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How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples

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Fuzzy Information Processing 2020 (NAFIPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1337))

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Abstract

With the 2020 pandemic came unexpected mathematical and computational problems. In this paper, we provide two examples of such problems—examples that we present in simplified pedagogical form. The problems are related to the need for social distancing and to the need for fast testing. We hope that these examples will help students better understand the importance of mathematical models.

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References

  1. T.S. Perry, Researchers are using algorithms to tackle the coronavirus test shortage: the scramble to develop new test kits that deliver faster results. IEEE Spectr 57(6), 4 (2020)

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  2. N. Shental, S. Levy, V. Wuvshet, S. Skorniakov, Y. Shemer-Avni, A. Porgador, and T. Hertz, Efficient High Throughput SARS-CoV-2 Testing to Detect Asymptomatic Carriers, medRxiv preprint, Accessed 20 April 2020. https://doi.org/10.1101/2020.04.14.20064618

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Acknowledgements

This work was supported in part by the US National Science Foundation grants 1623190 (A Model of Change for Preparing a New Generation for Professional Practice in Computer Science) and HRD-1242122 (Cyber-ShARE Center of Excellence).

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Authors and Affiliations

  1. University of Texas at El Paso, El Paso, TX, 79968, USA

    Julio C. Urenda, Olga Kosheleva, Martine Ceberio & Vladik Kreinovich

Authors
  1. Julio C. Urenda
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  2. Olga Kosheleva
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  3. Martine Ceberio
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  4. Vladik Kreinovich
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Corresponding author

Correspondence to Julio C. Urenda .

Editor information

Editors and Affiliations

  1. Department of Mathematics, DigiPen Institute of Technology, Redmond, WA, USA

    Barnabás Bede

  2. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Martine Ceberio

  3. School of Engineering and Technology, University of Washington, Tacoma, WA, USA

    Martine De Cock

  4. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

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Urenda, J.C., Kosheleva, O., Ceberio, M., Kreinovich, V. (2022). How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples. In: Bede, B., Ceberio, M., De Cock, M., Kreinovich, V. (eds) Fuzzy Information Processing 2020. NAFIPS 2020. Advances in Intelligent Systems and Computing, vol 1337. Springer, Cham. https://doi.org/10.1007/978-3-030-81561-5_40

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