American Institute of Mathematical Sciences

Advanced
2016, 13(1): 1-18. doi: 10.3934/mbe.2016.13.1

Competitive exclusion and coexistence in a two-strain pathogen model with diffusion

Azmy S. Ackleh 1, , Keng Deng 1, and  Yixiang Wu 2,

1. 

Department of Mathematics, University of Louisiana at Lafayette, Lafayette, Louisiana 70504-1010, United States
2. 

Department of Mathematics, University of Louisiana at Lafayette, Lafayette, Louisiana 70504, United States

Received  December 2014 Revised  August 2015 Published  October 2015

We consider a two-strain pathogen model described by a system of reaction-diffusion equations. We define a basic reproduction number $R_0$ and show that when the model parameters are constant (spatially homogeneous), if $R_0 >1$ then one strain will outcompete the other strain and drive it to extinction, but if $R_0 \le 1$ then the disease-free equilibrium is globally attractive. When we assume that the diffusion rates are equal while the transmission and recovery rates are heterogeneous, then there are two possible outcomes under the condition $R_0 >1$: 1) Competitive exclusion where one strain dies out. 2) Coexistence between the two strains. Thus, spatial heterogeneity promotes coexistence.
Keywords: coexistence, homogeneous environment, heterogeneous environment., competitive exclusion, Multiple-strain pathogen model, basic reproduction number.
Mathematics Subject Classification: Primary: 92D30, 91D25; Secondary: 35K57, 37N25, 35B4.
Citation: Azmy S. Ackleh, Keng Deng, Yixiang Wu. Competitive exclusion and coexistence in a two-strain pathogen model with diffusion. Mathematical Biosciences & Engineering, 2016, 13 (1) : 1-18. doi: 10.3934/mbe.2016.13.1
References:
[1]

A. S. Ackleh and L. J. S. Allen, Competitive exclusion principle for pathogens in an epidemic model with variable population size, Journal of Mathematical Biology, 47 (2003), 153-168. doi: 10.1007/s00285-003-0207-9.  Google Scholar

[2]

A. S. Ackleh and L. J. S. Allen, Competitive exclusion in SIS and SIR epidemic models with total cross immunity and density-dependent host mortality, Discrete and Continuous Dynamical Systems Series B, 5 (2005), 175-188. doi: 10.3934/dcdsb.2005.5.175.  Google Scholar

[3]

A. S. Ackleh and P. Salceanu, Robust uniform persistence and competitive exclusion in a nonautonomous multi-strain SIR epidemic model with disease-induced mortality, Journal of Mathematical Biology, 68 (2014), 453-475. doi: 10.1007/s00285-012-0636-4.  Google Scholar

[4]

N. D. Alikakos, An application of the invariance principle to reaction-diffusion equations, Journal of Differential Equations, 33 (1979), 201-225. doi: 10.1016/0022-0396(79)90088-3.  Google Scholar

[5]

L. J. S. Allen, M. Langlais and C. J. Phillips, The dynamics of two viral infections in a single host population with applications to hantavirus, Mathematical Biosciences, 186 (2003), 191-217. doi: 10.1016/j.mbs.2003.08.002.  Google Scholar

[6]

L. J. S. Allen, B. M. Bolker, Y. Lou and A. L. Nevai, Asymptotic profiles of the steady states for an SIS epidemic patch model, SIAM Journal on Applied Mathematics, 67 (2007), 1283-1309. doi: 10.1137/060672522.  Google Scholar

[7]

L. J. S. Allen, B. M. Bolker, Y. Lou and A. L. Nevai, Asymptotic profiles of the steady states for an SIS epidemic reaction-diffusion model, Discrete and Continuous Dynamical Systems, 21 (2008), 1-20. doi: 10.3934/dcds.2008.21.1.  Google Scholar

[8]

V. Andreasen, J. Lin and S. A. Levin, The dynamics of cocirculating influenza strains conferring partial cross-immunity, Journal Mathematical Biology, 35 (1997), 825-842. doi: 10.1007/s002850050079.  Google Scholar

[9]

V. Andreasen and A. Pugliese, Pathogen coexistence induced by density-dependent host mortality, Journal of Theoretical Biology, 177 (1995), 159-165. Google Scholar

[10]

S. M. Blower and H. B. Gershengorn, A tale of two futures: HIV and antiretroviral therapy in San Francisco, Science, 287 (2000), 650-654. doi: 10.1126/science.287.5453.650.  Google Scholar

[11]

H. J. Bremermann and H. R. Thieme, A competitive exclusion principle for pathogen virulence, Journal of Mathematical Biology, 27 (1989), 179-190. doi: 10.1007/BF00276102.  Google Scholar

[12]

R. S. Cantrell, C. Cosner and V. Hutson, Ecological models, permanence and spatial heterogeneity, Rocky Mountain Journal of Mathematics, 26 (1996), 1-35. doi: 10.1216/rmjm/1181072101.  Google Scholar

[13]

R. S. Cantrell and C. Cosner, Spatial Ecology Via Reaction-Diffusion Equations, Wiley, Chichester, West Sussex, UK, 2003. doi: 10.1002/0470871296.  Google Scholar

[14]

C. Castillo-Chavez, W. Huang and J. Li, Competitive exclusion in gonorrhea models and other sexually transmitted diseases, SIAM Journal on Applied Mathematics, 56 (1996), 494-508. doi: 10.1137/S003613999325419X.  Google Scholar

[15]

C. Castillo-Chavez, W. Huang and J. Li, The effects of females' susceptibility on the coexistence of multiple pathogen strains of sexually transmitted diseases, Journal of Mathematical Biology, 35 (1997), 503-522. doi: 10.1007/s002850050063.  Google Scholar

[16]

K. Deng and Y. Wu, Dynamics of an SIS epidemic reaction-diffusion model,, submitted., ().   Google Scholar

[17]

A. Ghoreishi and R. Logan, Positive solutions of a class of biological models in a heterogeneous environment, Bulletin of the Australian Mathematical Society, 44 (1991), 79-94. doi: 10.1017/S0004972700029488.  Google Scholar

[18]

J. K. Hale, Asymptotic Behavior of Dissipative Systems, American Mathematical Society, Providence, 1988.  Google Scholar

[19]

D. Henry, Geometric Theory of Semilinear Parabolic Equations, Springer-Verlag, New York, 1981.  Google Scholar

[20]

S. Hsu, H. Smith and P. Waltman, Competitive exclusion and coexistence for competitive systems on ordered Banach spaces, Transactions of the American Mathematical Society, 348 (1996), 4083-4094. doi: 10.1090/S0002-9947-96-01724-2.  Google Scholar

[21]

W. Huang, M. Han and K. Liu, Dynamics of an SIS reaction-diffusion epidemic model for disease transmission, Mathematical Biosciences and Engineering, 7 (2010), 51-66. doi: 10.3934/mbe.2010.7.51.  Google Scholar

[22]

V. Hutson, Y. Lou, K. Mischaikow and P. Polacik, Competing species near a degenerate limit, SIAM Journal on Mathematical Analysis, 35 (2003), 453-491. doi: 10.1137/S0036141002402189.  Google Scholar

[23]

V. Hutson, Y. Lou and K. Mischaikow, Convergence in competition models with small diffusion coefficients, Journal of Differential Equations, 211 (2005), 135-161. doi: 10.1016/j.jde.2004.06.003.  Google Scholar

[24]

C. S. Kahane, On the asymptotic behavior of solutions of parabolic equations under homogeneous Neumann boundary conditions, Funkcialaj Ekvacioj, 32 (1989), 191-213.  Google Scholar

[25]

Y. Lou, On the effects of migration and spatial heterogeneity on single and multiple species, Journal of Differential Equations, 223 (2006), 400-426. doi: 10.1016/j.jde.2005.05.010.  Google Scholar

[26]

Y. Lou, S. Martínez and P. Polacik, Loops and branches of coexistence states in a Lotka-Volterra competition model, Journal of Differential Equations, 230 (2006), 720-742. doi: 10.1016/j.jde.2006.04.005.  Google Scholar

[27]

M. Martcheva, A non-autonomous multi-strain SIS epidemic model, Journal of Biological Dynamics, 3 (2009), 235-251. doi: 10.1080/17513750802638712.  Google Scholar

[28]

C. V. Pao, Nonlinear Parabolic and Elliptic Equations, Plenum Press, New York, 1992.  Google Scholar

[29]

R. Peng and S. Liu, Global stability of the steady states of an SIS epidemic reaction-diffusion model, Nonlinear Analysis, 71 (2009), 239-247. doi: 10.1016/j.na.2008.10.043.  Google Scholar

[30]

R. Peng, Asymptotic profiles of the positive steady state for an SIS epidemic reaction-diffusion model. Part I, Journal of Differential Equations, 247 (2009), 1096-1119. doi: 10.1016/j.jde.2009.05.002.  Google Scholar

[31]

R. Peng and X. Zhao, A reaction-diffusion SIS epidemic model in a time-periodic environment, Nonlinearity, 25 (2012), 1451-1471. doi: 10.1088/0951-7715/25/5/1451.  Google Scholar

[32]

R. Peng and F. Yi, Asymptotic profile of the positive steady state for an SIS epidemic reaction-diffusion model: Effects of epidemic risk and population movement, Physica D, 259 (2013), 8-25. doi: 10.1016/j.physd.2013.05.006.  Google Scholar

[33]

N. Tuncer and M. Martcheva, Analytical and numerical approaches to coexistence of strains in a two-strain SIS model with diffusion, Journal of Biological Dynamics, 6 (2012), 406-439. doi: 10.1080/17513758.2011.614697.  Google Scholar

show all references

References:
[1]

A. S. Ackleh and L. J. S. Allen, Competitive exclusion principle for pathogens in an epidemic model with variable population size, Journal of Mathematical Biology, 47 (2003), 153-168. doi: 10.1007/s00285-003-0207-9.  Google Scholar

[2]

A. S. Ackleh and L. J. S. Allen, Competitive exclusion in SIS and SIR epidemic models with total cross immunity and density-dependent host mortality, Discrete and Continuous Dynamical Systems Series B, 5 (2005), 175-188. doi: 10.3934/dcdsb.2005.5.175.  Google Scholar

[3]

A. S. Ackleh and P. Salceanu, Robust uniform persistence and competitive exclusion in a nonautonomous multi-strain SIR epidemic model with disease-induced mortality, Journal of Mathematical Biology, 68 (2014), 453-475. doi: 10.1007/s00285-012-0636-4.  Google Scholar

[4]

N. D. Alikakos, An application of the invariance principle to reaction-diffusion equations, Journal of Differential Equations, 33 (1979), 201-225. doi: 10.1016/0022-0396(79)90088-3.  Google Scholar

[5]

L. J. S. Allen, M. Langlais and C. J. Phillips, The dynamics of two viral infections in a single host population with applications to hantavirus, Mathematical Biosciences, 186 (2003), 191-217. doi: 10.1016/j.mbs.2003.08.002.  Google Scholar

[6]

L. J. S. Allen, B. M. Bolker, Y. Lou and A. L. Nevai, Asymptotic profiles of the steady states for an SIS epidemic patch model, SIAM Journal on Applied Mathematics, 67 (2007), 1283-1309. doi: 10.1137/060672522.  Google Scholar

[7]

L. J. S. Allen, B. M. Bolker, Y. Lou and A. L. Nevai, Asymptotic profiles of the steady states for an SIS epidemic reaction-diffusion model, Discrete and Continuous Dynamical Systems, 21 (2008), 1-20. doi: 10.3934/dcds.2008.21.1.  Google Scholar

[8]

V. Andreasen, J. Lin and S. A. Levin, The dynamics of cocirculating influenza strains conferring partial cross-immunity, Journal Mathematical Biology, 35 (1997), 825-842. doi: 10.1007/s002850050079.  Google Scholar

[9]

V. Andreasen and A. Pugliese, Pathogen coexistence induced by density-dependent host mortality, Journal of Theoretical Biology, 177 (1995), 159-165. Google Scholar

[10]

S. M. Blower and H. B. Gershengorn, A tale of two futures: HIV and antiretroviral therapy in San Francisco, Science, 287 (2000), 650-654. doi: 10.1126/science.287.5453.650.  Google Scholar

[11]

H. J. Bremermann and H. R. Thieme, A competitive exclusion principle for pathogen virulence, Journal of Mathematical Biology, 27 (1989), 179-190. doi: 10.1007/BF00276102.  Google Scholar

[12]

R. S. Cantrell, C. Cosner and V. Hutson, Ecological models, permanence and spatial heterogeneity, Rocky Mountain Journal of Mathematics, 26 (1996), 1-35. doi: 10.1216/rmjm/1181072101.  Google Scholar

[13]

R. S. Cantrell and C. Cosner, Spatial Ecology Via Reaction-Diffusion Equations, Wiley, Chichester, West Sussex, UK, 2003. doi: 10.1002/0470871296.  Google Scholar

[14]

C. Castillo-Chavez, W. Huang and J. Li, Competitive exclusion in gonorrhea models and other sexually transmitted diseases, SIAM Journal on Applied Mathematics, 56 (1996), 494-508. doi: 10.1137/S003613999325419X.  Google Scholar

[15]

C. Castillo-Chavez, W. Huang and J. Li, The effects of females' susceptibility on the coexistence of multiple pathogen strains of sexually transmitted diseases, Journal of Mathematical Biology, 35 (1997), 503-522. doi: 10.1007/s002850050063.  Google Scholar

[16]

K. Deng and Y. Wu, Dynamics of an SIS epidemic reaction-diffusion model,, submitted., ().   Google Scholar

[17]

A. Ghoreishi and R. Logan, Positive solutions of a class of biological models in a heterogeneous environment, Bulletin of the Australian Mathematical Society, 44 (1991), 79-94. doi: 10.1017/S0004972700029488.  Google Scholar

[18]

J. K. Hale, Asymptotic Behavior of Dissipative Systems, American Mathematical Society, Providence, 1988.  Google Scholar

[19]

D. Henry, Geometric Theory of Semilinear Parabolic Equations, Springer-Verlag, New York, 1981.  Google Scholar

[20]

S. Hsu, H. Smith and P. Waltman, Competitive exclusion and coexistence for competitive systems on ordered Banach spaces, Transactions of the American Mathematical Society, 348 (1996), 4083-4094. doi: 10.1090/S0002-9947-96-01724-2.  Google Scholar

[21]

W. Huang, M. Han and K. Liu, Dynamics of an SIS reaction-diffusion epidemic model for disease transmission, Mathematical Biosciences and Engineering, 7 (2010), 51-66. doi: 10.3934/mbe.2010.7.51.  Google Scholar

[22]

V. Hutson, Y. Lou, K. Mischaikow and P. Polacik, Competing species near a degenerate limit, SIAM Journal on Mathematical Analysis, 35 (2003), 453-491. doi: 10.1137/S0036141002402189.  Google Scholar

[23]

V. Hutson, Y. Lou and K. Mischaikow, Convergence in competition models with small diffusion coefficients, Journal of Differential Equations, 211 (2005), 135-161. doi: 10.1016/j.jde.2004.06.003.  Google Scholar

[24]

C. S. Kahane, On the asymptotic behavior of solutions of parabolic equations under homogeneous Neumann boundary conditions, Funkcialaj Ekvacioj, 32 (1989), 191-213.  Google Scholar

[25]

Y. Lou, On the effects of migration and spatial heterogeneity on single and multiple species, Journal of Differential Equations, 223 (2006), 400-426. doi: 10.1016/j.jde.2005.05.010.  Google Scholar

[26]

Y. Lou, S. Martínez and P. Polacik, Loops and branches of coexistence states in a Lotka-Volterra competition model, Journal of Differential Equations, 230 (2006), 720-742. doi: 10.1016/j.jde.2006.04.005.  Google Scholar

[27]

M. Martcheva, A non-autonomous multi-strain SIS epidemic model, Journal of Biological Dynamics, 3 (2009), 235-251. doi: 10.1080/17513750802638712.  Google Scholar

[28]

C. V. Pao, Nonlinear Parabolic and Elliptic Equations, Plenum Press, New York, 1992.  Google Scholar

[29]

R. Peng and S. Liu, Global stability of the steady states of an SIS epidemic reaction-diffusion model, Nonlinear Analysis, 71 (2009), 239-247. doi: 10.1016/j.na.2008.10.043.  Google Scholar

[30]

R. Peng, Asymptotic profiles of the positive steady state for an SIS epidemic reaction-diffusion model. Part I, Journal of Differential Equations, 247 (2009), 1096-1119. doi: 10.1016/j.jde.2009.05.002.  Google Scholar

[31]

R. Peng and X. Zhao, A reaction-diffusion SIS epidemic model in a time-periodic environment, Nonlinearity, 25 (2012), 1451-1471. doi: 10.1088/0951-7715/25/5/1451.  Google Scholar

[32]

R. Peng and F. Yi, Asymptotic profile of the positive steady state for an SIS epidemic reaction-diffusion model: Effects of epidemic risk and population movement, Physica D, 259 (2013), 8-25. doi: 10.1016/j.physd.2013.05.006.  Google Scholar

[33]

N. Tuncer and M. Martcheva, Analytical and numerical approaches to coexistence of strains in a two-strain SIS model with diffusion, Journal of Biological Dynamics, 6 (2012), 406-439. doi: 10.1080/17513758.2011.614697.  Google Scholar

[1]

Kousuke Kuto. Stability and Hopf bifurcation of coexistence steady-states to an SKT model in spatially heterogeneous environment. Discrete & Continuous Dynamical Systems, 2009, 24 (2) : 489-509. doi: 10.3934/dcds.2009.24.489
[2]

Azmy S. Ackleh, Youssef M. Dib, S. R.-J. Jang. Competitive exclusion and coexistence in a nonlinear refuge-mediated selection model. Discrete & Continuous Dynamical Systems - B, 2007, 7 (4) : 683-698. doi: 10.3934/dcdsb.2007.7.683
[3]

Yixiang Wu, Necibe Tuncer, Maia Martcheva. Coexistence and competitive exclusion in an SIS model with standard incidence and diffusion. Discrete & Continuous Dynamical Systems - B, 2017, 22 (3) : 1167-1187. doi: 10.3934/dcdsb.2017057
[4]

Claude-Michel Brauner, Danaelle Jolly, Luca Lorenzi, Rodolphe Thiebaut. Heterogeneous viral environment in a HIV spatial model. Discrete & Continuous Dynamical Systems - B, 2011, 15 (3) : 545-572. doi: 10.3934/dcdsb.2011.15.545
[5]

Hao Wang, Katherine Dunning, James J. Elser, Yang Kuang. Daphnia species invasion, competitive exclusion, and chaotic coexistence. Discrete & Continuous Dynamical Systems - B, 2009, 12 (2) : 481-493. doi: 10.3934/dcdsb.2009.12.481
[6]

Abdelrazig K. Tarboush, Jing Ge, Zhigui Lin. Coexistence of a cross-diffusive West Nile virus model in a heterogenous environment. Mathematical Biosciences & Engineering, 2018, 15 (6) : 1479-1494. doi: 10.3934/mbe.2018068
[7]

M. R. S. Kulenović, Orlando Merino. Competitive-exclusion versus competitive-coexistence for systems in the plane. Discrete & Continuous Dynamical Systems - B, 2006, 6 (5) : 1141-1156. doi: 10.3934/dcdsb.2006.6.1141
[8]

Jing Ge, Ling Lin, Lai Zhang. A diffusive SIS epidemic model incorporating the media coverage impact in the heterogeneous environment. Discrete & Continuous Dynamical Systems - B, 2017, 22 (7) : 2763-2776. doi: 10.3934/dcdsb.2017134
[9]

Yaying Dong, Shanbing Li, Yanling Li. Effects of dispersal for a predator-prey model in a heterogeneous environment. Communications on Pure & Applied Analysis, 2019, 18 (5) : 2511-2528. doi: 10.3934/cpaa.2019114
[10]

Yongli Cai, Weiming Wang. Dynamics of a parasite-host epidemiological model in spatial heterogeneous environment. Discrete & Continuous Dynamical Systems - B, 2015, 20 (4) : 989-1013. doi: 10.3934/dcdsb.2015.20.989
[11]

Chengxia Lei, Fujun Li, Jiang Liu. Theoretical analysis on a diffusive SIR epidemic model with nonlinear incidence in a heterogeneous environment. Discrete & Continuous Dynamical Systems - B, 2018, 23 (10) : 4499-4517. doi: 10.3934/dcdsb.2018173
[12]

Lian Duan, Lihong Huang, Chuangxia Huang. Spatial dynamics of a diffusive SIRI model with distinct dispersal rates and heterogeneous environment. Communications on Pure & Applied Analysis, 2021, 20 (10) : 3523-3544. doi: 10.3934/cpaa.2021120
[13]

Ming Yang, Chulin Li. Valuing investment project in competitive environment. Conference Publications, 2003, 2003 (Special) : 945-950. doi: 10.3934/proc.2003.2003.945
[14]

Hui Cao, Yicang Zhou. The basic reproduction number of discrete SIR and SEIS models with periodic parameters. Discrete & Continuous Dynamical Systems - B, 2013, 18 (1) : 37-56. doi: 10.3934/dcdsb.2013.18.37
[15]

Dan Li, Hui Wan. Coexistence and exclusion of competitive Kolmogorov systems with semi-Markovian switching. Discrete & Continuous Dynamical Systems, 2021, 41 (9) : 4145-4183. doi: 10.3934/dcds.2021032
[16]

Christopher DuBois, Jesse Farnham, Eric Aaron, Ami Radunskaya. A multiple time-scale computational model of a tumor and its micro environment. Mathematical Biosciences & Engineering, 2013, 10 (1) : 121-150. doi: 10.3934/mbe.2013.10.121
[17]

Attila Dénes, Gergely Röst. Single species population dynamics in seasonal environment with short reproduction period. Communications on Pure & Applied Analysis, 2021, 20 (2) : 755-762. doi: 10.3934/cpaa.2020288
[18]

Maryam Esmaeili, Samane Sedehzade. Designing a hub location and pricing network in a competitive environment. Journal of Industrial & Management Optimization, 2020, 16 (2) : 653-667. doi: 10.3934/jimo.2018172
[19]

Chengxia Lei, Jie Xiong, Xinhui Zhou. Qualitative analysis on an SIS epidemic reaction-diffusion model with mass action infection mechanism and spontaneous infection in a heterogeneous environment. Discrete & Continuous Dynamical Systems - B, 2020, 25 (1) : 81-98. doi: 10.3934/dcdsb.2019173
[20]

Danhua Jiang, Zhi-Cheng Wang, Liang Zhang. A reaction-diffusion-advection SIS epidemic model in a spatially-temporally heterogeneous environment. Discrete & Continuous Dynamical Systems - B, 2018, 23 (10) : 4557-4578. doi: 10.3934/dcdsb.2018176

2018 Impact Factor: 1.313

Tools

Metrics

  • PDF downloads (57)
  • HTML views (0)
  • Cited by (5)

Other articles
by authors

[Back to Top]

Copyright © 2021 American Institute of Mathematical Sciences