Analysis of Sub-Models for the Basic Transmission Dynamics of Zika Virus Infection

Authors

  • Sulaiman Usman Department of Mathematics, Modibbo Adama University, P.M.B 2076, Yola, Adamawa State, Nigeria Author
  • Adamu S. Hassan Department of Mathematical Sciences, Bayero University Kano, P.M.B. 3011, Kano, Nigeria Author

DOI:

https://doi.org/10.62054/ijdm/0202.06

Keywords:

Zika Virus, Age-structured Model, Sub-Models, Sexual Transmission, Vertical Transmission, Stability analysis and Sensitivity Analysis.

Abstract

In this paper, an age-structured model for the transmission dynamics of Zika virus infection that included the effects of vertical transmission in Aedes vectors, and sexual transmission in humans was formulated and analysed. The model was shown to have a unique, positive and bounded solution in a certain uniformly bounded invariant set. The model was validated using the 2016 outbreak data for Colombia using stratified proportionate random sampling to distribute infections according to the age classification in the model. Due to the complex nature of the model, three independent sub-models were extracted and studied individually. In each case, we computed the disease-free equilibrium (DFE) and the basic reproduction number of the sub-models. The reproduction numbers were found to exist if a certain threshold value  which corresponds to the vertical reproduction number in the Aedes vectors progeny is less than one. The DFEs of the sub-models were shown to be globally asymptotically stable if their associated reproduction number is less than one. Global sensitivity analysis using PRCC method revealed that vector biting and mortality rates, vector-human ratio parameter and sexual transmission rates are the most sensitive parameters that should be targeted for comprehensive intervention and disease management.

References

References

Al-Maqrashi, K., Al-Musalhi, F., Elmojtaba, I. M. and Al-Salti, N. (2022). Mathematical Analysis of a Zika Model with reservoirs and Human Movement. A preprint thesis available online at https://doi.org/10.1101/2022.03.02.22271760.

Aranda, L. D. F., Gonzalez-Para, G., & Benincasa, T. (2019). Mathematical modelling and numerical simulations of Zika in Colombia considering mutation. Mathematics and Computers in Simulation, 163, 1e18.

Biswas, S. K., Ghosh, U. and Sarkar, S. (2020). Mathematical model of Zika virus dynamics with vector control and sensitivity analysis. Infectious Disease Modelling, 2020 (5), pp. 23-41. https://doi.org/10.1016/j.idm.2019.12.001.

Castillo-Chavez, C., and Song B. (2004). Dynamical model of tuberculosis and their applications, Math. Biosci. Eng., 1 (2), 361-404.

Centre for Disease Prevention and Control, CDC. (2019). National Centre on Birth Defects Developmental Disabilities: Symptoms, Diagnosis & How to Protect Yourself from Getting Zika from Sex. Atlanta. Retrieved on November 23, 2023.

Chen, T.Y., Tse, T.H. and Yu, Y.T. (2001). Proportional sampling strategy: a compendium and some insights. Journal of Systems and Software, 58 (1) pp. 65-81.

Coddington, E. A. and Levinson, N. (1955). Theory of Ordinary Differential Equations. McGraw-Hill, New York.

Diekmann, O., Heesterbeek, J. A. and Metz, J. A. J. On the Definition and the Computation of the Basic Reproductive Ratio, in Models of Infectious Diseases in Heterogeneous Populations. Journal of Mathematical Biology, 28, pp: 365-382, (1990).

Kucharski, A.J., Funk, S., Eggo, R.M., Mallet, H.P., Edmunds, W.J., Nilles, E.J. (2016). Transmission Dynamics of Zika Virus in Island Populations: A Modelling Analysis of the 2013-14 French Polynesia Outbreak. PLoS Neglected Tropical Diseases, 10 (5), e0004726. doi:10.1371/journal.pntd.0004726.

Lakshmikantham, V., Leela, S. and Martynyuk, A. (1989). Stability Analysis of Nonlinear Systems. Marcel Dekker Inc., New York and Basel, P.31.

Lanko, K., Eggermont, K., Kaptein, S., Guo, W., Marques, R., Damme, V., et al. (2016). Zika virus induces cell death in human iPSC derived neuronal cells. Neurological Complications Oral, 41, 1-59.

Macrotrends. Colombia Birth Rate 1950-2024. Retrieved from https://www.macrotrends.net/global-metrics/countries/col/colombia/birth-rate on 20th September, 2024.

Maxian, O., Neufeld, A., Emma, J. T., Lauren, M. C., Julie, C. B. (2017). Zika virus dynamics: When does sexual transmission matters? Elsevier-Epidemics, 21, 48-55.

Moreno, V.M.,Espinoza, B, Bichara, D., Susan A. H. and Castillo-Chavez, C. (2017). Role of short-term dispersal on the dynamics of Zika virus in an extreme idealized environment. Infectious Disease Modelling, 2, pp 21-34,

Muhammad, H. (2024). Stratified Random Sampling-Definition, Method and Examples. ResearchMethod.Net, March 25, 2024. Retrieved from https://researchmethod.net/stratified-sampling/ on 15th October, 2024.

Rahman, M., Bekele-Maxwell, K., Cates, L. L., Banks, H. T. & Vaidya, N. K. (2019). Modelling Zika Virus Transmission Dynamics: Parameter Estimates, Disease Characteristics, and Prevention. Nature-Scientific Reports, 9: 10575. https://doi.org/10.1038/s41598-019-46218-4.

Rezapour, S., Hakimeh, M., Amin, J. (2020). A new mathematical model for Zika virus transmission. Springer-Advances in Difference Equations, 589.

Robert, M. B. and Klaus, S. (2009). Electronic Journal of Differential Equations, Monograph 09, ISSN: 1072-6691.

Sanchez-Franco, S. and Gonzalez-Uribe, C. (2021). Age disparities in unmet need for contraception among all sexually active women in Colombia: Demographic Health Survey 2015. Women & Health, 61 (6), pp. 562-571.

Saravanan, T., Jing, H., Charles, E. H., Hilda, G & Robert, B. T. (2016). Vertical Transmission of Zika Virus in Aedes aegypti Mosquitoes. American Journal of Tropical Medicine and Hygiene, 95 (5), 1169-1173.

Scott, C. W., Costa, F., Mariano, A. G., Albert, I. K., Ribeiro, G. S., George, S. et al. (2016). Zika Virus: History, emergence, biology and prospects for control. Elsevier-Antiviral Research, 130, 69-80.

Shaban, N. and Mofi, H. (2014). Modelling the Impact of Vaccination and Screening on the Dynamics of Human Papillomavirus Infection. Int. Journal of Math. Analysis, 8 (9), 441-454.

Sherer, M. L., Lemanski, E. A., Patel, R. T., Wheeler, S. R., Parcells, M. S., Schwarz, J. M. (2021). A Rat Model of Prenatal Zika Virus Infection and Associated Long-Term Outcomes. Viruses, 13, 2298. https://doi.org/10.3390/v13112298.

Sow, A., Diallo, C., and Cheriff, H. (2022). Effects of Vertical Transmission and Human Contact on Zika Dynamics. Hindawi-Complexity, 2022, Article ID 5366395, pp. 1-15. https://doi.org/10.1155/2022/5366395.

Usman, U., Adamu, I. I. & Babando, H. A. (2017). Mathematical model for the Transmission Dynamics of the Zika Virus Infection with Combined Vaccination and Treatment Interventions. Journal of Applied Mathematics and Physics, 5, 1964-1978.

Van den Driessche, P., and James, W. (2002). Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Mathematical Biosciences, 180, 29-48.

Wang, L., Jia, Q., Zhu, G., Ou, G. and Tang, T. (2024). Transmission dynamics of Zika virus with multiple infection routes and a case study in Brazil. Nature-Scientific Reports, 14 (2024), 7424. https://doi.org/10.1038/s41598-024-58025-7.

Wikipedia: Demographics of Colombia. Retrieved from https://en.wikipedia.org/wiki/Demographics_of_Colombia on 1st November, 2024.

World Bank. Yearly Mortality Rate of Colombia.

Yuan, X., Yijun, L., Daihai, H., Jinliang, W., Daozhou, G. (2021). A Zika Endemic Model for the Contribution of Multiple Transmission Routes. Bulletin of Mathematical Biology, 83, 111. https://doi.org/10.1007/s11538-021-00945-w.

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Published

2025-06-29

Data Availability Statement

In the work, data sets have been made available and accessible to interested researchers.

How to Cite

Analysis of Sub-Models for the Basic Transmission Dynamics of Zika Virus Infection. (2025). International Journal of Development Mathematics (IJDM), 2(2), 088-122. https://doi.org/10.62054/ijdm/0202.06

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