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Analyzing the infection dynamics and control strategies of cholera
1. | Mathematics Department, College of William and Mary, Williamsburg, VA 23187, United States |
2. | School of Mathematics and Statistics, Chongqing Technology and Business University, China |
3. | Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA 23529 |
References:
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Jianxin Yang, Zhipeng Qiu, Xue-Zhi Li. Global stability of an age-structured cholera model. Mathematical Biosciences & Engineering, 2014, 11 (3) : 641-665. doi: 10.3934/mbe.2014.11.641 |
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Peter J. Witbooi, Grant E. Muller, Marshall B. Ongansie, Ibrahim H. I. Ahmed, Kazeem O. Okosun. A stochastic population model of cholera disease. Discrete and Continuous Dynamical Systems - S, 2022, 15 (2) : 441-456. doi: 10.3934/dcdss.2021116 |
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Jing-Jing Xiang, Juan Wang, Li-Ming Cai. Global stability of the dengue disease transmission models. Discrete and Continuous Dynamical Systems - B, 2015, 20 (7) : 2217-2232. doi: 10.3934/dcdsb.2015.20.2217 |
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Yoshiaki Muroya, Toshikazu Kuniya, Yoichi Enatsu. Global stability of a delayed multi-group SIRS epidemic model with nonlinear incidence rates and relapse of infection. Discrete and Continuous Dynamical Systems - B, 2015, 20 (9) : 3057-3091. doi: 10.3934/dcdsb.2015.20.3057 |
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