Skip to main content

An Interdisciplinary Model-Based Study on Emerging Infectious Disease: The Curse of Twenty-First Century

  • Chapter
  • First Online:
Trends in Biomathematics: Stability and Oscillations in Environmental, Social, and Biological Models (BIOMAT 2021)

Included in the following conference series:

  • 161 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. 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) .

    Article  MathSciNet  Google Scholar 

  2. 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).

    Article  Google Scholar 

  3. 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).

    Google Scholar 

  4. 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.

  5. P. Bastani, and M. A. Bahrami. COVID-19 Related Misinformation on Social Media: A Qualitative Study from Iran. Journal of medical Internet research (2020).

    Google Scholar 

  6. 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).

    Article  Google Scholar 

  7. 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).

    Google Scholar 

  8. D. A. González-Padilla and L. Tortolero-Blanco. Social media influence in the COVID-19 pandemic. International braz j urol, 46, 120–124 (2020).

    Article  Google Scholar 

  9. 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).

    Google Scholar 

  10. 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).

    Article  MathSciNet  MATH  Google Scholar 

  11. 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).

    Article  MathSciNet  MATH  Google Scholar 

  12. 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).

    Google Scholar 

  13. 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).

    Google Scholar 

  14. 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).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

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

Download citation

Publish with us

Policies and ethics