The dynamics of psittacosis in human and poultry populations: a mathematical modelling perspective

Winnie Mokeira Onsongo, Enoch Deyaka Mwini, Brian Nyasagare Nyanaro, Shaibu Osman

Abstract


Psittacosis is a disease in human beings that is commonly associated with pet birds such as cockatiels and parrots, and among poultry such as ducks and turkeys. This paper proposed and developed a deterministic epidemiological model that explains the transmission dynamics of Psittacosis infection in humans and poultry. The Psittacosis deterministic model was analyzed to determine positivity of the solution set, the invariant feasible region, the basic reproduction number, the disease free equilibrium points, the endemic equilibrium points and the corresponding stability of each of the equilibrium points. The basic reproduction number is calculated using the next generation matrix and it was found to be entirely dependent on the poultry population parameters. The study established that whenever R0 < 1, Psittacosis dies out from the population and when R0 > 1, Psittacosis keeps persisting in the population. Sensitivity analysis was conducted to determine the contribution of each parameter to the basic reproduction number. The more sensitive parameters were found to be responsible for the further propagation of Psittacosis while the less sensitive parameters rarely contributed to the spread. Stability analysis of both the disease free equilibrium and the Endemic equilibrium were conducted. Lastly, numerical simulation was conducted to justify quantitative analysis of the dynamics of the transmission of Psittacosis.

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Published: 2021-11-10

How to Cite this Article:

Winnie Mokeira Onsongo, Enoch Deyaka Mwini, Brian Nyasagare Nyanaro, Shaibu Osman, The dynamics of psittacosis in human and poultry populations: a mathematical modelling perspective, J. Math. Comput. Sci., 11 (2021), 8472-8505

Copyright © 2021 Winnie Mokeira Onsongo, Enoch Deyaka Mwini, Brian Nyasagare Nyanaro, Shaibu Osman. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

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