Version 1
: Received: 14 July 2020 / Approved: 15 July 2020 / Online: 15 July 2020 (09:07:41 CEST)
How to cite:
Ismail, L. A Stochastic Model Depending on the Infection Rate :COVID19 Case in Djibouti. Preprints2020, 2020070324. https://doi.org/10.20944/preprints202007.0324.v1
Ismail, L. A Stochastic Model Depending on the Infection Rate :COVID19 Case in Djibouti. Preprints 2020, 2020070324. https://doi.org/10.20944/preprints202007.0324.v1
Ismail, L. A Stochastic Model Depending on the Infection Rate :COVID19 Case in Djibouti. Preprints2020, 2020070324. https://doi.org/10.20944/preprints202007.0324.v1
APA Style
Ismail, L. (2020). A Stochastic Model Depending on the Infection Rate :COVID19 Case in Djibouti. Preprints. https://doi.org/10.20944/preprints202007.0324.v1
Chicago/Turabian Style
Ismail, L. 2020 "A Stochastic Model Depending on the Infection Rate :COVID19 Case in Djibouti" Preprints. https://doi.org/10.20944/preprints202007.0324.v1
Abstract
The novel Coronavirus (COVID-19) is spreading and has caused a large-scale infection in China since December 2019. Thefi rst infected person was declared on March 18, 2020 in Djibouti. This has led to a signi cant impact on the lives and economy in Djibouti and other countries. In this study, we propose a double compartment stochastic model which describes the evolution of the infection rate and the evolution of the number of infected in the period from May 20 to June 23, 2020. We will also propose the evolution of people infected in two states, recovered and deceased.
Keywords
Stochastic model epidemic; COVID-19; Simulation
Subject
Medicine and Pharmacology, Epidemiology and Infectious Diseases
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
