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Mers Model of Thai and South Korean Population

Mers Model of Thai and South Korean Population

Original Research ArticleMar 30, 2018Vol. 18 No. 1 (2018)

Abstract

Coronavirus (MERS-Cov) caused the occurrence of Corona. First infected case was reported in 2012 during a poultry outbreak in Saudi Arabia. After that, there were the reports of the sporadic outbreaks in all regions. In this study, we considered the transmission cycle between two population groups: Thai and South Korea. Each population group was divided into susceptible, exposed, infected, quarantine and recovered groups. The behaviors of the solutions were obtained using a standard dynamical modeling method. The stability conditions for the disease free equilibrium state and disease endemic equilibrium states were determined. The basic reproductive number R0 is obtained. When R0<1, the disease-free state was locally asymptotically stable. If R0>1, the endemic equilibrium state was locally asymptotically stable. The numerical solutions were shown for supporting the theoretical results. We found that when we decreased (the rate of susceptible Thai human changes to become an exposed Thai human and (the rate at which South Korean population moved out the country), the number of coronavirus case was decreased and outburst of coronavirus epidemic was shorter.

Keywords: Basic reproductive number, mathematical models, MERS, stability, standard
dynamical modeling theorem

*Corresponding author: E-mail: kppuntan@kmitl.ac.th

How to Cite

Lamwong, J. ., Tang, I. ., & Pongsumpun*, P. . (2018). Mers Model of Thai and South Korean Population. CURRENT APPLIED SCIENCE AND TECHNOLOGY, 45-57.

References

  • Ministry of Public Health, 2016. Guidance for Self-Isolation and Quarantine Incase of Middle East Respiratory Syndrome MERS, Available through: Bureau of Emerging Infectious disease. [online] Available at: https://www.beid.ddc.moph.go.th
  • Poletto, C., 2015. Quantifying spatiotemporal heterogeneity of MERS-CoV transmission in the Middle East region: A combined modelling approach, Model Epidem., 204, 1-9.
  • Chowell, G., Blumberg, S., Simonsen, LK., Miller, A.M. and Viboud, C., 2014. Synthesizing data and models for the spread of MERS-CoV: Key role of index cases and hospital transmission, Epidemics, 9, 40-51.
  • World Health Organization, 2015. Middle East respiratory syndrome coronavirus (MERS- Cov) Republic of Korean. [Online].Available at: https://www.who.int/csr/ don/12-june-2015-mers-korea/en/
  • World Health Organization, 2016. Thailand confirms MERS-CoV in traveler, WHO cautions against continued risk of importation. [online] Available at: https:// www. searo.who.int/ mediacentre/releases/2016/1618/en/.

Author Information

Jiraporn Lamwong

Department of General basis, Thatphanom College, Nakhon Phanom University, Nakhon Phanom, Thailand

I-Ming Tang

Computational and Applied Science for Smart Innovation Cluster (CLASSIC), Faculty of Science, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand

Puntani Pongsumpun*

Department of Mathematics, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

About this Article

Journal

Vol. 18 No. 1 (2018)

Type of Manuscript

Original Research Article

Keywords

Basic reproductive number, mathematical models, MERS, stability, standard dynamical modeling theorem

Published

30 March 2018