For a multigroup cholera model with indirect transmission, the infection for a susceptible person is almost invariably transmitted by drinking contaminated water in which pathogens, V. cholerae, are present. The basic reproduction number is identified and global dynamics are completely determined by . It shows that is a globally threshold parameter in the sense that if it is less than one, the disease-free equilibrium is globally asymptotically stable; whereas if it is larger than one, there is a unique endemic equilibrium which is global asymptotically stable. For the proof of global stability with the disease-free equilibrium, we use the comparison principle; and for the endemic equilibrium we use the classical method of Lyapunov function and the graph-theoretic approach. 1. Introduction Cholera, a waterborne gastroenteric infection, remains a significant threat to public health in the developing world. Outbreaks of cholera occur cyclically, usually twice per year in endemic areas, and the intensity of these outbreaks varies over longer periods [1]. Hence, in the last few decades, enormous attention is being paid to the cholera disease and several mathematical dynamic models have been developed to study the transmission of cholera [1–7]. In these papers, they consider the population is uniformly mixed, but many factors can lead to heterogeneity in a host population. So in this paper we divide different population into different groups, which can be divided geographically into communities, cities, and countries, to incorporate differential infectivity of multiple strains of the disease agent. In the case of cholera, the transmission usually occurs through ingestion of contaminated water or feces rather than through casual human-human contact [1]. Therefore, direct contact of healthy person with an infected person is not a risk for contracting infection, whereas a healthy person may contract infection by drinking contaminated water in which pathogens, V. cholerae, are present [2]. The members of this bacterial genus (V. cholerae) naturally colonize in lakes, rivers, and estuaries. Therefore we consider that cholera transmits to other individuals via bacteria in the aquatic environment and formulates a multi-group epidemic model for cholera. Let be the total population which is divided into four epidemiological compartments, susceptible compartment , infectious compartment , recovered compartment , and vaccinated compartment . Let be the density of V. cholerae in the aquatic environment. As a consequence of the increase in the density of virulent V.
References
[1]
M. A. Jensen, S. M. Faruque, J. J. Mekalanos, and B. R. Levin, “Modeling the role of bacteriophage in the control of cholera outbreaks,” Proceedings of the National Academy of Sciences of the United States of America, vol. 103, no. 12, pp. 4652–4657, 2006.
[2]
A. K. Misra and V. Singh, “A delay mathematical model for the spread and control of water borne diseases,” Journal of Theoretical Biology, vol. 301, pp. 49–56, 2012.
[3]
C. Torres Code?o, “Endemic and epidemic dynamics of cholera: the role of the aquatic reservoir,” BMC Infectious Diseases, vol. 1, article 1, 2001.
[4]
M. Pascual, M. J. Bouma, and A. P. Dobson, “Cholera and climate: revisiting the quantitative evidence,” Microbes and Infection, vol. 4, no. 2, pp. 237–245, 2002.
[5]
D. M. Hartley, J. G. Morris Jr., and D. L. Smith, “Hyperinfectivity: a critical element in the ability of V. cholerae to cause epidemics?” PLoS Medicine, vol. 3, no. 1, pp. 63–69, 2006.
[6]
Z. Mukandavire, S. Liao, J. Wang, H. Gaff, D. L. Smith, and J. G. Morris Jr., “Estimating the reproductive numbers for the 2008-2009 cholera outbreaks in Zimbabwe,” Proceedings of the National Academy of Sciences of the United States of America, vol. 108, no. 21, pp. 8767–8772, 2011.
[7]
Z. Mukandavire, D. L. Smith, and J. G. Morris Jr., “Cholera in Haiti: reproductive numbers and vaccination coverage estimates,” Scientific Reports, vol. 3, article 997, 2013.
[8]
W. Z. Huang, K. L. Cooke, and C. Castillo-Chavez, “Stability and bifurcation for a multiple-group model for the dynamics of HIV/AIDS transmission,” SIAM Journal on Applied Mathematics, vol. 52, no. 3, pp. 835–854, 1992.
[9]
Z. Feng and J. X. Velasco-Hernández, “Competitive exclusion in a vector-host model for the dengue fever,” Journal of Mathematical Biology, vol. 35, no. 5, pp. 523–544, 1997.
[10]
C. Bowman, A. B. Gumel, P. Van den Driessche, J. Wu, and H. Zhu, “A mathematical model for assessing control strategies against West Nile virus,” Bulletin of Mathematical Biology, vol. 67, pp. 1107–1133, 2005.
[11]
R. Edwards, S. Kim, and P. van den Driessche, “A multigroup model for a heterosexually transmitted disease,” Mathematical Biosciences, vol. 224, pp. 87–94, 2010.
[12]
A. Lajmanovich and J. A. York, “A deterministic model for gonorrhea in a nonhomogeneous population,” Mathematical Biosciences, vol. 28, pp. 221–236, 1976.
[13]
H. W. Hethcote, “An immunization model for a heterogeneous population,” Theoretical Population Biology, vol. 14, no. 3, pp. 338–349, 1978.
[14]
H. R. Thieme, “Local stability in epidemic models for heterogeneous populations,” in Mathematics in Biology and Medicine, V. Capasso, E. Grosso, and S. L. Paveri-Fontana, Eds., vol. 57 of Lecture Notes in Biomathematics, pp. 185–189, Springer, 1985.
[15]
H. Guo, M. Y. Li, and Z. Shuai, “Global stability of the endemic equilibrium of multigroup SIR epidemic models,” Canadian Applied Mathematics Quarterly, vol. 14, pp. 259–284, 2006.
[16]
Z. Yuan and L. Wang, “Global stability of epidemiological models with group mixing and nonlinear incidence rates,” Nonlinear Analysis. Real World Applications, vol. 11, no. 2, pp. 995–1004, 2010.
[17]
R. Sun and J. Shi, “Global stability of multigroup epidemic model with group mixing and nonlinear incidence rates,” Applied Mathematics and Computation, vol. 218, pp. 280–286, 2011.
[18]
M. Y. Li, Z. Shuai, and C. Wang, “Global stability of multi-group epidemic models with distributed delays,” Journal of Mathematical Analysis and Applications, vol. 361, pp. 38–47, 2010.
[19]
H. Shu, D. Fan, and J. Wei, “Global stability of multi-group SEIR epidemic models with distributed delays and nonlinear transmission,” Nonlinear Analysis. Real World Applications, vol. 13, no. 4, pp. 1581–1592, 2012.
[20]
O. Diekmann, J. A. Heesterbeek, and J. A. Metz, “On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations,” Journal of Mathematical Biology, vol. 28, no. 4, pp. 365–382, 1990.
[21]
P. van den Driessche and J. Watmough, “Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission,” Mathematical Biosciences, vol. 180, pp. 29–48, 2002.
[22]
O. Diekmann, J. A. P. Heesterbeek, and M. G. Roberts, “The construction of next-generation matrices for compartmental epidemic models,” Journal of the Royal Society Interface, vol. 7, no. 47, pp. 873–885, 2010.
[23]
H. L. Smith and P. Waltman, The Theory of the Chemostat, Cambridge University Press, 1995.
[24]
H.R. Thieme, “Convergence results and a Poincaré-Bendixson trichotomy for asymptotically autonomous differential equations,” Journal of Mathematical Biology, vol. 30, pp. 755–763, 1992.
[25]
X. Q. Zhao and Z. J. Jing, “Global asymptotic behavior in some cooperative systems of functional differential equations,” Canadian Applied Mathematics Quarterly, vol. 4, pp. 421–444, 1996.
[26]
H. R. Thieme, “Persistence under relaxed point-dissipativity (with application to an endemic model),” Mathematical Biosciences, vol. 166, pp. 407–435, 1993.
[27]
X. Q. Zhao, “Uniform persistence and periodic coexistence states in infinitedimensional periodic semiflows with applications,” Canadian Applied Mathematics Quarterly, vol. 3, pp. 473–495, 1995.
[28]
W. D. Wang and X.-Q. Zhao, “An epidemic model in a patchy environment,” Mathematical Biosciences, vol. 190, no. 1, pp. 97–112, 2004.
[29]
H. Guo, M. Y. Li, and Z. Shuai, “A graph-theoretic approach to the method of global Lyapunov functions,” Proceedings of the American Mathematical Society, vol. 136, no. 8, pp. 2793–2802, 2008.
[30]
J. W. Moon, Counting Labelled Trees, Canadian Mathematical Congress, Montreal, Canada, 1970.
[31]
D. E. Knuth, The Art of Computer Programming, vol. 1, Addison-Wesley, Reading, Mass, USA, 1997.
[32]
J. P. Lasalle, “The stability of dynamical systems,” in Proceedings of the Regional Conference Series in Applied Mathematics, SIAM, Philadelphia, Pa, USA, 1976.