Version 1
: Received: 10 April 2020 / Approved: 12 April 2020 / Online: 12 April 2020 (14:21:13 CEST)
Version 2
: Received: 22 May 2020 / Approved: 23 May 2020 / Online: 23 May 2020 (10:47:33 CEST)
How to cite:
Shahidul Islam, M.; Irana Ira, J.; Ariful Kabir, K.M.; Kamrujjaman, M. COVID-19 Epidemic Compartments Model and Bangladesh. Preprints2020, 2020040193. https://doi.org/10.20944/preprints202004.0193.v1
Shahidul Islam, M.; Irana Ira, J.; Ariful Kabir, K.M.; Kamrujjaman, M. COVID-19 Epidemic Compartments Model and Bangladesh. Preprints 2020, 2020040193. https://doi.org/10.20944/preprints202004.0193.v1
Shahidul Islam, M.; Irana Ira, J.; Ariful Kabir, K.M.; Kamrujjaman, M. COVID-19 Epidemic Compartments Model and Bangladesh. Preprints2020, 2020040193. https://doi.org/10.20944/preprints202004.0193.v1
APA Style
Shahidul Islam, M., Irana Ira, J., Ariful Kabir, K.M., & Kamrujjaman, M. (2020). COVID-19 Epidemic Compartments Model and Bangladesh. Preprints. https://doi.org/10.20944/preprints202004.0193.v1
Chicago/Turabian Style
Shahidul Islam, M., K. M. Ariful Kabir and Md. Kamrujjaman. 2020 "COVID-19 Epidemic Compartments Model and Bangladesh" Preprints. https://doi.org/10.20944/preprints202004.0193.v1
Abstract
In the promptness of the COVID-19 outbreak, it would be very important to observe and estimate the pattern of diseases to reduce the contagious infection. To study this effect, we developed a COVID-19 epidemic model that incorporates five various groups of individuals. Then we analyze the model by evaluating the equilibrium points and analyzing their stability as well as determining the basic reproduction number. Also, numerical simulations show the dynamics of a different group of the population over time. Thus, our findings based on the sensitivity analysis and the reproduction number highlight the role of outbreak of the virus that can be useful to avoid a massive collapse in Bangladesh and rest of the world. The outcome of this study concludes that outbreak will be in control which ensure the social and economic stability.
Keywords
coronavirus; epidemic model; global pandemic; COVID-19; SEII$_s$R model; sensitivity analysis
Subject
Medicine and Pharmacology, Epidemiology and Infectious Diseases
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
