Skip Navigation Links
Discontinuity, Nonlinearity, and Complexity

Dimitry Volchenkov (editor), Dumitru Baleanu (editor)

Dimitry Volchenkov(editor)

Mathematics & Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, TX 79409, USA

Email: dr.volchenkov@gmail.com

Dumitru Baleanu (editor)

Cankaya University, Ankara, Turkey; Institute of Space Sciences, Magurele-Bucharest, Romania

Email: dumitru.baleanu@gmail.com


Modeling and Analysis of the Impact of Media Based Awareness Efforts on Asthma Development in a Polluted Environment

Discontinuity, Nonlinearity, and Complexity 15(1) (2026) 1--13 | DOI:10.5890/DNC.2026.03.001

Vinay Verma$^{1}$\corrauth{vinayverma.maths@srmu.ac.in, sandhyav2@srmist.edu.in, rachanapathak2@gmail.com, aryansmaths.lko@gmail.com}, Sandhya Rani Verma$^{2}$, Rachana Pathak$^{3}$, Vimlesh$^{1}$

$^{1}$ Faculty of Mathematical and Statistical Sciences, Institute of Natural Sciences and Humanities, Shri Ramswaroop Memorial University, Lucknow-Deva Road, Barabanki-225003, Uttar Pradesh, India

$^{2}$ Department of Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus Ghaziabad -201204, Uttar Pradesh, India

$^{3}$ Department of Applied Science and Humanities, Faculty of Engineering and Technology, University of Lucknow, Lucknow-226031, Uttar Pradesh, India

Download Full Text PDF

 

Abstract

There have sometimes been reports of an influence of behavioral reactions and awareness campaigns on epidemic breakouts. From a public health perspective, knowledge and behavioral changes are crucial, but it is unclear how much they affect the course of the pandemic. Using a mathematical model, we explore the impact of media awareness efforts on the onset of asthma in a population that is genetically susceptible to pollution. Assessments are made of the system's durability and the prerequisites for the existence of the unique positive stable state. Lyapunov's function analysis identifies the unique positive steady state as being both locally and globally asymptotically stable. Campaigns to raise awareness can help prevent the expansion of the asthma pandemic, but immigration maintains the condition endemic, according to the model research. The model is also numerically analyzed to confirm the analytical results and ascertain how many important parameters affect the asthma outbreak.

Acknowledgments

\bibitem{1} National Heart, Lung and Blood Institute (2018), Asthma, https://www.nhlbi.nih.gov/health-topics/asthma.

References

  1. [1]  National Heart, Lung and Blood Institute (2018), Asthma, https://www.nhlbi.nih.gov/health-topics/asthma.
  2. [2]  Eder, W., Ege, M.J., and von Mutius, E. (2006), The asthma epidemic, New England Journal of Medicine, 355(21), 2226–2235.
  3. [3]  Yeatts, K., Sly, P., Shore, S., Weiss, S., Martinez, F., Geller, A., Bromberg, P., Enright, P., Koren, H., Weissman, D., and Selgrade, M. (2006), A brief targeted review of susceptibility factors, environmental exposures, asthma incidence, and recommendations for future asthma, Environmental Health Perspectives, 114(4), 634–640.
  4. [4]  Coelho, A.C.C., Cardoso, L.S.B., Souza-Machado, C. de, and Souza Machado, A. (2016), The impacts of educational asthma interventions in schools: A systematic review of the literature, Canadian Respiratory Journal, 2016, 8476206.
  5. [5]  Kirenga, B.J. (2020), Knowledge, attitudes and practices (KAP) towards asthma in Africa, https://panafricanthoracic.org/images/pdf/Webinars/Symposium\_session\_2\_August.pdf.
  6. [6]  Sommanus, S., Sitcharungsi, R., and Lawpoolsri, S. (2022), Effects of an asthma education camp program on quality of life and asthma control among Thai children with asthma: A quasi-experimental study, Healthcare, 10, 1561.
  7. [7]  CDC National Center for Environmental Health (2017), Strategies for addressing asthma in schools.
  8. [8]  Agarwal, M. and Devi, S. (2010), The effect of environmental tax on the survival of biological species in a polluted environment: A mathematical model, Nonlinear Analysis: Modelling and Control, 15(3), 271–286.
  9. [9]  Freedman, H.I. and Shukla, J.B. (2020), Models for the effects of toxicant in single-species and predator–prey systems, Journal of Mathematical Biology, 30(1), 15–30.
  10. [10]  Hallam, T.G., Clark, C.E., and Lassiter, R.R. (1983), Effects of toxicants on populations: A qualitative approach I. Equilibrium environmental exposure, Ecological Modelling, 18, 291–304.
  11. [11]  Lata, K., Misra, A.K., and Shukla, J.B. (2018), Modeling the effect of deforestation caused by human population pressure on wildlife species, Nonlinear Analysis: Modelling and Control, 23(3), 303–320.
  12. [12]  Shukla, J.B., Agarwal, A.K., Sinha, P., and Dubey, B. (2003), Modeling effects of primary and secondary toxicants on renewable resources, Natural Resource Modelling, 16(1), 99–120.
  13. [13]  Verma, V. and Vimlesh (2023), The influence of media campaigns efforts to control population pressure and conserve forestry resources: A modeling study, International Journal of Applied and Computational Mathematics, 9(3), 1–13.
  14. [14]  Ghosh, M. (2000), Industrial pollution and asthma: A mathematical model, Journal of Biological Systems, 8(4), 347–371.
  15. [15]  Naresh, R. and Tripathi, A. (2009), A nonlinear mathematical model for asthma: Effect of environmental pollution, Iranian Journal of Optimization, 1, 24–56.
  16. [16]  Betty, K., Nabiyonga, K., John, M., Kitayimbwa, J.Y., and Mugisha (2023), Modelling asthma development in a population with genetic risk and polluted environment, Nonlinear Analysis: Modelling and Control, Online First, 1–18.
  17. [17]  Adeyemo, O.A., Adewale, S.O., Oladipo, A.T., and Omoloye, M.A. (2024), Analysis of mathematical model for asthma caused by the effects of environmental pollution, Science World Journal, 19(1), 34–49.
  18. [18]  Rosado Perez, M.N. and Rios Soto, K. (2023), On the spread of ultrafine particulate matter: A mathematical model for motor vehicle emissions and their effects as an asthma trigger, International Journal of Biomathematics, 15(1), 2150087.
  19. [19]  Annual Report NACO 2008-09, retrieved on 17/01/10, http://www.nacoonline.org.
  20. [20]  Bhadauria, A.S., Devi, S., and Gupta, N. (2021), Modelling and analysis of a SEIQR model on COVID-19 pandemic with delay, Modeling Earth Systems and Environment, https://doi.org/10.1007/s40808-021-01279-1.
  21. [21]  Verma, S.R., Verma, V., Pathak, R., Agarwal, M., and Naresh, R. (2024), Influence of media campaigns efforts to control spread of COVID-19 pandemic with vaccination: A modeling study, Computational and Mathematical Biophysics, 12, 20230107.
  22. [22]  Verma, V. and Bhadauria, A.S. (2019), Global dynamics of a mathematical model on smoking: Impact of anti-smoking campaign, Journal of Mathematical Modeling, 7(1), 49–62.
  23. [23]  Agarwal, M. and Verma, V. (2012), The impact of media on the spreading and control of Japanese encephalitis, International Journal of Mathematical Sciences and Computation, 2(2), 23–31.
  24. [24]  Misra, A.K., Sharma, A., and Shukla, J.B. (2011), Modeling and analysis of effects of awareness programs by media on the spread of infectious diseases, Mathematical and Computer Modelling, 53, 1221–1228.
  25. [25]  Misra, A.K., Sharma, A., and Shukla, J.B. (2015), Stability analysis and optimal control of an epidemic model with awareness programs by media, BioSystems, 138, 53-62.