Figures index

From

Queueing Based Compartmental Models for Ebola Virus Disease Analysis

Ikeme John Dike, Chinyere Ogochukwu Dike

American Journal of Applied Mathematics and Statistics. 2018, 6(3), 96-106 doi:10.12691/ajams-6-3-2
  • Figure 1. A Schematic of the Transitions between Different States of EVD for SEIR Model
  • Figure 2. A Schematic of the Transitions between Different States of EVD for SEILICDR Model
  • Figure 3. Progression of Infection for the Transmission/Control Model of Eqs. 9–13
  • Figure 4. EVD affected districts in Guinea (https://www.google.com) [23]
  • Figure 5. SEILICDR model fit result for 2014 Ebola epidemic data for Guinea
  • Figure 6. EVD affected districts in Liberia https://www.google.com [23]
  • Figure 7. SEILICDR model fit result for 2014 Ebola epidemic data for Liberia
  • Figure 8. EVD affected districts in Sierra Leone https://www.google.com [23]
  • Figure 9. SEILICDR model fit result for 2014 Ebola epidemic data for Sierra Leone
  • Figure 10. Trend of EVD Epidemic in SEILICDR Compartments for (a) Guinea (b) Liberia (c) Sierra Leone
  • Figure 11. Normal Distribution Curve in Guinea for (a) Number of Exposed, (b) Number of Likely Infected, (c) Number of Confirmed Infected and (d) Number of Death/Recovery
  • Figure 12. Normal Distribution Curve in Liberia for (a) Number of Exposed, (b) Number of Likely Infected, (c) Number of Confirmed Infected and (d) Number of Death/Recovery
  • Figure 13. Normal Distribution Curve in Sierra Leone for (a) Number of Exposed, (b) Number of Likely Infected, (c) Number of Confirmed Infected and (d) Number of Death/Recovery