Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Predicting Active, Death and Recovery Rates of COVID-19 in Algeria Using Facebook’ Prophet Model

Version 1 : Received: 26 February 2021 / Approved: 1 March 2021 / Online: 1 March 2021 (13:46:57 CET)

How to cite: LOUNIS, M. Predicting Active, Death and Recovery Rates of COVID-19 in Algeria Using Facebook’ Prophet Model. Preprints 2021, 2021030019 (doi: 10.20944/preprints202103.0019.v1). LOUNIS, M. Predicting Active, Death and Recovery Rates of COVID-19 in Algeria Using Facebook’ Prophet Model. Preprints 2021, 2021030019 (doi: 10.20944/preprints202103.0019.v1).

Abstract

The coronavirus disease pandemic 2019 (COVID-19) has emerged in Wuhan province, China in December 2019 and has spread over all countries. The current study was carried out to predict active, death and cured rate of COVID 19 in Algeria for a future period of 35 days using FB prophet model. Results shoed that the active rate and the death rate decrease for the next days while the cured rate increase. The active, cured and death rates are estimated at 19.7% 78.85% and 2.55% respectively. These results highlight the importance of FB prophet model in COVID-19 prediction which could help national authorities in adopting the best preventive measures.

Keywords

COVID-19; Algeria; FB Prophet model; Active rate; death rate; cured rate.

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.