scholarly journals A discrete epidemic model for bovine Babesiosis disease and tick populations

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 360-369 ◽  
Author(s):  
Diego F. Aranda ◽  
Deccy Y. Trejos ◽  
Jose C. Valverde

AbstractIn this paper, we provide and study a discrete model for the transmission of Babesiosis disease in bovine and tick populations. This model supposes a discretization of the continuous-time model developed by us previously. The results, here obtained by discrete methods as opposed to continuous ones, show that similar conclusions can be obtained for the discrete model subject to the assumption of some parametric constraints which were not necessary in the continuous case. We prove that these parametric constraints are not artificial and, in fact, they can be deduced from the biological significance of the model. Finally, some numerical simulations are given to validate the model and verify our theoretical study.

2000 ◽  
Vol 16 (6) ◽  
pp. 998-1015 ◽  
Author(s):  
J. Roderick McCrorie

The exact discrete model satisfied by equispaced data generated by a linear stochastic differential equations system is derived by a method that does not imply restrictions on observed discrete data per se. The method involves integrating the solution of the continuous time model in state space form and a nonstandard change in the order of three types of integration, facilitating the representation of the exact discrete model as an asymptotically time-invariant vector autoregressive moving average model. The method applying to the state space form is general and is illustrated using the prototypical higher order model for mixed stock and flow data discussed by Bergstrom (1986, Econometric Theory 2, 350–373).


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