Abstract
Rift Valley fever (RVF) is an emerging viral infectious disease capable of infecting livestock and human populations. Owing to possible delay in RVF diagnosis, as well as its potential adverse effects on human lives and huge economic impacts on animal trade, this paper seeks to develop a new mathematical model for RVF transmission dynamics with treatment delay and environmental transmission route. The formulated model is a ten-dimensional system of ordinary differential equations that takes into account the time-dependent vaccination of livestock and sanitation of environment as the control variables. Well-posedness of the model is established through positivity of state variables in an epidemiologically feasible region. Effective reproduction number of the model is determined, and it is observed that increase in values of constant vaccination parameters reduces the disease spread. While increase in treatment delay is shown to increase the spread of RVF in livestock and human populations. The analysis of the model is based largely on optimal control theory application. Lipschitz continuity approach is used to prove the existence of solution to the optimal control problem. Pontryagin’s maximum principle is employed to characterize both optimal vaccination and sanitation controls and the resulting optimality system is quantitatively solved. In addition, efficiency analysis is performed to determine the most efficient of the vaccination, environmental sanitation and both optimal controls required to curb the spread of RVF. The study shows that combination of both controls is the most efficient strategy that can be implemented to reduce the spread of RVF in the population significantly.
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Falowo, O.D., Olaniyi, S. & Oladipo, A.T. Optimal control assessment of Rift Valley fever model with vaccination and environmental sanitation in the presence of treatment delay. Model. Earth Syst. Environ. 9, 457–471 (2023). https://doi.org/10.1007/s40808-022-01508-1
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DOI: https://doi.org/10.1007/s40808-022-01508-1