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Project and Prototype of Mobile Application for Monitoring the Global COVID-19 Epidemiological Situation

Author

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  • Bartosz Sawik

    (Department of Business Informatics and Engineering Management, AGH University of Science and Technology, 30-059 Krakow, Poland
    Department of Statistics, Computer Science and Mathematics, Public University of Navarre, 31006 Pamplona, Spain
    Haas School of Business, University of California at Berkeley, Berkeley, CA 94720, USA
    These authors contributed equally to this work.)

  • Julia Płonka

    (Department of Business Informatics and Engineering Management, AGH University of Science and Technology, 30-059 Krakow, Poland
    These authors contributed equally to this work.)

Abstract

The purpose of this research is to analyze currently available solutions that help to monitor the global epidemiological situation, including travel restrictions, as well as proposing a new solution dedicated to users who want to keep updated with the current restrictions and COVID-19-related statistics. The analysis of existing tools is prepared from the perspective of practical usability for the end user. This paper consists of an overview of the tools and techniques of data visualization and demonstrates how to integrate them with practical business usage in a mobile application.

Suggested Citation

  • Bartosz Sawik & Julia Płonka, 2022. "Project and Prototype of Mobile Application for Monitoring the Global COVID-19 Epidemiological Situation," IJERPH, MDPI, vol. 19(3), pages 1-20, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1416-:d:735450
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    References listed on IDEAS

    as
    1. Sawik, Tadeusz, 2022. "Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study," Omega, Elsevier, vol. 109(C).
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    Cited by:

    1. Bartosz Sawik, 2023. "Space Mission Risk, Sustainability and Supply Chain: Review, Multi-Objective Optimization Model and Practical Approach," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    2. Mateusz Ciski & Krzysztof Rząsa, 2023. "Multiscale Geographically Weighted Regression in the Investigation of Local COVID-19 Anomalies Based on Population Age Structure in Poland," IJERPH, MDPI, vol. 20(10), pages 1-23, May.
    3. Magdalena Tuczyńska & Rafał Staszewski & Maja Matthews-Kozanecka & Ewa Baum, 2022. "Impact of Socioeconomic Status on the Perception of Accessibility to and Quality of Healthcare Services during the COVID-19 Pandemic among Poles—Pilot Study," IJERPH, MDPI, vol. 19(9), pages 1-10, May.
    4. Krzysztof Rząsa & Mateusz Ciski, 2022. "Influence of the Demographic, Social, and Environmental Factors on the COVID-19 Pandemic—Analysis of the Local Variations Using Geographically Weighted Regression," IJERPH, MDPI, vol. 19(19), pages 1-26, September.

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