Research Article

Random Network Transmission and Countermeasures in Containing Global Spread of COVID-19-Alike Pandemic: A Hybrid Modelling Approach

Pseudocode 1

The pseudocode of the state transformation of TS-SEIR model.
  Parameters settings:
  q1 ⟵ 0.9; q2 ⟵ 0.99;
normalContactTimes ⟵ 6;
gatheringContactTimes ⟵ 80;
  initialInfectNum ⟵ 100;
  medicalLevel ⟵ 0.0413;
  
  //Initialize the adjacency matrix according to the value of normalContactTimes and gatheringContactTimes
  //Initialize the number of cell with states E and I according to the value of initialInfectNum
  for t ⟵ 1 to simulatedTimeStep
   do for i ⟵ 1 to populationNum
     if state(t, i) = S && anyNeighborOfCell(i) = E or I && infectRate ≥ rand
    then state(t + 1, i) ⟵ E;
    if state(t, i) = E && probTurnToInfected ≥ rand && q2 ≥ rand then state(t + 1, i) ⟵ H;
    if state(t, i) = E && probTurnToInfected ≥ rand %% q2 < r and then state(t + 1, i) ⟵ I;
   if state(t, i) = S or E && anyNeighborOfCell(i) = I or H && daysAfterContact(i, indexOfThisNeighbor) < 14 && q1 > rand then state(t + 1, i) ⟵ Eq;
    if state(t, i) = I && anyNeighborOfCell(i) = H then state(t + 1, i)⟵H;
    if state(t, i) = I && 1/(1 + exp((10 − timeLongInfected(i))/2)) < rand && q2 > rand
    then state(t + 1, i) ⟵ H;
    if state(t, i) = E && probTurnToInfected < rand && probESelfHealing ≥ rand
       then state(t + 1, i) ⟵ R;
   if state(t, i) = I && 1/(1 + exp((10 − timeLongInfected(i))/2))> = rand
    && 1 − medicalLevel < rand then state(t + 1, i) ⟵ R;
  if state(t, i) = I && 1/(1 + exp((10 − timeLongInfected(i))/2)) ≥ rand
    && 1 − medicalLevel ≥ rand then state(t+1, i) ⟵ D;
  if state(t, i) = Eq && probTurnToInfected ≥ rand then state(t + 1, i) ⟵ H;
  if state(t, i) = Eq && probTurnToInfected < rand && probEqSelfHealing ≥ rand
    then state(t + 1, i) ⟵ R;
    if state(t, i) = H && 1/(1 + exp((10 − timeLongInfected(i))/2)) ≥ rand.
    && 1 − medicalLevel < rand then state(t + 1, i) ⟵ R.
    if state(t, i) = H && 1/(1 + exp((10 − timeLongInfected(i))/2)) ≥ rand
    && 1 − medicalLevel ≥ rand then state(t + 1, i) ⟵ D
   //update daysAfterContact matrix and adjacency matrix