### Mathematical Biosciences and Engineering

2021, Issue 5: 5069-5093. doi: 10.3934/mbe.2021258
Research article

# Reproduction number and sensitivity analysis of cassava mosaic disease spread for policy design

• Received: 06 April 2021 Accepted: 31 May 2021 Published: 07 June 2021
• We develop a mathematical model for the dynamics of Cassava Mosaic Disease (CMD), which is driven by both planting of infected cuttings and whitefly transmission. We use the model to analyze the dynamics of a CMD outbreak and to identify the most cost-effective policy for controlling it. The model uses the reproduction number $\mathscr{R}_0$ as a threshold, calculated using the Next-Generation Method. A locally-asymptotically-stable disease-free equilibrium is established when $\mathscr{R}_0 < 1$, proved by the Routh-Hurwitz criterion. The globally-asymptotically-stable disease-free and endemic-equilibrium points are obtained using Lyapunov's method and LaSalle's invariance principle. Our results indicate that the disease-free equilibrium point is globally-asymptotically-stable when $\mathscr{R}_0 \leq 1$, while the endemic-equilibrium point is globally-asymptotically-stable when $\mathscr{R}_0 > 1$. Our sensitivity analysis shows that $\mathscr{R}_0$ is most sensitive to the density of whitefly. Numerical simulations confirmed the effectiveness of whitefly control for limiting an outbreak while minimizing costs.

Citation: Phongchai Jittamai, Natdanai Chanlawong, Wanyok Atisattapong, Wanwarat Anlamlert, Natthiya Buensanteai. Reproduction number and sensitivity analysis of cassava mosaic disease spread for policy design[J]. Mathematical Biosciences and Engineering, 2021, 18(5): 5069-5093. doi: 10.3934/mbe.2021258

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• We develop a mathematical model for the dynamics of Cassava Mosaic Disease (CMD), which is driven by both planting of infected cuttings and whitefly transmission. We use the model to analyze the dynamics of a CMD outbreak and to identify the most cost-effective policy for controlling it. The model uses the reproduction number $\mathscr{R}_0$ as a threshold, calculated using the Next-Generation Method. A locally-asymptotically-stable disease-free equilibrium is established when $\mathscr{R}_0 < 1$, proved by the Routh-Hurwitz criterion. The globally-asymptotically-stable disease-free and endemic-equilibrium points are obtained using Lyapunov's method and LaSalle's invariance principle. Our results indicate that the disease-free equilibrium point is globally-asymptotically-stable when $\mathscr{R}_0 \leq 1$, while the endemic-equilibrium point is globally-asymptotically-stable when $\mathscr{R}_0 > 1$. Our sensitivity analysis shows that $\mathscr{R}_0$ is most sensitive to the density of whitefly. Numerical simulations confirmed the effectiveness of whitefly control for limiting an outbreak while minimizing costs.

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• © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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