The SEIRD model for COVID-19 implemented in this Demonstration is the coupled system of ordinary differential equations:
= susceptible fraction of the population,
= exposed fraction of the population,
= infected fraction of the population,
= fraction of population that has recovered,
= fraction of population that has died of the infection,
= effectiveness of control (social distancing) measure,
= infection rate,
= average incubation time (days),
= average infective time (days),
= case fatality rate.
 Nigeria Centre for Disease Control.
 L. Peng, W. Yang, D. Zhang, C. Zhuge and L. Hong, "Epidemic Analysis of COVID-19 in China by Dynamical Modeling," medRxiv
, 2020. doi:10.1101/2020.02.16.20023465
 B. M. Ndiaye, L. Tendeng and D. F. Seck, "Analysis of the COVID-19 Pandemic by SIR Model and Machine Learning Technics for Forecasting." arxiv.org/abs/2004.01574v1