A Multidisciplinary Review of Pandemic Management Strategies

  • Authors

    • Michael Anderson Director of Information Technology, ABC Technologies Inc, USA. Author
    • David Thompson Vice President – Operations, Global Solutions LLC, USA. Author

    DOI:

    https://doi.org/10.67228/30715636/IJETMR-2022PII3T8F

    Published 07-05-2022

  • Endemic Management, Epidemiological Modeling, Public Health Policy, Multidisciplinary Strategy, SIR Model, Digital Health, Artificial Intelligence, Healthcare Systems Engineering, Supply Chain Resilience, Risk Communication

    Issue

    Vol. 5 No. 2 (2022)

    Section

    Articles

    How to Cite

    [1]
    M. Anderson and D. Thompson, “A Multidisciplinary Review of Pandemic Management Strategies”, IJETMR, vol. 5, no. 2, pp. 01–14, Jul. 2022, doi: 10.67228/30715636/IJETMR-2022PII3T8F.

  • Abstract

    Pandemics are complex global crises that affect healthcare systems, economies, governance, and social structures. Outbreaks such as influenza, SARS, MERS, Ebola, and COVID-19 highlight the need for coordinated and multidisciplinary strategies for prevention, preparedness, response, and recovery. This paper provides a comprehensive overview of pandemic management by integrating perspectives from epidemiology, public health policy, healthcare systems engineering, data science, economics, behavioral science, and digital technologies. It discusses epidemiological models such as SIR and SEIR, reproduction number estimation, and stochastic simulations used to guide intervention strategies. The study also evaluates non-pharmaceutical interventions (e.g., social distancing, masks, and quarantine) and pharmaceutical measures including vaccines, antiviral treatments, and rapid diagnostics. In addition, digital health tools such as AI-based forecasting, contact tracing applications, telehealth services, and real-time surveillance systems are examined. A systematic literature review and comparative analysis show that integrated, data-driven, and adaptive management approaches are more effective than fragmented strategies. The study proposes a multidisciplinary framework emphasizing real-time analytics, digital infrastructure, economic resilience, and community engagement for sustainable pandemic preparedness and response.

  • References

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