IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i6p2427-d334646.html
   My bibliography  Save this article

Investigating a Serious Challenge in the Sustainable Development Process: Analysis of Confirmed cases of COVID-19 (New Type of Coronavirus) Through a Binary Classification Using Artificial Intelligence and Regression Analysis

Author

Listed:
  • Behrouz Pirouz

    (Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036 Rende, Italy)

  • Sina Shaffiee Haghshenas

    (Department of Civil Engineering, University of Calabria, 87036 Rende, Italy)

  • Sami Shaffiee Haghshenas

    (Department of Civil Engineering, University of Calabria, 87036 Rende, Italy)

  • Patrizia Piro

    (Department of Civil Engineering, University of Calabria, 87036 Rende, Italy)

Abstract

Nowadays, sustainable development is considered a key concept and solution in creating a promising and prosperous future for human societies. Nevertheless, there are some predicted and unpredicted problems that epidemic diseases are real and complex problems. Hence, in this research work, a serious challenge in the sustainable development process was investigated using the classification of confirmed cases of COVID-19 (new version of Coronavirus) as one of the epidemic diseases. Hence, binary classification modeling was used by the group method of data handling (GMDH) type of neural network as one of the artificial intelligence methods. For this purpose, the Hubei province in China was selected as a case study to construct the proposed model, and some important factors, namely maximum, minimum, and average daily temperature, the density of a city, relative humidity, and wind speed, were considered as the input dataset, and the number of confirmed cases was selected as the output dataset for 30 days. The proposed binary classification model provides higher performance capacity in predicting the confirmed cases. In addition, regression analysis has been done and the trend of confirmed cases compared with the fluctuations of daily weather parameters (wind, humidity, and average temperature). The results demonstrated that the relative humidity and maximum daily temperature had the highest impact on the confirmed cases. The relative humidity in the main case study, with an average of 77.9%, affected positively, and maximum daily temperature, with an average of 15.4 °C, affected negatively, the confirmed cases.

Suggested Citation

  • Behrouz Pirouz & Sina Shaffiee Haghshenas & Sami Shaffiee Haghshenas & Patrizia Piro, 2020. "Investigating a Serious Challenge in the Sustainable Development Process: Analysis of Confirmed cases of COVID-19 (New Type of Coronavirus) Through a Binary Classification Using Artificial Intelligenc," Sustainability, MDPI, vol. 12(6), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2427-:d:334646
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/6/2427/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/6/2427/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Behrouz Pirouz & Natale Arcuri & Behzad Pirouz & Stefania Anna Palermo & Michele Turco & Mario Maiolo, 2020. "Development of an Assessment Method for Evaluation of Sustainable Factories," Sustainability, MDPI, vol. 12(5), pages 1-15, February.
    2. Reza Mikaeil & Sina Shaffiee Haghshenas & Zoheir Sedaghati, 2019. "Geotechnical risk evaluation of tunneling projects using optimization techniques (case study: the second part of Emamzade Hashem tunnel)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 1099-1113, July.
    3. Marina Andrijevic & Jesus Crespo Cuaresma & Raya Muttarak & Carl-Friedrich Schleussner, 2020. "Governance in socioeconomic pathways and its role for future adaptive capacity," Nature Sustainability, Nature, vol. 3(1), pages 35-41, January.
    4. Geoffrey Fairchild & Kyle S. Hickmann & Susan M. Mniszewski & Sara Y. Del Valle & James M. Hyman, 2014. "Optimizing human activity patterns using global sensitivity analysis," Computational and Mathematical Organization Theory, Springer, vol. 20(4), pages 394-416, December.
    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. Tayarani N., Mohammad-H., 2021. "Applications of artificial intelligence in battling against covid-19: A literature review," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    2. Behnood, Ali & Mohammadi Golafshani, Emadaldin & Hosseini, Seyedeh Mohaddeseh, 2020. "Determinants of the infection rate of the COVID-19 in the U.S. using ANFIS and virus optimization algorithm (VOA)," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    3. Sharov, Konstantin S., 2020. "Creating and applying SIR modified compartmental model for calculation of COVID-19 lockdown efficiency," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).

    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. Behrouz Pirouz & Sina Shaffiee Haghshenas & Behzad Pirouz & Sami Shaffiee Haghshenas & Patrizia Piro, 2020. "Development of an Assessment Method for Investigating the Impact of Climate and Urban Parameters in Confirmed Cases of COVID-19: A New Challenge in Sustainable Development," IJERPH, MDPI, vol. 17(8), pages 1-17, April.
    2. Sina Shaffiee Haghshenas & Behrouz Pirouz & Sami Shaffiee Haghshenas & Behzad Pirouz & Patrizia Piro & Kyoung-Sae Na & Seo-Eun Cho & Zong Woo Geem, 2020. "Prioritizing and Analyzing the Role of Climate and Urban Parameters in the Confirmed Cases of COVID-19 Based on Artificial Intelligence Applications," IJERPH, MDPI, vol. 17(10), pages 1-21, May.
    3. Florian Humpenöder & Alexander Popp & Carl-Friedrich Schleussner & Anton Orlov & Michael Gregory Windisch & Inga Menke & Julia Pongratz & Felix Havermann & Wim Thiery & Fei Luo & Patrick v. Jeetze & J, 2022. "Overcoming global inequality is critical for land-based mitigation in line with the Paris Agreement," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    4. Giuseppe Guido & Sina Shaffiee Haghshenas & Sami Shaffiee Haghshenas & Alessandro Vitale & Vincenzo Gallelli & Vittorio Astarita, 2020. "Development of a Binary Classification Model to Assess Safety in Transportation Systems Using GMDH-Type Neural Network Algorithm," Sustainability, MDPI, vol. 12(17), pages 1-19, August.
    5. Alaa Khadra & Mårten Hugosson & Jan Akander & Jonn Are Myhren, 2020. "Development of a Weight Factor Method for Sustainability Decisions in Building Renovation. Case Study Using Renobuild," Sustainability, MDPI, vol. 12(17), pages 1-15, September.
    6. Bjoern Soergel & Elmar Kriegler & Isabelle Weindl & Sebastian Rauner & Alois Dirnaichner & Constantin Ruhe & Matthias Hofmann & Nico Bauer & Christoph Bertram & Benjamin Leon Bodirsky & Marian Leimbac, 2021. "A sustainable development pathway for climate action within the UN 2030 Agenda," Nature Climate Change, Nature, vol. 11(8), pages 656-664, August.
    7. Luke J. Harrington & Carl-Friedrich Schleussner & Friederike E. L. Otto, 2021. "Quantifying uncertainty in aggregated climate change risk assessments," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    8. Dirks, Maximilian & Schmidt, Torsten, 2023. "The relationship between political instability and economic growth in advanced economies: Empirical evidence from a panel VAR and a dynamic panel FE-IV analysis," Ruhr Economic Papers 1000, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Sun, Jie & Zhou, P. & Wen, Wen, 2022. "Assessing the regional adaptive capacity to renewable portfolio standard policy in China," Energy Policy, Elsevier, vol. 162(C).
    10. Piero Bevilacqua & Stefania Perrella & Daniela Cirone & Roberto Bruno & Natale Arcuri, 2021. "Efficiency Improvement of Photovoltaic Modules via Back Surface Cooling," Energies, MDPI, vol. 14(4), pages 1-18, February.
    11. Behrouz Pirouz & Stefania Anna Palermo & Mario Maiolo & Natale Arcuri & Patrizia Piro, 2020. "Decreasing Water Footprint of Electricity and Heat by Extensive Green Roofs: Case of Southern Italy," Sustainability, MDPI, vol. 12(23), pages 1-16, December.
    12. Xiaojie Geng & Shunchuan Wu & Yanjie Zhang & Junlong Sun & Haiyong Cheng & Zhongxin Zhang & Shijiang Pu, 2023. "Developing hybrid XGBoost model integrated with entropy weight and Bayesian optimization for predicting tunnel squeezing intensity," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(1), pages 751-771, October.
    13. Zhanna A. Mingaleva, 2020. "Institutional Features of International Financing for Climate Change Adaptation Programs," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 4, pages 10-25, August.
    14. Davide Secchi & Raffaello Seri, 2017. "Controlling for false negatives in agent-based models: a review of power analysis in organizational research," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 94-121, March.
    15. Yiannis Moustakis & Tobias Nützel & Hao-Wei Wey & Wenkai Bao & Julia Pongratz, 2024. "Temperature overshoot responses to ambitious forestation in an Earth System Model," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    16. Jui-Sheng Chou & Dinh-Nhat Truong & Yonatan Che, 2020. "Optimized multi-output machine learning system for engineering informatics in assessing natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(3), pages 727-754, April.
    17. Behrouz Pirouz & Stefania Anna Palermo & Seyed Navid Naghib & Domenico Mazzeo & Michele Turco & Patrizia Piro, 2021. "The Role of HVAC Design and Windows on the Indoor Airflow Pattern and ACH," Sustainability, MDPI, vol. 13(14), pages 1-31, July.
    18. Ahmed K. Nassar, 2022. "Identifying and Explaining Public Preferences for Renewable Energy Sources in Qatar," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    19. Sina Shaffiee Haghshenas & Sami Shaffiee Haghshenas & Zong Woo Geem & Tae-Hyung Kim & Reza Mikaeil & Luigi Pugliese & Antonello Troncone, 2021. "Application of Harmony Search Algorithm to Slope Stability Analysis," Land, MDPI, vol. 10(11), pages 1-12, November.
    20. Bram Govaerts & Christine Negra & Tania Carolina Camacho Villa & Xiomara Chavez Suarez & Anabell Diaz Espinosa & Simon Fonteyne & Andrea Gardeazabal & Gabriela Gonzalez & Ravi Gopal Singh & Victor Kom, 2021. "One CGIAR and the Integrated Agri-food Systems Initiative: From short-termism to transformation of the world’s food systems," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-15, June.

    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:jsusta:v:12:y:2020:i:6:p:2427-:d:334646. 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.