Modeling the Impact of Vaccination on Newcastle Disease Dynamics in Caged Chickens
Keywords:
Newcastle disease, Caged chicken, Vaccine, Dynamics, RevaccinationAbstract
Newcastle disease continues to have a significant economic impact on farmers and food security. This
study develops and analyzes a deterministic mathematical model to investigate the effect of vaccination
on the transmission dynamics of Newcastle disease in caged chicken populations. The model is based
on the Susceptible Exposed-Infected Vaccinated Revaccinated Recovered Susceptible (SEIVVrRS) framework,
adapted to capture the unique characteristics of Newcastle disease transmission. The disease free equilibrium
of the model was computed, and the basic reproduction number for Newcastle disease was calculated using
the next generation matrix method. Both analytical results and numerical simulations show that frequent
vaccinations increase the number of susceptible chickens by reducing the at-risk chicken population. Additionally, re-vaccination significantly enhances immunity, resulting in a higher number of recovered chickens.
Sensitivity analysis indicates that the recruitment rate of chickens, the effective contact rate between susceptible and infectious chickens, and the natural death rate of chickens are the most sensitive parameters for
targeting in disease control strategies. Therefore, the findings from this study can support farmers and food
security practitioners in decision making regarding Newcastle disease control strategies and emphasize their
crucial role in poultry disease management
Downloads
References
bibitem{annapragada2019modeling} Annapragada A, Borgerson C, Iams S, Ravelomanantsoa MA, Crawford GC, Helin M,
Anjaranirina EJG, Randriamady HJ and Golden CD (2019)
{Modeling the Impact
of Newcastle Disease Virus Vaccinations on Chicken Production Systems in
Northeastern Madagascar}. Front. Vet. Sci. 6:305. doi: 10.3389/fvets.2019.00305
bibitem{hugo2017optimal} Alfred Hugo, Oluwole Daniel Makinde, Santosh Kumar & Fred F. Chibwana (2017) {Optimal control and cost effectiveness analysis for Newcastle disease eco-epidemiological model in Tanzania}, textit{Journal of Biological Dynamics}, 11:1, 190-209, DOI: 10.1080/17513758.2016.1258093
bibitem{chitnis2008determining} Chitnis, N., Hyman, J. M., & Cushing, J. M. (2008). Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model. textit{Bulletin of mathematical biology}, 70, 1272-1296.
bibitem{daut2016interacting} Daut EF, Lahodny G, Jr., Peterson MJ, Ivanek R (2016) Interacting Effects of Newcastle Disease Transmission and Illegal Trade on a Wild Population of White-Winged Parakeets in Peru: A Modeling Approach. textit{PLoS ONE} 11(1): e0147517. doi:10.1371/journal.pone.0147517
bibitem{chuma2018modeling} Furaha Chuma, Gasper G. Mwanga & Damian Kajunguri (2018) Modeling the role of wild birds and environment in the dynamics of Newcastle disease in village chicken, textit{Asian Journal of Mathematics and Applications}.
bibitem{chuma2019stability} Furaha Chuma & Gasper G. Mwanga (2019) Stability Analysis of Equilibrium Points of Newcastle Disease Model of Village Chicken in the Presence of Wild Birds Reservoir, textit{I.J. Mathematical Sciences and Computing}, 2019, 2, 1-18 Published Online April 2019 in MECS (http://www.mecs-press.net) DOI: 10.5815/ijmsc.2019.02.01
bibitem{mwanga2020bifurcation} Furaha Chuma & Gasper G. Mwanga (2020) Bifurcation Analysis of Newcastle Disease Eco-epidemiological Model in the Presence of Vaccination: A Case of the Backyard Chicken, textit{Journal of Education, Humanities and Sciences}, Volume 9 No. 2, 2020: 42–59
bibitem{getabalew2019epidemiology} Getabalew, M., Alemneh, T., Akeberegn, D., Getahun, D., & Zewdie, D. (2019). epidemiology, Diagnosis & Prevention of Newcastle disease in poultry. textit{Am J Biomed Sci Res}, 16, 50-9.
bibitem{ijeoma2020mathematical} Uwakwe Joy Ijeoma, Inyama Simeon Chioma, Omame Andrew (2020). Mathematical Model and Optimal Control of New-Castle Disease. textit{Applied and Computational Mathematics}. Vol. 9, No. 3, 2020, pp. 70-84. doi: 10.11648/j.acm.20200903.14
bibitem{capua2009avian} Capua, & Alexander. (2009). Avian influenza and Newcastle disease: a field and laboratory manual. textit{Springer Science & Business Media}.
bibitem{richard2014evaluation} Akele, et al. (2014). Evaluation of the efficacy of Newcastle disease (Lasota) live vaccines sold in Jos, Plateau state, Nigeria. textit{European Scientific Journal}. Vol 10, No. 27.
bibitem{nannyonga2015optimal} Nannyonga, Mwanga, & Luboobi. (2015). An optimal control problem for ovine brucellosis with culling. textit{Journal of biological dynamics}. Vol 9 (1), pp 198-214.
bibitem{cattoli2011newcastle} Giovanni, Leonardo, Calogero, & Corrie. (2011). Newcastle disease: a review of field recognition and current methods of laboratory detection. textit{Journal of veterinary diagnostic investigation}. Vol 23, No. 4, pp 637-656.
bibitem{dzogbema2021review} Francois-Xavier, Essodina, Komlan, Balabadi. (2021). Review on Newcastle disease in poultry. textit{International Journal of Biological and Chemical Sciences}. Vol 15, No. 2, pp 773-789.
Published
How to Cite
Issue
Section
Copyright (c) 2024 Odeli J. Kigodi, Mohamedi S. Manjenga, Nathanael C. Katundu, Chacha S. Chacha, Joshua A. Mwasunda, Nkuba Nyerere
This work is licensed under a Creative Commons Attribution 4.0 International License.