scholarly journals Public Perceptions and Acceptance of COVID-19 Booster Vaccination in China: A Cross-Sectional Study

Vaccines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1461
Author(s):  
Xiaozhen Lai ◽  
He Zhu ◽  
Jiahao Wang ◽  
Yingzhe Huang ◽  
Rize Jing ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Health Belief ◽  
Booster Vaccination ◽  
Vaccine Safety ◽  
Cross Sectional Study ◽  
Public Acceptance ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Logistic Analysis ◽  
Belief Model

Coronavirus disease 2019 (COVID-19) booster vaccination has been proposed in response to the new challenges of highly contagious variants, yet few studies have examined public acceptance of boosters. This study examined public acceptance of COVID-19 booster vaccination and its influencing factors by using the data from a self-administered online cross-sectional survey conducted in June 2021 in China. Multiple logistic analysis was used to examine the influencing factors of booster acceptance based on the health belief model (HBM). Among 1145 respondents, 84.80% reported to accept COVID-19 booster vaccination. Having COVID-19 vaccination history, perceiving high benefits and low barriers to booster vaccination, being younger (18–30 vs. 41–50), having a lower education level, being employed, and belonging to priority groups for vaccination were associated with increased odds of booster acceptance. The primary reason for refusing booster vaccination was concern about vaccine safety. The vast majority (92.8%) of respondents reported an annual willingness to pay between 0 and 300 CNY (0–46.29 USD) if the booster was not free. Our findings suggest that the acceptance rate of booster vaccination is relatively high in China, and the HBM-based analysis reveals that more efforts are needed to increase perceived benefits and reduce perceived barriers of vaccination to design effective and proper vaccination extension strategies when boosters become widely recommended.

scholarly journals COVID-19 vaccination intent and willingness to pay in Bangladesh: a cross-sectional study

2021 ◽  
Author(s):  
Ilias Mahmud ◽  
Mohammad Tawfique Hossain Chowdhury ◽  
Divya Vinnakota ◽  
Shah Saif Jahan ◽  
Ehsanul Hoque Apu ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Research Work ◽  
Health Belief ◽  
Cross Sectional Study ◽  
Demographic Variables ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Belief Model ◽  
To Receive ◽  
Median Amount

Abstract Aim: This article reports the intent to receive a COVID-19 vaccine, its predictors and willingness to pay in Bangladesh. Subject and Methods: We did a cross-sectional survey of 697 adults in January 2021. A structured questionnaire was used to assess vaccination intent. Questionnaire included potential socio-demographic variables and health belief model constructs which may predict vaccination intent.Results: Among the participants, 25.5% demonstrated a definite intent, 43% probable intent, 24% probable negative, and 7.5% a definite negative intention. Multivariable logistic regression analyses suggest association between definite intent and previous COVID-19 infection (OR: 2.86; 95% CI: 1.71 – 4.78), perceiving COVID-19 as serious (OR: 1.93; 1.04 – 3.59), the belief that vaccination would make them feel less worried about COVID-19 (OR: 4.42; 2.25 – 8.68), and concerns about vaccine affordability (OR: 1.51; 1.01 – 2.25). Individuals afraid of the side effects (OR: 0.34; 0.21 – 0.53) and would take the vaccine if the vaccine were taken by many in public (OR: 0.44; 0.29 – 0.67) are less likely to have a definite intent. A definite negative intent is associated with the concern that the vaccine may not be halal (OR: 2.03; 1.04 – 3.96). 68.4% are willing to pay for vaccine. The median amount they are willing to pay is $7.08. Conclusion: Adequate monitoring to stop the spreading of misinformation, and further research work to understand challenges in making a new vaccine acceptable by the population are needed.

scholarly journals Predictors of Intention to Vaccinate against COVID-19 in the General Public in Hong Kong: Findings from a Population-Based, Cross-Sectional Survey

Vaccines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 696
Author(s):  
Elsie Yan ◽  
Daniel W. L. Lai ◽  
Vincent W. P. Lee
Keyword(s):  
Hong Kong ◽  
Health Belief ◽  
Vaccine Safety ◽  
Population Based ◽  
Cross Sectional Study ◽  
Vaccine Hesitancy ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Factors Associated ◽  
To Receive

Vaccination is one of the most effective ways to stop the spread of COVID-19. Understanding factors associated with intention to receive COVID-19 vaccines is the key to a successful vaccination programme. This cross-sectional study explored the rate of vaccination intention and identified its predictors using the health belief model (HBM) in the general population in Hong Kong during the pandemic. Data were collected between December 2020 and January 2021 via telephone surveys. Hierarchical logistic regression analysis was used to identify factors associated with intention to receive COVID-19 vaccines. A total of 1255 adults (>18 years, 53% female) completed the telephone survey. Overall, 42% indicated an intention to vaccinate, 31.5% showed vaccine hesitancy, and 26.5% reported refusal to receive any COVID-19 vaccines. Individuals who were men, older in age, working, with past experiences of other pandemics, less concerned with the vaccine safety, with poorer knowledge about COVID-19, and having greater levels of perceived susceptibility, self-efficacy, cues to action, and acceptance of governmental preventive measures related to COVID-19 were significantly more likely to report an intention to vaccinate. The low intention among the Hong Kong population reflects the importance of developing effective vaccination promotion campaigns with the predictors identified in this study.

scholarly journals COVID-19 Vaccination Intent and Willingness to Pay in Bangladesh: A Cross-Sectional Study

Vaccines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 416
Author(s):  
Russell Kabir ◽  
Ilias Mahmud ◽  
Mohammad Tawfique Hossain Chowdhury ◽  
Divya Vinnakota ◽  
Shah Saif Jahan ◽  
...  
Keyword(s):  
General Population ◽  
Willingness To Pay ◽  
Health Beliefs ◽  
Health Belief ◽  
Cross Sectional Study ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Sociodemographic Variables ◽  
Belief Model ◽  
To Receive

This article reports the intent to receive a SARS-COV-2 vaccine, its predictors and willingness to pay in Bangladesh. We carried out an online cross-sectional survey of 697 adults from the general population of Bangladesh in January 2021. A structured questionnaire was used to assess vaccination intent. The questionnaire included sociodemographic variables and health belief model constructs which may predict vaccination intent. Among the participants, 26% demonstrated a definite intent, 43% probable intent, 24% probable negative, and 7% a definite negative intention. Multivariable logistic regression analyses suggest an association between definite intent and previous COVID-19 infection (OR: 2.86; 95% CI: 1.71–4.78), perceiving COVID-19 as serious (OR: 1.93; 1.04–3.59), the belief that vaccination would make them feel less worried about catching COVID-19 (OR: 4.42; 2.25–8.68), and concerns about vaccine affordability (OR: 1.51; 1.01–2.25). Individuals afraid of the side effects (OR: 0.34; 0.21–0.53) and those who would take the vaccine if the vaccine were taken by many others (OR: 0.44; 0.29–0.67) are less likely to have a definite intent. A definite negative intent is associated with the concern that the vaccine may not be halal (OR: 2.03; 1.04–3.96). Furthermore, 68.4% are willing to pay for the vaccine. The median amount that they are willing to pay is USD 7.08. The study findings reveal that the definite intent to receive the SARS-CoV-2 vaccination among the general population varies depending on their COVID-19-related health beliefs and no significant association was found with sociodemographic variables.

Intention to Vaccinate against COVID-19: a Social Marketing perspective using the Theory of Planned Behaviour and Health Belief Model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kojo Kakra Twum ◽  
Daniel Ofori ◽  
Gloria Kakrabah-Quarshie Agyapong ◽  
Andrews Agya Yalley
Keyword(s):  
Health Belief Model ◽  
Social Marketing ◽  
Online Survey ◽  
Theory Of Planned Behaviour ◽  
Health Belief ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Planned Behaviour ◽  
Content Type ◽  
Belief Model

Purpose This study examines the factors influencing intention to vaccinate against COVID-19 in a developing country context using the theory of planned behaviour (TPB) and health belief model (HBM). Design/methodology/approach Through a cross-sectional survey design, the study adopted a quantitative approach to data collection and analysis. The study used an online survey to collect data from 478 respondents eligible to take the COVID-19 vaccine in Ghana. Findings Attitude, social norm, perceived behavioural control, perceived susceptibility and cues to action were found to be predictors of COVID-19 vaccination intention. The results also showed that perceived severity, perceived benefits and perceived barriers did not predict COVID-19 vaccination intention. Practical implications To enhance the effectiveness of COVID-19 social marketing campaigns, social marketing theories such as the TPB and HBM can aid in assessing the intention of the target population to take the vaccines. An assessment of vaccination intention will help understand disease threat perception and behavioural evaluation. The consideration of the effect of demography on vaccination intention will aid in developing effective campaigns to satisfy the needs of segments. Originality/value This study adds to the limited research on understanding citizens’ intention to vaccinate against COVID-19 by combining the TPB and HBM to predict vaccination intention. The study contributes towards the use of social marketing practices to enhance the efficacy of vaccination campaigns.

scholarly journals Perceived threats towards COVID-19 pandemic among Nepali migrant workers returned from India

2021 ◽  
Vol 9 (01) ◽  
pp. 87-99
Author(s):  
Shanti Prasad Khanal ◽  
Edwin Van Teijlingen ◽  
Mohan Kumar Sharma ◽  
Jib Acharya ◽  
Sharma Sharma
Keyword(s):  
Migrant Workers ◽  
Health Workers ◽  
Health Belief ◽  
Personal Characteristics ◽  
Cross Sectional Study ◽  
Protective Behavior ◽  
Cross Sectional ◽  
Perceived Susceptibility ◽  
Belief Model ◽  
The Health Belief Model

Evidence shows that the seasonal migrants returned from India have been a source of COVID-19, which helped spread it across Nepal. This cross-sectional study, guided by the Health Belief Model (HBM) model, that people's underlying believes in this case around COVID-19, is determined by a large extend their subsequent behaviors. This study aimed to examine the association between personal characteristics and perceived threats regarding COVID-19 among 384 seasonal migrants who had returned from India and were staying in a quarantine center in Surkhet, Nepal. A questionnaire was used with the help of three health workers working in the Quarantine Center. A five-point sequential grade Likert scale was constructed based on two HBM constructs, like 'perceived susceptibility' and ‘severity.' A score ≥ of 50% was designated as high, and ≤ 50% as a perceived low level of threat. Univariate and bivariate analyses were performed to interpret the data using SPSS 20 version. Generally, participants regarded the threat of COVID-19 as low. The severity of COVID-19 was thought to be greater than the vulnerability of the subjects. Gender, age, caste, education, health status, and perceived susceptibility did not correlate with perceived susceptibility. However, the participants’ demographic characteristics were associated with their perceived level of severity. Therefore, this study calls for proper risk communication to people who returned from abroad, as this is essential in promoting protective behavior during a pandemic outbreak. 

scholarly journals Factors Associated With the Experience of Cognitive Training Apps for the Prevention of Dementia: Cross-sectional Study Using an Extended Health Belief Model

10.2196/31664 ◽  
2022 ◽  
Vol 24 (1) ◽  
pp. e31664
Author(s):  
Jaegyeong Lee ◽  
Jung Min Lim
Keyword(s):  
Health Belief Model ◽  
Cognitive Training ◽  
Online Survey ◽  
Mobile Apps ◽  
Health Belief ◽  
Female Gender ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Belief Model

Background The prevalence and economic burden of dementia are increasing dramatically. Using information communication technology to improve cognitive functions is proven to be effective and holds the potential to serve as a new and efficient method for the prevention of dementia. Objective The aim of this study was to identify factors associated with the experience of mobile apps for cognitive training in middle-aged adults. We evaluated the relationships between the experience of cognitive training apps and structural variables using an extended health belief model. Methods An online survey was conducted on South Korean participants aged 40 to 64 years (N=320). General characteristics and dementia knowledge were measured along with the health belief model constructs. Statistical analysis and logistic regression analysis were performed. Results Higher dementia knowledge (odds ratio [OR] 1.164, P=.02), higher perceived benefit (OR 1.373, P<.001), female gender (OR 0.499, P=.04), and family history of dementia (OR 1.933, P=.04) were significantly associated with the experience of cognitive training apps for the prevention of dementia. Conclusions This study may serve as a theoretical basis for the development of intervention strategies to increase the use of cognitive training apps for the prevention of dementia.

scholarly journals Prevalence of Overconsumption of Salt and its Determinants – The Case of Southwestern Rural China

2020 ◽  
Vol 5 (1) ◽  
pp. 30-42
Author(s):  
Tony Ka chun YUNG ◽  
Rainbow Hiu yan MOK
Keyword(s):  
Cardiovascular Diseases ◽  
Salt Intake ◽  
Rural China ◽  
Health Belief ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Southwestern China ◽  
Cross Sectional ◽  
Salt Consumption ◽  
Belief Model

Aim Overconsumption of salt contributes to hypertension and increases the risks of cardiovascular diseases. Most studies that investigated salt intake by applying the Health belief model (HBM) have focused on urban settings. This study aims to identify the prevalence of salt overconsumption (>6 g per day) in a rural village in Southwestern China and to determine the association between knowledge regarding salt consumption/HBM constructs and salt overconsumption behavior among village residents. Methods Inthis cross-sectional study, 79 adults aged 18 years and above were interviewed using household-based and face-to-face questionnaires. Salt intake was measured using an electronic balance in accordance with a previous protocol. Results Our finding showed that the average daily salt intake is 11.19±11.14 (mean±SD) g. Moreover, 64.6% of the participants overconsumed salt. None of the participants was aware of the national recommendation for salt intake. Univariate logistic regression showed that i) knowledge about hypertension causing cardiovascular diseases (odds ratio [ORu]=3.02), ii) perceived severity of hypertension as a serious disease (ORu=4.92), and iii) perceived benefit of reducing salt intake to prevent hypertension (ORu=3.52) were unexpectedly positively associated with salt overconsumption behavior. All the studied sociodemographic factors were not associated with salt overconsumption behavior. Conclusions A high prevalence of salt overconsumption was found among residents of rural villages in Southwestern China. HBM was unable to explain the causal relationship between its constructs and salt overconsumption behavior. The extremely low awareness of the national salt recommendation highlighted the urgent need to provide relevant health education in rural China.

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