MATHEMATICAL MODELING OF CHOLERA TRANSMISSION IN EPIDEMIC AND ENDEMIC SETTINGS WITH CONTROL STRATEGIES
Abstract
One of the most serious health issues in the world today is cholera, particularly in poorer nations with poor access to clean water. We have examined the distribution of cholera in both endemic and epidemic settings in this article. We develop the mathematical model of the dynamics of cholera transmission known as SEIRH with controls. The time-dependent control mechanisms (vaccine, water purication, and sanitation) that govern the disease's transmission and management were incorporated into the model. It was possible to acquire the potential key measure R0, a threshold value used to forecast the prognosis of a disease. The stability of the endemic disease equilibrium point (EEP) and the cholera-free equilibrium point (DFEP) was examined. If R0 is less than 1, then DFEP is locally asymptotically stable (LAS), and EEP is globally asymptotically stable (GAS) when R0 is greater than 1. The impact of control measures on virus spread was investigated, and the optimal control value that minimizes the objective function was also investigated using Pontryagin's maximum principle. The model simulation shows that the methods used have a positive impact on public health by lowering morbidity and mortality. Cholera incidence can be considerably decreased by effective prevention and control measures, which will lower rates of morbidity and mortality.
References
[2] A. Ajayi and S. I. Smith. Recurrent cholera epidemics in Africa: which way forward? A literature review. Infection, vol. 47, no. 3, 2019, pp. 341349. https://doi.org/10.1007/s15010-018-1186-5
[3] M. Wolfe, M. Kaur, T. Yates, M. Woodin, and D. Lantagne. A Systematic Review and Meta-Analysis of the Association between Water, Sanitation, and Hygiene Exposures and Cholera in Case-Control Studies. The American journal of tropical medicine and hygiene, vol. 99, no. 2,2018, 534545. https://doi.org/10.4269/ajtmh.17-0897
[4] J. D. Logan. Applied Partial Dierential Equations. Switzerland: Springer (Third Edition) doi:10.1007/978-3-31912493-3. 2015
[5] P. V. Drisessche, and J. Watmough. Reproduction number and sub-threshold endemic equilibria for compartmental models of disease transmission. Mathematical Biosciences, 2002.
[6] S. Liao and J. Wang. Stability Analysis and Application of a Mathematical Cholera Model. Mathematical Biosciences and Engineering, 2011, pp.733752. doi:10.3934/mbe.2011.8.733
[7] C. T. Codeco. Endemic and epidemic dynamics of cholera: the role of the aquatic reservoir. BMC Journal of Infectious Diseases, vol. 1, no. 1, 2001. Doi:10.1186/1471-2334-1-1. PMID: 11208258; PMCID:PMC29087
[8] T.D. Keno, H.D. Etana. Control strategies for COVID-19 model. Journal of Mathematics. Hindawi, Article ID 2050684, Vol.2023,:20. http://dx.doi:10.1155/2023/2050684
[9] S. Olaniyi, O.D. Falowo, K.O. Okosun, M. Mukamuri, O.S. Obabiyi and O.A. Adepoju Effects of saturated treatment on malaria spread with optimal control intervention. Alexandria Engineering Journal vol. 65, 2023, pp.443-459. www.elsevier.com/locate/aej
[10] J.P. Lasalle. The stability of dynamical systems. Regional Conference Series in Applied Mathematics. Society for Industry and Applied Mathematics journal, vol. 25, 1976. http://dx.doi.org/10.1137/102107
[11] D. M. Hartley, J. G. Morris, and D. L. Smith. Hyperinfectivity: A critical element in the ability of v. cholera to cause epidemic?. Plos Medicine, vol. 3, no. 1, 2006, pp. 6369
[12] A. Falaye, E. E. Akarawak, A. T. Cole, O. Evans, D. Oluyori, E. Adeyemi, R. Falaye and N. Adama A mathematical model for capturing cholera spread and containment options. International Journal of Mathematical Sciences and Computing(IJMSC), vol. 4, no. 1, 2018, pp. 15-40. http://doi.org/10.5815/ijmsc.2018.01.02 .
[13] A. Mwasa and J.M. Tchuenche. Mathematical analysis of a cholera model with public health interventions. Biosystems, vol. 105, no. 3, 2011, pp.190200.
https://doi.org/10.1016/j.biosystems.2011.
[14] F. Capone, V. De Cataldis, and R. De Luca, . Erratum to :Infuence of diffusion on the stability of equilibria in a reaction-diffusion system modeling cholera dynamic. Journal of Mathematical Biology, vol. 71, no. 5, 2015, pp. 1267-1268. https://doi.org/10.1007/s00285-015-09915-y
[15] R.L. Miller Neilan, E. Schaefer, H. Ga, K. R. Fister and S. Lenhart Modeling optimal intervention strategies for cholera. Bulletin of Mathematical Biology. vol. 72, no. 8, 2010, pp. 20042018. https://doi.org/10.1007/s11538-0109521-8
[16] R. P. Sanches, C.P. Ferreira and R. A. Kraenkel The role of immunity and seasonality in cholera epidemics. Bulletin of Mathematical Biology, vol. 73 n0. 12, 2011, pp. 29162931. https://doi.org/10.1007/s11538-011-9652-6
[17] E. Stephen and N. Nkuba A Mathematical Model for the Dynamics of Cholera with Control Measures. Applied and Computational Mathematics. 2015, pp.53-63. Doi:10.11648/j.acm.20150402.14
[18] D. M. Hartley, J. G. Morris and D. L. Smith. Hyper infectivity: A critical element in the ability of v. cholera to cause epidemic? Plos Medicine. vol. 3, no. 1, 2006, pp. 6369.
[19] H. Schattler, U. Ledzewicz, and H. Maurer. Sucient conditions for strong local optimality in optimal control problems with L2-type objectives and control constraints. Discrete Contin. Dyn. Syst. Ser. B v0l. 19, n0. 8, 2014, pp. 26572679. Doi:10.3934/dcdsb.2014.19.2657
[20] A. P. Lemos-Paiao, C. J. Silva and D.F.M. Torres An epidemic model for cholera with optimal control treatment. Journal Computational and Applied Mathematics. vol. 318, 2017, pp. 168180. https://doi.org/10.1016/j.cam.2016.11.002
[21] M.O. Beryl, L. O. George and N. O.Fredrick Mathematical analysis of a cholera transmission model incorporating media coverage. International Journal of Pure and Applied Mathematics. vol. 111, no. 2, 2016. pp. 219231. DOI:10.12732/ijpam.v111i2.8
[22] J. Wang, and C. Modnak. Modeling cholera dynamics with controls. Canadian Applied Mathematics Quarterly. vol. 19, no. 3, 2011. Pp. 255273
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