A Big Impact of Social Network Analysis and Machine Learning Algorithms for Predicting Facts of Covid-19 Pandemic
Studies in Computational Intelligence
; 1007:85-97, 2022.
Article
in English
| Scopus | ID: covidwho-1767461
ABSTRACT
As we can see, covid-19 is becoming a global pandemic. At first, it was seen in India on 30 January, 2020. In such situation, there has been two important challenges before the government of India. The first is to fight the pandemic and second is to make awareness about it. Since analyses of social networks reveal technological advancement and show how World Health Organization’s post is beneficial for awareness and prevention from covid-19 as well as showing impact of algorithm and identifying ‘networkx’ technique. We are trying to show through this article, about the interaction of all public health organizations on Facebook portal and how it could be used by employing random forest machine learning algorithm on the datasets generated by these interactions. We collected data from World Health Organization’s dataset for predicting future forecast to know new cases in India by using Arima and Sarima model. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
/
Prognostic study
Language:
English
Journal:
Studies in Computational Intelligence
Year:
2022
Document Type:
Article
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