IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i14p7648-d596736.html
   My bibliography  Save this article

How Artificial Intelligence and New Technologies Can Help the Management of the COVID-19 Pandemic

Author

Listed:
  • Davide Barbieri

    (Department of Neuroscience and Rehabilitation, University of Ferrara, Via Savonarola 9, 44121 Ferrara, Italy)

  • Enrico Giuliani

    (Department of Biomedical, Metabolic and Neuroscience Sciences, University of Modena and Reggio Emilia, Via Del Pozzo 71, 41125 Modena, Italy)

  • Anna Del Prete

    (School of Anesthesiology and Intensive Care, University of Modena and Reggio Emilia, Via Del Pozzo 71, 41125 Modena, Italy)

  • Amanda Losi

    (Department of Biomedical, Metabolic and Neuroscience Sciences, University of Modena and Reggio Emilia, Via Del Pozzo 71, 41125 Modena, Italy)

  • Matteo Villani

    (Department of Anesthesiology and Intensive Care, Azienda USL Piacenza, Via Antonio Anguissola 15, 29121 Piacenza, Italy)

  • Alberto Barbieri

    (School of Anesthesiology and Intensive Care, University of Modena and Reggio Emilia, Via Del Pozzo 71, 41125 Modena, Italy)

Abstract

The COVID-19 pandemic has worked as a catalyst, pushing governments, private companies, and healthcare facilities to design, develop, and adopt innovative solutions to control it, as is often the case when people are driven by necessity. After 18 months since the first case, it is time to think about the pros and cons of such technologies, including artificial intelligence—which is probably the most complex and misunderstood by non-specialists—in order to get the most out of them, and to suggest future improvements and proper adoption. The aim of this narrative review was to select the relevant papers that directly address the adoption of artificial intelligence and new technologies in the management of pandemics and communicable diseases such as SARS-CoV-2: environmental measures; acquisition and sharing of knowledge in the general population and among clinicians; development and management of drugs and vaccines; remote psychological support of patients; remote monitoring, diagnosis, and follow-up; and maximization and rationalization of human and material resources in the hospital environment.

Suggested Citation

  • Davide Barbieri & Enrico Giuliani & Anna Del Prete & Amanda Losi & Matteo Villani & Alberto Barbieri, 2021. "How Artificial Intelligence and New Technologies Can Help the Management of the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(14), pages 1-10, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7648-:d:596736
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/14/7648/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/14/7648/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Luciana Zaccagni & Stefania Toselli & Davide Barbieri, 2021. "Physical Activity during COVID-19 Lockdown in Italy: A Systematic Review," IJERPH, MDPI, vol. 18(12), pages 1-13, June.
    2. Ali Asgary & Svetozar Zarko Valtchev & Michael Chen & Mahdi M. Najafabadi & Jianhong Wu, 2020. "Artificial Intelligence Model of Drive-Through Vaccination Simulation," IJERPH, MDPI, vol. 18(1), pages 1-10, December.
    3. Davide Barbieri & Nitesh Chawla & Luciana Zaccagni & Tonći Grgurinović & Jelena Šarac & Miran Čoklo & Saša Missoni, 2020. "Predicting Cardiovascular Risk in Athletes: Resampling Improves Classification Performance," IJERPH, MDPI, vol. 17(21), pages 1-9, October.
    4. Jelena Musulin & Sandi Baressi Šegota & Daniel Štifanić & Ivan Lorencin & Nikola Anđelić & Tijana Šušteršič & Anđela Blagojević & Nenad Filipović & Tomislav Ćabov & Elitza Markova-Car, 2021. "Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review," IJERPH, MDPI, vol. 18(8), pages 1-39, April.
    5. Edouard Mathieu & Hannah Ritchie & Esteban Ortiz-Ospina & Max Roser & Joe Hasell & Cameron Appel & Charlie Giattino & Lucas Rodés-Guirao, 2021. "A global database of COVID-19 vaccinations," Nature Human Behaviour, Nature, vol. 5(7), pages 947-953, July.
    6. Nikola Anđelić & Sandi Baressi Šegota & Ivan Lorencin & Zdravko Jurilj & Tijana Šušteršič & Anđela Blagojević & Alen Protić & Tomislav Ćabov & Nenad Filipović & Zlatan Car, 2021. "Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm," IJERPH, MDPI, vol. 18(3), pages 1-26, January.
    Full references (including those not matched with items on IDEAS)

    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. Derek Huang & Huanyu Tao & Qilong Wu & Sheng-You Huang & Yi Xiao, 2021. "Modeling of the Long-Term Epidemic Dynamics of COVID-19 in the United States," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    2. Emanuela Gualdi-Russo & Luciana Zaccagni, 2021. "Physical Activity for Health and Wellness," IJERPH, MDPI, vol. 18(15), pages 1-6, July.
    3. Hwang, Eunju, 2022. "Prediction intervals of the COVID-19 cases by HAR models with growth rates and vaccination rates in top eight affected countries: Bootstrap improvement," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    4. Wood, Reed M. & Juanchich, Marie & Ramirez, Mark & Zhang, Shenghao, 2023. "Promoting COVID-19 vaccine confidence through public responses to misinformation: The joint influence of message source and message content," Social Science & Medicine, Elsevier, vol. 324(C).
    5. S. D. Sreeganga & Ajay Chandra & Arkalgud Ramaprasad, 2021. "Ontological Analysis of COVID-19 Vaccine Roll out Strategies: A Comparison of India and the United States of America," IJERPH, MDPI, vol. 18(14), pages 1-18, July.
    6. Schenkel, Marina, 2024. "Health emergencies, science contrarianism and populism: A scoping review," Social Science & Medicine, Elsevier, vol. 346(C).
    7. Quan-Hoang Vuong & Tam-Tri Le & Viet-Phuong La & Huyen Thanh Thanh Nguyen & Manh-Toan Ho & Quy Khuc & Minh-Hoang Nguyen, 2022. "Covid-19 vaccines production and societal immunization under the serendipity-mindsponge-3D knowledge management theory and conceptual framework," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    8. Tianzhen Hu & Li Li & Chuanxue Lin & Zikun Yang & Cheng Chow & Zhipeng Lu & Chen You, 2022. "An Analysis of the Willingness to the COVID-19 Vaccine Booster Shots among Urban Employees: Evidence from a Megacity H in Eastern China," IJERPH, MDPI, vol. 19(4), pages 1-14, February.
    9. Carlotta Amantea & Maria Francesca Rossi & Paolo Emilio Santoro & Flavia Beccia & Maria Rosaria Gualano & Ivan Borrelli & Joana Pinto da Costa & Alessandra Daniele & Antonio Tumminello & Stefania Bocc, 2022. "Medical Liability of the Vaccinating Doctor: Comparing Policies in European Union Countries during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(12), pages 1-11, June.
    10. Christian Gillitzer & Nalini Prasad, 2023. "The Effect Of School Closures On Standardized Test Scores: Evidence From A Zero-Covid Environment," Working Papers 2023-09, University of Sydney, School of Economics.
    11. Amer Habibullah & Nawaf Alhajaj & Ahmad Fallatah, 2022. "One-Kilometer Walking Limit during COVID-19: Evaluating Accessibility to Residential Public Open Spaces in a Major Saudi City," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    12. Kun Sun & Tian-Fang Zhao & Xiao-Kun Wu & Kai-Sheng Lai & Wei-Neng Chen & Jin-Sheng Zhang, 2022. "Incorporating Fuzzy Cognitive Inference for Vaccine Hesitancy Measuring," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    13. Ilias Chronopoulos & Katerina Chrysikou & George Kapetanios & James Mitchell & Aristeidis Raftapostolos, 2023. "Deep Neural Network Estimation in Panel Data Models," Working Papers 23-15, Federal Reserve Bank of Cleveland.
    14. Rastko Jovanović & Miloš Davidović & Ivan Lazović & Maja Jovanović & Milena Jovašević-Stojanović, 2021. "Modelling Voluntary General Population Vaccination Strategies during COVID-19 Outbreak: Influence of Disease Prevalence," IJERPH, MDPI, vol. 18(12), pages 1-18, June.
    15. Jo Daniels & Hannah Rettie, 2022. "The Mental Health Impact of the COVID-19 Pandemic Second Wave on Shielders and Their Family Members," IJERPH, MDPI, vol. 19(12), pages 1-17, June.
    16. Antoni Wilinski & Irena Bach-Dabrowska, 2022. "COVID-19: Changes in the Ranking of Polish Regions According to the Criterion Taking into Account both the Reluctance to Vaccinate and the Number of Deaths," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 423-432.
    17. Arielle Kaim & Tuvia Gering & Amiram Moshaiov & Bruria Adini, 2021. "Deciphering the COVID-19 Health Economic Dilemma (HED): A Scoping Review," IJERPH, MDPI, vol. 18(18), pages 1-13, September.
    18. Kolawole Ogundari, 2022. "The COVID-19 vaccine rollout and labor market recovery in the U.S: a note," SN Business & Economics, Springer, vol. 2(7), pages 1-13, July.
    19. Solórzano Diego, 2023. "Grab a Bite? Prices in the food away from home industry during the COVID-19 pandemic," Working Papers 2023-18, Banco de México.
    20. Salvatore F. Pileggi, 2022. "Holistic Resilience Index: measuring the expected country resilience to pandemic," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4107-4127, December.

    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:18:y:2021:i:14:p:7648-:d:596736. 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.