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Biostatistics & Epidemiology Volume 6, 2022 - Issue 1
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Research Article

Reproduction number, discrete forecasting model, and chaos analytics for Coronavirus Disease 2019 outbreak in India, Bangladesh, and Myanmar

Rapin Sunthornwata Industrial Technology Program, Faculty of Science and Technology, Pathumwan Institute of Technology, Bangkok, ThailandORCID Iconhttps://orcid.org/0000-0001-8981-5107View further author information
ORCID Icon &
Yupaporn Areepongb Department of Applied Statistics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok, ThailandCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5103-9867View further author information
ORCID Icon
Pages 31-47 | Received 24 Oct 2020, Accepted 09 Jul 2021, Published online: 10 Aug 2021

References

  • Al-Raeei M. The basic reproduction number of the new coronavirus pandemic with mortality for India, the Syrian Arab Republic, the United States, Yemen, China, France, Nigeria and Russia with different rate of cases. Clin Epidemiol Global Health. 2020. https://doi.org/https://doi.org/10.1016/j.cegh.2020.08.005
  • Rahman B, Sadraddin E, Porreca A. The basic reproduction number of SARS-CoV-2 in Wuhan is about to die out, how about the rest of the world? Rev Med Virol. 2020;30(4):e2111.
  • Li Y, Wang L, Peng Z, et al. Basic reproduction number and predicted trends of coronavirus disease 2019 epidemic in the mainland of China. Infect Dis Poverty. 2020;9(94):1–13.
  • Linka K, Peirlinck M, Kuhl E. The reproduction number of COVID-19 and its correlation with public health interventions. medRxiv. 2020. https://doi.org/https://doi.org/10.1101/2020.05.01.20088047.
  • Yap FF, Yong M. Implementation of An online COVID-19 epidemic calculator for tracking the spread of the Coronavirus in Singapore and other countries. medRxiv. 2020. http://medrxiv.org/content/early/2020/06/04/2020.06.02.20120188.abstract.
  • Sujath R, Chatterjee JM, Hassanien AE. A machine learning forecasting model for COVID-19 pandemic in India. Stoch Environ Res Risk Assess. 2020;34:959–972.
  • Liu D, Clemente L, Poirier C, et al. Real-Time forecasting of the COVID-19 outbreak in Chinese provinces: machine learning approach using novel digital data and estimates from mechanistic models. J Med Internet Res. 2020;22(8):e20285.
  • Alzahrani SI, Aljamaan IA, Al-Fakih EA. Forecasting the spread of the COVID-19 pandemic in Saudi Arabia using ARIMA prediction model under current public health interventions. J Infect Public Health. 2020;13(7):914–919.
  • Singh S, Sundram B, Rajendran K, et al. Coronavirus pandemic forecasting daily confirmed COVID-19 cases in Malaysia using ARIMA models. J Infect Dev Countries. 2020;14:971–976.
  • Yonar H, Yonar A, Tekindal M, et al. Modeling and forecasting for the number of cases of the COVID-19 pandemic with the curve estimation models, the Box-Jenkins and exponential smoothing methods. EJMO. 2020;4(2):160–165.
  • Martinez E, Aragon D, Nunes A. Short-term forecasting of daily COVID-19 cases in Brazil by using the Holt’s model. Rev Soc Bras Med Trop. 2020;53:e20200283.
  • Rak R, Rak E. Route to chaos in generalized logistic map. Acta Phys Pol A. 2015;127:113–117.
  • Hua Z, Zhou Y. One-Dimensional nonlinear model for producing chaos. IEEE Trans Circuits Syst I: Reg Pap. 2018;65(1):235–246.
  • Toker D, Sommer F, D’Esposito M. A simple method for detecting chaos in nature. Commun Biol. 2020;3(11):1–13.
  • Worldometer; [cited 2020 May 26]. Available from: https://www.worldometers.info/coronavirus/country.
  • Kermack WO, McKendrick AG. A contribution to the mathematical theory of epidemics. Proc R Soc London Ser A. 1927;115(772):700–721.
  • Kharab A, Guenther B. An Introduction to numerical methods A MATLAB approach. 3rd ed. New York: CRC Press; 2012.
  • May RM. Models for single populations. In: May RM, editor. Theoretical ecology: principles and applications. Oxford (UK): Blackwell; 1976. p. 4–26.
  • Brandt A. Noise and vibration analysis: signal analysis and experimental procedures. Hoboken (NJ): Wiley; 2011.
  • Malavika B, Marimuthu S, Joy M, et al. Forecasting COVID-19 epidemic in India and high incidence states using SIR and logistic growth models. Clin Epidemiol Global Health. 2021;9(2021):26–33.
  • Al-Raeei M. The forecasting of COVID-19 with mortality using SIRD epidemic model for the United States, Russia, China, and the Syrian Arab Republic. AIP Adv. 2020;10(065325):1–5.

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