The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Conspiracy theories as barriers to controlling the spread of COVID-19 in the U.S.
Open accessAbstract
RATIONALE: The COVID-19 pandemic poses extraordinary challenges to public health. OBJECTIVE: Because the novel coronavirus is highly contagious, the widespread use of preventive measures such as masking, physical distancing, and eventually vaccination is needed to bring it under control. We hypothesized that accepting conspiracy theories that were circulating in mainstream and social media early in the COVID-19 pandemic in the US would be negatively related to the uptake of preventive behaviors and also of vaccination when a vaccine becomes available. METHOD: A national probability survey of US adults (N = 1050) was conducted in the latter half of March 2020 and a follow-up with 840 of the same individuals in July 2020. The surveys assessed adoption of preventive measures recommended by public health authorities, vaccination intentions, conspiracy beliefs, perceptions of threat, belief about the safety of vaccines, political ideology, and media exposure patterns. RESULTS: Belief in three COVID-19-related conspiracy theories was highly stable across the two periods and inversely related to the (a) perceived threat of the pandemic, (b) taking of preventive actions, including wearing a face mask, (c) perceived safety of vaccination, and (d) intention to be vaccinated against COVID-19. Conspiracy beliefs in March predicted subsequent mask-wearing and vaccination intentions in July even after controlling for action taken and intentions in March. Although adopting preventive behaviors was predicted by political ideology and conservative media reliance, vaccination intentions were less related to political ideology. Mainstream television news use predicted adopting both preventive actions and vaccination. CONCLUSIONS: Because belief in COVID-related conspiracy theories predicts resistance to both preventive behaviors and future vaccination for the virus, it will be critical to confront both conspiracy theories and vaccination misinformation to prevent further spread of the virus in the US. Reducing those barriers will require continued messaging by public health authorities on mainstream media and in particular on politically conservative outlets that have supported COVID-related conspiracy theories.
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Cites
Misinformation and Its Correction: Continued Influence and Successful Debiasing
Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N., & Cook, J. (2012) · Psychological Science in the Public Interest · doi:10.1177/1529100612451018 · Cited by 2,920
How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power
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High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2
Sanche, S., Lin, Y. T., Xu, C., Romero-Severson, E., Hengartner, N., & Ke, R. (2020) · Emerging Infectious Diseases · doi:10.3201/eid2607.200282 · Cited by 1,619
Understanding Conspiracy Theories
Douglas, K. M., Uscinski, J. E., Sutton, R. M., Cichocka, A., Nefes, T., Ang, C. S., & Deravi, F. (2019) · Political Psychology · doi:10.1111/pops.12568 · Cited by 1,511 · cited 5×
“Complicating matters further, belief in conspiracy theories that attributed a socially significant event, in this case the novel coronavirus, to unknown and sinister actors (Douglas et al., 2019), were circulating within social and traditional media (Funke, 2020; Infotagion, 2020; Lee, 2020).”
BackgroundResultInfluentialThe Effects of Anti-Vaccine Conspiracy Theories on Vaccination Intentions
Jolley, D., & Douglas, K. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089177 · Cited by 1,232 · cited 2×
“Previous research has linked conspiracy beliefs with vaccination hesitancy (Hornsey et al., 2020; Jolley and Douglas, 2014).”
BackgroundA postmodern Pandora's box: anti-vaccination misinformation on the internet
Kata, A. (2010) · Vaccine · doi:10.1016/j.vaccine.2009.12.022 · Cited by 1,208
Debunking: A Meta-Analysis of the Psychological Efficacy of Messages Countering Misinformation
Chan, M.-P. S., Jones, C. R., Hall Jamieson, K., & Albarracín, D. (2017) · Psychological Science · doi:10.1177/0956797617714579 · Cited by 898
Dead and Alive: Beliefs in Contradictory Conspiracy Theories
Wood, M. J., Douglas, K. M., & Sutton, R. M. (2012) · Social Psychological and Personality Science · doi:10.1177/1948550611434786 · Cited by 660 · cited 1×
“Another reason for the robustness of conspiracy theories is the tolerance that those who hold them have for inconsistency (Douglas et al., 2019; Miller, 2020; Wood et al., 2012).”
BackgroundPrevention is better than cure: addressing anti-vaccine conspiracy theories
Jolley, D., & Douglas, K. M. (2017) · Journal of Applied Social Psychology · doi:10.1111/jasp.12453 · Cited by 446
Contesting epistemic authority: Conspiracy theories on the boundaries of science
Harambam, J., & Aupers, S. (2015) · Public Understanding of Science · doi:10.1177/0963662514559891 · Cited by 328
Cited by
Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA
Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K., & Larson, H. J. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01056-1 · Cited by 1,800
Sallam, M., Dababseh, D., Eid, H., Al-Mahzoum, K., Al-Haidar, A., Taim, D., Yaseen, A., Ababneh, N. A., Bakri, F. G., & Mahafzah, A. (2021) · Vaccines · doi:10.3390/vaccines9010042 · Cited by 675
Misinformation: susceptibility, spread, and interventions to immunize the public
van der Linden, S. (2022) · Nature Medicine · doi:10.1038/s41591-022-01713-6 · Cited by 570
Cascini, F., Pantovic, A., Al-Ajlouni, Y., Failla, G., & Ricciardi, W. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2021.101113 · Cited by 396
Misinformation of COVID-19 vaccines and vaccine hesitancy
Lee, S. K., Sun, J., Jang, S., & Connelly, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-17430-6 · Cited by 269
Metadata
- Authors
- Romer, D., & Jamieson, K. H.
- Venue
- Social Science & Medicine
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 263
- Pages
- 113356
- ISSN
- 0277-9536 (ISSN-L)
- OpenAlex
- W3087714840
- Cited by
- 1,060
- References
- 11
- FWCI
- 248.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
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