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A machine learning forecasting model for COVID-19 pandemic in India

Stochastic environmental research and risk assessment, 2020, Vol.34 (7), p.959-972 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-020-01827-8 ;PMID: 32837309

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Title:
A machine learning forecasting model for COVID-19 pandemic in India
Author: Sujath, R. ; Chatterjee, Jyotir Moy ; Hassanien, Aboul Ella
Subjects: Aquatic Pollution ; Chemistry and Earth Sciences ; Computational Intelligence ; Computer Science ; Coronaviruses ; Cough ; COVID-19 ; Earth and Environmental Science ; Earth Sciences ; Environment ; Epidemiology ; Fever ; Influenza ; Learning algorithms ; Machine learning ; Math. Appl. in Environmental Science ; Mathematical models ; Multilayer perceptrons ; Numerical models ; Original Paper ; Pandemics ; Physics ; Probability Theory and Stochastic Processes ; Statistics for Engineering ; Viral diseases ; Viruses ; Waste Water Technology ; Water Management ; Water Pollution Control
Is Part Of: Stochastic environmental research and risk assessment, 2020, Vol.34 (7), p.959-972
Description: Coronavirus disease (COVID-19) is an inflammation disease from a new virus. The disease causes respiratory ailment (like influenza) with manifestations, for example, cold, cough and fever, and in progressively serious cases, the problem in breathing. COVID-2019 has been perceived as a worldwide pandemic and a few examinations are being led utilizing different numerical models to anticipate the likely advancement of this pestilence. These numerical models dependent on different factors and investigations are dependent upon potential inclination. Here, we presented a model that could be useful to predict the spread of COVID-2019. We have performed linear regression, Multilayer perceptron and Vector autoregression method for desire on the COVID-19 Kaggle data to anticipate the epidemiological example of the ailment and pace of COVID-2019 cases in India. Anticipated the potential patterns of COVID-19 effects in India dependent on data gathered from Kaggle. With the common data about confirmed, death and recovered cases across India for over the time length helps in anticipating and estimating the not so distant future. For extra assessment or future perspective, case definition and data combination must be kept up persistently.
Publisher: Berlin/Heidelberg: Springer Berlin Heidelberg
Language: English
Identifier: ISSN: 1436-3240
EISSN: 1436-3259
DOI: 10.1007/s00477-020-01827-8
PMID: 32837309
Source: ProQuest Central

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A machine learning forecasting model for COVID-19 pandemic in India

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1436-3240 ;EISSN: 1436-3259 ;DOI: 10.1007/s00477-020-01827-8 ;PMID: 32837309

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