IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i6p2809-d514258.html
   My bibliography  Save this article

Comment on Alley, S.J., et al. As the Pandemic Progresses, How Does Willingness to Vaccinate against COVID-19 Evolve? Int. J. Environ. Res. Public Health 2021, 18 , 797

Author

Listed:
  • Jakob Weitzer

    (Department of Epidemiology, Medical University of Vienna, 1090 Vienna, Austria)

  • Manfred D. Laubichler

    (Complexity Science Hub, Vienna, 1080 Vienna, Austria
    School of Complex Adaptive Systems, Arizona State University, Tempe, AZ 85281, USA
    Santa Fe Institute, Santa Fe, NM 87501, USA
    Global Climate Forum, 10178 Berlin, Germany)

  • Brenda M. Birmann

    (Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA)

  • Martin Bertau

    (Institute of Chemical Technology, Freiberg University of Mining and Technology, 09599 Freiberg, Germany)

  • Lukas Zenk

    (Department for Knowledge and Communication Management, Danube University, 3500 Krems a. d. Donau, Austria)

  • Guido Caniglia

    (Konrad Lorenz Institute for Evolution and Cognition Research, 3400 Klosterneuburg, Austria)

  • Carlo C. Jäger

    (Complexity Science Hub, Vienna, 1080 Vienna, Austria
    Global Climate Forum, 10178 Berlin, Germany)

  • Gerald Steiner

    (Complexity Science Hub, Vienna, 1080 Vienna, Austria
    Department for Knowledge and Communication Management, Danube University, 3500 Krems a. d. Donau, Austria)

  • Eva Schernhammer

    (Department of Epidemiology, Medical University of Vienna, 1090 Vienna, Austria
    Complexity Science Hub, Vienna, 1080 Vienna, Austria
    Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA)

Abstract

We would like to extend on the article by Alley et al [...]

Suggested Citation

  • Jakob Weitzer & Manfred D. Laubichler & Brenda M. Birmann & Martin Bertau & Lukas Zenk & Guido Caniglia & Carlo C. Jäger & Gerald Steiner & Eva Schernhammer, 2021. "Comment on Alley, S.J., et al. As the Pandemic Progresses, How Does Willingness to Vaccinate against COVID-19 Evolve? Int. J. Environ. Res. Public Health 2021, 18 , 797," IJERPH, MDPI, vol. 18(6), pages 1-2, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:2809-:d:514258
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/6/2809/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/6/2809/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephanie J. Alley & Robert Stanton & Matthew Browne & Quyen G. To & Saman Khalesi & Susan L. Williams & Tanya L. Thwaite & Andrew S. Fenning & Corneel Vandelanotte, 2021. "As the Pandemic Progresses, How Does Willingness to Vaccinate against COVID-19 Evolve?," IJERPH, MDPI, vol. 18(2), pages 1-14, 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. 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. An Hoai Duong & Ernoiz Antriyandarti, 2023. "The Willingness to get Vaccinated Against SARS-CoV-2 Virus among Southeast Asian Countries: Does the Vaccine Brand Matter?," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(2), pages 765-793, April.
    3. Malik Sallam & Deema Dababseh & Huda Eid & Hanan Hasan & Duaa Taim & Kholoud Al-Mahzoum & Ayat Al-Haidar & Alaa Yaseen & Nidaa A. Ababneh & Areej Assaf & Faris G. Bakri & Suzan Matar & Azmi Mahafzah, 2021. "Low COVID-19 Vaccine Acceptance Is Correlated with Conspiracy Beliefs among University Students in Jordan," IJERPH, MDPI, vol. 18(5), pages 1-13, March.
    4. Quyen G. To & Kien G. To & Van-Anh N. Huynh & Nhung T. Q. Nguyen & Diep T. N. Ngo & Stephanie J. Alley & Anh N. Q. Tran & Anh N. P. Tran & Ngan T. T. Pham & Thanh X. Bui & Corneel Vandelanotte, 2021. "Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(8), pages 1-9, April.

    More about this item

    Keywords

    n/a;

    Statistics

    Access and download statistics

    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:6:p:2809-:d:514258. 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.