Bifurcation and Sensitivity Analysis of Malaria–Schistosomiasis Co-infection Model

被引:0
|
作者
Bakare E.A. [1 ]
Nwozo C.R. [2 ]
机构
[1] Department of Mathematics, Federal University Oye Ekiti, Oye Ekiti, Ekiti State
[2] Department of Mathematics, University of Ibadan, Ibadan
关键词
Centre manifold theory; Co-infection; Malaria–schistosomiasis; Sensitivity analysis;
D O I
10.1007/s40819-017-0394-5
中图分类号
学科分类号
摘要
Malaria–schistosomiasis co-infection have major impacts on the host immune response and co-infection is extensive. Mathematical models of malaria–schistosomiasis co-infection are not common in literature. A mathematical model to describe the co-interaction between malaria and schistosomiasis was formulated as a system of nonlinear ordinary differential equations. Qualitative and comprehensive mathematical techniques were applied to analyse the model. The basic reproduction number was computed using the next generation matrix method, while the centre manifold theory was used to show that the malaria–schistosomiasis endemic equilibrium is locally asymptotically stable when the associated reproduction numbers are greater than unity. Sensitivity analysis was further carried out to investigate the impact of the model parameters on the transmission and spread of the diseases. As a parameter of the co-infection model was varied, the stability of the equilibrium point changed and this suggested the possibility of a forward bifurcation at R M S = 1. This has a great implication for public health and control measures. Numerical simulations were performed to verify our theoretical findings. © 2017, Springer (India) Private Ltd.
引用
收藏
页码:971 / 1000
页数:29
相关论文
共 50 条
  • [31] The effect of helminth co-infection on malaria in mice: A meta-analysis
    Knowles, Sarah C. L.
    INTERNATIONAL JOURNAL FOR PARASITOLOGY, 2011, 41 (10) : 1041 - 1051
  • [32] Co-infection of malaria with HIV:: an immunological perspective
    Renia, L.
    Potter, S. M.
    PARASITE IMMUNOLOGY, 2006, 28 (11) : 589 - 595
  • [33] Clinical manifestations of co-infection with malaria and leptospirosis
    Gurjar, Mohan
    Saigal, Saurabh
    Baronia, Arvind K.
    Azim, Afzal
    Poddar, Banani
    Singh, Ratender K.
    TROPICAL DOCTOR, 2011, 41 (03) : 175 - 178
  • [34] Multiple infection leads to backward bifurcation for a schistosomiasis model
    Qi, Longxing
    Tian, Shoujing
    Cui, Jing-an
    Wang, Tianping
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2019, 16 (02) : 701 - 712
  • [35] An In Vitro Model for Measuring Immune Responses to Malaria in the Context of HIV Co-infection
    Finney, Constance
    Serghides, Lena
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2015, (104):
  • [36] A co-infection model for two-strain Malaria and Cholera with optimal control
    Egeonu, K. U.
    Omame, A.
    Inyama, S. C.
    INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL, 2021, 9 (04) : 1612 - 1632
  • [37] Evaluation of the. impact of helminth co-infection on malaria transmission in a murine model
    Noland, Gregory S.
    Morrot, Alexandre
    Fried, Bernard
    Graczyk, Thaddeus K.
    Zavala, Fidel
    Kumar, Nirbhay
    AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2005, 73 (06): : 106 - 106
  • [38] A co-infection model for two-strain Malaria and Cholera with optimal control
    K. U. Egeonu
    A. Omame
    S. C. Inyama
    International Journal of Dynamics and Control, 2021, 9 : 1612 - 1632
  • [39] Analysis of a co-infection model for HPV-TB
    Omame, A.
    Okuonghae, D.
    Umana, R. A.
    Inyama, S. C.
    APPLIED MATHEMATICAL MODELLING, 2020, 77 : 881 - 901
  • [40] DYNAMICAL ANALYSIS OF CHIKUNGUNYA AND DENGUE CO-INFECTION MODEL
    Musa, Salihu Sabiu
    Hussaini, Nafiu
    Zhao, Shi
    He, Daihai
    DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2020, 25 (05): : 1907 - 1933