Abstract
In this article, we present a epidemiological model to analyze the impact of the emerging disease COVID-19. When an infectious disease like coronavirus suddenly emerges out of the blue, little is known about it. As time passes we get equipped with better information and knowledge. Some of the common tactics generally adopted to fight off the disease include awareness, isolation, lockdown, treatment and vaccination. Media also plays a pivotal role in spreading these information to general population. Here, we consider a changing population with immigration during an outbreak. We apply some of the above said measures to the population and study the effect of them in combating the disease. The effect of media is also examined. Both analytical and numerical simulations help us in establishing our findings.
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References
M. Mandal, S. Jana, S. K. Nandi, A. Khatua, S. Adak and T. K. Kar. A model based study on the dynamics of COVID-19: Prediction and control. Chaos, solitons, and fractals, 136, 109889 (2020) .
H. Lu, C. W. Stratton and Y. W. Tang. Outbreak of pneumonia of unknown etiology in Wuhan, China: the mystery and the miracle. Journal of medical virology, 92(4), 401–402 (2020).
N. V. Doremalen, T. Bushmaker, D. H. Morris, M. G. Holbrook, A. B. N. Williamson Gamble, A. B. N. et al. Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1. New England Journal of Medicine, 382, 1564–1567 (2020).
World Health Organization, Coronavirus disease 2019 (COVID-19). WHO situation report -73, 2020. Avaiable from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200402-sitrep-73-covid-19.pdf.
P. Bastani, and M. A. Bahrami. COVID-19 Related Misinformation on Social Media: A Qualitative Study from Iran. Journal of medical Internet research (2020).
Y. Zhao and J. Zhang. Consumer health information seeking in social media: a literature review. Health information and libraries journal, 34(4), 268–283 (2017).
A. Anwar, M. Malik, V. Raees and A. Anwar. Role of mass media and public health communications in the COVID-19 pandemic. Cureus, 12(9) (2020).
D. A. González-Padilla and L. Tortolero-Blanco. Social media influence in the COVID-19 pandemic. International braz j urol, 46, 120–124 (2020).
H. Al-Dmour, A. Salman, M. Abuhashesh and R. Al-Dmour. Influence of social media platforms on public health protection against the COVID-19 pandemic via the mediating effects of public health awareness and behavioral changes: integrated model. Journal of medical Internet research, 22(8), e19996 (2020).
S. Samanta, S. Rana, A. Sharma, A.K. Misra and J. Chattopadhyay. Effect of awareness programs by media on the epidemic outbreaks: A mathematical model. Applied Mathematics and Computation, 219(12), 6965–6977 (2013).
J. Cui, Y. Sun, and H. Zhu. The impact of media on the control of infectious diseases. Journal of dynamics and differential equations, 20(1), 31–53 (2008).
A. K. Srivastav, P. K. Tiwari, P. K. Srivastava, M. Ghosh and Y. Kang. A mathematical model for the impacts of face mask, hospitalization and quarantine on the dynamics of COVID-19 in India: deterministic vs. stochastic[J]. Mathematical Biosciences and Engineering, 18(1): 182–213 (2021).
L. Zuo and M. Liu. Effect of Awareness Programs on the Epidemic Outbreaks with Time Delay. Abstract and Applied Analysis, Hindawi Publishing Corporation, Volume 2014, Article ID 940841 (2014).
L. Zuo, M. Liu and J. Wang. The Impact of Awareness Programs with Recruitment and Delay on the Spread of an Epidemic, Mathematical Problems in Engineering, Hindawi Publishing Corporation, Volume 2015, Article ID 235935 (2015).
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Chatterjee, A., Ganguly, S. (2022). An Interdisciplinary Model-Based Study on Emerging Infectious Disease: The Curse of Twenty-First Century. In: Mondaini, R.P. (eds) Trends in Biomathematics: Stability and Oscillations in Environmental, Social, and Biological Models. BIOMAT 2021. Springer, Cham. https://doi.org/10.1007/978-3-031-12515-7_19
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DOI: https://doi.org/10.1007/978-3-031-12515-7_19
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