Scaling up the discovery of hesitancy profiles by identifying the framing of beliefs towards vaccine confidence in Twitter discourse

Unveiling the complexity of vaccine hesitancy: A narrative review focusing on dengue vaccination

Dengue vaccines face significant challenges, including safety concerns, which contribute to vaccine hesitancy. Addressing this complex issue requires targeted strategies to overcome existing barriers. Through an extensive review of current evidence, we identified key factors contributing to vaccine hesitancy and explored strategies to enhance global vaccine uptake. Four conceptual models and five assessment tools were identified to understand and measure vaccine hesitancy. Among the factors, "confidence" emerged as the most influential, followed by "complacency." Vaccine acceptance rates varied widely, ranging from 53% to 95%, depending on the region and population. Key determinants included population characteristics, concerns about efficacy and safety, among others. A comprehensive understanding of these factors is essential to improve vaccine acceptance, support dengue prevention efforts, and ensure public health success.

The Role of Internet Information on Anti-HPV Vaccines: A Comprehensive Overview of a Double-Edged Sword

Cervical cancer (CC) is the only cancer that has the possibility of primary and secondary prevention. Despite this, it is one of the leading causes of cancer death among women, especially in developing countries. The World Health Organization has set the ambitious goal of eliminating CC by 2030 by suggesting specific types of intervention. Unfortunately, to date, we are very far from this goal at a global level, including developed countries. Implementing vaccination coverage among the target population is one of the strategies to be pursued in this area. Achieving this goal should include combating misinformation about the HPV vaccine, which is one of the main reasons for vaccination hesitancy. Such conspiracy theories are prevalent on social media, one of the primary sources of information for adults and adolescents today. In this regard, the Internet plays a significant role in disseminating information about the HPV vaccine, both positively and negatively. The Internet provides easy access to information about the HPV vaccine, including its safety, efficacy, recommended dosing schedule, and potential side effects. It may promote vaccine advocacy and debunking vaccine myths. On the other hand, the Internet may be the place for disseminating misinformation and influencing vaccine decision making. It is a double-edged sword in shaping public discourse and perceptions about the HPV vaccine. This overview aims to assess the literature on this topic in depth to promote evidence-based information, analyze the social channels through which misinformation spreads, and leverage digital health interventions essential for promoting HPV vaccination and reducing the burden of HPV-related diseases.

Broad perspectives in understanding vaccine hesitancy and vaccine confidence: an introduction to the special issue

The World Health Organization has designated vaccine hesitancy and vaccine confidence among the most pressing issues in global health. The COVID-19 pandemic has made vaccine hesitancy and vaccine confidence particularly salient and urgent. The purpose of this special issue is to highlight a broad range of perspectives on these critical issues. We have included a total of 30 papers that address issues related to vaccine hesitancy and vaccine confidence across multiple levels of the Socio-Ecological Model. We have organized the empirical papers into the following sections: individual-level beliefs, minority health and health disparities, social media and conspiracy beliefs, and interventions. In addition to the empirical papers, three commentaries are included in this special issue.

Exploring Public Discussions Regarding COVID-19 Vaccinations on Microblogs in China: Findings from Machine Learning Algorithms

Large-scale, widespread COVID-19 vaccination is the most effective means of cutting off the spread of the novel coronavirus and establishing an immune barrier. Due to the large population base in China, it has been a very difficult task to establish such an immune barrier. Therefore, this study aims to explore the public's discussions related to COVID-19 vaccinations on microblogs and to detect their sentiments toward COVID-19 vaccination so as to improve the vaccination rate in China. This study employed machine learning methods in the field of artificial intelligence to analyze mass data obtained from SinaWeibo. A total of 1,478,875 valid microblog texts were collected between December 2020 and June 2022, the results of which indicated that: (1) overall, negative texts (38.7%) slightly outweighed positive texts (36.1%); "Good" (63%) dominated positive texts, while "disgust" (44.6%) and "fear" (35.8%) dominated negative texts; (2) six overarching themes related to COVID-19 vaccination were identified: public trust in the Chinese government, changes in daily work and study, vaccine economy, international COVID-19 vaccination, the COVID-19 vaccine's R&D, and COVID-19 vaccination for special groups. These themes and sentiments can clarify the public's reactions to COVID-19 vaccination and help Chinese officials' response to vaccine hesitancy. Furthermore, this study seeks to make up for the lack of focus on big data in public health and epidemiology research, and to provide novel insights for future studies.