Dynamics and control of a mathematical delayed Cholera model
*Adamu Shitu HassanCorresponding authorhashitu.mth@buk.edu.ngshituha@unisa.ac.zaDepartment of Mathematical SciencesFlorida Science Campus, JohannesburgUniversity of South AfricaSouth AfricaView full profile → , Justin M. W. Mungangamunganjwa@unisa.ac.zaDepartment of Mathematical SciencesFlorida Science Campus, JohannesburgUniversity of South AfricaSouth AfricaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 05 Nov 2021
- Published Online:
- 01 Mar 2023
- Article type:
- A
- Language:
- EN
- Article no.:
- JIM-1420
- Pages:
- 201–229
Abstract
Keywords
Subject Classifications
References
[1] J. F. T. Akoachere and C. K. Mbuntcha. Water sources as reservoirs of Vibrio cholerae O1 and non-O1 strains in Bepanda, Douala (Cameroon): Relationship between isolation and physico- chemical factors. BMC Infectious Diseases, 14(1):1–10, 2014.
[2] S. Almagro-Moreno and R. K. Taylor. Cholera: Environmental reservoirs and impact on disease transmission. Microbiology Spectrum, 1(2):1–19, 2013.
[3] S. Awasthi, N. Kumar, and P. K. Srivastava. An epidemic model to analyze the dynamics of malware propagation in rechargeable wireless sensor network. Journal of Discrete Mathematical Sciences and Cryptography, 24(5):1529–1543, 2021.
[4] E. Beretta and Y. Kuang. Modeling and analysis of a marine bacteriophage infection. Mathe- matical Biosciences, 149:57–76, 1998.
[5] V. Bhatnagar, R. C. Poonia, P. Nagar, V. Singh, L. Raja, and P. Dass. Descriptive analysis of COVID-19 patients in the context of India. Journal of Interdisciplinary Mathematics, 24(3):489– 504, 2021.
[6] L. M. Cai, C. Modnak, and J. Wang. An age-structured model for cholera control with vaccination. Applied Mathematics and Computation, 299:127–140, 2017.
[7] V. Capasso and S. L. Paveri-Fontana. A mathematical model for the 1973 cholera epidemic in the European Mediterranean region. Rev. Epidemiol. Sante Publique, 27(2):121–132, 1979.
[8] C. Chen, L. Liu, and N. Zhao. Fear Sentiment , Uncertainty , and Bitcoin Price Dynamics : The Case of COVID-19. Emerging Markets Finance and Trade, 56(10):2298–2309, 2020.
[9] C. T. CodeÇo. Endemic and epidemic dynamics of cholera: the role of the aquatic reservoir. BMC Infectious Diseases, 1(1):1–14, 2001.
[10] R. R. Colwell and A. Huq. Environmental reservoir of Vibrio cholerae the causative agent of cholera. Annals of the New York Academy Society, 740:44–54, 1994.
[11] E. Dangbé, D. Irépran, A. Perasso, and D. Békollé. Mathematical modelling and numerical simulations of the influence of hygiene and seasons on the spread of cholera. Mathematical Biosciences, 296(2018):60–70, 2017.
[12] ECDC. Communicable disease threats report, 17 -23 October 2021, week 42. Technical Report October, 2021.
[13] K. Gallandat, A. Huang, J. Rayner, G. String, and D. S. Lantagne. Household spraying in cholera outbreaks : Insights from three exploratory , mixed- methods field effectiveness evaluations. PLoS Neglected Tropical Diseases, 14(8):1–18, 2020.
[14] J. K. Hale and S.M.V. Lunel, Introduction to Functional Differential Equations, Applied Mathematical Sciences, Springer-Verlag, New York Inc., 1993.
[15] D. M. Hartley, J. G. Morris, and D. L. Smith. Hyperinfectivity: A critical element in the ability of V. cholerae to cause epidemics? PLoS Medicine, 3(1):63–69, 2006.
[16] O. B. Hassan and L. B. Nellums. Cholera during COVID-19: The forgotten threat for forcibly displaced populations. EClinicalMedicine, 32:1–2, 2021.
[17] S. D. Hove-Musekwa, F. Nyabadza, C. Chiyaka, P. Das, A. Tripathi, and Z. Mukandavire. Mod- elling and analysis of the effects of malnutrition in the spread of cholera. Mathematical and Computer Modelling, 53:1583–1595, 2011.
[18] E. Kokomo and Y. Emvudu. Mathematical analysis and numerical simulation of an age-structured model of cholera with vaccination and demographic movements. Nonlinear Analysis: Real World Applications, 45:142–156, 2019.
[19] Y. Kuang. Delay Differential Equations with Applications in Population Dynamics. Academic Press, 1993.
[20] J. Li, Z. Teng, and L. Zhang. Stability and bifurcation in a vector-bias model of malaria trans- mission with delay. Mathematics and Computers in Simulation, 152:15–34, 2018.
[21] M. Y. Li and H. Shu. Global dynamics of a mathematical model for HTLV-I infection of CD4 + T cells with delayed CTL response. Nonlinear Analysis: Real World Applications, 13(3):1080–1092, 2012.
[22] S. Liao and F. Fang. Stability analysis and optimal control of a cholera model with time delay. Journal of Computational Analysis and Applications, 22(6):1055–1073, 2017.
[23] S. Liao and W. Yang. Cholera model incorporating media coverage with multiple delays. Math- ematical Methods in the Applied Sciences, 42(2):419–439, 2019.
[24] J. Lin, R. Xu, and X. Tian. Threshold dynamics of an HIV-1 virus model with both virus-to-cell and cell-to-cell transmissions, intracellular delay, and humoral immunity. Applied Mathematics and Computation, 315(11371368):516–530, 2017.
[25] J. Liu, L. Liu, X. Feng, and J. Feng. Global dynamics of a time-delayed echinococcosis transmis- sion model. Advances in Difference Equations, 2015(99), 2015.
[26] J. E. Marsden and M. McCracken. The Hopf Bifurcation and Its Applications. Springer-Verlag NewYork,, United States of America, 1976.
[27] A. K. Misra, A. Gupta, and E. Venturino. Cholera dynamics with Bacteriophage infection: A mathematical study. Chaos, Solitons and Fractals, 91:610–621, 2016.
[28] A. K. Misra, S. N. Mishra, A. L. Pathak, P. Misra, and R. Naresh. Modeling the effect of time delay in controlling the carrier dependent infectious disease - Cholera. Applied Mathematics and Computation, 218(23):11547–11557, 2012.
[29] A. K. Misra and V. Singh. A delay mathematical model for the spread and control of water borne diseases. Journal of Theoretical Biology, 301:49–56, 2012.
[30] Z. Mukandavire, S. Liao, J. Wang, H. Gaff, D. L. Smith, and J. G. Morris. Estimating the reproductive numbers for the 2008-2009 cholera outbreaks in Zimbabwe. Proceedings of the National Academy of Sciences, USA, 108(21):8767–8772, 2011.
[31] Z. Mukandavire, D. L. Smith, and J. G. Morris. Cholera in Haiti: Reproductive numbers and vaccination coverage estimates. Scientific Reports, 3:1–8, 2013.
[32] H. J. B. Njagarah. Modelling water-borne infections : the impact of hygiene, metapopulation movements and the biological control of cholera. PhD thesis, Stellenbosch University, 2014.
[33] G. Orosz. Hopf bifurcation calculations in delayed systems. Journal of Nonlinear Science, 14(6):505–528, 2004.
[34] D. Posny, C. Modnak, and J. Wang. A multigroup model for cholera dynamics and control. International Journal of Biomathematics, 9(1):27, 2016.
[35] M. A. Safi, D. Y. Melesse, and A. B. Gumel. Dynamics analysis of a multi-strain cholera model with an imperfect vaccine. Bulletin of Mathematical Biology, 75(7):1104–1137, 2013.
[36] Z. Shuai and P. van den Driessche. Global dynamics of cholera models with differential infectivity. Mathematical Biosciences, 234(2):118–126, 2011.
[37] V. Singh, R. C. Poonia, S. Kumar, P. Dass, P. Agarwal, V. Bhatnagar, and L. Raja. Prediction of COVID-19 corona virus pandemic based on time series data using support vector machine. Journal of Discrete Mathematical Sciences and Cryptography, 23(8), 2020.
[38] G. Q. Sun, J. H. Xie, S. H. Huang, Z. Jin, M. T. Li, and L. Liu. Transmission dynamics of cholera: Mathematical modeling and control strategies. Communications in Nonlinear Science and Numerical Simulation, 45:235–244, 2017.
[39] H. R. Thieme. Convergence results and a Poincare-Bendixson trichotomy for asymptotically autonomous differential equations. Journal of Mathematical Biology, 30:755–763, 1992.
[40] S. Usaini, A. S. Hassan, S. M. Garba, J. M.-S. Lubuma, A. S. Hassan, S. M. Garba, and J.-s. L. Modeling. Modeling the transmission dynamics of the Middle East Respiratory Syndrome Coronavirus ( MERS- CoV) with latent immigrants. Journal of Interdisciplinary Mathematics, 26(6):903–930, 2019.
[41] P. van den Driessche. Reproduction numbers of infectious disease models. Infectious Disease Modelling, 2(3):288–303, 2017.
[42] K.-M. Wang. Can gold be a safe haven during the COVID-19 pandemic? A quantile causality analysis causality analysis. Journal of Statistics and Management Systems, 24(5):1113–1125, 2021.
[43] Y. Wang, J. Liu, and J. M. Heffernan. Viral dynamics of an HTLV-I infection model with intracellular delay and CTL immune response delay. Journal of Mathematical Analysis and Applications, 459:506–527, 2018.
[44] Y. Wang and J. Wei. Global Dynamics of a Cholera Model With Time Delay. International Journal of Biomathematics, 06(01):125007–1–125007–18, 2012.
[45] Z. Wang and X.-Q. Zhao. Global dynamics of a time-delayed dengue transmission model. Cana- dian Applied Mathematics Quartelry, 20(1):89–114, 2012.
[46] H.-m. Wei, X.-z. Li, and M. Martcheva. An epidemic model of a vector-borne disease with direct transmission and time delay. Mathematical Analysis and Applications, 342:895–908, 2008.
[47] WHO. Cholera 2014. Weekly Epidemiological Record. Technical Report 40, 2015.
[48] WHO. Weekly Epidemiological Record, 21 September 2018. Weekly Epidemiological Record, 93(38):489–500, 2018.
[49] WHO. Cholera Fact Sheets. Technical Report February, 2021.
[50] Z. Xu and X.-Q. Zhao. A vector-bias malaria model with incubation period and diffusion. Discrete and Continuous Dynamical Systems - Series B, 17(7):2615–2634, 2012.
[51] X. Zhou, X. Shi, and J. Cui. Stability and backward bifurcation on a cholera epidemic model with saturated recovery rate. Mathematical Methods in the Applied Sciences, 40(4):1288–1306, 2016.
[52] X.-y. Zhou and J.-a. Cui. Threshold dynamics for a cholera epidemic model with periodic trans- mission rate. Applied Mathematical Modelling, 37:3093–3101, 2013.
[53] X. Y. Zhou, J. A. Cui, and Z. H. Zhang. Global results for a cholera model with imperfect vaccination. Journal of the Franklin Institute, 349(3):770–791, 2012.
[54] J. N. Zuckerman, L. Rombo, and A. Fisch. The true burden and risk of cholera: implications for prevention and control. Lancet Infectious Diseases, 7:521–530, 2007.




