Skip to main content

Mathematical Modelling and Optimization of Lung Cancer in Smokers and Non Smokers

  • Conference paper
  • First Online:
  • 460 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 844))

Abstract

Cancer epidemiology is the division of epidemiology apprehensive with the disease cancer. It makes use of epidemiological methods to discover the reason for cancer and to recognize and discover advanced treatments. In this paper, we construct and analyze a discrete time mathematical model on lung cancer involving smokers and non smokers. We derive the two equilibrium points namely smoke free and smoke induced equilibrium and analyze the conditions in which the equilibrium points are stable or unstable. We also find the optimality conditions using Pontryagin’s Principle. Finally, we prove our theoretical results using numerical simulations through MATLAB.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

References

  1. Verma, V., Agarwal, M.: Global dynamics of a mathematical model on smoking with media campaigns. Res. Desk. 4(1), 500–512 (2015)

    Google Scholar 

  2. Acevedo-Estefania, C.A., et.al.: A Mathematical model for Lung Cancer: The effects of Second Hand smoke and Education. https://www.researchgate.net/publication/221711448

  3. Andest, J.N.: A mathematical model on cigarette smoking and nicotine in the lung. Int. Refereed J. Eng. Sci. 2, 1–3 (2013)

    Google Scholar 

  4. Lestari, D., Ambarwati, R.D.: A local stability of mathematical models for cancer treatment by using gene therapy. Int. J. Model. Optim. 5(3), 202–206 (2015)

    Article  Google Scholar 

  5. Agarwal, R.P.: Difference Equations and Inequalities. Marcel Dekker, New York (2000)

    MATH  Google Scholar 

  6. Enatsu, Y., Nakata, Y., Muroya, Y.: Global stability for a discrete SIS epidemic model with immigration of infectives. J. Differ. Equ. Appl. 18, 1913–1924 (2012)

    Article  MathSciNet  Google Scholar 

  7. Jang, S., Elaydi, S.: Difference equations from discretization of a continuous epidemic model with immigration of infectives. Can. Appl. Math. Q. 11(1), 93–105 (2003)

    MathSciNet  MATH  Google Scholar 

  8. Tipsri, S., Chinviriyasit, W.: Stability analysis of SEIR model with saturated incidence and time delay. Int. J. Appl. Phys. Math. 4, (2014)

    Google Scholar 

  9. Sebastian, E., Victor, P.: Optimal control strategy of a discrete time SVIR Epidemic model with immigration of infectives. Int. J. Pure Appl. Math. 113(8), 55–63 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elizabeth Sebastian .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sebastian, E., Victor, P. (2018). Mathematical Modelling and Optimization of Lung Cancer in Smokers and Non Smokers. In: Ganapathi, G., Subramaniam, A., Graña, M., Balusamy, S., Natarajan, R., Ramanathan, P. (eds) Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intelligent Systems and Automation. ICC3 2017. Communications in Computer and Information Science, vol 844. Springer, Singapore. https://doi.org/10.1007/978-981-13-0716-4_17

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-0716-4_17

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0715-7

  • Online ISBN: 978-981-13-0716-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics