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Social media platforms, including TikTok, have become influential sources of health information. However, they also present as potential sources for the spread of vaccine misinformation. The aim of this study was to assess the quality of measles-rubella (MR) vaccine-related contents on TikTok in Jordan and to analyze factors associated with vaccine misinformation. A systematic search for MR vaccine-related TikTok contents in Jordan was conducted using pre-defined keywords and a specified time range. Content metrics (likes, comments, shares, and saves) were collected while the content quality of health information was evaluated using a modified version of the DISCERN, a validated instrument by two expert raters. The average modified DISCERN score ranged from 1, denoting poor content, to 5, indicating excellent content. A total of 50 videos from 34 unique content creators formed the final study sample. The majority of MR vaccine-related content was created by lay individuals (61.8%), followed by TV/news websites/journalists (23.5%), and healthcare professionals (HCPs) (14.7%). The Cohen κ per modified DISCERN item was in the range of 0.579-0.808, p<0.001), indicating good to excellent agreement. The overall average modified DISCERN score was 2±1.2, while it was only 1.3±0.52 for lay individuals' content, which indicated poor content quality. For the normalized per number of followers for each source, content by lay individuals had a significantly higher number of likes, saves, and shares with p=0.009, 0.012, and 0.004, respectively. Vaccine misinformation was detected in 58.8% of the videos as follows: lay individuals (85.7%), TV/news websites/journalists (25.0%), and HCPs content had none (p<0.001). Normalized per the number of followers for each source, videos flagged as having MR vaccine misinformation reached a higher number of likes, saves, and shares (p=0.012, 0.016, and 0.003, respectively). In conclusion, substantial dissemination of TikTok MR vaccine-related misinformation in Jordan was detected. Rigorous fact-checking is warranted by the platform to address misinformation on TikTok, which is vital to improve trust in MR vaccination and ultimately protect public health.

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COVID-19 vaccine hesitancy and its enablers shape community uptake of non-covid vaccines such as the oral cholera vaccine (OCV) in the post-COVID-19 era. This study assessed the impact of COVID-19 vaccine hesitancy and its drivers on OCV hesitancy in a cholera-endemic region of the Democratic Republic of Congo. We conducted a community-based survey in Bukavu. The survey included demographics, intention to take OCV and COVID-19 vaccines, reasons for COVID-19 hesitancy, and thoughts and feelings about COVID-19 vaccines. Poisson regression analyses were performed. Of the 1708 respondents, 84.66% and 77.57% were hesitant to OCV alone and to both OCV and COVID-19, respectively. Hesitancy to COVID-19 vaccines rose OCV hesitancy by 12% (crude prevalence ratio, [cPR] = 1.12, 95%CI [1.03-1.21]). Independent predictors of OCV hesitancy were living in a semi-urban area (adjusted prevalence ratio [aPR] = 1.10, 95%CI [1.03-1.12]), religious refusal of vaccines (aPR = 1.06, 95%CI [1.02-1.12]), concerns about vaccine safety (aPR = 1.05, 95%CI [1.01-1.11]) and adverse effects (aPR = 1.06, 95%CI [1.01-1.12]), as well as poor vaccine literacy (aPR = 1.07, 95%CI [1.01-1.14]). Interestingly, the belief in COVID-19 vaccine effectiveness reduced OCV hesitancy by 24% (aPR = 0.76, 95%CI [0.62-0.93]). COVID-19 vaccine hesitancy and its drivers exhibited a significant domino effect on OCV uptake. Addressing vaccine hesitancy through community-based health literacy and trust-building interventions would likely improve the introduction of novel non-COVID-19 vaccines in the post-COVID-19 era.

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BACKGROUND: Effective COVID-19 vaccines have been available since early 2021 yet many Americans refuse or delayed uptake. As of mid-2022, still around 30% of US adults remain unvaccinated against COVID-19. The majority (81%) of these unvaccinated adults say they will "definitely not" be getting the COVID-19 vaccine. Understanding the determinants of COVID-19 vaccine uptake is critical to reducing death and illness from the virus, as well as to inform future vaccine efforts, such as the more recent bivalent (omicron) booster. OBJECTIVE: This study aimed to expand our understanding of psychosocial determinants of COVID-19 vaccine uptake. We focus on both COVID-19-specific factors, such as COVID-19 conspiracy beliefs, as well as more global personality attributes such as dogmatism, reactance, gender roles, political beliefs, and religiosity. METHODS: We conducted a web-based survey in mid-2021 of a representative sample of 1376 adults measuring both COVID-19-specific beliefs and attitudes, as well as global personality attributes. COVID-19 vaccination status is reported at 3 levels: vaccinated; unvaccinated-may-get-it; unvaccinated-hard-no. RESULTS: Our analyses focused on the correlation of COVID-19 vaccination status with 10 psychosocial attributes: COVID-19-specific conspiracy theory beliefs; COVID-19 vaccine misinformation; COVID-19-related Rapture beliefs; general antivaccination beliefs; trait reactance; trait dogmatism; belief in 2020 election fraud; belief in a QAnon conspiracy; health care system distrust; and identification with traditional gender roles. We used a multivariate analysis of covariance to examine mean differences across vaccine status groups for each of the correlates while holding constant the effects of age, gender, race, income, education, political party, and Evangelicalism. Across the 10 psychosocial correlates, several different response scales were used. To allow for comparison of effects across correlates, measures of effect size were computed by converting correlates to z scores and then examining adjusted mean differences in z scores between the groups. We found that all 10 psychosocial variables were significantly associated with vaccination status. After general antivaccination beliefs, COVID-19 misinformation beliefs and COVID-19 conspiracy beliefs had the largest effect on vaccine uptake. CONCLUSIONS: The association of these psychosocial factors with COVID-19 vaccine hesitancy may help explain why vaccine uptake has not shifted much among the unvaccinated-hard-no group since vaccines became available. These findings deepen our understanding of those who remain resistant to getting vaccinated and can guide more effective tailored communications to reach them. Health communication professionals may apply lessons learned from countering related beliefs and personality attributes around issues such as climate change and other forms of vaccine hesitancy. For example, using motivational interviewing strategies that are equipped to handle resistance and provide correct information in a delicate manner that avoids reactance.

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OBJECTIVE: COVID-19 disproportionally affected Hispanic/Latinx populations exacerbating systemic health inequities. The pilot study aimed to explore barriers to COVID-19 vaccination across Hispanic/Latinx communities in Southern California. METHODS: Cross-sectional survey of 200 participants to identify common barriers to vaccine hesitancy among Hispanics/Latinx individuals in Southern California utilizing a 14-item survey and questionnaire in English and Spanish. RESULTS: Of the 200 participants that completed questionnaires, 37% identified a knowledge deficit, 8% identified misinformation, and 15% identified additional barriers such as awaiting appointments, immigration status, transportation issues, or religious reasons as barriers to not receiving the COVID-19 vaccine. Wald statistics denoted that household members with COVID-19 infection within the past 3 months saw a medical provider within the last year, wearing a mask in public often, and barriers to vaccination (not knowing enough about the vaccine) predicted vaccine. These variables indicated changes in the likelihood of obtaining vaccination. CONCLUSION: The most crucial factor for increasing vaccination rates was directly reaching out to the community and actively conducting surveys to address the barriers and concerns encountered by Hispanic/Latinx participants.

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Rises in vaccine hesitancy and the incidence of vaccine-preventable illnesses is, in part, due to an increase in vaccine misinformation. Consequently, many patients express skepticism and mistrust of vaccines. It is important that future clinicians are well equipped to understand vaccine-related literature to prepare them for difficult conversations with patients. This module incorporated various active learning approaches to evaluate vaccine-related literature, discuss true contraindications for vaccination, and aid students in approaching patient-clinician conversations about vaccines. Data gained from delivery of this module suggests that students benefit from gaining knowledge and cultivating communication skills about vaccines early in health professions education.

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BACKGROUND: Chatbots enable users to have humanlike conversations on various topics and can vary widely in complexity and functionality. An area of research priority in chatbots is democratizing chatbots to all, removing barriers to entry, such as financial ones, to help make chatbots a possibility for the wider global population to improve access to information, help reduce the digital divide between nations, and improve areas of public good (eg, health communication). Chatbots in this space may help create the potential for improved health outcomes, potentially alleviating some of the burdens on health care providers and systems to be the sole voices of outreach to public health. OBJECTIVE: This study explored the feasibility of developing a chatbot using approaches that are accessible in low- and middle-resource settings, such as using technology that is low cost, can be developed by nonprogrammers, and can be deployed over social media platforms to reach the broadest-possible audience without the need for a specialized technical team. METHODS: This study is presented in 2 parts. First, we detailed the design and development of a chatbot, VWise, including the resources used and development considerations for the conversational model. Next, we conducted a case study of 33 participants who engaged in a pilot with our chatbot. We explored the following 3 research questions: (1) Is it feasible to develop and implement a chatbot addressing a public health issue with only minimal resources? (2) What is the participants' experience with using the chatbot? (3) What kinds of measures of engagement are observed from using the chatbot? RESULTS: A high level of engagement with the chatbot was demonstrated by the large number of participants who stayed with the conversation to its natural end (n=17, 52%), requested to see the free online resource, selected to view all information about a given concern, and returned to have a dialogue about a second concern (n=12, 36%). CONCLUSIONS: This study explored the feasibility of and the design and development considerations for a chatbot, VWise. Our early findings from this initial pilot suggest that developing a functioning and low-cost chatbot is feasible, even in low-resource environments. Our results show that low-resource environments can enter the health communication chatbot space using readily available human and technical resources. However, despite these early indicators, many limitations exist in this study and further work with a larger sample size and greater diversity of participants is needed. This study represents early work on a chatbot in its virtual infancy. We hope this study will help provide those who feel chatbot access may be out of reach with a useful guide to enter this space, enabling more democratized access to chatbots for all.

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To help inform post-COVID-19 pandemic practical health policies, the researchers created the COVID-19 vaccine misinformation scale (CVMS). During the COVID-19 pandemic, falsehoods spread online which casted doubt and concerns about the vaccine. Example misconceptions included vaccination leads to greater vulnerability to other illness and would alter someone's DNA. The researchers performed two large surveys with U.S. participants. The researchers reviewed debunked COVID-19 vaccine falsehoods online. Construction of the CVMS followed standard psychometric scale development steps. Statistical analysis provided support for the 10-item CVMS with satisfactory reliability, discriminant validity, and convergent validity. Predictive validity regression analysis demonstrated the CVMS associated with higher vaccine hesitancy. The prevalence of vaccine misbeliefs broadened pandemic healthcare challenges. On top of existing duties, healthcare workers had to explain vaccine efficacy and safety to dispel fallacies. The researchers discuss implications for the CVMS within the context of motivated reasoning theory.

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Background: Social media platforms, such as Facebook, Instagram, Twitter, and YouTube, have a role in spreading anti-vaccine opinion and misinformation. Vaccines have been an important component of managing the COVID-19 pandemic, so content that discourages vaccination is generally seen as a concern to public health. However, not all negative information about vaccines is explicitly anti-vaccine, and some of it may be an important part of open communication between public health experts and the community. Objective: This research aimed to determine the frequency of negative COVID-19 vaccine information on Twitter in the first 4 months of 2021. Methods: We manually coded 7306 tweets sampled from a large sampling frame of tweets related to COVID-19 and vaccination collected in early 2021. We also coded the geographic location and mentions of specific vaccine producers. We compared the prevalence of anti-vaccine and negative vaccine information over time by author type, geography (United States, United Kingdom, and Canada), and vaccine developer. Results: We found that 1.8% (131/7306) of tweets were anti-vaccine, but 21% (1533/7306) contained negative vaccine information. The media and government were common sources of negative vaccine information but not anti-vaccine content. Twitter users from the United States generated the plurality of negative vaccine information; however, Twitter users in the United Kingdom were more likely to generate negative vaccine information. Negative vaccine information related to the Oxford/AstraZeneca vaccine was the most common, particularly in March and April 2021. Conclusions: Overall, the volume of explicit anti-vaccine content on Twitter was small, but negative vaccine information was relatively common and authored by a breadth of Twitter users (including government, medical, and media sources). Negative vaccine information should be distinguished from anti-vaccine content, and its presence on social media could be promoted as evidence of an effective communication system that is honest about the potential negative effects of vaccines while promoting the overall health benefits. However, this content could still contribute to vaccine hesitancy if it is not properly contextualized.

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BACKGROUND: The proliferation of vaccine misinformation on social media has seriously corrupted the public's confidence in vaccination. Proactively sharing provaccination messages on social media is a cost-effective way to enhance global vaccination rates and resist vaccine misinformation. However, few strategies for encouraging the public to proactively share vaccine-related knowledge on social media have been developed. OBJECTIVE: This research examines the effect of value type (individual vs collective) and message framing (gain vs loss) on influenza vaccination intention (experiment 1) and the willingness to share provaccination messages (experiment 2) among Chinese adults during the COVID-19 pandemic. The primary aim was to evaluate whether messages that emphasized collective value were more effective in increasing the willingness to share than messages that emphasized individual value. METHODS: We enrolled 450 Chinese adults for experiment 1 (n=250, 55.6%) and experiment 2 (n=200, 44.4%). Participants were randomly assigned to individual-gain, individual-loss, collective-gain, or collective-loss conditions with regard to the message in each experiment using the online survey platform's randomization function. Experiment 1 also included a control group. The primary outcome was influenza vaccination intention in experiment 1 and the willingness to share provaccination messages in experiment 2. RESULTS: The valid sample included 213 adults in experiment 1 (females: n=151, 70.9%; mean age 29 [SD 9] years; at least some college education: n=202, 94.8%; single: n=131, 61.5%) and 171 adults in experiment 2 (females: n=106, 62.0%; mean age 28 [SD 7] years; at least some college education: n=163, 95.3%; single: n=95, 55.6%). Influenza vaccination intention was stronger in the individual-value conditions than in the collective-value conditions (F3,166=4.96, P=.03, η2=0.03). The reverse result was found for the willingness to share provaccination messages (F3,165=6.87, P=.01, η2=0.04). Specifically, participants who received a message emphasizing collective value had a higher intention to share the message than participants who read a message emphasizing individual value (F3,165=6.87, P=.01, η2=0.04), and the perceived responsibility for message sharing played a mediating role (indirect effect=0.23, 95% lower limit confidence interval [LLCI] 0.41, 95% upper limit confidence interval [ULCI] 0.07). In addition, gain framing facilitated influenza vaccination intention more than loss framing (F3,166=5.96, P=.02, η2=0.04). However, experiment 2 did not find that message framing affected message-sharing willingness. Neither experiment found an interaction between value type and message framing. CONCLUSIONS: Strengthened individual value rather than collective value is more likely to persuade Chinese adults to vaccinate. However, these adults are more likely to share a message that emphasizes collective rather than individual value, and the perceived responsibility for message sharing plays a mediating role.

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Misinformation has challenged the rollout of COVID-19 vaccination around the world. In 2021, professional bodies for several regulated occupations (including doctors and lawyers) initiated investigations into the conduct of members who engaged in vaccine misinformation, including on social media. This commentary discusses key controversies surrounding this novel disciplinary issue, with the focus on the legal profession in New Zealand and Australia. We consider the difficulties of defining "vaccine misinformation", differentiating between public and private social media use, giving proper scope to rights of free speech, and challenges in identifying financial conflicts of interest and unethical client solicitation practices (eg, profiting from spreading vaccine misinformation). The chilling effect upon freedom of expression when lawyers are disciplined for their social media posts that are deemed unscientific is discussed.

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Objective: One of the primary reasons for hesitancy in taking COVID-19 vaccines is the fear of side effects. This study primarily aimed to inspect the potential side effects of the COVID-19 vaccines circulated in Bangladesh.Design and Settings.The study was based on a cross-sectional anonymous online survey conducted in December 2021 across Bangladesh.Participants.The study included consenting Bangladeshi individuals aged 12 and above who had received at least one dose of the COVID-19 vaccines.Main Outcome.Analyses were carried out through exploratory analysis, Chi-square test, and logistic regression to investigate potential side effects of the COVID-19 vaccines. Results: A total of 1,180 vaccinated people participated in the study. Only 39.48% of the participants reported at least one side effect after receiving their COVID-19 vaccine. Injection-site pain, fever, headache, redness/swelling at the injection site, and lethargy were the most commonly reported adverse effects, all of which were mild and lasted 1-3 days. Side effects were most prevalent (about 80%) among individuals who received Pfizer-BioNTech and Moderna vaccines and were least common among those who received Sinopharm and Sinovac vaccines (21%-28%). When compared to the Sinopharm vaccines, the OxfordAstraZeneca, Pfizer-BioNTech, and Moderna vaccines were 4.51 times (95% CI: 2.53-8.04), 5.37 times (95% CI: 2.57-11.22), and 4.28 times (95% CI: 2.28-8.05) likelier to produce side effects. Furthermore, males, those over 50 years old, urban dwellers, smokers, and those with underlying health issues had a considerably increased risk of developing side effects. A lack of confidence in vaccines' efficacy and a substantial level of hesitancy in allowing children (age five years or over) and older people (70 years or over) to receive COVID-19 vaccines were also observed. Conclusion: Side effects of COVID-19 vaccines are minimal, demonstrating their safety. Efforts should be made to disseminate such findings worldwide to increase vaccine uptake.

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INTRODUCTION: Vaccine hesitancy remains a serious challenge for ending the coronavirus disease 2019 (COVID-19) pandemic. Digital media has played an immense role in the spread of information during the pandemic. One method to gauge public interest in COVID-19 related information is to examine patterns of online search queries. METHODS: Google Trends (GT) was used to analyze results for search terms relating to COVID-19 vaccine misinformation, information, and accessibility from October 1st, 2020 to May 27th, 2021. GT allows you to compare multiple queries at one time. The resultant relative search volumes (RSVs)range from 0 to 100. The search term andpoint in time on the graph that has the greatest search volume is given a score of 100 and all other terms and times are given values relative to that maximum. Search interest peaks were analyzed by subgroups (misinformation, information seeking, and access seeking) and across key time points throughout the pandemic. RESULTS: GT analysis revealed that search interest related to vaccine misinformation, general information, and access seeking changed in relation to events taking place throughout the pandemic. The most commonly searched terms in each subgroup were: "Covid vaccine infertility", "Covid vaccine side effects", and "Covid vaccine appointment". Searches related to misinformation peaked in December 2020. Search terms in the general information category peaked in April 2021. RSVs for access seeking terms peaked in March 2021 and have decreased since April 2021. CONCLUSION: Misinformation RSVs were highest after FDA authorization and have multiple repeated spikes after subsequent vaccine announcements. General information seeking terms peaked concurrently with increased vaccination uptake in the United States. Search interest has decreased with wider vaccine availability, despite many individuals in the United States remaining unvaccinated. GT can be used to monitor trends in public attitudes and misinformation regarding COVID-19 vaccines and further target education.

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People may cling to false facts even in the face of updated and correct information. The present study confronted misconceptions about the measles, mumps and rubella vaccine and a novel, fictitious Zika vaccine. Two experiments are reported, examining misconceptions as motivated by a poor risk understanding (Experiment 1, N = 130) or the exposure to conspiracy theories (Experiment 2, N = 130). Each experiment featured a Misinformation condition, wherein participants were presented with fictitious stories containing some misinformation (Experiment 1) and rumours focused on conspiracy theories (Experiment 2) that were later retracted by public health experts and a No misinformation condition, containing no reference to misinformation and rumours. Across experiments, participants were more hesitant towards vaccines when exposed to stories including vaccine misinformation. Notwithstanding, our results suggest a positive impact of a trusted source communicating the scientific consensus about vaccines. Zika virus represents a particular case showing how missing information can easily evolve into misinformation. Implications for effective dissemination of information are discussed.

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Objective: to identify factors associated with COVID19 vaccine hesitancy, including sources of information among residents of Maine. Methods: 148 study participants, recruited through community partners and primary care offices in Maine, completed an anonymous 15 item online survey. Recruitment and data collection occurred from May to September, 2021. Hesitancy was determined through a single question, "Will you get one of the COVID vaccines when it is offered to you?" Results: vaccine hesitant respondents were younger than not hesitant respondents (p = 0.01). Hesitant individuals were significantly more likely to report concerns regarding the speed of COVID-19 vaccine production, vaccine efficacy, and potential vaccine side effects (p < 0.05 for each). Hesitant individuals were also significantly more likely to have discussed vaccination with their primary physician (p = 0.04). Conclusions: overall, hesitant individuals are more likely to be younger and had less trust in information from government sources, but they sought input from primary care. They were also more concerned about efficacy, side effects, and the rapid development of COVID-19 vaccines. Primary care physicians are in key positions to address these concerns due to contact with individuals who need accurate information.

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BACKGROUND: Over the course of the COVID-19 pandemic, a variety of COVID-19-related misinformation has spread and been amplified online. The spread of misinformation can influence COVID-19 beliefs and protective actions, including vaccine hesitancy. Belief in vaccine misinformation is associated with lower vaccination rates and higher vaccine resistance. Attitudinal inoculation is a preventative approach to combating misinformation and disinformation, which leverages the power of narrative, rhetoric, values, and emotion. OBJECTIVE: This study seeks to test inoculation messages in the form of short video messages to promote resistance against persuasion by COVID-19 vaccine misinformation. METHODS: We designed a series of 30-second inoculation videos and conducted a quasi-experimental study to test the use of attitudinal inoculation in a population of individuals who were unvaccinated (N=1991). The 3 intervention videos were distinguished by their script design, with intervention video 1 focusing on narrative/rhetorical ("Narrative") presentation of information, intervention video 2 focusing on delivering a fact-based information ("Fact"), and intervention video 3 using a hybrid design ("Hybrid"). Analysis of covariance (ANCOVA) models were used to compare the main effect of the intervention on the 3 outcome variables: ability to recognize misinformation tactics ("Recognize"), willingness to share misinformation ("Share"), and willingness to take the COVID-19 vaccine ("Willingness"). RESULTS: There were significant effects across all 3 outcome variables comparing inoculation intervention groups to controls. For the Recognize outcome, the ability to recognize rhetorical strategies, there was a significant intervention group effect (P<.001). For the Share outcome, support for sharing the mis- and disinformation, the intervention group main effect was statistically significant (P=.02). For the Willingness outcome, there was a significant intervention group effect; intervention groups were more willing to get the COVID-19 vaccine compared to controls (P=.01). CONCLUSIONS: Across all intervention groups, inoculated individuals showed greater resistance to misinformation than their noninoculated counterparts. Relative to those who were not inoculated, inoculated participants showed significantly greater ability to recognize and identify rhetorical strategies used in misinformation, were less likely to share false information, and had greater willingness to get the COVID-19 vaccine. Attitudinal inoculation delivered through short video messages should be tested in public health messaging campaigns to counter mis- and disinformation.

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Anti-vaccine content is rapidly propagated via social media, fostering vaccine hesitancy, while pro-vaccine content has not replicated the opponent's successes. Despite this disparity in the dissemination of anti- and pro-vaccine posts, linguistic features that facilitate or inhibit the propagation of vaccine-related content remain less known. Moreover, most prior machine-learning algorithms classified social-media posts into binary categories (e.g., misinformation or not) and have rarely tackled a higher-order classification task based on divergent perspectives about vaccines (e.g., anti-vaccine, pro-vaccine, and neutral). Our objectives are (1) to identify sets of linguistic features that facilitate and inhibit the propagation of vaccine-related content and (2) to compare whether anti-vaccine, provaccine, and neutral tweets contain either set more frequently than the others. To achieve these goals, we collected a large set of social media posts (over 120 million tweets) between Nov. 15 and Dec. 15, 2021, coinciding with the Omicron variant surge. A two-stage framework was developed using a fine-tuned BERT classifier, demonstrating over 99 and 80 percent accuracy for binary and ternary classification. Finally, the Linguistic Inquiry Word Count text analysis tool was used to count linguistic features in each classified tweet. Our regression results show that anti-vaccine tweets are propagated (i.e., retweeted), while pro-vaccine tweets garner passive endorsements (i.e., favorited). Our results also yielded the two sets of linguistic features as facilitators and inhibitors of the propagation of vaccine-related tweets. Finally, our regression results show that anti-vaccine tweets tend to use the facilitators, while pro-vaccine counterparts employ the inhibitors. These findings and algorithms from this study will aid public health officials' efforts to counteract vaccine misinformation, thereby facilitating the delivery of preventive measures during pandemics and epidemics.

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BACKGROUND: Healthcare workers were prioritized for COVID-19 vaccination roll-out because of the high occupational risk. Vaccine trials excluded individuals who were trying to conceive and those who are pregnant and lactating, necessitating vaccine decision-making in the absence of data specific to this population. OBJECTIVE: This study aimed to determine the initial attitudes about COVID-19 vaccination in pregnancy-capable healthcare workers by reproductive status and occupational exposure. STUDY DESIGN: We performed a structured survey distributed via social media of US-based healthcare workers involved in patient care since March 2020 who were pregnancy-capable (biologic female sex without history of sterilization or hysterectomy) from January 8, 2021 to January 31, 2021. Participants were asked about their desire to receive the COVID-19 vaccine and their perceived safety of the COVID-19 vaccine using 5-point Likert items with 1 corresponding to "I strongly don't want the vaccine" or "very unsafe for me" and 5 corresponding to "I strongly want the vaccine" or "very safe for me." We categorized participants into the following 2 groups: (1) reproductive intent (preventing pregnancy vs attempting pregnancy, currently pregnant, or currently lactating), and (2) perceived COVID-19 occupational risk (high vs low). We used descriptive statistics to characterize the respondents and their attitudes about the vaccine. Comparisons between reproductive and COVID-19 risk groups were conducted using Mann-Whitney U tests. RESULTS: Our survey included 11,405 pregnancy-capable healthcare workers: 51.3% were preventing pregnancy (n=5846) and 48.7% (n=5559) were attempting pregnancy, currently pregnant, and/or lactating. Most respondents (n=8394, 73.6%) had received a vaccine dose at the time of survey completion. Most participants strongly desired vaccination (75.3%) and very few were strongly averse (1.5%). Although the distribution of responses was significantly different between respondents preventing pregnancy and those attempting conception or were pregnant and/or lactating and also between respondents with a high occupational risk and those with a lower occupational risk of COVID-19, the effect sizes were small and the distribution was the same for each group (median, 5; interquartile range, 4-5). CONCLUSION: Most of the healthcare workers desired vaccination. Negative feelings toward vaccination were uncommon but were significantly higher among those attempting pregnancy and those who are pregnant and lactating and also among those with a lower perceived occupational risk of contracting COVID-19, although the effect size was small. Understanding healthcare workers' attitudes toward vaccination may help guide interventions to improve vaccine education and uptake in the general population.

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The importance of social media in spreading health information, COVID-19 inclusive cannot be over emphasized and YouTube as one of the social media platforms is the most popular video-sharing platform widely. Studies in other languages showed that, videos on YouTube spread misinformation about COVID-19 vaccine. Objective: To assess the nature of information in Hausa language YouTube videos on COVID-19 vaccine uptake.Materials and Methods: This was a cross-sectional descriptive study of Hausa language YouTube videos on COVID-19 vaccine uptake. A filtered search was conducted on YouTube on 19th September, 2021 using the Hausa words for Coronavirus Vaccine as search terms. The words used were "Allurar Rigakafin Coronavirus" and "Rigakafin coronavirus". Fifty-five videos were included, YouTube video information were collected and video source and video metrics categorization were also collected. The videos were assessed to determine if they were pro-vaccination and for content, by extracting data based on information on COVID-19 vaccination contained in the videos using a predesigned proforma. Data analysis was done using Microsoft Excel 2016 and SPSS version 20. Results: About 65% of the videos had views of 0-100 with no dislike and were uploaded in the last 6 months. Only about onethird (36.4%) of the videos were pro-vaccination. Factual information on COVID-19 vaccine and information on vaccine safety, efficacy, side effects and dangers of vaccine rejection were contained in 36.4% or less of the videos. Outright misinformation was contained in as much as 25.5% of the videos. Conclusion: Most of the Hausa language YouTube videos on COVID-19 vaccine uptake were not pro-vaccination, they were not sufficiently informative on COVID-19 and some contained misinformation. Such videos with questionable content should be deleted from YouTube to forestall misleading the populace

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Enormous hope in the efficacy of vaccines became recently a successful reality in the fight against the COVID-19 pandemic. However, vaccine hesitancy, fueled by exposure to social media misinformation about COVID-19 vaccines became a major hurdle. Therefore, it is essential to automatically detect where misinformation about COVID-19 vaccines on social media is spread and what kind of misinformation is discussed, such that inoculation interventions can be delivered at the right time and in the right place, in addition to interventions designed to address vaccine hesitancy. This paper is addressing the first step in tackling hesitancy against COVID-19 vaccines, namely the automatic detection of known misinformation about the vaccines on Twitter, the social media platform that has the highest volume of conversations about COVID-19 and its vaccines. We present CoVaxLies, a new dataset of tweets judged relevant to several misinformation targets about COVID-19 vaccines on which a novel method of detecting misinformation was developed. Our method organizes CoVaxLies in a Misinformation Knowledge Graph as it casts misinformation detection as a graph link prediction problem. The misinformation detection method detailed in this paper takes advantage of the link scoring functions provided by several knowledge embedding methods. The experimental results demonstrate the superiority of this method when compared with classification-based methods, widely used currently.

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Background: Cervical cancer, caused by persistent human papillomavirus (HPV) infection, is the leading cause of female cancer deaths in South Africa. In 2014, the South African National Department of Health introduced a free public sector school-based HPV vaccination programme, targeting grade 4 girls aged ≥9 years. However, private sector school girls receive HPV vaccination through their healthcare providers at cost. This study investigated HPV vaccination knowledge, attitudes and practices of caregivers of girls aged ≥9 years in grades 4-7 attending South African private schools. Methods: A link to an online survey was circulated to caregivers via an email sent to school principals of all private schools in four provinces enrolling girls in grades 4-7. Following a poor post-reminder response, a paid Facebook survey-linked advert targeting South African Facebook users aged ≥25 years nationally was run for 4 days, and placed on the South African Vaccination and Immunisation Centre's Facebook page for 20 days. Results: Of 615 respondents, 413 provided HPV vaccination data and 455 completed the knowledge and attitudes tests. Most (76.5%) caregivers had good knowledge and 45.3% had positive attitudes. Of their daughters, 19.4% had received ≥1 dose of HPV vaccine. Of caregivers of unvaccinated girls, 44.3% and 41.1%, respectively were willing to vaccinate their daughters if vaccination was offered free and at their school. Caregivers of unvaccinated girls were more likely [odds ratio (OR): 3.8] to have been influenced by "other" influences (mainly online articles and anecdotal vaccine injury reports). Of caregivers influenced by their healthcare providers, caregivers of unvaccinated girls were more likely (OR: 0.2) to be influenced by alternative medical practitioners. Caregivers of vaccinated girls were more likely to have good knowledge (OR: 3.6) and positive attitudes (OR: 5.2). Having good knowledge strongly predicted (OR: 2.8) positive attitudes. Having negative attitudes strongly predicted (OR: 0.2) girls being unvaccinated. Conclusion: Providing free school-based HPV vaccination in the private sector may not increase HPV vaccination coverage to an optimal level. Since misinformation was the main driver of negative attitudes resulting in <20% of girls being vaccinated, an advocacy campaign targeting all stakeholders is urgently needed.

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