| Peer-Reviewed

Mathematical Modelling of the Co-Infection Dynamics of Typhoid Fever with Plasmodium Vivax and Plasmodium Falciparum with Treatment

Received: 26 December 2021    Accepted: 15 January 2022    Published: 24 January 2022
Views:       Downloads:
Abstract

Malaria and typhoid fever are infectious and communicable diseases. Malaria remains one of the largest killer diseases in the world caused by one or more species of plasmodium parasites. Typhoid fever, also known as enteric fever, is a systemic bacterial infection disease caused by a highly virulent and invasive Salmonella enterica serovar Typhi (S. Typhi). Malaria and typhoid fever co-infection is the most endemic disease and a major public health problem in many tropical developing countries. Both diseases share similar transmission factor and often have the similar symptom. Because of the high prevalence of malaria and typhoid fever in these developing countries, co-infections are common. In addition to true co-infection of malaria and typhoid fever, the major challenges on managing controlling these diseases are false diagnoses due to similar signs and symptoms and false positive results in testing methods. In this study, we have formulated a mathematical model based on a system of non-linear first order ordinary differential equations to study the dynamics of the co-infection dynamics of plasmodium vivax- typhoid fever and plasmodium falciparum -typhoid fever. We have proved the existence of the disease free and endemic equilibrium points of the model and we used a non-linear stability analysis method to prove the local and global stabilities of these equilibrium points. Further, the positivity and boundedness of the solution of the model developed is verified to discover that the model equation is mathematically and epidemiologically well posed. We obtained the basic reproduction number R0 for the co-infection dynamics of plasmodium vivax, plasmodium falciparum and typhoid fever diseases in terms of the three basic reproduction numbers of the separate diseases using the standard data obtained from different sources. The separate diseases disappear from the community whenever the reproduction number R0 is very small and less than unity. On the other hand, the diseases co-exist whenever their reproduction numbers exceed unity (regardless which of the numbers is larger). The sensitivity analysis is discussed in detail to identify the most influential parameters that enhance the co-infection of malaria and typhoid fever disease in a given population. Numerical simulation is also done to illustrate the influence of different parameters on the basic reproduction number.

Published in Mathematical Modelling and Applications (Volume 7, Issue 1)
DOI 10.11648/j.mma.20220701.11
Page(s) 1-25
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Infectious Disease, Typhoid Fever, Malaria, Plasmodium Falciparum, Plasmodium Vivax, Co-infection

References
[1] Akinyi, O. C., Mugisha, J. Y. T., Manyonge, A., Ouma, C. and Maseno, K., 2015. A model on the impact of treating typhoid with antimalarial: Dynamics of malaria concurrent and co infection with typhoid. International Journal of Mathematical Analysis, 9 (9-12), pp. 541-551.
[2] Alelign, A. and Dejene, T., 2016. Current status of malaria in Ethiopia: evaluation of the burden, factors for transmission and prevention methods. Acta Parasitologica Globalis, 7 (1), pp. 01-6.
[3] Assefa, A., Ahmed, A. A., Deressa, W., Sime, H., Mohammed, H., Kebede, A., Solomon, H., Teka, H., Gurrala, K., Matei, B. and Wakeman, B., 2019. Multiplex serology demonstrate cumulative prevalence and spatial distribution of malaria in Ethiopia. Malaria journal, 18 (1), p. 246.
[4] Bakary, T., Boureima, S. and Sado, T., 2018. A mathematical model of malaria transmission in a periodic environment. Journal of biological dynamics, 12 (1), pp. 400-432.
[5] Birhanie, M., Tessema, B., Ferede, G., Endris, M. and Enawgaw, B., 2014. Malaria, typhoid fever, and their coinfection among febrile patients at a rural health center in Northwest Ethiopia: a cross-sectional study. Advances in medicine, 2014.
[6] Edward, S. and Nyerere, N., 2016. Modelling typhoid fever with education, vaccination and treatment. Eng. Math, 1 (1), pp. 44-52.
[7] Edward, S., 2017. A Deterministic Mathematical Model for Direct and Indirect Transmission Dynamics of Typhoid Fever. Open Access Library Journal, 4 (05), p. 1.
[8] Habte, L., Tadesse, E., Ferede, G. and Amsalu, A., 2018. Typhoid fever: clinical presentation and associated factors in febrile patients visiting Shashemene Referral Hospital, southern Ethiopia. BMC research notes, 11 (1), p. 605.
[9] Igwe M, Lynn M, Attahiru A, Seth GL, Maryam G, Florence S and Abdullfattah NS (2017). Prevalence of Malaria and Typhoid Co-Infections among Patients who Attended State Specialist Hospital Gombe from May to August 2015 for Malaria and Widal Tests. Greener Journal of Epidemiology and Public Health, 5 (5): 037-043, http://doi.org/10.15580/GJEPH.2017.5.080817103.
[10] Mohammed, H. I., Mukhtar, I. M. and Sadiq, H. A., 2020. Malaria and Typhoid Fever: Prevalence, Co-Infection and Socio-Demographic Determinants among Pregnant Women Attending Antenatal Care at a Primary Healthcare Facility in Central Nigeria. International Journal of Pathogen Research, pp. 17-24.
[11] Kgosimore, M. O. A. T. L. H. O. D. I. and Kelatlhegile, G. R., 2016. Mathematical analysis of typhoid infection with treatment. J. Math. Sci. Adv. Appl, 40, pp. 75-91.
[12] Khan, M. A., Parvez, M., Islam, S., Khan, I., Shafie, S. and Gul, T., 2015. Mathematical analysis of typhoid model with saturated incidence rate. Advanced Studies in Biology, 7 (2), pp. 65-78.
[13] Koutou, O., Traoré, B. and Sangaré, B., 2018. Mathematical model of malaria transmission dynamics with distributed delay and a wide class of nonlinear incidence rates. Cogent Mathematics & Statistics, 5 (1), p. 1564531.
[14] Koutou, O., Traoré, B. and Sangaré, B., 2018. Mathematical modeling of malaria transmission global dynamics: Taking into account the immature stages of the vectors. Advances in Difference Equations, 2018 (1), p. 220.
[15] Lutambi, A. M., 2013. Mathematical modelling of mosquito dispersal for malaria vector control (Doctoral dissertation, University_of_Basel).
[16] Maia Martcheva, Texts in Applied Mathematics, Volume 61: An Introduction to Mathematical Epidemiology.
[17] Mojeeb, A. L. and Adu, I. K., 2017. Simple Mathematical Model for Malaria Transmission. Journal of Advances in Mathematics and Computer Science, pp. 1-24.
[18] Mukandavire, Z., Gumel, A. B., Garira, W. and Tchuenche, J. M., 2009. Mathematical analysis of a model for HIV-malaria co-infection. Mathematical Biosciences & Engineering, 6 (2), p. 333.
[19] Mushayabasa, S., Bhunu, C. P. and Mhlanga, N. A., 2014. Modeling the Transmission Dynamics of Typhoid in Malaria Endemic Settings. Applications & Applied Mathematics, 9 (1).
[20] Mutua, J. M., Barker, C. T. and Vaidya, N. K., 2017. Modeling impacts of socioeconomic status and vaccination programs on typhoid fever epidemics. ELECTRONIC JOURNAL OF DIFFERENTIAL EQUATIONS, pp. 63-74.
[21] Mutua, J. M., Wang, F. B. and Vaidya, N. K., 2015. Modeling malaria and typhoid fever coinfection dynamics. Mathematical biosciences, 264, pp. 128-144.
[22] Nthiiri, J. K., Lawi, G. O., Akinyi, C. O., Oganga, D. O., Muriuki, W. C., Musyoka, M. J., Otieno, P. O. and Koech, L., 2016. Mathematical modelling of typhoid fever diseaseincorporating protection against infection. Journal of Advances in Mathematics and Computer Science, pp. 1-10.
[23] Nusrat Yasin et al, 2018. A review: Typhoid fever. J Bacteriol Infec Dis 2018 Volume 2 Issue 3.
[24] Lendzele, S. S., Abdoulmoumini, M. and Abdoulaye, M., 2017. Typhoid, malaria and their concurrent infections in Fondonera, West Region of Cameroon. J Vet Sci Med Diagn 6, 3, p. 2.
[25] Omoya, F. O., 2017. Co-Infection of Malaria and Typhoid Fever among Pregnant Women Attending Primary Health Care Centre, Ojo Local Government, Lagos, Nigeria. Health Science Journal, 11 (2), p. 1.
[26] Orok, D. A., Usang, A. I., Ikpan, O. O., Duke, E. E., Eyo, E. E., Edadi, U. E., Ati, B. U. and Udida, J. A., 2016. Prevalence of malaria and typhoid fever co-infection among febrile patients attending college of health technology medical Centre in Calabar, cross river state, Nigeria. Int. J. Curr Microbiol App Sci, 5 (4), pp. 825-35.
[27] Peter, O. J., Ibrahim, M. O., Oguntolu, F. A., Akinduko, O. B. and Akinyemi, S. T., 2018. Direct and indirect transmission dynamics of typhoid fever model by differential transform method. ATBU, Journal of Science, Technology and Education (JOSTE), 6 (1), pp. 167-177.
[28] Qureshi, A. W., Khan, Z. U., Khan, L., Mansoor, A. and Minhas, R., 2019. Prevalence of malaria, typhoid and co-infection in District DIR (lower), Pakistan. Bioscience Journal, 35 (1).
[29] Rahman, S. M., 2016. Study of infectious diseases by mathematical models: Predictions and controls.
[30] Rufai, T. A. N. K. O., 2017. Malaria And Typhoid Fever Co-Infection: A Study Among Patients Presenting With Febrile Illnesses In The Ga West Municipal Hospital, Amasaman (Doctoral dissertation, University of Ghana).
[31] Sattar, A. A., Jhora, S. T., Yusuf, M. A., Islam, M. B., Islam, M. S. and Roy, S., 2012. Epidemiology and clinical features of typhoid fever: burden in Bangladesh. Journal of Science Foundation, 10 (1), pp. 38-49.
[32] Shiferaw, M., Alemu, M., Tedla, K., Tadesse, D., Bayissa, S. and Bugssa, G., 2018. The Prevalence of Malaria in Tselemti Wereda, North Ethiopia: A Retrospective Study. Ethiopian journal of health sciences, 28 (5).
[33] Tabo, Z., Luboobi, L. S. and Ssebuliba, J., 2017. Mathematical modelling of the in-host dynamics of malaria and the effects of treatment. Journal of Mathematics and Computer Science, 17 (1), pp. 1-21.
[34] Taffese, H. S., Hemming-Schroeder, E., Koepfli, C., Tesfaye, G., Lee, M. C., Kazura, J., Yan, G. Y. and Zhou, G. F., 2018. Malaria epidemiology and interventions in Ethiopia from 2001 to 2016. Infectious diseases of poverty, 7 (1), pp. 1-9.
[35] Tilahun, G. T., 2018. Mathematical Model for Co-infection of Pneumonia and Typhoid Fever Disease with Optimal Control (Doctoral dissertation, JKUAT).
[36] Traoré, B., Sangaré, B. and Traoré, S., 2017. A mathematical model of malaria transmission with structured vector population and seasonality. Journal of Applied Mathematics, 2017.
[37] Odikamnoro, O. O., Ikeh, I. M., Okoh, F. N., Ebiriekwe, S. C., Nnadozie, I. A., Nkwuda, J. O. and Asobie, G. C., 2018. incidence of malaria/typhoid co-infection among adult population in Unwana community, Afikpo North Local Government Area, Ebonyi State, Southeastern Nigeria. African journal of infectious diseases, 12 (1), pp. 33-38.
[38] Vicki Symington, 2012. MALARIA: AGLOBALCHALLENGE.www.microbiologyonline.org.uk.
[39] Wedajo, A. J., Bole, B. K. and Koya, P. R., 2018. Analysis of SIR mathematical model for malaria disease with the inclusion of infected immigrants. IOSR Journal of Mathematics, 14, pp. 10-21.
Cite This Article
  • APA Style

    Zeleke Amare Workie, Purnachandra Rao Koya. (2022). Mathematical Modelling of the Co-Infection Dynamics of Typhoid Fever with Plasmodium Vivax and Plasmodium Falciparum with Treatment. Mathematical Modelling and Applications, 7(1), 1-25. https://doi.org/10.11648/j.mma.20220701.11

    Copy | Download

    ACS Style

    Zeleke Amare Workie; Purnachandra Rao Koya. Mathematical Modelling of the Co-Infection Dynamics of Typhoid Fever with Plasmodium Vivax and Plasmodium Falciparum with Treatment. Math. Model. Appl. 2022, 7(1), 1-25. doi: 10.11648/j.mma.20220701.11

    Copy | Download

    AMA Style

    Zeleke Amare Workie, Purnachandra Rao Koya. Mathematical Modelling of the Co-Infection Dynamics of Typhoid Fever with Plasmodium Vivax and Plasmodium Falciparum with Treatment. Math Model Appl. 2022;7(1):1-25. doi: 10.11648/j.mma.20220701.11

    Copy | Download

  • @article{10.11648/j.mma.20220701.11,
      author = {Zeleke Amare Workie and Purnachandra Rao Koya},
      title = {Mathematical Modelling of the Co-Infection Dynamics of Typhoid Fever with Plasmodium Vivax and Plasmodium Falciparum with Treatment},
      journal = {Mathematical Modelling and Applications},
      volume = {7},
      number = {1},
      pages = {1-25},
      doi = {10.11648/j.mma.20220701.11},
      url = {https://doi.org/10.11648/j.mma.20220701.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mma.20220701.11},
      abstract = {Malaria and typhoid fever are infectious and communicable diseases. Malaria remains one of the largest killer diseases in the world caused by one or more species of plasmodium parasites. Typhoid fever, also known as enteric fever, is a systemic bacterial infection disease caused by a highly virulent and invasive Salmonella enterica serovar Typhi (S. Typhi). Malaria and typhoid fever co-infection is the most endemic disease and a major public health problem in many tropical developing countries. Both diseases share similar transmission factor and often have the similar symptom. Because of the high prevalence of malaria and typhoid fever in these developing countries, co-infections are common. In addition to true co-infection of malaria and typhoid fever, the major challenges on managing controlling these diseases are false diagnoses due to similar signs and symptoms and false positive results in testing methods. In this study, we have formulated a mathematical model based on a system of non-linear first order ordinary differential equations to study the dynamics of the co-infection dynamics of plasmodium vivax- typhoid fever and plasmodium falciparum -typhoid fever. We have proved the existence of the disease free and endemic equilibrium points of the model and we used a non-linear stability analysis method to prove the local and global stabilities of these equilibrium points. Further, the positivity and boundedness of the solution of the model developed is verified to discover that the model equation is mathematically and epidemiologically well posed. We obtained the basic reproduction number R0 for the co-infection dynamics of plasmodium vivax, plasmodium falciparum and typhoid fever diseases in terms of the three basic reproduction numbers of the separate diseases using the standard data obtained from different sources. The separate diseases disappear from the community whenever the reproduction number R0 is very small and less than unity. On the other hand, the diseases co-exist whenever their reproduction numbers exceed unity (regardless which of the numbers is larger). The sensitivity analysis is discussed in detail to identify the most influential parameters that enhance the co-infection of malaria and typhoid fever disease in a given population. Numerical simulation is also done to illustrate the influence of different parameters on the basic reproduction number.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Mathematical Modelling of the Co-Infection Dynamics of Typhoid Fever with Plasmodium Vivax and Plasmodium Falciparum with Treatment
    AU  - Zeleke Amare Workie
    AU  - Purnachandra Rao Koya
    Y1  - 2022/01/24
    PY  - 2022
    N1  - https://doi.org/10.11648/j.mma.20220701.11
    DO  - 10.11648/j.mma.20220701.11
    T2  - Mathematical Modelling and Applications
    JF  - Mathematical Modelling and Applications
    JO  - Mathematical Modelling and Applications
    SP  - 1
    EP  - 25
    PB  - Science Publishing Group
    SN  - 2575-1794
    UR  - https://doi.org/10.11648/j.mma.20220701.11
    AB  - Malaria and typhoid fever are infectious and communicable diseases. Malaria remains one of the largest killer diseases in the world caused by one or more species of plasmodium parasites. Typhoid fever, also known as enteric fever, is a systemic bacterial infection disease caused by a highly virulent and invasive Salmonella enterica serovar Typhi (S. Typhi). Malaria and typhoid fever co-infection is the most endemic disease and a major public health problem in many tropical developing countries. Both diseases share similar transmission factor and often have the similar symptom. Because of the high prevalence of malaria and typhoid fever in these developing countries, co-infections are common. In addition to true co-infection of malaria and typhoid fever, the major challenges on managing controlling these diseases are false diagnoses due to similar signs and symptoms and false positive results in testing methods. In this study, we have formulated a mathematical model based on a system of non-linear first order ordinary differential equations to study the dynamics of the co-infection dynamics of plasmodium vivax- typhoid fever and plasmodium falciparum -typhoid fever. We have proved the existence of the disease free and endemic equilibrium points of the model and we used a non-linear stability analysis method to prove the local and global stabilities of these equilibrium points. Further, the positivity and boundedness of the solution of the model developed is verified to discover that the model equation is mathematically and epidemiologically well posed. We obtained the basic reproduction number R0 for the co-infection dynamics of plasmodium vivax, plasmodium falciparum and typhoid fever diseases in terms of the three basic reproduction numbers of the separate diseases using the standard data obtained from different sources. The separate diseases disappear from the community whenever the reproduction number R0 is very small and less than unity. On the other hand, the diseases co-exist whenever their reproduction numbers exceed unity (regardless which of the numbers is larger). The sensitivity analysis is discussed in detail to identify the most influential parameters that enhance the co-infection of malaria and typhoid fever disease in a given population. Numerical simulation is also done to illustrate the influence of different parameters on the basic reproduction number.
    VL  - 7
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Department of Mathematics, Debre Berhan University, Debre Berhan, Ethiopia

  • Department of Mathematics, Wollega University, Nekemte, Ethiopia

  • Sections