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Fuzzy Cognitive Maps Applied in Determining the Contagion Risk Level of SARS-COV-2 Based on Validated Knowledge in the Scientific Community

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Smart and Sustainable Technology for Resilient Cities and Communities

Part of the book series: Advances in Sustainability Science and Technology ((ASST))

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Abstract

Due to the current pandemic that is causing psychological problems, sequelae, in some cases, irreparable damage, and, mainly, leading people around the planet to death; this work aims to create an intelligent application from a validated table, presented by Texas Medical Association. Specifically, the application of fuzzy cognitive map can facilitate the contagion risk level’s inference of SARS-CoV-2 from information on human behavior of everyday life. As a possible contribution of this investigation, in addition to the listed and classified risks, the individual’s behavior should mitigate or increase his contagion risk level. The results are presented and normalized on a scale from 0 to 10.

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Author information

Authors and Affiliations

  1. Federal University of Technology—Parana (UTFPR), Cornélio Procópio, Brazil

    Márcio Mendonça & Rodrigo H. C. Palácios

  2. Technical-Professional Innovation and Engineering University (FEITEP), Maringá, Brazil

    Ivan R. Chrun

  3. Foggiato Research Institute, Jacarezinho, Brazil

    Acácio Fuziy & Augusto A. Foggiato

  4. State University of Northern Paraná (UENP), Jacarezinho, Brazil

    Douglas F. da Silva

Authors
  1. Márcio Mendonça
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  2. Rodrigo H. C. Palácios
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  3. Ivan R. Chrun
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  4. Acácio Fuziy
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  5. Douglas F. da Silva
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  6. Augusto A. Foggiato
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Corresponding author

Correspondence to Márcio Mendonça .

Editor information

Editors and Affiliations

  1. KES International Research, Shoreham-by-sea, UK

    Robert J. Howlett

  2. KES International, Selby, UK

    Lakhmi C. Jain

  3. Cardiff Metropolitan University, Wales, UK

    John R. Littlewood

  4. Aurel Vlaicu University, Arad, Romania

    Marius M. Balas

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Mendonça, M., Palácios, R.H.C., Chrun, I.R., Fuziy, A., da Silva, D.F., Foggiato, A.A. (2022). Fuzzy Cognitive Maps Applied in Determining the Contagion Risk Level of SARS-COV-2 Based on Validated Knowledge in the Scientific Community. In: Howlett, R.J., Jain, L.C., Littlewood, J.R., Balas, M.M. (eds) Smart and Sustainable Technology for Resilient Cities and Communities. Advances in Sustainability Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-9101-0_13

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