xy   = readmatrix('NHS_Postcode.csv','range',[2 1  2643867 2]);
% pc   = readmatrix('NHS_Postcode.csv','range',[2 5  2643867 5], 'OutputType','char');
% cc   = readmatrix('NHS_Postcode.csv','range',[2 12 2643867 12],'OutputType','char');
% G.X  = xy(:,1);
% G.Y  = xy(:,2);
% G.PC = pc;
% G.LT = cc;

% LTLA   = readmatrix('Population_LTLACD.xlsx','range',[6 1  35097 1], 'OutputType','char');
% Pop    = readmatrix('Population_LTLACD.xlsx','range',[6 4  35097 4], 'OutputType','char');

% NHS provider code to post code
%--------------------------------------------------------------------------
% E    = importdata('etr.xlsx');
% E    = E.textdata(:,[1,10]);

% save('COVID_CODES','G','E')
% load codes
%--------------------------------------------------------------------------
load COVID_CODES

% retrieve recent data from https://coronavirus.data.gov.uk
%--------------------------------------------------------------------------
url  = 'https://coronavirus.data.gov.uk/downloads/csv/';
websave('coronavirus-cases_latest.csv',[url,'coronavirus-cases_latest.csv']);

% retrieve recent data from https://www.england.nhs.uk
%--------------------------------------------------------------------------
URL  = 'https://www.england.nhs.uk/statistics/wp-content/uploads/sites/2/2020/07/';
URL  = 'https://www.england.nhs.uk/statistics/wp-content/uploads/sites/2/2020/08/';
URL  = 'https://www.england.nhs.uk/statistics/wp-content/uploads/sites/2/';
URL  = [URL datestr(date,'yyyy/mm') '/'];
for i = 0:4
    try
        dstr = datestr(datenum(date) - i,'dd-mmmm-yyyy');
        if strcmp(dstr(1),'0'),dstr = dstr(2:end