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Covid-19 vaccination, fear and anxiety: Evidence from Google search trends

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  • Awijen, Haithem
  • Ben Zaied, Younes
  • Nguyen, Duc Khuong

Abstract

Covid-19 vaccination was associated with a general feeling of hesitancy, and its arrival increased fear and economic anxiety. This paper investigates the impacts of Covid-19 vaccination on fear and economic anxiety using a worldwide sample of 194 countries observed from December 1st, 2020 to March 4th, 2021. The difference-in-differences investigation approach shows that with the vaccine's arrival, the Google search trends measuring fear and anxiety are increasing. The arrival of the vaccine has created a general feeling of fear, and people have a lack of confidence in the vaccine's efficiency to overcome the Covid-19 crisis. Specifically, anxiety increased when the delta variant was discovered in India. Governments' interventions must ensure that the Covid-19 vaccine does not have adverse side effects that can harm public health. We suggested that policy makers should focus on increasing the number of older adults willing to receive the vaccine. It can be effective in explaining the benefits of the vaccine, and denying false information about the vaccine and its serious side effects.

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  • Awijen, Haithem & Ben Zaied, Younes & Nguyen, Duc Khuong, 2022. "Covid-19 vaccination, fear and anxiety: Evidence from Google search trends," Social Science & Medicine, Elsevier, vol. 297(C).
    • Handle: RePEc:eee:socmed:v:297:y:2022:i:c:s0277953622001265
    DOI: 10.1016/j.socscimed.2022.114820
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    1. Thiemo Fetzer & Lukas Hensel & Johannes Hermle & Christopher Roth, 2021. "Coronavirus Perceptions and Economic Anxiety," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 968–978-9, December.
    2. Yousfi, Mohamed & Ben Zaied, Younes & Ben Cheikh, Nidhaleddine & Ben Lahouel, Béchir & Bouzgarrou, Houssem, 2021. "Effects of the COVID-19 pandemic on the US stock market and uncertainty: A comparative assessment between the first and second waves," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    3. Miyawaki, Atsushi & Noguchi, Haruko & Kobayashi, Yasuki, 2017. "Impact of medical subsidy disqualification on children's healthcare utilization: A difference-in-differences analysis from Japan," Social Science & Medicine, Elsevier, vol. 191(C), pages 89-98.
    4. J Ward & C. Alleaume & P Peretti-Watel & V. Seror & S Cortaredona & O. Launay & Jocelyn Raude & P. Verger & F. Beck & S. Legleye & Olivier L’haridon, 2020. "The French public's attitudes to a future COVID-19 vaccine: The politicization of a public health issue," Post-Print hal-03004549, HAL.
    5. Ran, Liuyi & Wang, Wo & Ai, Ming & Kong, Yiting & Chen, Jianmei & Kuang, Li, 2020. "Psychological resilience, depression, anxiety, and somatization symptoms in response to COVID-19: A study of the general population in China at the peak of its epidemic," Social Science & Medicine, Elsevier, vol. 262(C).
    6. Nyagwachi, Abel Otwori & Chelwa, Grieve & van Walbeek, Corné, 2020. "The effect of tobacco- and alcohol-control policies on household spending patterns in Kenya: An approach using matched difference in differences," Social Science & Medicine, Elsevier, vol. 256(C).
    7. Abel O. Nyagwachi & Corné van Walbeek & Grieve Chelwa, 2020. "The Effect of Tobacco and Alcohol Control Policies on Household Spending Patterns in Kenya: An Approach Using Matched Difference in Differences," Working Papers 820, Economic Research Southern Africa.
    8. Managi, Shunsuke & Yousfi, Mohamed & Ben Zaied, Younes & Ben Mabrouk, Nejah & Ben Lahouel, Béchir, 2022. "Oil price, US stock market and the US business conditions in the era of COVID-19 pandemic outbreak," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 129-139.
    9. Ward, Jeremy K. & Alleaume, Caroline & Peretti-Watel, Patrick, 2020. "The French public's attitudes to a future COVID-19 vaccine: The politicization of a public health issue," Social Science & Medicine, Elsevier, vol. 265(C).
    10. Oude Groeniger, Joost & Noordzij, Kjell & van der Waal, Jeroen & de Koster, Willem, 2021. "Dutch COVID-19 lockdown measures increased trust in government and trust in science: A difference-in-differences analysis," Social Science & Medicine, Elsevier, vol. 275(C).
    11. Zhou, Zhongliang & Zhao, Yaxin & Shen, Chi & Lai, Sha & Nawaz, Rashed & Gao, Jianmin, 2021. "Evaluating the effect of hierarchical medical system on health seeking behavior: A difference-in-differences analysis in China," Social Science & Medicine, Elsevier, vol. 268(C).
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Rachel Pomazal & Kristen M. C. Malecki & Laura McCulley & Noah Stafford & Mikayla Schowalter & Amy Schultz, 2023. "Changes in Alcohol Consumption during the COVID-19 Pandemic: Evidence from Wisconsin," IJERPH, MDPI, vol. 20(7), pages 1-14, March.
    2. Aleksandar S. Mojašević & Dejan Vučetić & Jelena Vučković & Stefan Stefanović, 2022. "Behavioral Approach to the COVID-19 Vaccination Policy: An Empirical Study in Serbia," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    3. Anna Kłak & Konrad Furmańczyk & Paulina Maria Nowicka & Małgorzata Mańczak & Agnieszka Barańska & Urszula Religioni & Anna Siekierska & Martyna Ambroziak & Magdalena Chłopek, 2022. "The Relationship between Searches for COVID-19 Vaccines and Dynamics of Vaccinated People in Poland: An Infodemiological Study," IJERPH, MDPI, vol. 19(20), pages 1-12, October.
    4. Ouhinou Amine & Elhachimi Zineb & Kartobi Eddine, 2023. "Study Of The Behavioural Determinants Of Investment In The Era Of The Covid-19 Pandemic Among Socially Responsible Investors In Morocco," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 2 Year 20, pages 31-47.
    5. Krzysztof Drachal & Daniel González Cortés, 2022. "Estimation of Lockdowns’ Impact on Well-Being in Selected Countries: An Application of Novel Bayesian Methods and Google Search Queries Data," IJERPH, MDPI, vol. 20(1), pages 1-24, December.

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    More about this item

    Keywords

    Covid-19 vaccination; Economic anxiety; Health beliefs; Mental models;
    All these keywords.

    JEL classification:

    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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