Preprint Article Version 1 This version is not peer-reviewed

Predictive Analytics of COVID-19 Using Information, Communication and Technologies

Version 1 : Received: 15 April 2020 / Approved: 16 April 2020 / Online: 16 April 2020 (05:54:13 CEST)
Version 2 : Received: 13 May 2020 / Approved: 14 May 2020 / Online: 14 May 2020 (09:03:52 CEST)

How to cite: Mahalle, P.N.; Sable, N.P.; Mahalle, N.P.; Shinde, G.R. Predictive Analytics of COVID-19 Using Information, Communication and Technologies. Preprints 2020, 2020040257 (doi: 10.20944/preprints202004.0257.v1). Mahalle, P.N.; Sable, N.P.; Mahalle, N.P.; Shinde, G.R. Predictive Analytics of COVID-19 Using Information, Communication and Technologies. Preprints 2020, 2020040257 (doi: 10.20944/preprints202004.0257.v1).

Abstract

Globally, there is massive uptake and explosion of data and challenge is to address issues like scale, pace, velocity, variety, volume and complexity of the data. Considering the recent epidemic in China, modeling of COVID-19 epidemic for cumulative number of infected cases using data available in early phase was big challenge. Being COVID-19 pandemic during very short time span, it is very important to analyze the trend of these spread and infected cases. This predictive analytics can be empowered using Information, Communication and Technologies (ICT) services, tools and applications. This paper presents medical perspective of COVID-19 towards epidemiological triad and the study of state-of-the-art. The main aim this paper is to present different predictive analytics techniques available for trend analysis, different models and algorithms and their comparison. Finally, this paper concludes with prediction of COVID-19 using Prophet algorithm indicating more faster spread in short term. These predictions will be useful to government and healthcare communities to initiate appropriate measures to control this outbreak in time.

Subject Areas

COVID-19; predictive analytics; forecasting models; Machine Learning Method; prediction; epidemic; pandemic

Comments (2)

Comment 1
Received: 16 April 2020
Commenter: Umakan Laxman Tupe
The commenter has declared there is no conflict of interests.
Comment: Excellent paper on Covid-19.
+ Respond to this comment
Comment 2
Received: 16 April 2020
Commenter: Chandrakant Kokane
The commenter has declared there is no conflict of interests.
Comment: Respected Author's,
It is really a nice article on today's most important challenge of society i.e. COVID-19.This is nicely written article and will surely helpful for not only government agencies but also all of us.
+ Respond to this comment

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 2
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.