Self-reported health behaviors and risk perceptions following the COVID-19 vaccination rollout in the USA: an online survey study

Thorpe, Alistair; Fagerlin, Angela; Drews, Frank A.; Shoemaker, Holly; Scherer, Laura D.

doi:10.1016/j.puhe.2022.05.007

Cited by 13 publications

(12 citation statements)

References 9 publications

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“…Our study found that travellers do not incorporate more protective interventions, including wearing masks and washing hands when travelling, or more harmful behaviours, such as travelling by public transport after receiving the COVID-19 vaccination. The above finding is also supported by the reports of Thorpe et al [ 23 ], Hall et al [ 24 ], and Guenther et al [ 25 ], who also investigated the risk compensation behaviour during the COVID-19 pandemic. The reason for this finding may be scepticism among participants regarding the vaccine and the advertised high infectivity of COVID-19 in China [ 1 ].…”

Section: Discussionsupporting

confidence: 81%

Health Behaviours among Travellers Regarding Risk Compensation Following COVID-19 Vaccination in Taizhou, China

Yang

Wang

et al. 2023

Canadian Journal of Infectious Diseases and Medical Microbiolog

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Background. During the COVID-19 pandemic, public transport was restricted in many countries because of the transmission risk. According to the risk compensation theory, travellers post-COVID-19 vaccination may encounter higher risks; however, no real-world studies provide such evidence. Therefore, we conducted a survey to assess whether risk compensation would occur among travellers’ health-related behaviours after COVID-19 vaccination, potentially aggravating the transmission of the virus. Materials and Methods. A self-administered online survey was designed and distributed over WeChat to identify the difference in health behaviours before and after COVID-19 vaccination among travellers at a train station in Taizhou, China, from 13 February to 26 April 2022. Results. A total of 602 individuals completed the questionnaire. The results revealed no statistical difference between the health behaviours reported by the vaccinated and unvaccinated groups. Participants who received the first dose of the vaccine earlier showed no statistical difference in harmful health behaviours (hand washing frequency decreased by 4.1% P = 0.145 ) and the duration of public transport travel increased by 3.4% P = 0.437 )), but showed better protective health behaviours (mask-wearing duration increased by 24.7% P = 0.014 )). Compared to those vaccinated less than three times, participants vaccinated against COVID-19 three times showed no statistical differences in harmful health behaviours mask-wearing duration decreased by 7.0% P = 0.927 ), their hand washing frequency decreased by 4.8% P = 0.905 ), and the duration of public transport travel increased by 2.5% P = 0.287 ). After vaccination, when compared to themselves before vaccination, participants exhibited better health behaviours (increased hand washing frequency and mask-wearing duration, and decreased duration of public transport travel) to some extent. Conclusion. In conclusion, this study found no evidence of risk compensation among travellers. After being vaccinated, health behaviours partly improved among travellers.

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Section: Discussionsupporting

confidence: 81%

Health Behaviours among Travellers Regarding Risk Compensation Following COVID-19 Vaccination in Taizhou, China

Yang

Wang

et al. 2023

Canadian Journal of Infectious Diseases and Medical Microbiolog

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“…Suppose also that the following positivity condition holds, which is testable using the observed data from The following proposition establishes that E(Y a,m ) can be identified from T II B , even under broken blinding. Proposition 2 Under Assumptions 1, 7, and 8, E(Y a,m ) for a, m ∈ {0, 1} is identified from the two-arm trial (7) See eAppendix D; http://links.lww.com/EDE/C95 for a proof.…”

Section: Assumption 7 (Ys Dismissible Component Conditions)mentioning

confidence: 99%

“…For example, recipients of vaccines have been reported to increase their number of social contacts due to perceived protective effects, [1][2][3] although the extent of such behavioral changes varies across populations and time. [4][5][6][7] Conventional vaccine trials are designed to identify the immunologic effects of vaccines. 8 These trials often have blinded treatment and control groups 9,10 and the rationale for (patient) blinding is precisely to eliminate the nonimmunologic effects of vaccination.…”

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confidence: 99%

Distinguishing Immunologic and Behavioral Effects of Vaccination

Stensrud,

Nevo,

Obolski

2024

Epidemiology

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The interpretation of vaccine efficacy estimands is subtle, even in randomized trials designed to quantify the immunologic effects of vaccination. In this article, we introduce terminology to distinguish between different vaccine efficacy estimands and clarify their interpretations. This allows us to explicitly consider the immunologic and behavioral effects of vaccination, and establish that policy-relevant estimands can differ substantially from those commonly reported in vaccine trials. We further show that a conventional vaccine trial allows the identification and estimation of different vaccine estimands under plausible conditions if one additional post-treatment variable is measured. Specifically, we utilize a “belief variable” that indicates the treatment an individual believed they had received. The belief variable is similar to “blinding assessment” variables that are occasionally collected in placebo-controlled trials in other fields. We illustrate the relations between the different estimands, and their practical relevance, in numerical examples based on an influenza vaccine trial.

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“…( 2022 ) However, vaccine hesitancy and misinformation remain challenges in achieving full vaccination coverage in India. Understanding public sentiment can help health authorities and policymakers in developing targeted strategies for promoting vaccine uptake and addressing vaccine hesitancy ( 2022 ). To gain an understanding of public perception and behavior toward the COVID-19 vaccine and to answer the following research questions, the study would examine Twitter data about COVID-19 immunization in India.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India

Vishwakarma

Chugh

2023

Soc. Netw. Anal. Min.

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This study examines the perceptions and results of COVID-19 immunization using sentiment analysis of Twitter data from India. The tweets were collected from January 2021 to March 2023 using relevant hashtags and keywords. The dataset was pre-processed and cleaned before conducting sentiment analysis using Natural Language Processing techniques. Our results show that the overall sentiment toward COVID-19 vaccination in India has been positive, with a majority of tweets expressing support for vaccination and encouraging others to get vaccinated. However, we also identified some negative sentiments related to vaccine hesitancy, side effects, and mistrust in the government and pharmaceutical companies. We further analyzed the sentiment based on demographic factors such as gender, age, and location. The analysis revealed that the sentiment varied across different demographics, with some groups expressing more positive or negative sentiments than others. This study provides insights into the perception and outcomes of COVID-19 vaccination in India and highlights the need for targeted communication strategies to address vaccine hesitancy and increase vaccine uptake in specific demographics.

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Self-reported health behaviors and risk perceptions following the COVID-19 vaccination rollout in the USA: an online survey study

Cited by 13 publications

References 9 publications

Health Behaviours among Travellers Regarding Risk Compensation Following COVID-19 Vaccination in Taizhou, China

Health Behaviours among Travellers Regarding Risk Compensation Following COVID-19 Vaccination in Taizhou, China

Distinguishing Immunologic and Behavioral Effects of Vaccination

COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India

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