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Fuzzy Model of Transmission Dynamics of COVID-19 in Nepal

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Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1405))

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Abstract

Coronavirus disease is an infectious viral disease threatening the world. It was first found in China, in December 2019, and it has been spreading in more than 210 countries. The heterogeneity of the transmission of the disease should be considered to formulate the model of the disease dynamics. Deterministic models assume constant recovery rate and transmission rate of the disease that are inconsistent with the reality. Using fuzzy theory, the heterogeneity and uncertainty on the disease transmission can be described. In the present work, we study transmission of COVID-19 with fuzzy SAIHR compartmental model. We consider asymptomatic and symptomatic infected compartments. Also, we calculate the basic reproduction number \({R}_{0}\), fuzzy basic reproduction \({R}_{0}^{f}\) and describe the relation between them with different virus loads. Simulation is made to study results of the model graphically.

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Author information

Authors and Affiliations

  1. Tribhuvan University, Bhaktapur Multiple Campus, Kirtipur, Nepal

    Gauri Bhuju

  2. Department of Mathematics, Kathmandu University, Dhulikhel, Nepal

    Ganga Ram Phaijoo & Dil Bahadur Gurung

Authors
  1. Gauri Bhuju
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  2. Ganga Ram Phaijoo
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  3. Dil Bahadur Gurung
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Corresponding author

Correspondence to Gauri Bhuju .

Editor information

Editors and Affiliations

  1. Department of Mathematics, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India

    Manoj Sahni

  2. School of Information, Systems and Modelling, University of Technology Sydney, Broadway, NSW, Australia

    José M. Merigó

  3. Department of Mathematics, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India

    Ritu Sahni

  4. Department of Management Control and Info System, University of Chile, Santiago, Chile

    Rajkumar Verma

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Bhuju, G., Phaijoo, G.R., Gurung, D.B. (2022). Fuzzy Model of Transmission Dynamics of COVID-19 in Nepal. In: Sahni, M., Merigó, J.M., Sahni, R., Verma, R. (eds) Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy. Advances in Intelligent Systems and Computing, vol 1405. Springer, Singapore. https://doi.org/10.1007/978-981-16-5952-2_37

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