IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i2p491-d477476.html
   My bibliography  Save this article

A Mixed-Methods Systematic Review of the Impacts of Coronavirus on Society and Culture

Author

Listed:
  • Yeon Jung Yu

    (Department of Anthropology, Western Washington University, Bellingham, WA 98225, USA)

  • Young Su Park

    (Center for the Arts and Humanities, Haverford College, Haverford, PA 19041, USA)

  • Alison Keller

    (Department of Anthropology, Western Washington University, Bellingham, WA 98225, USA)

  • Jin-Won Noh

    (Department of Health Administration, Dankook University, 119, Dandae-ro, Dongnam-gu, Cheonan-si, Chungcheongnam-do 31116, Korea)

  • Jiho Cha

    (Humanitarian and Conflict Response Institute, University of Manchester, Manchester M13 9PL, UK)

Abstract

Little is understood of the social and cultural effects of coronaviruses such as coronavirus disease 2019 (COVID-19), severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS-CoV). This systematic review aims to synthesize existing findings (both qualitative and quantitative) that focus on the social and cultural impacts of coronaviruses in order to gain a better understanding of the COVID-19 pandemic. Utilizing a predetermined search strategy, we searched CINAHL, PsycINFO, PubMed, and Web of Science to identify existing (qualitative, quantitative, and mixed-methods) studies pertaining to the coronavirus infections and their intersection with societies and cultures. A narrative synthesis approach was applied to summarize and interpret findings of the study. Stemming from SARS outbreak in 2003, qualitative and quantitative findings (twelve adopted quantitative methods and eight exclusively used qualitative methods) were organized under five topical domains: governance, crisis communication and public knowledge, stigma and discrimination, social compliance of preventive measures, and the social experience of health workers. The selected studies suggest that current societies are not equipped for effective coronavirus response and control. This mixed-methods systematic review demonstrates that the effects of coronaviruses on a society can be debilitating.

Suggested Citation

  • Yeon Jung Yu & Young Su Park & Alison Keller & Jin-Won Noh & Jiho Cha, 2021. "A Mixed-Methods Systematic Review of the Impacts of Coronavirus on Society and Culture," IJERPH, MDPI, vol. 18(2), pages 1-14, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:2:p:491-:d:477476
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/2/491/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/2/491/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xuehua Han & Juanle Wang & Min Zhang & Xiaojie Wang, 2020. "Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China," IJERPH, MDPI, vol. 17(8), pages 1-22, April.
    2. Eichelberger, Laura, 2007. "SARS and New York's Chinatown: The politics of risk and blame during an epidemic of fear," Social Science & Medicine, Elsevier, vol. 65(6), pages 1284-1295, September.
    3. Wallis, Patrick & Nerlich, Brigitte, 2005. "Disease metaphors in new epidemics: the UK media framing of the 2003 SARS epidemic," Social Science & Medicine, Elsevier, vol. 60(11), pages 2629-2639, June.
    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. Zvjezdana Gvozdanović & Nikolina Farčić & Hrvoje Šimić & Vikica Buljanović & Lea Gvozdanović & Sven Katalinić & Stana Pačarić & Domagoj Gvozdanović & Željka Dujmić & Blaženka Miškić & Ivana Barać & Na, 2021. "The Impact of Education, COVID-19 and Risk Factors on the Quality of Life in Patients with Type 2 Diabetes," IJERPH, MDPI, vol. 18(5), pages 1-14, February.
    2. Christian M. Hafner, 2020. "The Spread of the Covid-19 Pandemic in Time and Space," IJERPH, MDPI, vol. 17(11), pages 1-13, May.
    3. Siqi Lai & Brian Deal, 2022. "Parks, Green Space, and Happiness: A Spatially Specific Sentiment Analysis Using Microblogs in Shanghai, China," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    4. Fernando Olivares-Delgado & Patricia P. Iglesias-Sánchez & María Teresa Benlloch-Osuna & Carlos de las Heras-Pedrosa & Carmen Jambrino-Maldonado, 2020. "Resilience and Anti-Stress during COVID-19 Isolation in Spain: An Analysis through Audiovisual Spots," IJERPH, MDPI, vol. 17(23), pages 1-23, November.
    5. Ling Lin & Tao Shu & Han Yang & Jun Wang & Jixian Zhou & Yuxuan Wang, 2023. "Consumer-Perceived Risks and Sustainable Development of China’s Online Gaming Market: Analysis Based on Social Media Comments," Sustainability, MDPI, vol. 15(17), pages 1-20, August.
    6. Malinda & Maya & Jo-Hui & Chen, 2022. "Testing for the Long Memory and Multiple Structural Breaks in Consumer ETFs," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(6), pages 1-6.
    7. Lawrence, Jody & Kearns, Robin A. & Park, Julie & Bryder, Linda & Worth, Heather, 2008. "Discourses of disease: Representations of tuberculosis within New Zealand newspapers 2002-2004," Social Science & Medicine, Elsevier, vol. 66(3), pages 727-739, February.
    8. Adam Burgess, 2012. "Media, Risk, and Absence of Blame for “Acts of God”: Attenuation of the European Volcanic Ash Cloud of 2010," Risk Analysis, John Wiley & Sons, vol. 32(10), pages 1693-1702, October.
    9. Smith, Richard D., 2006. "Responding to global infectious disease outbreaks: Lessons from SARS on the role of risk perception, communication and management," Social Science & Medicine, Elsevier, vol. 63(12), pages 3113-3123, December.
    10. Wang, Yi & Cao, Jinde & Jin, Zhen & Zhang, Haifeng & Sun, Gui-Quan, 2013. "Impact of media coverage on epidemic spreading in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5824-5835.
    11. Frédéric Basso & Philippe Robert-Demontrond & Maryvonne Hayek & Jean-Luc Anton & Bruno Nazarian & Muriel Roth & Olivier Oullier, 2014. "Why People Drink Shampoo? Food Imitating Products Are Fooling Brains and Endangering Consumers for Marketing Purposes," Post-Print halshs-01183005, HAL.
    12. Christopher D. Wirz & Michael A. Xenos & Dominique Brossard & Dietram Scheufele & Jennifer H. Chung & Luisa Massarani, 2018. "Rethinking Social Amplification of Risk: Social Media and Zika in Three Languages," Risk Analysis, John Wiley & Sons, vol. 38(12), pages 2599-2624, December.
    13. Coveney, Catherine M. & Nerlich, Brigitte & Martin, Paul, 2009. "Modafinil in the media: Metaphors, medicalisation and the body," Social Science & Medicine, Elsevier, vol. 68(3), pages 487-495, February.
    14. Bruine de Bruin, Wändi & Carman, Katherine G. & Parker, Andrew M., 2021. "Mental associations with COVID-19 and how they relate with self-reported protective behaviors: A national survey in the United States," Social Science & Medicine, Elsevier, vol. 275(C).
    15. Basso, Frédéric & Robert-Demontrond, Philippe & Hayek, Maryvonne & Anton, Jean-Luc & Nazarian, Bruno & Roth, Muriel & Oullier, Olivier, 2014. "Why people drink shampoo? Food imitating products are fooling brains and endangering consumers for marketing purposes," LSE Research Online Documents on Economics 59224, London School of Economics and Political Science, LSE Library.
    16. Patrick Cheong-Iao Pang & Qixin Cai & Wenjing Jiang & Kin Sun Chan, 2021. "Engagement of Government Social Media on Facebook during the COVID-19 Pandemic in Macao," IJERPH, MDPI, vol. 18(7), pages 1-19, March.
    17. Angela Chang & Xuechang Xian & Matthew Tingchi Liu & Xinshu Zhao, 2022. "Health Communication through Positive and Solidarity Messages Amid the COVID-19 Pandemic: Automated Content Analysis of Facebook Uses," IJERPH, MDPI, vol. 19(10), pages 1-16, May.
    18. Yachao Li & Sylvia Twersky & Kelsey Ignace & Mei Zhao & Radhika Purandare & Breeda Bennett-Jones & Scott R. Weaver, 2020. "Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak," IJERPH, MDPI, vol. 17(18), pages 1-12, September.
    19. Yuye Zhou & Jiangang Xu & Maosen Yin & Jun Zeng & Haolin Ming & Yiwen Wang, 2022. "Spatial-Temporal Pattern Evolution of Public Sentiment Responses to the COVID-19 Pandemic in Small Cities of China: A Case Study Based on Social Media Data Analysis," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    20. Shui-Lien Chen & Hsiang-Ting Hsu & Richard Chinomona, 2023. "How Tourists’ Perceived Risk Affects Behavioral Intention through Crisis Communication in the Post-COVID-19 Era," Mathematics, MDPI, vol. 11(4), pages 1-18, February.

    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:2:p:491-:d:477476. 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.