IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i3p1416-d735450.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/3/1416/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/3/1416/
    Download Restriction: no
    ---><---

    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Bartosz Sawik, 2024. "Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping," Logistics, MDPI, vol. 8(2), pages 1-29, May.
    3. 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.
    4. 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.
    5. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tang, Lianhua & Li, Yantong & Bai, Danyu & Liu, Tao & Coelho, Leandro C., 2022. "Bi-objective optimization for a multi-period COVID-19 vaccination planning problem," Omega, Elsevier, vol. 110(C).
    2. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    3. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    4. Liu, Ming & Ding, Yueyu & Chu, Feng & Dolgui, Alexandre & Zheng, Feifeng, 2024. "Robust actions for improving supply chain resilience and viability," Omega, Elsevier, vol. 123(C).
    5. Lizhen Zhan & Hui Shu & Xideng Zhou & Xiaowei Lin, 2022. "A Quality Decision Model Considering the Delay Effects in a Dual-Channel Supply Chain," Sustainability, MDPI, vol. 14(10), pages 1-25, May.
    6. Alikhani, Reza & Ranjbar, Amirhossein & Jamali, Amir & Torabi, S. Ali & Zobel, Christopher W., 2023. "Towards increasing synergistic effects of resilience strategies in supply chain network design," Omega, Elsevier, vol. 116(C).
    7. Serkan Karakas & Mehmet Kirmizi & Huseyin Gencer & Kevin Cullinane, 2024. "A resilience assessment model for dry bulk shipping supply chains: the case of the Ukraine grain corridor," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(3), pages 391-413, September.
    8. Colajanni, Gabriella & Daniele, Patrizia & Sciacca, Daniele, 2022. "Reagents and swab tests during the COVID-19 Pandemic: An optimized supply chain management with UAVs," Operations Research Perspectives, Elsevier, vol. 9(C).
    9. Gilani, Hani & Sahebi, Hadi, 2022. "A data-driven robust optimization model by cutting hyperplanes on vaccine access uncertainty in COVID-19 vaccine supply chain," Omega, Elsevier, vol. 110(C).
    10. Haque, Md Tabish & Hamid, Faiz, 2023. "Social distancing and revenue management—A post-pandemic adaptation for railways," Omega, Elsevier, vol. 114(C).
    11. Hanieh Shekarabi & Mohammad Mahdi Vali-Siar & Ashkan Mozdgir, 2024. "Food supply chain network design under uncertainty and pandemic disruption," Operational Research, Springer, vol. 24(2), pages 1-37, June.
    12. Na Wang & Jingze Chen & Hongfeng Wang, 2023. "Resilient Supply Chain Optimization Considering Alternative Supplier Selection and Temporary Distribution Center Location," Mathematics, MDPI, vol. 11(18), pages 1-22, September.
    13. Zhang, Xu & Naeem, Muhammad Abubakr & Du, Yuting & Rauf, Abdul, 2024. "Examining the bidirectional ripple effects in the NFT markets: Risky center or hedging center?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    14. Arūnas Burinskas & Viktorija Cohen & Jolanta Droždz, 2023. "Supply Chain Interconnectedness in Times of Crises: A Gravity Model with DiD Analysis of COVID-19 Effects on Central and Eastern European Trade," Economies, MDPI, vol. 12(1), pages 1-14, December.
    15. Yılmaz, Ömer Faruk & Yeni, Fatma Betül & Gürsoy Yılmaz, Beren & Özçelik, Gökhan, 2023. "An optimization-based methodology equipped with lean tools to strengthen medical supply chain resilience during a pandemic: A case study from Turkey," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    16. Shoufeng Ji & Pengyun Zhao & Tingting Ji, 2023. "A Hybrid Optimization Method for Sustainable and Flexible Design of Supply–Production–Distribution Network in the Physical Internet," Sustainability, MDPI, vol. 15(7), pages 1-34, April.
    17. Lida Safari & Seyed Jafar Sadjadi & Farzad Movahedi Sobhani, 2024. "Resilient and sustainable supply chain design and planning under supply disruption risk using a multi-objective scenario-based robust optimization model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 27485-27527, November.
    18. Hu, Shaolong & Dong, Zhijie Sasha & Lev, Benjamin, 2022. "Supplier selection in disaster operations management: Review and research gap identification," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    19. Liu, Ming & Liu, Zhongzheng & Chu, Feng & Dolgui, Alexandre & Chu, Chengbin & Zheng, Feifeng, 2022. "An optimization approach for multi-echelon supply chain viability with disruption risk minimization," Omega, Elsevier, vol. 112(C).
    20. Sawik, Tadeusz, 2023. "Reshore or not Reshore: A Stochastic Programming Approach to Supply Chain Optimization," Omega, Elsevier, vol. 118(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1416-:d:735450. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.