Forecasting of COVID-19 Pandemic Using ARIMA and Fb-Prophet Models: UK Case Study

Victor Chang; Oghara Efetobore Akpomedaye; Vitor Jesus; Qianwen Ariel Xu; Karl Hall; Meghana Ashok Ganatra

doi:10.5220/0011990300003485

Forecasting of COVID-19 Pandemic Using ARIMA and Fb-Prophet Models: UK Case Study

Victor Chang, Oghara Efetobore Akpomedaye, Vitor Jesus, Qianwen Ariel Xu, Karl Hall, Meghana Ashok Ganatra

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023
Editors	Ema Kusen, Victor Chang
Publisher	Science and Technology Publications, Lda
Pages	85-93
Number of pages	9
ISBN (Electronic)	9789897586446
DOIs	https://doi.org/10.5220/0011990300003485
Publication status	Published (VoR) - 2023
Event	8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023 - Prague, Czech Republic Duration: 22 Apr 2023 → 23 Apr 2023

Publication series

Name	International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS - Proceedings
Volume	2023-April
ISSN (Electronic)	2184-5034

Conference

Conference	8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023
Country/Territory	Czech Republic
City	Prague
Period	22/04/23 → 23/04/23

Keywords

ARIMA
COVID-19 Prediction
Health Analytics
PROPHET

Access to Document

10.5220/0011990300003485

Cite this

Chang, V., Akpomedaye, O. E., Jesus, V., Xu, Q. A., Hall, K., & Ganatra, M. A. (2023). Forecasting of COVID-19 Pandemic Using ARIMA and Fb-Prophet Models: UK Case Study. In E. Kusen, & V. Chang (Eds.), Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023 (pp. 85-93). (International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS - Proceedings; Vol. 2023-April). Science and Technology Publications, Lda. https://doi.org/10.5220/0011990300003485

Chang, Victor ; Akpomedaye, Oghara Efetobore ; Jesus, Vitor et al. / Forecasting of COVID-19 Pandemic Using ARIMA and Fb-Prophet Models : UK Case Study. Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023. editor / Ema Kusen ; Victor Chang. Science and Technology Publications, Lda, 2023. pp. 85-93 (International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS - Proceedings).

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title = "Forecasting of COVID-19 Pandemic Using ARIMA and Fb-Prophet Models: UK Case Study",

keywords = "ARIMA, COVID-19 Prediction, Health Analytics, PROPHET",

author = "Victor Chang and Akpomedaye, {Oghara Efetobore} and Vitor Jesus and Xu, {Qianwen Ariel} and Karl Hall and Ganatra, {Meghana Ashok}",

note = "Publisher Copyright: Copyright {\textcopyright} 2023 by SCITEPRESS - Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0); 8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023 ; Conference date: 22-04-2023 Through 23-04-2023",

year = "2023",

doi = "10.5220/0011990300003485",

language = "English",

series = "International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS - Proceedings",

publisher = "Science and Technology Publications, Lda",

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booktitle = "Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023",

}

Chang, V, Akpomedaye, OE, Jesus, V, Xu, QA, Hall, K & Ganatra, MA 2023, Forecasting of COVID-19 Pandemic Using ARIMA and Fb-Prophet Models: UK Case Study. in E Kusen & V Chang (eds), Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023. International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS - Proceedings, vol. 2023-April, Science and Technology Publications, Lda, pp. 85-93, 8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023, Prague, Czech Republic, 22/04/23. https://doi.org/10.5220/0011990300003485

Forecasting of COVID-19 Pandemic Using ARIMA and Fb-Prophet Models: UK Case Study. / Chang, Victor; Akpomedaye, Oghara Efetobore; Jesus, Vitor et al.
Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023. ed. / Ema Kusen; Victor Chang. Science and Technology Publications, Lda, 2023. p. 85-93 (International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS - Proceedings; Vol. 2023-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hall, Karl

AU - Ganatra, Meghana Ashok

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KW - COVID-19 Prediction

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KW - PROPHET

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M3 - Conference contribution

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T3 - International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS - Proceedings

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BT - Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023

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Chang V, Akpomedaye OE, Jesus V, Xu QA, Hall K, Ganatra MA. Forecasting of COVID-19 Pandemic Using ARIMA and Fb-Prophet Models: UK Case Study. In Kusen E, Chang V, editors, Proceedings of the 8th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2023. Science and Technology Publications, Lda. 2023. p. 85-93. (International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS - Proceedings). doi: 10.5220/0011990300003485

Forecasting of COVID-19 Pandemic Using ARIMA and Fb-Prophet Models: UK Case Study

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