Loading [Contrib]/a11y/accessibility-menu.js

Multi-host transmission dynamics of schistosomiasis and its optimal control

  • Received: 01 December 2014 Accepted: 29 June 2018 Published: 01 June 2015
  • MSC : Primary: 92B05, 92D30.

  • -->
    In this paper we formulate a dynamical model to study the transmission dynamics of schistosomiasis in humans and snails. We also incorporate bovines in the model to study their impact on transmission and controlling the spread of Schistosoma japonicum in humans in China. The dynamics of the model is rigorously analyzed by using the theory of dynamical systems. The theoretical results show that the disease free equilibrium is globally asymptotically stable if $\mathcal R_0<1 and="" if="" mathcal="" r_0="">1$ the system has only one positive equilibrium. The local stability of the unique positive equilibrium is investigated and sufficient conditions are also provided for the global stability of the positive equilibrium. The optimal control theory are further applied to the model to study the corresponding optimal control problem. Both analytical and numerical results suggest that: (a) the infected bovines play an important role in the spread of schistosomiasis among humans, and killing the infected bovines will be useful to prevent transmission of schistosomiasis among humans; (b) optimal control strategy performs better than the constant controls in reducing the prevalence of the infected human and the cost for implementing optimal control is much less than that for constant controls; and (c) improving the treatment rate of infected humans, the killing rate of the infected bovines and the fishing rate of snails in the early stage of spread of schistosomiasis are very helpful to contain the prevalence of infected human case as well as minimize the total cost.

    Citation: Chunxiao Ding, Zhipeng Qiu, Huaiping Zhu. Multi-host transmission dynamics of schistosomiasis and its optimal control[J]. Mathematical Biosciences and Engineering, 2015, 12(5): 983-1006. doi: 10.3934/mbe.2015.12.983

    Related Papers:

  • In this paper we formulate a dynamical model to study the transmission dynamics of schistosomiasis in humans and snails. We also incorporate bovines in the model to study their impact on transmission and controlling the spread of Schistosoma japonicum in humans in China. The dynamics of the model is rigorously analyzed by using the theory of dynamical systems. The theoretical results show that the disease free equilibrium is globally asymptotically stable if $\mathcal R_0<1 and="" if="" mathcal="" r_0="">1$ the system has only one positive equilibrium. The local stability of the unique positive equilibrium is investigated and sufficient conditions are also provided for the global stability of the positive equilibrium. The optimal control theory are further applied to the model to study the corresponding optimal control problem. Both analytical and numerical results suggest that: (a) the infected bovines play an important role in the spread of schistosomiasis among humans, and killing the infected bovines will be useful to prevent transmission of schistosomiasis among humans; (b) optimal control strategy performs better than the constant controls in reducing the prevalence of the infected human and the cost for implementing optimal control is much less than that for constant controls; and (c) improving the treatment rate of infected humans, the killing rate of the infected bovines and the fishing rate of snails in the early stage of spread of schistosomiasis are very helpful to contain the prevalence of infected human case as well as minimize the total cost.


    [1] Journal of Mathematical Biology, 68 (2014), 1553-1582.
    [2] PloS One, 3 (2008), e2230. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0002230
    [3] Bulletin of Mathematical Biology, 72 (2010), 1006-1028.
    [4] Mathematical Population Dynamics: Analysis of Heterogeneity, 1 (1995), 33-50. http://www.researchgate.net/publication/221674057_Asymptotically_autonomous_epidemic_models
    [5] Mathematical Biosciences, 177 (2002), 271-286.
    [6] Mathematical Biosciences, 245 (2013), 171-187.
    [7] Emerging Infectious Diseases, 11 (2005), 1815-1821. http://wwwnc.cdc.gov/eid/article/11/12/05-0306_article
    [8] Springer, 1975. http://cds.cern.ch/record/1611958
    [9] PLoS One, 3 (2008), e4058. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0004058
    [10] Science, 326 (2009), 1362-1367, http://www.sciencemag.org/content/326/5958/1362.short
    [11] Interscience Publishers John Wiley and Sons, Inc., New York-London, 1962.
    [12] Journal of Theoretical Biology, 258 (2009), 418-425. http://www.sciencedirect.com/science/article/pii/S0022519308004190
    [13] PLoS Medicine, 5 (2008), e18. http://dx.plos.org/10.1371/journal.pmed.0050018
    [14] Proceedings of the National Academy of Sciences, 110 (2013), 11457-11462. http://www.pnas.org/content/110/28/11457.short
    [15] Bulletin of Mathematical Biology, 76 (2014), 1194-1217.
    [16] Nonlinear Analysis: Theory, Methods and Applications, 10 (1986), 1037-1052. http://www.sciencedirect.com/science/article/pii/0362546X86900878
    [17] Proceedings of the American Mathematical Society, 127 (1999), 447-453.
    [18] Mathematical Biosciences, 180 (2002), 29-48.
    [19] Mathematical Biosciences, 190 (2004), 97-112.
    [20] "http://www.who.int/features/factfiles/schistosomiasis/en/." target="_blank">http://www.who.int/features/factfiles/schistosomiasis/en/.
    [21] Acta Tropica, 50 (1992), 189-204. http://www.sciencedirect.com/science/article/pii/0001706X9290076A
    [22] Parasitology International, 62 (2013), 118-126. http://www.sciencedirect.com/science/article/pii/S1383576912001341
    [23] Mathematical Biosciences, 205 (2007), 83-107.
    [24] Bulletin of Mathematical Biology, 70 (2008), 1886-1905.
    [25] Parasit Vectors, 5 (2012), 257-275. http://www.biomedcentral.com/content/pdf/1756-3305-5-275.pdf
  • This article has been cited by:

    1. Chunxiao Ding, Yun Sun, Yuanguo Zhu, A schistosomiasis compartment model with incubation and its optimal control, 2017, 40, 01704214, 5079, 10.1002/mma.4372
    2. Chunxiao Ding, Nana Tao, Yun Sun, Yuanguo Zhu, The effect of time delays on transmission dynamics of schistosomiasis, 2016, 91, 09600779, 360, 10.1016/j.chaos.2016.06.017
    3. Chunxiao Ding, Wenjian Liu, Yun Sun, Yuanguo Zhu, A delayed Schistosomiasis transmission model and its dynamics, 2019, 118, 09600779, 18, 10.1016/j.chaos.2018.11.005
    4. Tailei Zhang, Xiao-Qiang Zhao, Mathematical Modeling for Schistosomiasis with Seasonal Influence: A Case Study in Hubei, China, 2020, 19, 1536-0040, 1438, 10.1137/19M1280259
    5. M. A. Aziz-Alaoui, Jean M.-S. Lubuma, Berge Tsanou, Prevalence-based modeling approach of schistosomiasis: global stability analysis and integrated control assessment, 2021, 40, 2238-3603, 10.1007/s40314-021-01414-9
    6. François M. Castonguay, Susanne H. Sokolow, Giulio A. De Leo, James N. Sanchirico, Cost-effectiveness of combining drug and environmental treatments for environmentally transmitted diseases, 2020, 287, 0962-8452, 20200966, 10.1098/rspb.2020.0966
    7. Chunxiao Ding, Yun Sun, Yuanguo Zhu, A NN-Based Hybrid Intelligent Algorithm for a Discrete Nonlinear Uncertain Optimal Control Problem, 2017, 45, 1370-4621, 457, 10.1007/s11063-016-9536-8
    8. Xi-Chao Duan, I Hyo Jung, Xue-Zhi Li, Maia Martcheva, Dynamics and optimal control of an age-structured SIRVS epidemic model, 2020, 43, 01704214, 4239, 10.1002/mma.6190
    9. Zhipeng Qiu, Xuerui Wei, Chunhua Shan, Huaiping Zhu, Monotone dynamics and global behaviors of a West Nile virus model with mosquito demographics, 2020, 80, 0303-6812, 809, 10.1007/s00285-019-01442-4
    10. Tao Feng, Zhipeng Qiu, Yi Song, Global analysis of a vector-host epidemic model in stochastic environments, 2019, 356, 00160032, 2885, 10.1016/j.jfranklin.2019.01.033
    11. Yujiang Liu, Shujing Gao, Zhenzhen Liao, Di Chen, Dynamical behavior of a stage-structured Huanglongbing model with time delays and optimal control, 2022, 156, 09600779, 111830, 10.1016/j.chaos.2022.111830
    12. S. KADALEKA, S. ABELMAN, P. M. MWAMTOBE, J. M. TCHUENCHE, OPTIMAL CONTROL ANALYSIS OF A HUMAN–BOVINE SCHISTOSOMIASIS MODEL, 2021, 29, 0218-3390, 1, 10.1142/S0218339021500017
    13. Linghui Yu, Zhipeng Qiu, Ting Guo, Modeling the effect of activation of CD4$^+$ T cells on HIV dynamics, 2022, 27, 1531-3492, 4491, 10.3934/dcdsb.2021238
    14. Chinwendu E. Madubueze, Z. Chazuka, I. O. Onwubuya, F. Fatmawati, C. W. Chukwu, On the mathematical modeling of schistosomiasis transmission dynamics with heterogeneous intermediate host, 2022, 8, 2297-4687, 10.3389/fams.2022.1020161
    15. Lei Shi, Longxing Qi, Dynamic analysis and optimal control of a class of SISP respiratory diseases, 2022, 16, 1751-3758, 64, 10.1080/17513758.2022.2027529
    16. Wei Wang, Robert Bergquist, Charles H. King, Kun Yang, Joanne P. Webster, Elimination of schistosomiasis in China: Current status and future prospects, 2021, 15, 1935-2735, e0009578, 10.1371/journal.pntd.0009578
    17. Liming Cai, Peixia Yue, Mini Ghosh, Xuezhi Li, Assessing the impact of agrochemicals on schistosomiasis transmission: A mathematical study, 2021, 14, 1793-5245, 10.1142/S1793524521500492
    18. Solomon Kadaleka, Shirley Abelman, Jean M. Tchuenche, A Human-Bovine Schistosomiasis Mathematical Model with Treatment and Mollusciciding, 2021, 69, 0001-5342, 511, 10.1007/s10441-021-09416-0
    19. Tailei Zhang, Xiao-Qiang Zhao, A multi-host schistosomiasis model with seasonality and time-dependent delays, 2023, 28, 1531-3492, 2927, 10.3934/dcdsb.2022198
    20. Xinjie Hao, Lin Hu, Linfei Nie, Stability and Global Hopf Bifurcation Analysis of a Schistosomiasis Transmission Model with Multi-Delays, 2025, 35, 0218-1274, 10.1142/S0218127425500397
    21. Lele Fan, Zhipeng Qiu, Qi Deng, Ting Guo, Libin Rong, Modeling SARS-CoV-2 Infection Dynamics: Insights into Viral Clearance and Immune Synergy, 2025, 87, 0092-8240, 10.1007/s11538-025-01442-0
    22. Yan Zhao, Qi Deng, Zhipeng Qiu, Ting Guo, Shigui Ruan, Modeling the Interaction of Cytotoxic T-Lymphocytes and Oncolytic Viruses in a Tumor Microenvironment, 2025, 85, 0036-1399, 983, 10.1137/23M1613608
  • Reader Comments
  • © 2015 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(2974) PDF downloads(599) Cited by(22)

Article outline

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog