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Research Article
Forecasting the Stability of COVID-19 on Indian Dataset with Prophet Logistic Growth Model
Sunil Gupta
University of Petroleum and Energy Studies
Corresponding Author
ORCiD: https://orcid.org/0000-0003-3862-1980
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Recently COVID-2019, a highly infectious disease has been declared as Pandemic by WHO, and since then the researchers all over the world are making attempts to predict the likely progression of this pandemic using various mathematical models. In this paper, we are using logistic growth model to find out the stability of this pandemic and Prophet Model to forecast the total number of confirmed cases that would be caused by COVID-19 in India.
Keywords
COVID-19 Pandemic, Prophet Model, Prediction, Logistic curve.
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This is a preprint. It has not completed peer review.
Research Article
Forecasting the Stability of COVID-19 on Indian Dataset with Prophet Logistic Growth Model
Sunil Gupta
University of Petroleum and Energy Studies
Corresponding Author
ORCiD: https://orcid.org/0000-0003-3862-1980
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 02 Jun, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Infectious Diseases
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Recently COVID-2019, a highly infectious disease has been declared as Pandemic by WHO, and since then the researchers all over the world are making attempts to predict the likely progression of this pandemic using various mathematical models. In this paper, we are using logistic growth model to find out the stability of this pandemic and Prophet Model to forecast the total number of confirmed cases that would be caused by COVID-19 in India.
Figure 1
Figure 2