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Artificial Intelligence and Data Science in the Detection, Diagnosis, and Control of COVID-19: A Systematic Mapping Study

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12957))

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Abstract

On March 11 2020, the World Health Organization (WHO) announced that the new COVID-19 disease, caused by the SARS-CoV2 could be considered a pandemic. Both this new virus and the disease it causes were unknown before the outbreak in Wuhan (China) in December 2019. Since then, the number of infections has grown exponentially causing the collapse of health-care systems, as well as socio-economic structures of countries around the world. The objective of this study is to give an overview of the application of Artificial Intelligence and Data Science in the control of the pandemic through a systematic mapping of scientific literature that determines the nature, scope and quantity of published primary studies. The research was carried out using the databases Scopus, IEEE Xplore, PubMed Central and the global research database of the World Health Organization. Thus, 372 studies were identified that met the inclusion criteria. The application of artificial intelligence techniques was observed, such as neural networks, deep learning, and machine learning in some areas including detection and imaging diagnosis, prediction of new outbreaks and mortality, social distancing, among others. In data analysis, artificial intelligence has become an important tool in the fight against COVID-19 and this study may be useful for the scientific community to direct future research into less-investigated areas.

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Authors and Affiliations

  1. Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador

    Verónica Tintín

  2. Universidad Distrital Francisco Jose de Caldas, Bogota, Colombia

    Hector Florez

Authors
  1. Verónica Tintín
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  2. Hector Florez
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Correspondence to Hector Florez .

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Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

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Tintín, V., Florez, H. (2021). Artificial Intelligence and Data Science in the Detection, Diagnosis, and Control of COVID-19: A Systematic Mapping Study. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12957. Springer, Cham. https://doi.org/10.1007/978-3-030-87013-3_27

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  • DOI: https://doi.org/10.1007/978-3-030-87013-3_27

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