Dataset Information

Mistrust in biomedical research and vaccine hesitancy: the forefront challenge in the battle against COVID-19 in Italy.

ABSTRACT: Researchers have been working quickly and collaboratively for the development of vaccines against the COVID-19 virus. The effort of the scientific community in searching a vaccine for COVID-19 may be hampered by a diffused vaccine hesitancy. Two waves of data collection on representative samples of the Italian population (during the "first" and "second" phase of the Italian Covid-19 mitigation strategy) were conducted to understand citizens' perceptions and behaviors about preventive behaviors willingness to vaccine for COVID-19. Our study shows that willingness to COVID-19 vaccine is correlated to trust in research and in vaccines, which decreased between phase 1 and phase 2 of the Italian pandemic. According to the results of our study, the proportion of citizens that seem to be intentioned to get the Covid-19 vaccine is probably too small to effectively stop the spreading of the disease. This requires to foster a climate of respectful mutual trust between science and society, where scientific knowledge is not only preached but also cultivated and sustained thanks to the emphatic understanding of citizens worries, needs of reassurance and health expectations.

SUBMITTER: Palamenghi L

PROVIDER: S-EPMC7431109 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Mistrust in biomedical research and vaccine hesitancy: the forefront challenge in the battle against COVID-19 in Italy.

Palamenghi Lorenzo L Barello Serena S Boccia Stefania S Graffigna Guendalina G

European journal of epidemiology 20200817 8

Researchers have been working quickly and collaboratively for the development of vaccines against the COVID-19 virus. The effort of the scientific community in searching a vaccine for COVID-19 may be hampered by a diffused vaccine hesitancy. Two waves of data collection on representative samples of the Italian population (during the "first" and "second" phase of the Italian Covid-19 mitigation strategy) were conducted to understand citizens' perceptions and behaviors about preventive behaviors w ...[more]

PMID: 32808095

Similar Datasets

Project description:BACKGROUND:Throughout the 5000-year history of China, more than 300 epidemics were recorded. Traditional Chinese herbal medicine (TCM) has been used effectively to combat each of these epidemics' infections, and saved many lives. To date, there are hundreds of herbal TCM formulae developed for the purpose of prevention and treatment during epidemic infections. When COVID-19 ravaged the Wuhan district in China in early January 2020, without a deep understanding about the nature of COVID-19, patients admitted to the TCM Hospital in Wuhan were immediately treated with TCM and reported later with >90% efficacy. APPROACH:We conducted conduct a systematic survey of various TCM herbal preparations used in Wuhan and to review their efficacy, according to the published clinical data; and, secondly, to find the most popular herbs used in these preparations and look into the opportunity of future research in the isolation and identification of bioactive natural products for fighting COVID-19. RESULTS:Although bioactive natural products in these herbal preparations may have direct antiviral activities, TCM employed for fighting epidemic infections was primarily based on the TCM theory of restoring the balance of the human immune system, thereby defeating the viral infection indirectly. In addition, certain TCM teachings relevant to the meridian system deserve better attention. For instance, many TCM herbal preparations target the lung meridian, which connects the lung and large intestine. This interconnection between the lung, including the upper respiratory system, and the intestine, may explain why certain TCM formulae showed excellent relief of lung congestion and diarrhea, two characteristics of COVID-19 infection. CONCLUSION:There is good reason for us to learn from ancient wisdom and accumulated clinical experience, in combination with cutting edge science and technologies, to fight with the devastating COVID-19 pandemic now and emerging new coronaviruses in the future.

Project description:Vaccine hesitancy, associated with medical mistrust, confidence, complacency and knowledge of vaccines, presents an obstacle to the campaign against the coronavirus disease 2019 (COVID-19). The relationship between vaccine hesitancy and conspiracy beliefs may be a key determinant of the success of vaccination campaigns. This study provides a conceptual framework to explain the impact of pathways from conspiracy beliefs to COVID-19 vaccine hesitancy with regard to medical mistrust, confidence, complacency and knowledge of vaccines. A non-probability study was conducted with 1015 respondents between 17 April and 28 May 2021. Conspiracy beliefs were measured using the coronavirus conspiracy scale of Coronavirus Explanations, Attitudes, and Narratives Survey (OCEANS), and vaccine conspiracy beliefs scale. Medical mistrust was measured using the Oxford trust in doctors and developers questionnaire, and attitudes to doctors and medicine scale. Vaccine confidence and complacency were measured using the Oxford COVID-19 vaccine confidence and complacency scale. Knowledge of vaccines was measured using the vaccination knowledge scale. Vaccine hesitancy was measured using the Oxford COVID-19 vaccine hesitancy scale. Confirmatory factor analysis (CFA) was used to evaluate the measurement models for conspiracy beliefs, medical mistrust, confidence, complacency, and knowledge of vaccines and vaccine hesitancy. The structural equation modeling (SEM) approach was used to analyze the direct and indirect pathways from conspiracy beliefs to vaccine hesitancy. Of the 894 (88.1%) respondents who were willing to take the COVID-19 vaccine without any hesitancy, the model fit with the CFA models for conspiracy beliefs, medical mistrust, confidence, complacency and knowledge of vaccines, and vaccine hesitancy was deemed acceptable. Conspiracy beliefs had significant direct (β = 0.294), indirect (β = 0.423) and total (β = 0.717) effects on vaccine hesitancy; 41.0% of the total effect was direct, and 59.0% was indirect. Conspiracy beliefs significantly predicted vaccine hesitancy by medical mistrust (β = 0.210), confidence and complacency (β = 0.095), knowledge (β = 0.079) of vaccines, explaining 29.3, 11.0, and 13.2% of the total effects, respectively. Conspiracy beliefs significantly predicted vaccine hesitancy through the sequential mediation of knowledge of vaccines and medical mistrust (β = 0.016), explaining 2.2% of the total effects. Conspiracy beliefs significantly predicted vaccine hesitancy through the sequential mediation of confidence and complacency, and knowledge of vaccines (β = 0.023), explaining 3.2% of the total effects. The SEM approach indicated an acceptable model fit (χ2/df = 2.464, RMSEA = 0.038, SRMR = 0.050, CFI = 0.930, IFI = 0.930). The sample in this study showed lower vaccine hesitancy, and this study identified pathways from conspiracy beliefs to COVID-19 vaccine hesitancy in China. Conspiracy beliefs had direct and indirect effects on vaccine hesitancy, and the indirect association was determined through medical mistrust, confidence, complacency, and knowledge of vaccines. In addition, both direct and indirect pathways from conspiracy beliefs to vaccine hesitancy were identified as intervention targets to reduce COVID-19 vaccine hesitancy.

Dataset Information

Mistrust in biomedical research and vaccine hesitancy: the forefront challenge in the battle against COVID-19 in Italy.

Publications

Mistrust in biomedical research and vaccine hesitancy: the forefront challenge in the battle against COVID-19 in Italy.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets