Search

Background: COVID-19 vaccine hesitancy is a major public health challenge with the potential to prevent communities from achieving the coverage level necessary for herd immunity against the COVID-19 virus. Objective/aim: The study determined COVID-19 vaccine acceptance and associated factors among residents of the Afadzato South District of Ghana. Methods: A descriptive cross-sectional study was conducted among 422 respondents aged 18 years and above using a self-administered and interviewer administered structured questionnaires for persons who could read and with no formal education respectively. The study was conducted and reported in line with the Strobe statement for cross sectional studies. Data analysis was done using the Stata-17.0 software. The association between the dependent and independent variables was examined using a logistic regression analysis, with a p-value of < 0.05 considered statistically significant. Results: More than half of the respondents (n = 291, 68.96%) were below 25 years old. Majority of the respondents were females (n = 218, 51.66%) and had attained secondary education (n = 291, 68.96%). Less than half of the respondents 35.5% (151) indicated acceptance of the COVID-19 vaccine and more than half (n = 271, 64.22%) indicated non-acceptance of the COVID-19 vaccine. The results showed that education level, information source, overall knowledge of COVID-19 vaccine, and misconception of COVID-19 vaccine were significantly associated with acceptance of the COVID-19 vaccine. Conclusion: The study found high vaccine hesitancy among the respondents. Important significant predictors of COVID-19 vaccine hesitancy were education level, information source, overall knowledge of COVID-19 vaccine, and misconception of COVID-19 vaccine. In the attempt to address vaccine hesitancy by health agencies, it is important to take into consideration the varying educational backgrounds of the population in context and their diversified sources of information. This may ensure that everyone in the community is reached with important information on COVID-19 and its vaccines to reduce misconceptions and misinformation. [ABSTRACT FROM AUTHOR]

Background: As part of the fight against coronavirus disease, Nigeria received nearly 4 million doses of the COVID-19 vaccine via the COVID-19 Vaccines Global Access (COVAX) Facility, marking a historic step towards equitable global distribution of COVID-19 vaccines. Although evidence exists on COVID-19 hesitancy in Nigeria, yet, we are unaware of any study on the optimization of COVID-19 vaccination from the lenses of the mobile teams. Objective: This study seeks to explore the perceptions and experiences of mobile teams in selected communities during the implementation of COVID-19 vaccination in Benue and Niger. Methods: An exploratory approach was adopted, and the study was conducted in Niger and Benue states based on poor performance in COVID-19 vaccination. Focus Group Discussions (FDGs) were conducted among 12 mobile vaccination teams from 12 LGAs. The recorded discussions were transcribed and coded (inductively and deductively) using Dedoose software (v9.0). Four themes and seven sub-themes were generated from the participants' responses. Results: Seventy-two (72) health workers including vaccinators, validators, Electronic Management of Immunization Data (EMID) recorders, social mobilizers, and paper recorders participated in this study. Health workers' perceptions and experiences were thematized using the health building blocks. The mobilization teams in Benue and Niger states perceived that their mobilization efforts contributed to improved coverage, increased accessibility, and reduced hesitancy among the community dwellers. Challenges reported by the teams were vaccine misconceptions, requests for incentives in exchange for vaccine uptake, poor network services, distance to communities, and vaccine stockout. Conclusion: This study concluded that social mobilizers play key roles in vaccine uptake, especially at the community level. Their roles in creating awareness, sensitization, and bringing the vaccine closer to hard-to-reach communities contributed to the success attained in the fight against COVID-19 in both states. [ABSTRACT FROM AUTHOR]

Background: Respiratory syncytial virus (RSV) is a leading cause of acute lower respiratory infections globally, with most RSV-related deaths occurring in infants < 6 months of age. The highest burden of RSV is in low-and-middle income countries, and in sub-Saharan Africa, RSV may be responsible for almost half of all hospital admissions with severe or very severe pneumonia among infants under 1 year. There is a maternal RSV vaccine on the horizon. Our study objective was to better understand how lessons learned from the COVID-19 vaccine experience rollout among pregnant and lactating people in Kenya could inform future maternal RSV vaccine rollout. Methods: This qualitative study interviewed 16 healthcare providers including doctors, nurses, midwives, community health workers, and vaccinators. Participants were recruited from two counties in Kenya and included healthcare providers that served diverse communities. A grounded theory approach was used to analyze the data. Results: As healthcare providers interviewed were instrumental in COVID-19 vaccine rollout among pregnant women in Kenya, they provided lessons learned from the COVID-19 vaccine experience to inform future maternal RSV vaccine rollout. Community sensitization emerged as the most critical lesson learned, including communication, mobilization, and education. Using communication to ensure community awareness of RSV, community awareness of RSV harms and benefits of RSV maternal vaccines, and providing up-to-date, clear information about maternal RSV vaccines emerged as lessons. Related to mobilization, participants identified the need for healthcare providers and community leaders to gain the trust of communities, and the importance of routinizing the vaccine. Finally, for education, participants outlined critical questions patients would have about a maternal RSV vaccine, including those related to vaccine safety concerns, duration of protection, and vaccine dosing. Conclusions: This is one of the first studies that has examined how lessons learned from the COVID-19 vaccine rollout for pregnant and lactating women can inform the rollout of future maternal vaccines, including an RSV maternal vaccine. As healthcare providers are directly involved in vaccine rollout, their perspectives are crucial for successful vaccine acceptance. [ABSTRACT FROM AUTHOR]

Background: Owing to crowded and unsanitary conditions, internally displaced persons (IDPs) have an increased risk of COVID-19 infection. Adoption of COVID-19 preventive measures among this population is premised on accurate information, adequate knowledge, and risk perception. We assessed COVID-19 knowledge and risk perception and investigated the association between risk perception and COVID-19 preventive measures, including vaccination among IDPs in Northeast Nigeria. Methods: We conducted a cross-sectional study during July–December 2022 and sampled 2,175 IDPs using stratified sampling. We utilized a 12-point assessment tool to evaluate COVID-19 knowledge. Participants who scored ≥ 6 points were considered to have adequate knowledge. We used a 30-item Risk Behavior Diagnosis Scale to assess COVID-19 risk perception and evaluated each item on a 5-point Likert scale. Participants were divided into risk perception categories by the median of Likert scale scores. We performed weighted logistic regression analysis to identify factors associated with risk perception. Pearson's chi-squared with Rao-Scott adjustment was used to determine the relationship between risk perception and COVID-19 preventive measures. Results: Of 2,175 participants, 55.7% were 18–39 years old, 70.9% were females, and 81.7% had no formal education. Among the IDPs, 32.0% (95% CI: 28.8 – 35.0) were considered to have adequate COVID-19 knowledge, and 51.3% (95% CI: 47.8 – 54.8) perceived COVID-19 risk as high. Moreover, 46.3% (95% CI: 42.8 – 50.0) had received one dose of COVID-19 vaccine, and 33.1% (95% CI: 29.8 – 36.0) received two doses. Adequate knowledge (Adjusted Odds Ratio (AOR) = 2.10, [95% CI: 1.46 – 3.03]) and post-primary education (AOR = 3.20, [95% CI: 1.59 – 6.46]) were associated with risk perception. Furthermore, high risk perception was significantly associated with wearing face masks (χ2 = 106.32, p-value <.001), practicing hand hygiene (χ2 = 162.24, p-value <.001), physical distancing (χ2 = 60.84, p-value <.001) and vaccination uptake (χ2 = 46.85, p-value <.001). Conclusions: This study revealed gaps in COVID-19 knowledge, risk perception, and vaccination uptake but demonstrated a significant relationship between risk perception and COVID-19 preventive practices. Health education and risk communication should be intensified to improve knowledge, elicit stronger risk perception, and enhance COVID-19 preventive practices. [ABSTRACT FROM AUTHOR]

Background: The effects of the COVID-19 pandemic were more pronounced among migrants than in the majority population and went beyond those directly caused by the virus. Evidence suggests that this overburden is due to complex interactions between individual and structural factors. Some groups of working migrants were in vulnerable positions, overrepresented in essential jobs, under precarious work conditions, and ineligible for social benefits or special COVID-19 economic assistance. This study aimed to explore the experience of migrants working in Norway during the COVID-19 pandemic to gather an in-depth understanding of the pandemic´s impact on their health and well-being, focusing on occupation-related factors. Methods: In-depth personal interviews with 20 working migrants from different job sectors in Bergen and Oslo were conducted. Recruitment was performed using a purposive sampling method. Thematic analysis was used. Results: At the workplace level, factors such as pressure to be vaccinated, increased in occupational hazards, and increased structural discrimination negatively impacted migrants' health. Other factors at the host country context, such as changes in social networks in and out of the workplace and changes in the labour market, also had a negative effect. However, the good Norwegian welfare system positively impacted migrants' well-being, as they felt financially protected by the system. Increased structural discrimination was the only factor clearly identified as migrant-specific by the participants, but according to them, other factors, such as changes in social networks in and out of the workplace and social benefits in Norway, seemed to have a differential impact on migrants. Conclusions: Occupational-related factors affected the health and well-being of working migrants during the pandemic. The pressure to get vaccinated and increased structural discrimination in the workplace need to be addressed by Norwegian authorities as it could have legal implications. Further research using intersectional approaches will help identify which factors, besides discrimination, had a differential impact on migrants. This knowledge is crucial to designing policies towards zero discrimination at workplaces and opening dialogue arenas for acknowledging diversity at work. [ABSTRACT FROM AUTHOR]

Introduction: Despite a high number of recorded COVID-19 infections and deaths in South Africa, COVID-19 vaccine coverage remained low in March 2022, ten months into the national vaccine roll-out. This study provides evidence on the correlates of vaccine intentions, attitudes towards vaccination and opinions about mandates. Methods: We used data from the second COVID-19 Vaccine Survey (CVACS), a telephone survey conducted February-March 2022 among 3,608 South African adults who self-reported not being vaccinated against COVID-19. The survey instrument was designed in consultation with government, policymakers, and civil society; and segmented the sample into four distinct groups with different vaccine intentions (synonymous with vaccine hesitancy levels). Kruskal-Wallis and Mann-Whitney tests were used to examine the sociodemographic characteristics, attitudes and behaviours associated with the different vaccination intentions groups. Thematic coding of responses to open-ended questions elicited insights on reasons for not being vaccinated and attitudes towards mandates. Results: Intentions to get vaccinated were greater among individuals with lower socio-economic status (Mann–Whitney Z = -11.3, p < 0.001); those believing the vaccine protects against death (Kruskal–Wallis Χ2 = 494, p < 0.001); and those who perceived themselves at risk of COVID-19-related illness (Χ2 = 126, p < 0.01). Vaccine intentions were lower among individuals who believed that the vaccine causes death (Χ2 = 163, p < 0.001); believed that the vaccine is unsafe for the babies of pregnant/breastfeeding mothers, or the chronically ill (Χ2 = 123, p < 0.01); those not trusting government health information about COVID-19 and the COVID-19 vaccine (Kendall's τ = -0.41, p < 0.01); and those in opposition to mandates (τ = 0.35, p < 0.001). Only 25% supported mandates, despite 48% thinking mandates would work well, with 54% citing individual rights as their main reason for mandate opposition. Conclusion: The profile of individuals not vaccinated against COVID-19 as of March 2022 varied markedly by self-reported vaccination intentions, underscoring the importance of tailored demand-creation efforts. This paper highlights several factors which differ significantly across these groups. These findings could inform the design of future vaccination campaigns, potentially increasing their likelihood of success. This is an important policy objective given widespread vaccine hesitancy, and further work is required on this topic. Mandates remain an option to increase coverage but need to be carefully considered given extensive opposition. [ABSTRACT FROM AUTHOR]

Background: The spread of misinformation of all types threatens people's safety and interrupts resolutions. COVID-19 vaccination has been a widely discussed topic on social media platforms with numerous misleading and fallacious information. This false information has a critical impact on the safety of society as it prevents many people from taking the vaccine, decelerating the world's ability to go back to normal. Therefore, it is vital to analyze the content shared on social media platforms, detect misinformation, identify aspects of misinformation, and efficiently represent related statistics to combat the spread of misleading information about the vaccine. This paper aims to support stakeholders in decision-making by providing solid and current insights into the spatiotemporal progression of the common misinformation aspects of the various available vaccines. Methods: Approximately 3800 tweets were annotated into four expert-verified aspects of vaccine misinformation obtained from reliable medical resources. Next, an Aspect-based Misinformation Analysis Framework was designed using the Light Gradient Boosting Machine (LightGBM) model, which is one of the most advanced, fast, and efficient machine learning models to date. Based on this dataset, spatiotemporal statistical analysis was performed to infer insights into the progression of aspects of vaccine misinformation among the public. Finally, the Pearson correlation coefficient and p-values are calculated for the global misinformation count against the vaccination counts of 43 countries from December 2020 until July 2021. Results: The optimized classification per class (i.e., per an aspect of misinformation) accuracy was 87.4%, 92.7%, 80.1%, and 82.5% for the "Vaccine Constituent," "Adverse Effects," "Agenda," "Efficacy and Clinical Trials" aspects, respectively. The model achieved an Area Under the ROC Curve (AUC) of 90.3% and 89.6% for validation and testing, respectively, which indicates the reliability of the proposed framework in detecting aspects of vaccine misinformation on Twitter. The correlation analysis shows that 37% of the countries addressed in this study were negatively affected by the spread of misinformation on Twitter resulting in reduced number of administered vaccines during the same timeframe. Conclusions: Twitter is a rich source of insight on the progression of vaccine misinformation among the public. Machine Learning models, such as LightGBM, are efficient for multi-class classification and proved reliable in classifying vaccine misinformation aspects even with limited samples in social media datasets. [ABSTRACT FROM AUTHOR]

Background: The success of the COVID-19 vaccination roll-out depended on clear policy communication and guidance to promote and facilitate vaccine uptake. The rapidly evolving pandemic circumstances led to many vaccine policy amendments. The impact of changing policy on effective vaccine communication and its influence in terms of societal response to vaccine promotion are underexplored; this qualitative research addresses that gap within the extant literature. Methods: Policy communicators and community leaders from urban and rural Ontario participated in semi-structured interviews (N = 29) to explore their experiences of COVID-19 vaccine policy communication. Thematic analysis was used to produce representative themes. Results: Analysis showed rapidly changing policy was a barrier to smooth communication and COVID-19 vaccine roll-out. Continual amendments had unintended consequences, stimulating confusion, disrupting community outreach efforts and interrupting vaccine implementation. Policy changes were most disruptive to logistical planning and community engagement work, including community outreach, communicating eligibility criteria, and providing translated vaccine information to diverse communities. Conclusions: Vaccine policy changes that allow for prioritized access can have the unintended consequence of limiting communities' access to information that supports decision making. Rapidly evolving circumstances require a balance between adjusting policy and maintaining simple, consistent public health messages that can readily be translated into action. Information access is a factor in health inequality that needs addressing alongside access to vaccines. [ABSTRACT FROM AUTHOR]

Background: Global COVID-19 vaccinations rates among youth and adolescent populations prove that there is an opportunity to influence the acceptance for those who are unvaccinated and who are hesitant to receive additional doses. This study aimed to discover the acceptance and hesitancy reasons for choosing or refusing to be vaccinated against COVID-19. Methods: A scoping review was conducted, and articles from three online databases, PubMed, Wiley, and Cochrane Library, were extracted and screened based on exclusion and PICOs criteria. A total of 21 studies were included in this review. Data highlighting study attributes, characteristics, and decision-making dynamics were extracted from the 21 studies and put into table format. Results: The results showed that the primary drivers for accepting the COVID-19 vaccine include protecting oneself and close family/friends, fear of infection, professional recommendations, and employer obligations. Primary hesitancy factors include concerns about safety and side effects, effectiveness and efficacy, lack of trust in pharmaceuticals and government, conspiracies, and perceiving natural immunity as an alternative. Conclusions: This scoping review recommends that further research should be conducted with adolescent and youth populations that focus on identifying health behaviors and how they relate to vaccine policies and programs. [ABSTRACT FROM AUTHOR]

Background: Vaccination is one of the best ways to stop the transmission of coronavirus disease 2019 (COVID-19). In this regard, uunderstanding the features related to the intention of different populations to receive the COVID-19 vaccine is essential for an effective vaccination program. This study aimed to investigate the vaccination intention predictors in the general adult population of Iran. Methods: A cross-sectional, web-based survey was conducted on social networks, including Telegram, WhatsApp, LinkedIn, Instagram, and Facebook. Multinomial logistic regression models were used to investigate predictors associated with the intention to receive COVID-19 vaccines, including sociodemographic characteristics, trust, worry, sources of information, and conspiracy beliefs. The main outcomes included unwillingness, undecidedness, and intention to receive the COVID-19 vaccine. Results: Out of 780 respondents, 481 (61.6%) reported an intention to be vaccinated, 214 (27.4%) expressed their undecided status, and 85 (10.9%) reported unwillingness to receive any type of COVID-19 vaccine. A higher age (OR undecided = 0.97, 95% CI (0.96–0.99)), (OR unwilling = 0.97, 95% CI (0.95–0.99)); exposure with COVID-19 (OR unwilling = 0.82, 95% CI (0.76–0.89)), (OR undecided = 0.87, 95% CI (0.83–0.93)) were positively associated with vaccination intentions. No/low trust in vaccines, institutions, concerns about the future of the pandemic, and conspiracy beliefs were strongly and negatively associated with COVID-19 vaccination intentions. Conclusion: Most Iranians intended to get a COVID-19 vaccine. Higher vaccine acceptance needs to consider demographic features, exposure history, confidence in vaccines, trust in institutions, concerns, and conspiracy beliefs of people. [ABSTRACT FROM AUTHOR]