IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i14p8434-d859511.html
   My bibliography  Save this article

Incorporating Fuzzy Cognitive Inference for Vaccine Hesitancy Measuring

Author

Listed:
  • Kun Sun

    (School of Journalism & Communication, Jinan University, Guangzhou 510630, China)

  • Tian-Fang Zhao

    (School of Journalism & Communication, Jinan University, Guangzhou 510630, China)

  • Xiao-Kun Wu

    (School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China)

  • Kai-Sheng Lai

    (School of Journalism & Communication, Jinan University, Guangzhou 510630, China)

  • Wei-Neng Chen

    (School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China)

  • Jin-Sheng Zhang

    (School of Journalism & Communication, Jinan University, Guangzhou 510630, China)

Abstract

Vaccine hesitancy plays a key role in vaccine delay and refusal, but its measurement is still a challenge due to multiple intricacies and uncertainties in factors. This paper attempts to tackle this problem through fuzzy cognitive inference techniques. Firstly, we formulate a vaccine hesitancy determinants matrix containing multi-level factors. Relations between factors are formulated through group decision-making of domain experts, which results in a fuzzy cognitive map. The subjective uncertainty of linguistic variables is expressed by fuzzy numbers. A double-weighted method is designed to integrate the distinguished decisions, in which the subjective hesitancy is considered for each decision. Next, three typical scenarios are constructed to identify key and sensitive factors under different experimental conditions. The experimental results are further discussed, which enrich the approaches of vaccine hesitancy estimation for the post-pandemic global recovery.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8434-:d:859511
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/14/8434/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/14/8434/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bloom, David E. & Canning, David & Sevilla, Jaypee, 2004. "The Effect of Health on Economic Growth: A Production Function Approach," World Development, Elsevier, vol. 32(1), pages 1-13, January.
    2. Vojtěch Bartoš & Michal Bauer & Jana Cahlíková & Julie Chytilová, 2022. "Communicating doctors’ consensus persistently increases COVID-19 vaccinations," Nature, Nature, vol. 606(7914), pages 542-549, June.
    3. Adam Brzezinski & Valentin Kecht & David Dijcke & Austin L. Wright, 2021. "Science skepticism reduced compliance with COVID-19 shelter-in-place policies in the United States," Nature Human Behaviour, Nature, vol. 5(11), pages 1519-1527, November.
    4. Annette B. Vogel & Isis Kanevsky & Ye Che & Kena A. Swanson & Alexander Muik & Mathias Vormehr & Lena M. Kranz & Kerstin C. Walzer & Stephanie Hein & Alptekin Güler & Jakob Loschko & Mohan S. Maddur &, 2021. "BNT162b vaccines protect rhesus macaques from SARS-CoV-2," Nature, Nature, vol. 592(7853), pages 283-289, 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. Toan, Trinh Dinh & Wong, Y.D., 2021. "Fuzzy logic-based methodology for quantification of traffic congestion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    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. Okada, Keisuke, 2012. "The effects of female HIV/AIDS status on fertility and child health in Cambodia," Journal of Asian Economics, Elsevier, vol. 23(5), pages 560-570.
    2. Karen Clay & Werner Troesken & Michael Haines, 2014. "Lead and Mortality," The Review of Economics and Statistics, MIT Press, vol. 96(3), pages 458-470, July.
    3. Naeem Ur Rehman Khattak & Jangraiz Khan, 2012. "Does Health Accelerate Economic Growth in Pakistan?," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 2(4), pages 506-512.
    4. 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).
    5. Akram, Naeem, 2009. "Short run and long run dynamics of impact of health status on economic growth Evidence from Pakistan," MPRA Paper 15454, University Library of Munich, Germany.
    6. Fraser Summerfield & Livio Di Matteo, 2021. "Influenza Pandemics and Macroeconomic Fluctuations in Recent Economic History," Working Papers 210002, Canadian Centre for Health Economics.
    7. Micheal Kofi Boachie & K. Ramu & Tatjana Põlajeva, 2018. "Public Health Expenditures and Health Outcomes: New Evidence from Ghana," Economies, MDPI, vol. 6(4), pages 1-25, October.
    8. Dennis Lapuente & Jana Fuchs & Jonas Willar & Ana Vieira Antão & Valentina Eberlein & Nadja Uhlig & Leila Issmail & Anna Schmidt & Friederike Oltmanns & Antonia Sophia Peter & Sandra Mueller-Schmucker, 2021. "Protective mucosal immunity against SARS-CoV-2 after heterologous systemic prime-mucosal boost immunization," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    9. Burhan, Nik Ahmad Sufian & Mohamad, Mohd Rosli & Kurniawan, Yohan & Sidek, Abdul Halim, 2014. "National Intelligence, Basic Human Needs, and Their Effect on Economic Growth," MPRA Paper 77267, University Library of Munich, Germany.
    10. McNamara, Paul E. & Ulimwengu, John M. & Leonard, Kenneth L., 2010. "Do health investments improve agricultural productivity? Lessons from agricultural household and health research," IFPRI discussion papers 1012, International Food Policy Research Institute (IFPRI).
    11. Brian Piper, 2014. "Factor-Specific Productivity," Working Papers 1401, Sam Houston State University, Department of Economics and International Business.
    12. Ozdamar, Oznur & Giovanis, Eleftherios, 2016. "Being Healthy in Turkey: A Pseudo-Panel Data Analysis," MPRA Paper 95838, University Library of Munich, Germany.
    13. Sabrina Auci & Laura Castellucci & Manuela Coromaldi, 2021. "How does public spending affect technical efficiency? Some evidence from 15 European countries," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 108-130, January.
    14. Azmat Gani, 2009. "Some Aspects of Communicable and Non-communicable Diseases in Pacific Island Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 91(2), pages 171-187, April.
    15. Peter Lorentzen & John McMillan & Romain Wacziarg, 2008. "Death and development," Journal of Economic Growth, Springer, vol. 13(2), pages 81-124, June.
    16. Stelter, Robert, 2014. "Over-aging: Are present human populations too old?," Thuenen-Series of Applied Economic Theory 137, University of Rostock, Institute of Economics.
    17. 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).
    18. 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.
    19. Schultz, T. Paul, 2010. "Population and Health Policies," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4785-4881, Elsevier.
    20. Atheendar S. Venkataramani & K.R. Shanmugam & Jennifer Prah Ruger, 2010. "Health, Technical Efficiency, And Agricultural Production In Indian Districts," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 35(4), pages 1-23, 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:jsusta:v:14:y:2022:i:14:p:8434-:d:859511. 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.