Parameter estimation and prediction for coronavirus disease outbreak 2019 (COVID-19) in Algeria

Soufiane Bentout; Abdennasser Chekroun; Toshikazu Kuniya; Soufiane Bentout; Abdennasser Chekroun; Toshikazu Kuniya

doi:10.3934/publichealth.2020026

AIMS Public Health

2020, Volume 7, Issue 2: 306-318. doi: 10.3934/publichealth.2020026

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Research article Special Issues

Parameter estimation and prediction for coronavirus disease outbreak 2019 (COVID-19) in Algeria

1.
Department of Mathematics and Informatics, University center of Ain Temouchent, Algeria
2.
Laboratoire d'Analyse Nonlinéaire et Mathématiques Appliquées, University of Tlemcen, Tlemcen 13000, Algeria
3.
Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe 657-8501, Japan

Received: 19 April 2020 Accepted: 18 May 2020 Published: 22 May 2020

- COVID-19,
- SEIR epidemic model,
- basic reproduction number
Citation: Soufiane Bentout, Abdennasser Chekroun, Toshikazu Kuniya. Parameter estimation and prediction for coronavirus disease outbreak 2019 (COVID-19) in Algeria[J]. AIMS Public Health, 2020, 7(2): 306-318. doi: 10.3934/publichealth.2020026

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Acknowledgments

The authors would like to thank the associate editor and the anonymous reviewer for their valuable comments and suggestions, which have led to a significant improvement of the whole manuscript. S. Bentout and A. Chekroun are supported by the DGRSDT, Algeria. T. Kuniya is supported by JSPS Grant-in-Aid for Early-Career Scientists (grant number 19K14594).

Conflict of interest

The authors declare no conflicts of interest.

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