Spatial spread of sexually transmitted diseases within susceptible populations at demographic steady state

  • Received: 01 December 2007 Accepted: 29 June 2018 Published: 01 October 2008
  • MSC : Primary: 92D40, 92D25; Secondary: 35K55, 35K57

  • In this study, we expand on the susceptible-infected-susceptible (SIS) heterosexual mixing setting by including the movement of individuals of both genders in a spatial domain in order to more comprehensively address the transmission dynamics of competing strains of sexually-transmitted pathogens. In prior models, these transmission dynamics have only been studied in the context of nonexplicitly mobile heterosexually active populations at the demographic steady state, or, explicitly in the simplest context of SIS frameworks whose limiting systems are order preserving. We introduce reaction-diffusion equations to study the dynamics of sexually-transmitted diseases (STDs) in spatially mobile heterosexually active populations. To accomplish this, we study a single-strain STD model, and discuss in what forms and at what speed the disease spreads to noninfected regions as it expands its spatial range. The dynamics of two competing distinct strains of the same pathogen on this population are then considered. The focus is on the investigation of the spatial transition dynamics between the two endemic equilibria supported by the nonspatial corresponding model. We establish conditions for the successful invasion of a population living in endemic conditions by introducing a strain with higher fitness. It is shown that there exists a unique spreading speed (where the spreading speed is characterized as the slowest speed of a class of traveling waves connecting two endemic equilibria) at which the infectious population carrying the invading stronger strain spreads into the space where an equilibrium distribution has been established by the population with the weaker strain. Finally, we give sufficient conditions under which an explicit formula for the spreading speed can be found.

    Citation: Carlos Castillo-Chavez, Bingtuan Li. Spatial spread of sexually transmitted diseases within susceptible populations at demographic steady state[J]. Mathematical Biosciences and Engineering, 2008, 5(4): 713-727. doi: 10.3934/mbe.2008.5.713

    Related Papers:

    [1] Eliza Bánhegyi, Attila Dénes, János Karsai, László Székely . The effect of the needle exchange program on the spread of some sexually transmitted diseases. Mathematical Biosciences and Engineering, 2019, 16(5): 4506-4525. doi: 10.3934/mbe.2019225
    [2] Stephen A. Gourley, Xiulan Lai, Junping Shi, Wendi Wang, Yanyu Xiao, Xingfu Zou . Role of white-tailed deer in geographic spread of the black-legged tick Ixodes scapularis : Analysis of a spatially nonlocal model. Mathematical Biosciences and Engineering, 2018, 15(4): 1033-1054. doi: 10.3934/mbe.2018046
    [3] Wenhao Chen, Guo Lin, Shuxia Pan . Propagation dynamics in an SIRS model with general incidence functions. Mathematical Biosciences and Engineering, 2023, 20(4): 6751-6775. doi: 10.3934/mbe.2023291
    [4] Maoxing Liu, Yuming Chen . An SIRS model with differential susceptibility and infectivity on uncorrelated networks. Mathematical Biosciences and Engineering, 2015, 12(3): 415-429. doi: 10.3934/mbe.2015.12.415
    [5] Jordy Jose Cevallos-Chavez, Fabio Augustu Milner . The impact of partner selection in the transmission dynamics of sexually transmitted viral infections. Mathematical Biosciences and Engineering, 2025, 22(6): 1399-1427. doi: 10.3934/mbe.2025053
    [6] Daniel Maxin, Fabio Augusto Milner . The effect of nonreproductive groups on persistent sexually transmitted diseases. Mathematical Biosciences and Engineering, 2007, 4(3): 505-522. doi: 10.3934/mbe.2007.4.505
    [7] Andrew Omame, Sarafa A. Iyaniwura, Qing Han, Adeniyi Ebenezer, Nicola L. Bragazzi, Xiaoying Wang, Woldegebriel A. Woldegerima, Jude D. Kong . Dynamics of Mpox in an HIV endemic community: A mathematical modelling approach. Mathematical Biosciences and Engineering, 2025, 22(2): 225-259. doi: 10.3934/mbe.2025010
    [8] Guo Lin, Shuxia Pan, Xiang-Ping Yan . Spreading speeds of epidemic models with nonlocal delays. Mathematical Biosciences and Engineering, 2019, 16(6): 7562-7588. doi: 10.3934/mbe.2019380
    [9] Oscar Patterson-Lomba, Muntaser Safan, Sherry Towers, Jay Taylor . Modeling the role of healthcare access inequalities in epidemic outcomes. Mathematical Biosciences and Engineering, 2016, 13(5): 1011-1041. doi: 10.3934/mbe.2016028
    [10] Haiyan Wang, Shiliang Wu . Spatial dynamics for a model of epidermal wound healing. Mathematical Biosciences and Engineering, 2014, 11(5): 1215-1227. doi: 10.3934/mbe.2014.11.1215
  • In this study, we expand on the susceptible-infected-susceptible (SIS) heterosexual mixing setting by including the movement of individuals of both genders in a spatial domain in order to more comprehensively address the transmission dynamics of competing strains of sexually-transmitted pathogens. In prior models, these transmission dynamics have only been studied in the context of nonexplicitly mobile heterosexually active populations at the demographic steady state, or, explicitly in the simplest context of SIS frameworks whose limiting systems are order preserving. We introduce reaction-diffusion equations to study the dynamics of sexually-transmitted diseases (STDs) in spatially mobile heterosexually active populations. To accomplish this, we study a single-strain STD model, and discuss in what forms and at what speed the disease spreads to noninfected regions as it expands its spatial range. The dynamics of two competing distinct strains of the same pathogen on this population are then considered. The focus is on the investigation of the spatial transition dynamics between the two endemic equilibria supported by the nonspatial corresponding model. We establish conditions for the successful invasion of a population living in endemic conditions by introducing a strain with higher fitness. It is shown that there exists a unique spreading speed (where the spreading speed is characterized as the slowest speed of a class of traveling waves connecting two endemic equilibria) at which the infectious population carrying the invading stronger strain spreads into the space where an equilibrium distribution has been established by the population with the weaker strain. Finally, we give sufficient conditions under which an explicit formula for the spreading speed can be found.


  • This article has been cited by:

    1. Jonathan James Ryder, Daria Pastok, Mary-Jo Hoare, Michael J. Bottery, Michael Boots, Robert K. Knell, David Atkinson, Gregory D.D. Hurst, Spatial variation in food supply, mating behavior, and sexually transmitted disease epidemics, 2013, 24, 1465-7279, 723, 10.1093/beheco/ars209
    2. K. E. Yong, E. Díaz Herrera, C. Castillo-Chavez, 2016, Chapter 11, 978-3-319-40411-0, 169, 10.1007/978-3-319-40413-4_11
    3. Baojun Song, Zhilan Feng, Gerardo Chowell, From the guest editors, 2013, 10, 1551-0018, 10.3934/mbe.2013.10.5i
    4. A. K. MISRA, MILAN TIWARI, ANUPAMA SHARMA, SPATIO-TEMPORAL PATTERNS IN A CHOLERA TRANSMISSION MODEL, 2015, 23, 0218-3390, 471, 10.1142/S0218339015500242
  • Reader Comments
  • © 2008 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)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2775) PDF downloads(430) Cited by(4)

Article outline

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog