Trust in a COVID-19 vaccine in the U.S.: A social-ecological perspective.
Ontology highlight
ABSTRACT:
SUBMITTER: Latkin CA
PROVIDER: S-EPMC7834519 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Publications
Trust in a COVID-19 vaccine in the U.S.: A social-ecological perspective.
Latkin Carl A CA Dayton Lauren L Yi Grace G Konstantopoulos Arianna A Boodram Basmattee B
Social science & medicine (1982) 20210108
Similar Datasets
Project description:This article uses novel data collected on a weekly basis covering more than 35,000 individuals in the EU to analyze the relationship between trust in various dimensions and COVID-19 vaccine hesitancy. We found that trust in science is negatively correlated, while trust in social media and the use of social media as the main source of information are positively associated with vaccine hesitancy. High trust in social media is found among adults aged 65+, financially distressed and unemployed individuals, and hesitancy is largely explained by conspiracy beliefs among them. Finally, we found that the temporary suspension of the AstraZeneca vaccine in March 2021 significantly increased vaccine hesitancy and especially among people with low trust in science, living in rural areas, females, and financially distressed. Our findings suggest that trust is a key determinant of vaccine hesitancy and that pro-vaccine campaigns could be successfully targeted toward groups at high risk of hesitancy.
| S-EPMC10245358 | biostudies-literature
Project description:As COVID-19 vaccines are rolled out across the world, there are growing concerns about the roles that trust, belief in conspiracy theories, and spread of misinformation through social media play in impacting vaccine hesitancy. We use a nationally representative survey of 1476 adults in the UK between 12 and 18 December 2020, along with 5 focus groups conducted during the same period. Trust is a core predictor, with distrust in vaccines in general and mistrust in government raising vaccine hesitancy. Trust in health institutions and experts and perceived personal threat are vital, with focus groups revealing that COVID-19 vaccine hesitancy is driven by a misunderstanding of herd immunity as providing protection, fear of rapid vaccine development and side effects, and beliefs that the virus is man-made and used for population control. In particular, those who obtain information from relatively unregulated social media sources-such as YouTube-that have recommendations tailored by watch history, and who hold general conspiratorial beliefs, are less willing to be vaccinated. Since an increasing number of individuals use social media for gathering health information, interventions require action from governments, health officials, and social media companies. More attention needs to be devoted to helping people understand their own risks, unpacking complex concepts, and filling knowledge voids.
| S-EPMC8226842 | biostudies-literature
Project description:With the tourism and hospitality sector reopening post-lockdown of COVID-19, the recovery of customers' purchase intentions is essential to reboot the sector. This study aims to examine the relationship between social distancing measures and purchase intentions in the UK's restaurant and hotel sectors using a propensity score weighting experimental design method. The findings suggest that the impact of social distancing measures on purchase intentions is mediated by the trust in the targeted restaurant and hotel. Risk tolerance significantly moderates the influence of social distancing measures on trust; (non-) cash promotions have an insignificant impact on purchase intentions. The introduction of the propensity score weighting scheme addresses the endogeneity caused by the sampling bias in non-probability sampling experiment studies.
| S-EPMC8490006 | biostudies-literature
Project description:ObjectiveWe consider how trust in government, trust in physicians, and interpersonal trust affect the likelihood of COVID-19 vaccine uptake.MethodsA survey of 3057 registered South Dakota voters was fielded in April 2021 that measured COVID-19 vaccine uptake, three aspects of trust, and several other factors related to vaccine hesitancy. Logistic regression was utilized to analyze the responses.ResultsWe found positive, statistically significant, and substantively impactful effects for trust in government and trust in physicians on the likelihood of COVID-19 vaccine uptake, and null results for interpersonal trust.ConclusionsOur findings provide a more nuanced understanding of the relationship between trust and COVID-19 vaccine uptake, and suggest that public health official as well as physicians should strive to increase the public's trust in the medical community.
| S-EPMC9115527 | biostudies-literature
Project description:The understanding of the public response to COVID-19 vaccines is the key success factor to control the COVID-19 pandemic. To understand the public response, there is a need to explore public opinion. Traditional surveys are expensive and time-consuming, address limited health topics, and obtain small-scale data. Twitter can provide a great opportunity to understand public opinion regarding COVID-19 vaccines. The current study proposes an approach using computational and human coding methods to collect and analyze a large number of tweets to provide a wider perspective on the COVID-19 vaccine. This study identifies the sentiment of tweets using a machine learning rule-based approach, discovers major topics, explores temporal trend and compares topics of negative and non-negative tweets using statistical tests, and discloses top topics of tweets having negative and non-negative sentiment. Our findings show that the negative sentiment regarding the COVID-19 vaccine had a decreasing trend between November 2020 and February 2021. We found Twitter users have discussed a wide range of topics from vaccination sites to the 2020 U.S. election between November 2020 and February 2021. The findings show that there was a significant difference between tweets having negative and non-negative sentiment regarding the weight of most topics. Our results also indicate that the negative and non-negative tweets had different topic priorities and focuses. This research illustrates that Twitter data can be used to explore public opinion regarding the COVID-19 vaccine.
| S-EPMC8540945 | biostudies-literature
Project description:This study examines the relationship between statewide contexts and individuals’
| S-EPMC9561503 | biostudies-literature
Project description:Immunization by vaccination is one of the most important tools for fighting the COVID-19 pandemic. Yet in many countries, immunization campaigns have been hampered by vaccine hesitancy within the population. Building on the idea that vaccination decisions are embedded in the broader societal context, we study the role of generalized trust-the belief that most people can generally be trusted-in vaccine acceptance. Immunization campaigns face an inherent collective action problem: As all individuals benefit collectively from high immunization rates regardless of individual contribution, especially those with a low risk of severe COVID infection have an incentive to decide against the (perceived) costs and risks of vaccination. We argue that generalized trust may help to overcome this problem by encouraging the belief that cooperation for the common good is achievable and that those who cooperate are unlikely to be exploited by others. We further argue that the positive effect of generalized trust on vaccination decisions is weaker among individuals who are at higher risk of severe outcomes from the disease, as the collective action problem is less pronounced in this group. To test our predictions, we used data from the SOEP-CoV survey, which queried a representative probability sample of Germany's population between January and February 2021 on topics connected to the pandemic. Using multiple logistic regression models, and in line with expectations, we found a positive and robust link between generalized trust and the willingness to accept vaccination as soon as offered. However, overall, our examination of heterogeneous effects does not unequivocally support the idea that the role of generalized trust varies according to individual COVID risk.
| S-EPMC9779038 | biostudies-literature
Project description:The study investigates the relationship between trust in social media and beliefs and preventive behaviours in the context of the COVID-19 pandemic. We surveyed 1008 respondents in South Africa to study how trust in social media relative to other information sources predicts perceived risk and adoption of preventive behaviours. Although engagement with and trust in social media do not predict less adoption of preventive behaviours, trusting information from social media more than information from mass media or scientists is associated with less risk perception from COVID-19 and reduces the adoption of preventive behaviours (including vaccines).
| S-EPMC9560499 | biostudies-literature
Project description:In the last two years, the coronavirus disease 19 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been a scientific and social challenge worldwide. Vaccines have been the most effective intervention for reducing virus transmission and disease severity. However, virus genetic variants are still circulating among vaccinated individuals with different symptomatology disease cases. Understanding the protective or disease associated mechanisms in vaccinated individuals is relevant to advance in vaccine development and implementation. To address this objective, serum protein profiles were characterized by quantitative proteomics and data analysis algorithms in four cohorts of vaccinated individuals uninfected and SARS-CoV-2 infected with asymptomatic, nonsevere and severe disease symptomatology. The results showed that immunoglobulins were the most overrepresented proteins in infected cohorts when compared to PCR-negative individuals. The immunoglobulin profile varied between different infected cohorts and correlated with protective or disease associated capacity. Overrepresented immunoglobulins in PCR-positive individuals correlated with protective response against SARS-CoV-2, other viruses, and thrombosis in asymptomatic cases. In nonsevere cases, correlates of protection against SARS-CoV-2 and HBV together with risk of myasthenia gravis and allergy and autoantibodies were observed. Patients with severe symptoms presented risk for allergy, chronic idiopathic thrombocytopenic purpura, and autoantibodies. The analysis of underrepresented immunoglobulins in PCR-positive compared to PCR-negative individuals identified vaccine-induced protective epitopes in various coronavirus proteins including the Spike receptor-binding domain RBD. Non-immunoglobulin proteins were associated with COVID-19 symptoms and biological processes. These results evidence host-associated differences in response to vaccination and the possibility of improving vaccine efficacy against SARS-CoV-2.
2022-10-14 | PXD031969 | Pride
Project description:Motivated by current debates over the relationship between epidemic and trust, this paper estimates the short-term effects of the Covid-19 pandemic on general trust, political trust, and trust in physicians in China. Using an individual-level national longitude dataset, results from the Difference-in-Difference estimation show that greater exposure to Covid-19 risks significantly decreased general and political trust among the Chinese population, except for the younger generation (age 8-22). Higher exposure to Covid-19 in malleable ages of trust formation (age 8-22) may worsen individuals' general trust but improve their trust in local officials and physicians. Results from heterogeneity tests reveal that Covid-19 exacerbated general trust among the vulnerable groups, whereas their political trust was stable.
| S-EPMC9789548 | biostudies-literature