Vaccine hesitancy and Web 2.0: Exploring how attitudes and beliefs about influenza vaccination are exchanged in online threaded user comments

Vaccine Hesitancy in Taiwan: Temporal, Multilayer Network Study of Echo Chambers Shaped by Influential Users

BACKGROUND

Vaccine hesitancy is a growing global health threat that is increasingly studied through the monitoring and analysis of social media platforms. One understudied area is the impact of echo chambers and influential users on disseminating vaccine information in social networks. Assessing the temporal development of echo chambers and the influence of key users on their growth provides valuable insights into effective communication strategies to prevent increases in vaccine hesitancy. This also aligns with the World Health Organization's (WHO) infodemiology research agenda, which aims to propose new methods for social listening.

OBJECTIVE

Using data from a Taiwanese forum, this study aims to examine how engagement patterns of influential users, both within and across different COVID-19 stances, contribute to the formation of echo chambers over time.

METHODS

Data for this study come from a Taiwanese forum called PTT. All vaccine-related posts on the "Gossiping" subforum were scraped from January 2021 to December 2022 using the keyword "vaccine." A multilayer network model was constructed to assess the existence of echo chambers. Each layer represents either provaccination, vaccine hesitant, or antivaccination posts based on specific criteria. Layer-level metrics, such as average diversity and Spearman rank correlations, were used to measure chambering. To understand the behavior of influential users-or key nodes-in the network, the activity of high-diversity and hardliner nodes was analyzed.

RESULTS

Overall, the provaccination and antivaccination layers are strongly polarized. This trend is temporal and becomes more apparent after November 2021. Diverse nodes primarily participate in discussions related to provaccination topics, both receiving comments and contributing to them. Interactions with the antivaccination layer are comparatively minimal, likely due to its smaller size, suggesting that the forum is a "healthy community." Overall, diverse nodes exhibit cross-cutting engagement. By contrast, hardliners in the vaccine hesitant and antivaccination layers are more active in commenting within their own communities. This trend is temporal, showing an increase during the Omicron outbreak. Hardliner activity potentially reinforces their stances over time. Thus, there are opposing forces of chambering and cross-cutting.

CONCLUSIONS

Efforts should be made to moderate hardliner and influential nodes in the antivaccination layer and to support provaccination users engaged in cross-cutting exchanges. There are several limitations to this study. One is the bias of the platform used, and another is the lack of a comprehensive definition of "influence." To address these issues, comparative studies across different platforms can be conducted, and various metrics of influence should be explored. Additionally, examining the impact of influential users on network structure and chambering through network simulations and regression analysis provides more robust insights. The study also lacks an explanation for the reasons behind chambering trends. Conducting content analysis can help to understand the nature of engagement and inform interventions to address echo chambers. These approaches align with and further the WHO infodemic research agenda.

Cognitive, affective, and behavioral engagement with science news predicted by the use of accessibility strategies in science-minded and general audiences

Numerous studies have explored internal factors such as cultural values and acquired knowledge accounting for how people engage with science. However, it remains unclear how external factors embedded in science texts relate to audience engagement. A content analysis of 298 text-based popular science news articles and their following 5852 reader comments was conducted in two Israeli audiences, science-minded and general readers, to explore how the accessibility strategies embedded in these articles relate to cognitive, affective, and behavioral engagement. Findings indicated similar patterns of relationship between accessibility strategies and engagement expressions for both audiences; however, the relationships were more pronounced for general readers compared to science-minded readers. Using jargon and a narrative writing style increased the odds of positive emotions in reader comments, whereas addressing socio-scientific issues increased the odds of cognitive expressions. These results may contribute to a fuller understanding of ways to drive meaningful public engagement.

The Role of Scientific Research in Human Papillomavirus Vaccine Discussions on Twitter: Social Network Analysis

BACKGROUND

Attitudes toward the human papillomavirus (HPV) vaccine and accuracy of information shared about this topic in web-based settings vary widely. As real-time, global exposure to web-based discourse about HPV immunization shapes the attitudes of people toward vaccination, the spread of misinformation and misrepresentation of scientific knowledge contribute to vaccine hesitancy.

OBJECTIVE

In this study, we aimed to better understand the type and quality of scientific research shared on Twitter (recently rebranded as X) by vaccine-hesitant and vaccine-confident communities.

METHODS

To analyze the use of scientific research on social media, we collected tweets and retweets using a list of keywords associated with HPV and HPV vaccines using the Academic Research Product Track application programming interface from January 2019 to May 2021. From this data set, we identified tweets referring to or sharing scientific literature through a Boolean search for any tweets with embedded links, hashtags, or keywords associated with scientific papers. First, we used social network analysis to build a retweet or reply network to identify the clusters of users belonging to either the vaccine-confident or vaccine-hesitant communities. Second, we thematically assessed all shared papers based on typology of evidence. Finally, we compared the quality of research evidence and bibliometrics between the shared papers in the vaccine-confident and vaccine-hesitant communities.

RESULTS

We extracted 250 unique scientific papers (including peer-reviewed papers, preprints, and gray literature) from approximately 1 million English-language tweets. Social network maps were generated for the vaccine-confident and vaccine-hesitant communities sharing scientific research on Twitter. Vaccine-hesitant communities share fewer scientific papers; yet, these are more broadly disseminated despite being published in less prestigious journals compared to those shared by the vaccine-confident community.

CONCLUSIONS

Vaccine-hesitant communities have adopted communication tools traditionally wielded by health promotion communities. Vaccine-confident communities would benefit from a more cohesive communication strategy to communicate their messages more widely and effectively.

Public Attitudes Towards Vaccine Passports in Alberta During the "Pandemic of the Unvaccinated": A Qualitative Analysis of Reddit Posts

Objective: The goal of this study is to understand the attitudes and beliefs towards mandatory vaccination policies in Alberta, Canada in September 2021, during the fourth wave of COVID-19. Methods: 9400 posts between 1st September and 30th September 2021 were collected from the subreddit r/Alberta with Pushshift.io. Posts and comments were manually screened to determine their relevance to research objectives, and then coded using inductive coding and iterative qualitative analysis methods. Results: Inductive coding methods yielded five key themes: 1) opinions related to autonomy and consent, 2) concerns about COVID-19 vaccine passport enforcement, 3) concerns about government, 4) concerns about the logistics of passports, and 5) opinions relating to the necessity of passports to prevent lockdowns. Conclusion: Overall, the data presented favorable opinions towards an Albertan vaccine passport within r/Alberta. Anti-vaccine and anti-mandate opinions were often less extreme than those present in the literature, although this may be due to r/Alberta subreddit moderators removing those more extreme comments. Most reservations were due to issues of bodily autonomy, though concerns about the government and logistics also played a meaningful role.

A taxonomy of anti-vaccination arguments from a systematic literature review and text modelling

The proliferation of anti-vaccination arguments is a threat to the success of many immunization programmes. Effective rebuttal of contrarian arguments requires an approach that goes beyond addressing flaws in the arguments, by also considering the attitude roots-that is, the underlying psychological attributes driving a person's belief-of opposition to vaccines. Here, through a pre-registered systematic literature review of 152 scientific articles and thematic analysis of anti-vaccination arguments, we developed a hierarchical taxonomy that relates common arguments and themes to 11 attitude roots that explain why an individual might express opposition to vaccination. We further validated our taxonomy on coronavirus disease 2019 anti-vaccination misinformation, through a combination of human coding and machine learning using natural language processing algorithms. Overall, the taxonomy serves as a theoretical framework to link expressed opposition of vaccines to their underlying psychological processes. This enables future work to develop targeted rebuttals and other interventions that address the underlying motives of anti-vaccination arguments.

The Common Way in Which the Ministry of Health Conveys Information to the Public: A Simulation Among Israeli Parents with Different Attitudes and Behaviors Regarding Vaccination During a Measles Outbreak in Israel

BACKGROUND

Despite several empirical studies that have emphasized the problematic and ineffective way in which health organizations 'correct' information which does not come from them, they have not yet found ways to properly address vaccine hesitancy.

OBJECTIVES

(1) Examining the responses of groups with different attitudes/ behaviors regarding vaccination; (2) Examining the effect of the common methods of correcting information regarding the response of subgroups, while examining issues of reliability, satisfaction, and information seeking, as well as how health organization tools aid the decision-making process regarding vaccines.

METHODS

A simulation study that included 150 parents of kindergarten children was carried out.

RESULTS

Significant difference was found among the various groups (with respect to vaccination behavior) regarding the extent of their trust in the Ministry of Health (χ2(3) = 46.33; P < 0.0001), the reliability of the Ministry of Health's response (χ2(3) = 31.56; P < 0.0001), satisfaction with the Ministry of Health's response (χ2(3) = 25.25; P < 0.0001), and the level of help they felt the Ministry of Health's tools provided them regarding vaccine-related decision making (χ2(3) = 27.76; P < 0.0001).

CONCLUSION

It is important for health organizations to gain the public's trust, especially that of pro-vaccination groups with hesitant attitudes, while addressing the public's fears and concerns.

Analysis of individual characteristics influencing user polarization in COVID-19 vaccine hesitancy

During the COVID-19 pandemic, vaccine hesitancy proved to be a major obstacle in efforts to control and mitigate the negative consequences of COVID-19. This study centered on the degree of polarization on social media about vaccine use and contributing factors to vaccine hesitancy among social media users. Examining the discussion about COVID-19 vaccine on the Weibo platform, a relatively comprehensive system of user features was constructed based on psychological theories and models such as the curiosity-drive theory and the big five model of personality. Then machine learning methods were used to explore the paramount impacting factors that led users into polarization. Findings revealed that factors reflecting the activity and effectiveness of social media use promoted user polarization. In contrast, features reflecting users' information processing ability and personal qualities had a negative impact on polarization. This study hopes to help healthcare organizations and governments understand and curb social media polarization around vaccine development in the face of future surges of pandemics.

Scale Development for COVID-19 Vaccine Hesitancy by Integration of Socio-Demographic and Psychological Factors

Vaccination is the most cost-effective way to maintain population health. However, it can only be effective if widespread acceptance is held. The efficacy of COVID-19 vaccines depends on their favor. When countries start to vaccinate their citizens, there is a certain level of skepticism about the effectiveness of the vaccines. The hesitancy study on vaccines has gained momentum following the pandemic. However, few studies have examined the link between the psychological and sociodemographic factors influencing the fit. This paper proposes integrating the concepts of the information systems success and stimulus-organism-response into a cognitive fit theory framework to explore the integration of psychological and sociodemographic factors in the receivers' reactions (n = 1510). This study analyses the factors that influence the hesitancy of vaccines and the public's refusal in Asia and Europe. Receivers' reactions were assessed to various stimuli and we explored the link between psychological and sociodemographic elements and the concept of fit. Two surveys were conducted following the scale development of Mackenzie. The first was to develop the fit scale, while the second was to validate the fit scale. The results of the second survey were analyzed using structural equation modelling. The results indicate that the scale's fit development is valid and reliable. The quality of the vaccine information, the psychological characteristics of the vaccine system, and vaccine receivers' satisfaction are also beneficial factors for emotional and cognitive fit. Maintaining the vaccines' quality and efficiency can help improve the fit between sociodemographic and psychological characteristics. It can also enhance receivers' satisfaction and encourage continued vaccine administration. This study is regarded as one of the first to examine and develop an emotional and cognitive fit scale for practitioners and researchers.

(De)legitimation of COVID-19 vaccination narratives on Facebook comments in Romania: Beyond the co-occurrence patterns of discursive strategies

The postmodern medical paradigm has empowered online users in the (de)legitimating process of health-related topics. By employing a co-occurrence analysis, this study identifies the thematic patterns used by Romanian online users in their multimodal comments to the #storiesfromvaccination Facebook campaign run by the Romanian government. The findings show that the commenters assessed source credibility through two thematic patterns: 'source exemplarity' and 'source distrust'. Health experts were more legitimized than laypersons and role models as sources in the COVID-19 vaccination campaign. Two thematic patterns emerged in the assessment of vaccination, namely: 'immunization - past and present challenges' and 'vaccination supporter versus opponent cleavage'. In the discussion on immunization, a polarization between a nostalgic longing for the past and a present corrupted medical and political system prevailed, whereas the important feature of discursive antagonism could be observed in the latter thematic pattern. The co-occurrences of (de)legitimation strategies are explained with reference to the political and medical context, along with the challenges of social media usage in online vaccination communication campaigns.

[Web scraping applications in health services research: For web experts only, or a tool for every health services researcher?!]

Reviewing various care-related data, such as patient satisfaction, can provide valuable information for a health care organization to improve its services. Regular and automatic data collection of internet data can save time and money. This data collection can be performed using web scraping. Web scraping is well-suited for collecting and linking (secondary) data from the internet. In this paper, a low-threshold option for web scraping is illustrated: Web scraping using the commercial software OutWit. This method is also suitable for researchers with no experience in web scraping. Following web scraping, classical statistical methods can be used for quantitative data or qualitative content analysis for qualitative data. Before collecting data using web scraping methods, the legal framework for the individual research project should be clarified. Additionally, ethical considerations should be addressed because the automated extraction of data is not always compatible with the respective data holder's applicable terms of use.

Perceptions of COVID-19 related risks by platform-based couriers: An analysis of user comment threads on Reddit

BACKGROUND

The COVID-19 pandemic increased demand for app-based platform-based couriers, creating job opportunities for individuals who have lost income because of COVID-19. Through various stages of lockdown, courier workers (e.g., delivering for Uber Eats, Amazon Flex, and Lyft) provide an essential service. At the same time, this form of work poses risks for exposure to the SARS-CoV-2 virus as these workers are highly mobile and in contact with many individuals.

OBJECTIVE

To explore how platform-based couriers discuss risks associated with their work during periods of high (first wave, second wave, third wave/rise in concerns regarding variants) and low risk during the COVID-19 pandemic, 2020-2021.

METHODS

We provide a narrative analysis of user posts (n = 2,866) on Reddit during periods of interest.

RESULTS

Our analysis resulted in three central findings. First, we identified changing patterns in discourse as the pandemic went on. Second, we found that the theme of risk prevailed largely in the first wave, with dialogue dominated by tips and asking for advice about how to manage risk. Third, our findings reveal a growing polarization among users during the latter phases of the study.

CONCLUSION

Polarization largely focused on acceptance (or not) of public health measures and the nature of their work as independent contractors and the role/responsibility of courier companies to offer protection. Our study is the first to document risks, from the perspectives of anonymous couriers who may be unwilling to share their honest opinions and thoughts through primary data collection where anonymity is not guaranteed.

Balanced Reporting and Boomerang Effect: An Analysis of Croatian Online News Sites Vaccination Coverage and User Comments during the COVID-19 Pandemic

The purpose of this paper was to explore online media coverage of COVID-19 vaccination and user reactions to the different types of coverage. The authors aimed to investigate possible boomerang effects that arise when COVID-19 media coverage is assertive and confident, and to determine the effects of balanced reporting. A two-stage random sample comprised a total of 300 articles published in three Croatian online news sites during a period from 1 February 2020, through 15 January 2022. The data were categorized using human coding content analysis, while reliability of coding was checked by using two coders and calculating reliability coefficients. The data were analyzed by means of negative binomial regression analysis. The results revealed that COVID-19 reporting was mainly consensual, i.e., it provided largely affirmative information about vaccines. However, user comments were highly polarized and mostly negative, with the majority of anti-vaccination tropes linked to the "corrupt elites". Based on the user comments, the negative influence of balanced reporting on COVID-19 vaccines and the existence of boomerang effect in cases of the overtly persuasive affirmative reporting was also established. The boomerang effect did not depend on the context, i.e., on the type of reporting. This study extends previous research on balanced reporting and boomerang effects by analyzing online comments as a potentially good parallelism of the offline discursive strategies of the pro-vaccination and anti-vaccination communication. The results of the study can be used for the adjustment of strategic communication targeting the vaccine hesitant audience. Based on the study results, it is recommended that relativization and politicization of science should be prevented by not equating scientific consensus with absolute epistemological certainty and by addressing legitimate concerns of vaccine hesitant persons without putting explicit blame on them.

Negative sentiments toward novel coronavirus (COVID-19) vaccines

Addressing negative vaccine sentiments is paramount to COVID-19 prevention efforts. However, assessing population sentiments is challenging due to the desirability bias that can emerge when directly asking respondents for their opinions on vaccination. Social media data, containing people's unfiltered thoughts, have the potential to offer valuable insights that could guide vaccine promotion messaging. We extracted one week's (4/5-4/11, 2020) worth of COVID-19 vaccine posts on Twitter (tweets) from the U.S. (N = 208,973) and segmented tweets with negative sentiments toward COVID-19 vaccines (n = 14,794). We imputed location based on Twitter users' self-reported state of residence. We found that states in the South had significantly higher prevalence of negative tweets compared to states in other parts of the country, and higher-income states reported lower prevalence of negative tweets. Our findings suggest the existence of negative vaccine sentiments and geographic variability in these opinions, warranting tailored vaccine promotion efforts, particularly for the southern U.S.

Climate change, vaccines, GMO: The N400 effect as a marker of attitudes toward scientific issues

While the psychological predictors of antiscience beliefs have been extensively studied, neural underpinnings of the antiscience beliefs have received relatively little interest. The aim of the current study is to investigate whether attitudes towards the scientific issues are reflected in the N400 potential. Thirty-one individuals were asked to judge whether six different issues presented as primes (vaccines, medicines, nuclear energy, solar energy, genetically-modified organisms (GMO), natural farming) are well-described by ten positive and ten negative target words. EEG was recorded during the task. Furthermore, participants were asked to rate their own expertise in each of the six topics. Both positive and negative target words related to GMO elicited larger N400, than targets associated with vaccines and natural farming. The results of the current study show that N400 may be an indicator of the ambiguous attitude toward scientific issues.

Prediction model and case analysis of college students' psychological depression based on multi-source online comment mining

Psychological depression is a normal emotional experience of human beings. Everyone will experience different levels of depression in life. Under the dual influence of the current socio-economic environment and the small environment of students' quality, the depressive tendency of college students cannot be ignored. In order to mine and improve the level of College Students' psychological depression, this paper proposes a prediction model of College Students' PD based on multi-source online comment mining. The data mining method is used to analyze the content and emotion of microblog comments of users with depressive tendencies. Then, pattern extraction and matching are used to find low-frequency feature words. The example analysis shows that when the comment length is set to 10 and the news length is set to 47, the classification accuracy of the test set is the highest, reaching 96.454%, higher than the original 94.898%. Learning pressure, economic pressure, employment pressure, coping style and social support are closely related to depression and anxiety. Therefore, when modeling depression and anxiety, they were selected as predictive properties. The PD prediction model of college students based on multi-source online comment mining has achieved good results in the polarity classification of online comments.

Distrustful, Dissatisfied, and Conspiratorial: A Latent Profile Analysis of COVID-19 Vaccination Rejection

Trust in science and scientists, satisfaction with the national government, and endorsement of conspiracy theories are important factors in the decision to be vaccinated. In this study, we investigated whether there are different profiles of individuals depending on the above factors and whether they differ in their sociodemographic composition. We used data from Round 10 of the European Social Survey for Slovenia, employing a nationally representative sample of 1252 participants. Based on latent profile analysis, three distinct profiles emerged: Profile 1 expressed moderate trust in science, satisfaction with government, and high endorsement of conspiracies; Profile 2 expressed low trust and satisfaction and moderate endorsement of conspiracies; Profile 3 expressed high trust and satisfaction and low beliefs in conspiracy theories. In addition, Profile 3 expressed the strongest support for vaccination and Profile 2 the lowest. Our results suggest that distrust, dissatisfaction, and the presence of conspiracy theories are the "perfect storm" for vaccination rejection. In contrast, despite conspiracy theories, a certain level of trust and satisfaction may reduce vaccination rejection.

Understanding parental vaccine refusal: Implicit and explicit associations about vaccines as potential building blocks of vaccine beliefs and behavior

Objective

A movement of parents refusing vaccines for their children has contributed to increasingly large outbreaks of diseases that are preventable by vaccines. Research has identified multiple factors that relate to parents' vaccination behaviors (i.e., whether not they vaccinate their children), including their beliefs about vaccines' safety and utility and their trust in those who recommend vaccines. Here we examine the role of more fundamental psychological processes that may contribute to multiple vaccine-related beliefs and behaviors: cognitive associations.

Methods

Using a large sample of U.S. parents (pre-COVID-19), we investigated parents' associations between vaccines and helpfulness/harmfulness, as well as between the self and vaccines (vaccine identity), and their relation to parents' beliefs about vaccine safety and utility, trust in authorities' vaccine recommendations, and prior vaccination refusal for their children. To capture a more complete understanding of people's associations, we examined both explicit associations (measured via self-report) and implicit associations (measured by the Implicit Association Test).

Results

Both implicit and explicit associations correlated with beliefs, trust, and vaccination refusal. Results from structural equation models indicated that explicit vaccine-identity and vaccine-helpfulness associations and implicit vaccine helpfulness associations were indirectly related to vaccination refusal via their relation with vaccine beliefs.

Conclusions

Collectively, study findings suggest that vaccine associations—especially those related to helpfulness/harmfulness—may serve as psychological building blocks for parental vaccine beliefs and behaviors.

Understanding public reactions to state security officials' suicide cases in online news comments

Little is known about public reactions to state security officials' suicide in Muslim countries like Pakistan. To explore readers' reactions in online comments, we analyzed 1,765 comments related to 10 news stories about suicide published in five mainstream English newspapers. The findings revealed six themes: stress, depression, and mental health issues; controversial investigation reports and misinformation; need for stronger accountability to address corruption in the country; criticizing media and security institutions; sympathy for the deceased and their families; and suicide and Islam. We recommend that suicide prevention organizations should monitor audience comments to devise and suggest resources for the public.

Media Data and Vaccine Hesitancy: Scoping Review

Background

Media studies are important for vaccine hesitancy research, as they analyze how the media shapes risk perceptions and vaccine uptake. Despite the growth in studies in this field owing to advances in computing and language processing and an expanding social media landscape, no study has consolidated the methodological approaches used to study vaccine hesitancy. Synthesizing this information can better structure and set a precedent for this growing subfield of digital epidemiology.

Objective

This review aimed to identify and illustrate the media platforms and methods used to study vaccine hesitancy and how they build or contribute to the study of the media's influence on vaccine hesitancy and public health.

Methods

This study followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. A search was conducted on PubMed and Scopus for any studies that used media data (social media or traditional media), had an outcome related to vaccine sentiment (opinion, uptake, hesitancy, acceptance, or stance), were written in English, and were published after 2010. Studies were screened by only 1 reviewer and extracted for media platform, analysis method, the theoretical models used, and outcomes.

Results

In total, 125 studies were included, of which 71 (56.8%) used traditional research methods and 54 (43.2%) used computational methods. Of the traditional methods, most used content analysis (43/71, 61%) and sentiment analysis (21/71, 30%) to analyze the texts. The most common platforms were newspapers, print media, and web-based news. The computational methods mostly used sentiment analysis (31/54, 57%), topic modeling (18/54, 33%), and network analysis (17/54, 31%). Fewer studies used projections (2/54, 4%) and feature extraction (1/54, 2%). The most common platforms were Twitter and Facebook. Theoretically, most studies were weak. The following five major categories of studies arose: antivaccination themes centered on the distrust of institutions, civil liberties, misinformation, conspiracy theories, and vaccine-specific concerns; provaccination themes centered on ensuring vaccine safety using scientific literature; framing being important and health professionals and personal stories having the largest impact on shaping vaccine opinion; the coverage of vaccination-related data mostly identifying negative vaccine content and revealing deeply fractured vaccine communities and echo chambers; and the public reacting to and focusing on certain signals-in particular cases, deaths, and scandals-which suggests a more volatile period for the spread of information.

Conclusions

The heterogeneity in the use of media to study vaccines can be better consolidated through theoretical grounding. Areas of suggested research include understanding how trust in institutions is associated with vaccine uptake, how misinformation and information signaling influence vaccine uptake, and the evaluation of government communications on vaccine rollouts and vaccine-related events. The review ends with a statement that media data analyses, though groundbreaking in approach, should supplement-not supplant-current practices in public health research.

Hesitancy towards COVID-19 vaccines on social media in Canada

To effectively end the pandemic, the acceptance of effective vaccines against COVID-19 is critical. Comments posted in online platforms act as a barometer for understanding public concerns regarding vaccination and can be used to inform communication strategies for the 'moveable middle'. The aim of this exploratory study was to identify online dialogue regarding the nature of vaccine hesitancy related to COVID-19 vaccine(s). We analyzed user comment threads in response to news reports regarding COVID-19 vaccines on the Canadian Broadcasting Corporation national news website (with as many as 9.4 million unique visitors per day). User comments (n = 1145) were extracted from 19 articles between March 2020 and June 15th, 2020. Comments were then coded inductively for content to establish a coding framework that was subsequently applied to the dataset. Our data provide empirical support for misrepresentation as a form of misinformation and further demonstrate the utility of social media content as data for social research that informs public health communication materials. The data point to the need for, and value of, rapid communication interventions to foster vaccine acceptance. False information will continue to create challenges for delivering COVID-19 vaccines. Communication strategies to get ahead of the pace of misinformation are critical, particularly in light of boosters and the possibility of COVID-19 vaccination on an annual basis.

Role of Information Sources in Vaccination Uptake: Insights From a Cross-Sectional Household Survey in Sierra Leone, 2019

Our findings suggest that health workers and faith leaders are important sources of information to deliver vaccination messages, given their strong association with vaccination confidence and uptake. In this context, vaccination promotion efforts that integrate faith leaders and health workers may help increase vaccination uptake.

Introduction:

There is limited understanding of the potential impact of information sources on vaccination attitudes and behaviors in low-income countries. We examined how exposure to immunization information sources may be associated with vaccination uptake in Sierra Leone.

Methods:

In 2019, a household survey was conducted using multistage cluster sampling to randomly select 621 caregivers of children aged 12–23 months in 4 districts in Sierra Leone. We measured exposure to various sources of immunization information and 2 outcomes: (1) vaccination confidence using an aggregate score (from 12 Likert items, informed by previously validated scale) that was dichotomized into a binary variable; (2) uptake of the third dose of diphtheria-pertussis-tetanus-hepatitis B-Haemophilus influenzae type-b-pentavalent vaccine (penta-3) based on card record or through caregiver recall when card was unavailable. Associations between information sources and the outcomes were examined using modified Poisson regression with robust variance estimator.

Results:

Weighted estimate for penta-3 uptake was 81% (75.2%–85.5%). The likelihood of uptake of penta-3 was significantly greater when caregiver received information from health facilities (adjusted prevalence ratio [aPR]=1.26, 95% confidence interval [CI]=1.1, 1.5), faith leaders (aPR=1.16, 95% CI=1.1, 1.3), and community health workers (aPR=1.13, 95% CI=1.003, 1.3). Exposure to greater number of information sources was associated with high penta-3 uptake (aPR=1.05, 95% CI=1.02, 1.1).

Discussion:

Immunization information received during health facility visits and through engagement with religious leaders may enhance vaccination uptake. Assessments to understand context-specific information dynamics should be prioritized in optimizing immunization outcomes.

Public Perception of SARS-CoV-2 Vaccinations on Social Media: Questionnaire and Sentiment Analysis

Vaccine hesitancy is an ongoing concern, presenting a major threat to global health. SARS-CoV-2 COVID-19 vaccinations are no exception as misinformation began to circulate on social media early in their development. Twitter's Application Programming Interface (API) for Python was used to collect 137,781 tweets between 1 July 2021 and 21 July 2021 using 43 search terms relating to COVID-19 vaccines. Tweets were analysed for sentiment using Microsoft Azure (a machine learning approach) and the VADER sentiment analysis model (a lexicon-based approach), where the Natural Language Processing Toolkit (NLTK) assessed whether tweets represented positive, negative or neutral opinions. The majority of tweets were found to be negative in sentiment (53,899), followed by positive (53,071) and neutral (30,811). The negative tweets displayed a higher intensity of sentiment than positive tweets. A questionnaire was distributed and analysis found that individuals with full vaccination histories were less concerned about receiving and were more likely to accept the vaccine. Overall, we determined that this sentiment-based approach is useful to establish levels of vaccine hesitancy in the general public and, alongside the questionnaire, suggests strategies to combat specific concerns and misinformation.

Facilitating pneumococcal vaccination among high-risk adults: Impact of an assertive communication training program for community pharmacists

BACKGROUND

Community pharmacies are vital access points to provide a range of vaccines to adults, including pneumococcal vaccines; however, despite a growth in the number of vaccines given at these sites, the most recent rates of adults being immunized against pneumococcal disease remain below the goals set by Health People 2020. Low patient awareness is a leading reason for suboptimal vaccination rates, suggesting that a need exists to improve provider communication in recommending pneumococcal vaccination in high-risk adults.

OBJECTIVES

To evaluate the impact of a communication training program to improve pharmacist promotion of the pneumococcal vaccine among high-risk adults in Tennessee.

METHODS

A multiphase training program was initiated in partnership with 2 regions of a nationwide community pharmacy chain (n = 100) focusing on improving evidence-based, presumptive recommendations related to pneumococcal vaccination. All locations were randomized to one of 3 arms on the basis of training intensity: (1) no training; (2) online training only; and (3) online and in-person simulation training. The program focused on improving evidence-based, pharmacist vaccine recommendations using health behavior theories, sales techniques, and improvisation provided through online and in-person simulation training. Changes in vaccinations (compared with the same 6-month period in the previous year) and provider self-efficacy were evaluated by Mann-Whitney U tests, chi-square tests, and general linear models.

RESULTS

Completing the full training program led to nominal changes in pharmacist self-efficacy across the 6 items measured (P > 0.05). Overall counts of all pneumococcal vaccines were lower (-11.3%) across all stores in the period after training; however, a small increase (2.1%) was observed in the stores that underwent the full training, versus changes of -22.0% (P = 0.084) and -9.4% (P = 0.199) in control and online-only training comparisons, respectively.

CONCLUSIONS

Pharmacists' vaccine-related self-efficacy may be improved through an evidence-based communication training program, but a more holistic focus on all recommended adult vaccines may be necessary to realize meaningful improvements.

Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019

Vaccine hesitancy was one of the ten major threats to global health in 2019, according to the World Health Organisation. Nowadays, social media has an important role in the spread of information, misinformation, and disinformation about vaccines. Monitoring vaccine-related conversations on social media could help us to identify the factors that contribute to vaccine confidence in each historical period and geographical area. We used a hybrid approach to perform an opinion-mining analysis on 1,499,227 vaccine-related tweets published on Twitter from 1st June 2011 to 30th April 2019. Our algorithm classified 69.36% of the tweets as neutral, 21.78% as positive, and 8.86% as negative. The percentage of neutral tweets showed a decreasing tendency, while the proportion of positive and negative tweets increased over time. Peaks in positive tweets were observed every April. The proportion of positive tweets was significantly higher in the middle of the week and decreased during weekends. Negative tweets followed the opposite pattern. Among users with ≥2 tweets, 91.83% had a homogeneous polarised discourse. Positive tweets were more prevalent in Switzerland (71.43%). Negative tweets were most common in the Netherlands (15.53%), Canada (11.32%), Japan (10.74%), and the United States (10.49%). Opinion mining is potentially useful to monitor online vaccine-related concerns and adapt vaccine promotion strategies accordingly.

"Does Pakistan still have polio cases?": Exploring discussions on polio and polio vaccine in online news comments in Pakistan

INTRODUCTION

Polio, which is caused by poliovirus, is a contagious, potentially crippling, and deadly disease. Pakistan is one of the countries in which polio is still endemic in the 21st century. In 2019, 146 polio cases were reported across the country with some resulting in deaths. Following the spread of rumors insinuating that children were falling sick after receiving an anti-polio vaccine, a mob attacked and set fire to a small hospital in the Peshawar district in April 2019. The present study investigates readers' discussions that emerged from Dawn's online readers' comments on polio-related news stories in Pakistan.

METHODS

Using thematic analysis, we analyzed (N = 2216) comments made by readers in the polio-related news stories published on Dawn.com from January 1, 2012, to March 1, 2020.

RESULTS

Seven major themes emerged from the analysis of the comments: 1) reasons for and challenges resulting in the failure to eradicate polio; 2) proposed solutions and policy changes to eradicate polio; 3) misinformation; 4) criticism, frustration, and shame; 5) comparison of Pakistan to other countries; 6) the internet as a public sphere; 7) suffering, empathy, and appreciation. Overall, our findings suggested that commenters are knowledgeable about polio vaccines and consider polio a serious threat to public health in Pakistan.

CONCLUSION

Our study not only validated previous study findings such as reasons, challenges, and issues related to polio vaccination, but also found new challenges in online news sites concerning misinformation on polio and polio vaccination in Pakistan.

Promoting immunization resiliency in the digital information age

The avalanche of online information on immunization is having a major impact on the percentage of the population who choose to get vaccinated. Vaccine misinformation spreads widely with the interactive Web 2.0 and social media; this can bury science-based information. A plethora of immunization misinformation online is affecting trust in health care professionals and in public immunization programs. There are no simple solutions to this, but seven evidence-based strategies can help. First, listen to patients' and parents' concerns, and demonstrate responsiveness by adopting best immunization practices, such as pain mitigation. Second, recognize and alert others to anti-immunization tactics, namely, conspiracy theories, fake experts, selectivity, demands that vaccines be 100% safe and effective, misrepresentation and false logic. Third, avoid unproductive debates with those who have strongly held views, both in person and when using social media. Be respectful, stick to your key message, identify where to find useful information and exit. Fourth, consider establishing an attractive, easily searchable online presence that reflects the complex art of persuasion. Emphasize the benefits of vaccine, use reader-friendly graphics and highlight facts with stories to strengthen your case. Fifth, work with social media platform providers, not to stifle freedom of expression, but to help ensure that misinformation is not favoured in searches. Sixth, promote curriculum development in the schools to improve students' understanding of the benefits and safety of immunization and to foster critical thinking skills. To do this, optimize the use of age-appropriate comics and interactive learning tools such as electronic games. Seventh, to shift the narrative in specific communities with low vaccination rates, work with community leaders to build tailored programs that foster trust and reflect local values.

Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season

Influenza epidemics happen every year, with more than 8 million severe cases in 2017. The most effective way to prevent seasonal influenza is vaccination. In recent years, misinformation regarding vaccines abounds on social media, but the flu vaccine is relatively understudied in this area, and the current study is the first 1 to explore the content and nature of influenza information that is shared on Twitter, comparing tweets published in the early flu season with those posted in peak flu season. Using a quantitative content analysis, 1000 tweets from both parts of the flu season were analyzed for use of Health Belief Model (HBM) variables, engagement, and flu vaccine specific variables. Findings show several promising opportunities for health organizations and professionals: HBM constructs were present more frequently than in previous, related studies, and fewer vaccine-hesitant tweets appear to be present. However, the presence of high barriers to flu vaccine uptake increased significantly from early to peak season, including an increase in the mention of conspiracy theories. Flu vaccine related tweets appear to vary in misinformation level and density throughout the flu season. While this should be confirmed by further studies over multiple flu seasons, this a finding that should be considered by public health organizations when developing flu vaccine campaigns on social media.