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Visual Exploratory Data Analysis Technique for Epidemiological Outbreak of COVID-19 Pandemic

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Healthcare Informatics for Fighting COVID-19 and Future Epidemics

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

Abstract

In December 2019, a novel coronavirus outbreak (named COVID-19) was first reported in Wuhan, Hubei province, China, and has been spreading across many nations. Person-to-person transmission has been revealed by epidemiological studies in China and around the world. COVID-19 is a life-threatening infectious disease usually transmitted through infected air droplets that are projected during sneezing or coughing from one person to another. It can also be transmitted when humans have contact with surfaces or hands containing the virus and touch their mouth, nose or eyes with the contaminated hands. Therefore, this study describes and analyses the exploration of coronavirus data reported worldwide from January to the end of August 2020. To monitor the total number of confirmed, recovery and death cases, a period of 4 months was covered for this study. For the basic analysis of the dataset, linear regression was used, and it was discovered that the virus is contagious but less deadly as the total number of deaths recorded for 4 months is lower compared to the recovery cases. This data shows that the early test of COVID-19 will eliminate the critical/severe cases and reduce the death cases. The real-time generationof comprehensive and vigorous data for evolving sickness outbursts could help engender vigorous indication and significant to support and inform public health workers and government to make a strategic decision for the wellbeing of the citizens.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Ilorin, Ilorin, Nigeria

    Joseph Bamidele Awotunde

  2. Department of Computer Science, Landmark University, Omu-Aran, Nigeria

    Roseline Oluwaseun Ogundokun & Emmanuel Abidemi Adeniyi

  3. Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria

    Sanjay Misra

Authors
  1. Joseph Bamidele Awotunde
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  2. Roseline Oluwaseun Ogundokun
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  3. Emmanuel Abidemi Adeniyi
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  4. Sanjay Misra
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Corresponding author

Correspondence to Sanjay Misra .

Editor information

Editors and Affiliations

  1. Information and Communication Technology, University of Malta, Msida, Malta

    Lalit Garg

  2. Electronics & Communication Engineering, Birla Institute of Technology, Jharkhand, India

    Chinmay Chakraborty

  3. University of Mons, Mons, Belgium

    Saïd Mahmoudi

  4. Harrisburg University of Science and Tec, Harrisburg, PA, USA

    Victor S. Sohmen

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Awotunde, J.B., Ogundokun, R.O., Adeniyi, E.A., Misra, S. (2022). Visual Exploratory Data Analysis Technique for Epidemiological Outbreak of COVID-19 Pandemic. In: Garg, L., Chakraborty, C., Mahmoudi, S., Sohmen, V.S. (eds) Healthcare Informatics for Fighting COVID-19 and Future Epidemics. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-72752-9_9

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  • DOI: https://doi.org/10.1007/978-3-030-72752-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72751-2

  • Online ISBN: 978-3-030-72752-9

  • eBook Packages: EngineeringEngineering (R0)

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