A Stochastic Model Depending on the Infection Rate :COVID19 Case in Djibouti

Liban Ismail

doi:10.20944/preprints202007.0324.v1

Preprint Brief Report Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 14 July 2020 / Approved: 15 July 2020 / Online: 15 July 2020 (09:07:41 CEST)

The novel Coronavirus (COVID-19) is spreading and has caused a large-scale infection in China since December 2019. Thefirst infected person was declared on March 18, 2020 in Djibouti. This has led to a signicant 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.

Stochastic model epidemic; COVID-19; Simulation

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A Stochastic Model Depending on the Infection Rate :COVID19 Case in Djibouti

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