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Modeling and Simulation of Resource-Constrained Vaccination Strategies and Epidemic Outbreaks

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Applications of Intelligent Technologies in Healthcare

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

Ongoing research on epidemic modeling is seeking for interventions to contain epidemic spread. Developing countries are at high risk of epidemics and pose a threat to developed countries as well. We have developed an epidemic scenario simulator to assist in choice of optimal vaccination strategy in case of scarce resources. The objective of this model is to explore the impact of different strategies on virus spread for different diseases. It is known that due to limited resources, vaccination of whole population is not feasible. Our simulation explores the extent to which the effect of vaccination of a subset of population can be effective to minimize the spread of disease. Further at any point in time, the model gives information regarding the health status of population.

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Authors and Affiliations

  1. Department of Computer Science, National Textile University, Faisalabad, Pakistan

    Rehan Ashraf, Bushra Zafar, Sohail Jabbar, Mudassar Ahmad & Syed Hassan Ahmed

Authors
  1. Rehan Ashraf
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  2. Bushra Zafar
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  3. Sohail Jabbar
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  4. Mudassar Ahmad
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  5. Syed Hassan Ahmed
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Corresponding author

Correspondence to Mudassar Ahmad .

Editor information

Editors and Affiliations

  1. Abdul Wali Khan University Mardan, Marden, Pakistan

    Fazlullah Khan

  2. Abdul Wali Khan University Mardan, Mardan, Pakistan

    Mian Ahmad Jan

  3. Xi’an Jiaotong-Liverpool University, Suzhou, China

    Muhammad Alam

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Ashraf, R., Zafar, B., Jabbar, S., Ahmad, M., Ahmed, S.H. (2019). Modeling and Simulation of Resource-Constrained Vaccination Strategies and Epidemic Outbreaks. In: Khan, F., Jan, M., Alam, M. (eds) Applications of Intelligent Technologies in Healthcare. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-96139-2_13

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  • DOI: https://doi.org/10.1007/978-3-319-96139-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96138-5

  • Online ISBN: 978-3-319-96139-2

  • eBook Packages: EngineeringEngineering (R0)

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