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Mathematical Modelling for Infectious Viral Disease: the Covid-19 Perspective

Author

Listed:
  • Hafeez A. Adekola

    (Olabisi Onabanjo University, Ogun State, Nigeria)

  • Ibrahim A. Adekunle

    (Olabisi Onabanjo University, Ogun State, Nigeria)

  • Haneefat O. Egberongbe

    (Olabisi Onabanjo University, Ogun State, Nigeria)

  • Sefiu A. Onitilo

    (Olabisi Onabanjo University, Ogun State, Nigeria)

  • Idris N. Abdullahi

    (Ahmadu Bello University, Zaria, Nigeria)

Abstract

In this study, we examined various forms of mathematical models that are relevant for the containment, risk analysis and features of COVID-19. Greater emphasis was laid on the extension of the Susceptible-Infectious-Recovered (SIR) models for policy relevance in the time of COVID-19. These mathematical models play a significant role in the understanding of COVID-19 transmission mechanisms, structures and features. Considering that the disease has spread sporadically around the world, causing large scale socioeconomic disruption unwitnessed in contemporary ages since World War II, researchers, stakeholders, government and the society at large are actively engaged in finding ways to reduce the rate of infection until a cure or vaccination procedure is established. We advanced argument for the various forms of the mathematical models of epidemics and highlighted their relevance in the containment of COVID-19 at the present time. Mathematical models address the need for understanding the transmission dynamics and other significant factors of the disease that would aid policymakers to make accurate decisions and reduce the rate of transmission of the disease.

Suggested Citation

  • Hafeez A. Adekola & Ibrahim A. Adekunle & Haneefat O. Egberongbe & Sefiu A. Onitilo & Idris N. Abdullahi, 2020. "Mathematical Modelling for Infectious Viral Disease: the Covid-19 Perspective," Working Papers 20/053, European Xtramile Centre of African Studies (EXCAS).
    • Handle: RePEc:exs:wpaper:20/053
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    Cited by:

    1. Simplice A. Asongu & Samba Diop & Joseph Nnanna, 2020. "The Geography of the Effectiveness and Consequences of Covid-19 Measures: Global Evidence," Working Papers 20/054, European Xtramile Centre of African Studies (EXCAS).
    2. Samba Diop & Simplice A. Asongu & Joseph Nnanna, 2020. "Covid-19 Economic Vulnerability and Resilience Indexes: Global Evidence," Working Papers 20/070, European Xtramile Centre of African Studies (EXCAS).
    3. Samba Diop & Simplice A. Asongu, 2020. "Global health care infrastructure and Africa in times of Covid-19: insights for sustainable development and future pandemics," Working Papers 20/073, European Xtramile Centre of African Studies (EXCAS).
    4. Valerie Onyia Babatope & Jude Okoye & Ibrahim Ayoade Adekunle & Johnson Fejoh, 2023. "Work burnout and organisational commitment of medical professionals," Future Business Journal, Springer, vol. 9(1), pages 1-13, December.

    More about this item

    Keywords

    Mathematical Models; SIR Models; COVID-19; COVID-19 confirmed cases; COVID-19 attributable deaths;
    All these keywords.

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