Ajzen, I (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes 50(2): 179–211.
Google Scholar | Crossref | ISI Ajzen, I, Fishbein, M (2005) The influence of attitudes on behavior. In: Albarracín, D, Johnson, BT, Zanna, MP (eds) The Handbook of Attitudes. Mahwah, NJ: Lawrence Erlbaum Associates Publishers, pp.173–221.
Google Scholar Bechard, LE, Bergelt, M, Neudorf, B, et al. (2021) Using the health belief model to understand age differences in perceptions and responses to the COVID-19 pandemic. Frontiers in Psychology 12: 609893.
Google Scholar | Crossref | Medline Bierwiaczonek, K, Kunst, JR, Pich, O (2020) Belief in COVID-19 conspiracy theories reduces social distancing over time. Applied Psychology. Health and Well-Being 12(4): 1270–1285.
Google Scholar | Crossref | Medline Blagov, PS (2021) Adaptive and dark personality in the COVID-19 pandemic: Predicting health-behavior endorsement and the appeal of public-health messages. Social Psychological and Personality Science 12(5): 697–707.
Google Scholar | SAGE Journals | ISI Brug, J, Aro, AR, Oenema, A, et al. (2004) SARS risk perception, knowledge, precautions, and information sources, the Netherlands. Emerging Infectious Diseases 10(8): 1486–1489.
Google Scholar | Crossref | Medline Cava, MA, Fay, KE, Beanlands, HJ, et al. (2005) Risk perception and compliance with quarantine during the SARS outbreak. Journal of Nursing Scholarship 37(4): 343–347.
Google Scholar | Crossref | Medline Centers for Disease Control and Prevention (2020) Coronavirus (COVID-19). Available at: https://web.archive.org/web/20200318013644/https://www.cdc.gov/coronavirus/2019-ncov/index.html (accessed 18 March 2020).
Google Scholar Dryhurst, S, Schneider, CR, Kerr, J, et al. (2020) Risk perceptions of COVID-19 around the world. Journal of Risk Research 23(7-8): 994–1006.
Google Scholar | Crossref Duncan, LA, Schaller, M, Park, JH (2009) Perceived vulnerability to disease: Development and validation of a 15-item self-report instrument. Personality and Individual Differences 47(6): 541–546.
Google Scholar | Crossref | ISI Edmonds, BMT, Coleman, J, Armstrong, K, et al. (2011) Risk perceptions, worry, or distrust: What drives pregnant women’s decisions to accept the H1N1 vaccine? Maternal and Child Health Journal 15(8): 1203–1209.
Google Scholar | Crossref | Medline Faul, F, Erdfelder, E, Lang, AG, et al. (2007) G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods 39(2): 175–191.
Google Scholar | Crossref | Medline | ISI Ferrer, RA, Portnoy, DB, Klein, WM (2013) Worry and risk perceptions as independent and interacting predictors of health protective behaviors. Journal of Health Communication 18(4): 397–409.
Google Scholar | Crossref | Medline Gollwitzer, A, McLoughlin, K, Martel, C, et al. (2021) Linking self-reported social distancing to real-world behavior during the COVID-19 pandemic. Social Psychological and Personality Science. Epub ahead of print 23 June 2021. DOI: 10.1177/19485506211018132
Google Scholar | SAGE Journals Harper, CA, Satchell, LP, Fido, D, et al. (2021) Functional fear predicts public health compliance in the COVID-19 pandemic. International Journal of Mental Health and Addiction 19(5): 1875–1888.
Google Scholar | Crossref Hastings, G, Stead, M, Webb, J (2004) Fear appeals in social marketing: Strategic and ethical reasons for concern. Psychology and Marketing 21(11): 961–986.
Google Scholar | Crossref | ISI Hayes, AF (2018) Introduction to mediation, moderation, and conditional process analysis: A regression-based approach, 2nd edn. New York: Guilford Press.
Google Scholar Henrich, J, Heine, SJ, Norenzayan, A (2010) The weirdest people in the world? Behavioral and Brain Sciences 33(2-3): 61–83; discussion 83.
Google Scholar | Crossref | Medline | ISI Hou, SI, Charlery, SA, Roberson, K (2014) Systematic literature review of Internet interventions across health behaviors. Health Psychology and Behavioral Medicine: An Open Access Journal 2(1): 455–481.
Google Scholar Kim, JK, Crimmins, EM (2020) How does age affect personal and social reactions to COVID-19: Results from the national Understanding America study. PLoS One 15(11): e0241950.
Google Scholar | Crossref Kok, G, Peters, GY, Kessels, LTE, et al. (2018) Ignoring theory and misinterpreting evidence: The false belief in fear appeals. Health Psychology Review 12(2): 111–125.
Google Scholar | Crossref | Medline Lammers, J, Crusius, J, Gast, A (2020) Correcting misperceptions of exponential coronavirus growth increases support for social distancing. Proceedings of the National Academy of Sciences of the United States of America 117(28): 16264–16266.
Google Scholar | Crossref | Medline Lapsley, DK, Duggan, PM (2001) The adolescent invulnerability scale: Factor structure and construct validity. Paper presented at the biennial meeting of the society for research in child development, Minneapolis, MN, .
Google Scholar Lawton, R, Conner, M, Parker, D (2007) Beyond cognition: Predicting health risk behaviors from instrumental and affective beliefs. Health Psychology 26(3): 259–267.
Google Scholar | Crossref | Medline | ISI Leppin, A, Aro, AR (2009) Risk perceptions related to SARS and avian influenza: Theoretical foundations of current empirical research. International Journal of Behavioral Medicine 16(1): 7–29.
Google Scholar | Crossref | Medline | ISI Leventhal, H, Meyer, D, Nerenz, D (1980) The common sense representation of illness danger. In: Rachman, S (ed.) Medical Psychology. Oxford: Pergamon Press, pp.7–30.
Google Scholar Loewenstein, GF, Weber, EU, Hsee, CK, et al. (2001) Risk as feelings. Psychological Bulletin 127(2): 267–286.
Google Scholar | Crossref | Medline | ISI Lu, H, Weintz, C, Pace, J, et al. (2021) Are college campuses superspreaders? A data-driven modeling study. Computer Methods in Biomechanics and Biomedical Engineering 24: 1136–1145.
Google Scholar | Crossref | Medline Lunn, PD, Timmons, S, Belton, CA, et al. (2020) Motivating social distancing during the COVID-19 pandemic: An online experiment. Social Science & Medicine 265(2020): 113478.
Google Scholar | Crossref | Medline Nielsen, RK, Fletcher, R, Kalogeropoulos, A, et al. (2020) Communications in the coronavirus crisis: Lessons for the second wave. Reuters Institute for the Study of Journalism. Available at: https://reutersinstitute.politics.ox.ac.uk/communications-coronavirus-crisis-lessons-second-wave (accessed 1 December 2020).
Google Scholar Pedersen, MJ, Favero, N (2020) Social distancing during the COVID-19 pandemic: Who are the present and future non-compliers? Public Administration Review 80(5): 805–814.
Google Scholar | Crossref Portnoy, DB, Ferrer, RA, Bergman, HE, et al. (2014) Changing deliberative and affective responses to health risk: A meta-analysis. Health Psychology Review 8(3): 296–318.
Google Scholar | Crossref | Medline Qazi, A, Qazi, J, Naseer, K, et al. (2020) Analyzing situational awareness through public opinion to predict adoption of social distancing amid pandemic COVID-19. Journal of Medical Virology 92(7): 849–855.
Google Scholar | Crossref | Medline Reisdorf, B, Blank, G, Bauer, J, et al. (2021) Information seeking patterns and COVID-19 in the United States. Journal of Quantitative Description: Digital Media 1: 1–38. DOI: 10.51685/jqd.2021.003
Google Scholar | Crossref Samore, T, Fessler, DMT, Sparks, AM, et al. (2021) Of pathogens and party lines: Social conservatism positively associates with COVID-19 precautions among US Democrats but not Republicans. PLoS One 16(6): e0253326.
Google Scholar | Crossref Smith, RD (2006) Responding to global infectious disease outbreaks: Lessons from SARS on the role of risk perception, communication and management. Social Science & Medicine 63(12): 3113–3123.
Google Scholar | Crossref | Medline | ISI Tay, RS, Ozanne, L (2002) Who are we scaring with high fear road safety advertising campaigns? Asia Pacific Journal of Transport 4(2002): 1–12. https://hdl.handle.net/10182/3476
Google Scholar Traczyk, J, Sobkow, A, Zaleskiewicz, T (2015) Affect-laden imagery and risk taking: The mediating role of stress and risk perception. PLoS One 10(3): e0122226.
Google Scholar | Crossref | Medline Van Bavel, JJ, Baicker, K, Boggio, PS, et al. (2020) Using social and behavioural science to support COVID-19 pandemic response. Nature Human Behaviour 4(5): 460–471.
Google Scholar | Crossref | Medline Weinstein, ND, Kwitel, A, McCaul, KD, et al. (2007) Risk perceptions: Assessment and relationship to influenza vaccination. Health Psychology 26(2): 146–151.
Google Scholar | Crossref | Medline | ISI World Health Organization (2020) Coronavirus disease 2019 (COVID-19): Situation report, 66. World Health Organization. Available at: https://apps.who.int/iris/handle/10665/331612 (accessed 1 April 2020).
Google Scholar Xu, P, Cheng, J (2021) Individual differences in social distancing and mask-wearing in the pandemic of COVID-19: The role of need for cognition, self-control and risk attitude. Personality and Individual Differences 175(2021): 110706.
Google Scholar | Crossref | Medline Yanti, B, Wahyudi, E, Wahiduddin, W, et al. (2020) Community knowledge, attitudes, and behavior towards social distancing policy as prevention transmission of COVID-19 in Indonesia. Jurnal Administrasi Kesehatan Indonesia 8(2): 4–14.
Google Scholar | Crossref Yıldırım, M, Geçer, E, Akgül, Ö (2021) The impacts of vulnerability, perceived risk, and fear on preventive behaviours against COVID-19. Psychology Health & Medicine 26(1): 35–43.
Google Scholar | Crossref | Medline Zettler, I, Schild, C, Lilleholt, L, et al. (2021) The role of personality in COVID-19-related perceptions, evaluations, and behaviors: Findings across five samples, nine traits, and 17 criteria. Social Psychological and Personality Science. Epub ahead of print 5 April 2021. DOI: 10.1177/19485506211001680
Google Scholar | SAGE Journals