Self-reported Vaccination Research Articles

Self-Reported COVID-19 Vaccine Status and Barriers for Pediatric Emergency Patients and Caregivers

Objective: This study determined if the caregivers of children in the emergency department (ED) have the same COVID-19 vaccination status as the child, the reasons they chose to not vaccinate the child, and self-identified barriers to vaccination to determine if the ED is appropriate for vaccination intervention. Methods: A survey was administered to caregivers of pediatric ED patients at four Children’s Hospitals in: Augusta, GA, Buffalo, NY, Madison, WI, and Sacramento, CA. Participants were asked about their and the child’s demographics, vaccination status, and barriers to vaccination. We used descriptive statistics, Cohen's kappa, and logistic regression to analyze responses. Results: 941 caregivers were considered for enrollment, and 800 consented to participation. Participants were 75% women with a mean age of 40.9 ± 8.9 years. 51% (409) of the pediatric ED patients were COVID-19 vaccinated, as were 74% (591) of the caregivers. There was variation across sites, but overall, 15% of caregivers of unvaccinated children wanted the child tobe vaccinated with the most common barriers to vaccination identified as safety data (25%), time availability (20%), and ability to obtain an appointment (13%). The most common reason for not wanting the child COVID-19 vaccinated was concern the vaccine didn’t work or had too many side effects. Conclusion: A small but clinically important group of pediatric ED patients are not COVID-19 vaccinated but their caregivers want them to be vaccinated, indicating that consideration should be given to offering vaccination in the ED. Reasons for avoiding COVID-19 vaccination were primarily concerns with efficacy and side effects.

From hesitancy to decision: shifts from intentions to uptake of Influenza and COVID-19 vaccines

Abstract Background Vaccine hesitancy is context-related and risks coverage. In a context of growing hesitancy, this study aims to characterize and identify factors underlying shifts in Influenza and COVID-19 vaccines intention and uptake. Methods Questionnaires were administered to a random sample of the 60+ years old Portuguese population (n = 1400), before (Q1) and at the end of the campaign (Q2). Sociodemographic, clinical data and intention to Influenza/COVID-19 vaccine uptake, using a Likert-scale (0-2: refusal; 3-7: hesitancy; 8-10: acceptance), were assessed on Q1. On Q2, self-reported vaccination status and motives. A logistic regression was performed to identify underlying factors. Results COVID-19 vaccine: 26.2% of those reporting acceptance went for non-uptake (214/818), stating low susceptibility/severity and fear of side effects. Factors associated were not having chronic disease (OR 2.07, p<.05) and age 60-64 (OR 4.16, p<.05). 25.5% of those who refuse went for vaccine uptake (27/106), stating self-initiative. Age 65 + (OR 43.82, p<.05) was associated with the shift; 56.4% of the hesitant individuals went for non-uptake (154/273). Higher education associates with non-uptake (OR 0.53, p<.05). Influenza vaccine: 11.5% of reported acceptance went for non-uptake (100/873), stating low susceptibility/severity. Associated factors were age 60-64 (OR 5.85, p<.05), not having chronic diseases (OR 2.64, p<.05) and living alone (OR 2.34, p<.05). 23.4% of those refusing decided for vaccine uptake (29/124), stating self-initiative/risk awareness. Associated factor was age 60-64 (OR 6.41, p<.05). 69.5% of hesitancy went for uptake (139/200). Chronic disease associates with non-uptake (OR 0.26, p<.05). Conclusions Intention is a good predictor but not decisive for uptake. This research provides better understanding of shifts in intention versus vaccine uptake, as well as factors and motives for hesitancy, allowing more robust interventions ahead of a vaccination campaign. Key messages • For the Influenza vaccine, 13% of individuals reporting acceptance or refusal changed their mind. From the group reporting hesitancy, 70% decided for vaccine uptake. • For the COVID-19 vaccine, 26% of individuals reporting acceptance or refusal changed their mind. From the group reporting hesitancy, 56% decided for non-vaccine uptake.

Public health unit funding per capita and seasonal influenza vaccination among youth and adults in Ontario, Canada in 2013/2014 and 2018/2019

BackgroundInfluenza vaccines are crucial in reducing the risk of influenza symptoms. We aimed to: (1) estimate the association between public health unit (PHU) funding per capita and influenza vaccination among...

The Effects of Behaviorally Informed Messages on COVID-19 Vaccination Intentions and Behavior: Evidence from Randomized Survey Experiments in South Africa

With COVID-19 vaccination rates remaining below optimal levels, scalable interventions to shift vaccination intentions are needed. We embedded two randomized experiments in South Africa’s COVID-19 Vaccine Survey (CVACS) to investigate the potential to change vaccine intentions and behavior. In Experiment 1, 3510 unvaccinated South African adults were randomly assigned to a no-message control group, a social norm message, or a message highlighting that vaccines were free, available and easy to obtain. The free and easy message significantly increased vaccine intentions but did not increase other outcome measures. The social proof message was associated with an increase in self-reported vaccination status at follow-up (not significant at traditional statistical thresholds). In Experiment 2, 3608 unvaccinated South African adults were randomly assigned to a no-message control group, a message highlighting gaining greater freedoms, or a message highlighting being part of the solution to the pandemic. Neither value proposition message increased vaccination intentions. Light-touch and scalable messages informed by behavioral science and social marketing principles may increase vaccination intentions and uptake, However, more attention should be paid to understanding the behavioral barriers experienced by different population segments, and to tailoring and targeting messaging to those barriers and segments.

Effectiveness of bivalent HPV vaccination against genital HPV DNA-positivity of a catch-up campaign at age 13–16 years compared to routine vaccination at age 12 years: a biennial repeated cross-sectional study

BackgroundThe Netherlands is one of few countries worldwide which has used the bivalent HPV vaccine for girls-only for over a decade. This allows assessment of vaccine effectiveness (VE) against female genital HPV DNA-positivity of this vaccine in an observational post-licencing real-world setting. Additionally, it is unclear whether catch-up vaccination campaigns result in similar VE as routine vaccination. Therefore, type-specific and grouped VE were assessed and compared for women who had been eligible for catch-up vaccination at 13–16 years with those who had been eligible for routine vaccination at 12 years.MethodsPASSYON is a Dutch biennial repeated cross-sectional (2011–2021) study among sexual health clinic clients aged 16–24 years old. Women provided self-collected vaginal samples, questionnaires on demographics and sexual behaviour were administered, and women self-reported HPV vaccination status. Samples were analysed using a PCR-based assay (SPF10-LiPA25). Type-specific and grouped VE estimates, adjusted with propensity score stratification, were assessed against genital positivity for 14 HPV types. VE for targeted and non-targeted genotypes were compared between women who had been eligible for the catch-up and those who had been eligible for routine vaccination.ResultsThe study included 4488 female participants who had been eligible for HPV vaccination and provided genital swabs (1561 eligible for catch-up, 2927 for routine vaccination). Very high VE against genital HPV-16 and HPV-18 was observed (resp. 93.5% and 89.5%) and significant cross-protection against six other genotypes (HPV-31/33/35/45/52/58), varying from 18.0% (HPV-52) to 79.6% (HPV-45). VE estimates were comparable between women who had been eligible for the catch-up campaign and those eligible for routine vaccination: VE HPV-16/HPV-18: 92.2% (95%CI: 87.9–94.9) vs. 91.8% (95%CI: 86.0–95.2).ConclusionsIn real-world settings, the VE of bivalent vaccine is high against targeted genotypes, with cross-protection against 6 other genotypes. Catch-up campaigns up to age 16 years can be as effective as routine vaccination at age 12, although it is recommendable to provide HPV vaccination at an age at which most are likely not sexually active yet. This may inform countries considering catch-up campaigns when introducing or extending the use of HPV vaccination within their national immunisation programmes.

The Influence of a COVID-19 Vaccine Mandate on Vaccination Rates in a University Setting.

We surveyed (September 9-17, 2021) students, staff, and faculty at the University of Minnesota, a large, highly vaccinated university, to evaluate whether the COVID-19 vaccine mandate increased self-reported vaccine uptake. Vaccine mandates have the potential to improve public health but should consider the context of implementation and costs associated with infringements on personal choice. Policymakers need to be equipped with data to inform decisions about vaccine mandates in light of contextual factors and potential backlash affecting public health interventions. (Am J Public Health. Published online ahead of print August 29, 2024:e1-e6. https://doi.org/10.2105/AJPH.2024.307804).

Self-Reported COVID-19 Vaccine and Booster Acceptance and Hesitancy Among Autistic Adults in Pennsylvania: Cross-Sectional Analysis of Survey Data.

The autistic population is rapidly increasing; meanwhile, autistic adults face disproportionate risks for adverse COVID-19 outcomes. Limited research indicates that autistic individuals have been accepting of initial vaccination, but research has yet to document this population's perceptions and acceptance of COVID-19 boosters. This study aims to identify person-level and community characteristics associated with COVID-19 vaccination and booster acceptance among autistic adults, along with self-reported reasons for their stated preferences. Understanding this information is crucial in supporting this vulnerable population given evolving booster guidelines and the ending of the public health emergency for the COVID-19 pandemic. Data are from a survey conducted in Pennsylvania from April 11 to September 12, 2022. Demographic characteristics, COVID-19 experiences, and COVID-19 vaccine decisions were compared across vaccination status groups. Chi-square analyses and 1-way ANOVA were conducted to test for significant differences. Vaccination reasons were ranked by frequency; co-occurrence was identified using phi coefficient correlation plots. Most autistic adults (193/266, 72.6%) intended to receive or received the vaccine and booster, 15% (40/266) did not receive or intend to receive any vaccine, and 12.4% (33/266) received or intended to receive the initial dose but were hesitant to accept booster doses. Reasons for vaccine acceptance or hesitancy varied by demographic factors and COVID-19 experiences. The most significant were previously contracting COVID-19, desire to access information about COVID-19, and discomfort with others not wearing a mask (all P=.001). County-level factors, including population density (P=.02) and percentage of the county that voted for President Biden (P=.001) were also significantly associated with differing vaccination acceptance levels. Reasons for accepting the initial COVID-19 vaccine differed among those who were or were not hesitant to accept a booster. Those who accepted a booster were more likely to endorse protecting others and trusting the vaccine as the basis for their acceptance, whereas those who were hesitant about the booster indicated that their initial vaccine acceptance came from encouragement from someone they trusted. Among the minority of those hesitant to any vaccination, believing that the vaccine was unsafe and would make them feel unwell were the most often reported reasons. Intention to receive or receiving the COVID-19 vaccination and booster was higher among autistic adults than the population that received vaccines in Pennsylvania. Autistic individuals who accepted vaccines prioritized protecting others, while autistic individuals who were vaccine hesitant had safety concerns about vaccines. These findings inform public health opportunities and strategies to further increase vaccination and booster rates among generally accepting autistic adults, to better support the already strained autism services and support system landscape. Vaccination uptake could be improved by leveraging passive information diffusion to combat vaccination misinformation among those not actively seeking COVID-19 information to better alleviate safety concerns.

Post-Omicron SARS-CoV-2 serostatus in Sierra Leone: A cross-sectional study in a maternity hospital setting in Freetown, November/December 2022

BackgroundSpread of SARS-CoV-2 in Sub-Saharan African countries has been poorly investigated, especially in the later pandemic stages. We aimed to assess the post-Omicron situation in Sierra Leone in November/December 2022 considering SARS-CoV-2 serostatus, vaccinations, and behavioral factors. MethodsIn a cross-sectional study conducted in a maternity hospital in Freetown, Sierra Leone, both patients and staff provided dried blood spot samples for analysis of anti-S and anti-N IgG prevalence using Anti-SARS-CoV-2-ELISA. Additionally, we collected sociodemographic and infection-related information through questionnaires. Outcome parameters included seropositivity, infection-related seroprevalence, and self-reported vaccination status. We used logistic regression to identify associations with prior infection and with vaccination status. ResultsOut of 791 participants (389 patients, 402 staff), 670 (84.7 %) displayed a positive SARS-CoV-2 serostatus resulting from either infection or vaccination. Among a sub-sample of 514 participants within which determination of prior natural infection was possible, 441individuals (85.8 %) were affected. Prior infection was associated with female sex and tertiary education level. Overall, 60.3 % reported having been vaccinated. Staff as opposed to patients, and individuals with higher socioeconomic status were more likely to report vaccination. Individuals who assessed their risk of COVID-19 as either higher or lower compared to a medium-level risk were more likely to have contracted the virus and less likely to have received vaccination. ConclusionOur findings suggest that since the Omicron wave in 2022, the Sierra Leonean population has almost universally been exposed to SARS-CoV-2. While this is encouraging in the light of relatively low excess mortality in the country, future investigations on the long-term effect of high viral exposure on epidemic resilience and public health impact will be crucial.

SARS-CoV-2 antibody prevalence by industry, workplace characteristics, and workplace infection prevention and control measures, North Carolina, USA, 2021 to 2022.

The COVID-19 pandemic has disproportionately affected workers in certain industries and occupations, and the workplace can be a high-risk setting for SARS-CoV-2 transmission. In this study, we measured SARS-CoV-2 antibody prevalence and identified work-related risk factors in a population primarily working at industrial livestock operations. We used a multiplex salivary SARS-CoV-2 IgG assay to determine infection-induced antibody prevalence among 236 adult (≥18 yr) North Carolina residents between February 2021 and August 2022. We used the National Institute for Occupational Safety and Health Industry and Occupation Computerized Coding System (NIOCCS) to classify employed participants' industry. Most participants (55%, 95% confidence interval [CI] 49% to 62%) were infection-induced IgG positive, including 71% (95% CI 60% to 83%) of animal slaughtering and processing industry workers, 1.5 to 4.3 times North Carolina general population infection-induced seroprevalence estimates during overlapping time periods. Considering self-reported diagnostic test positivity and vaccination history in addition to antibodies, the proportion of participants with evidence of prior infection increased slightly to 61% (95% CI 55% to 67%), including 75% (95% CI 64% to 87%) of animal slaughtering and processing workers. Participants with more than 1000 compared to 10 or fewer coworkers at their jobsite had higher odds of prior infection (adjusted odds ratio 4.5, 95% CI 1.0 to 21.0). This study contributes evidence of the severe and disproportionate impacts of COVID-19 on animal slaughtering and processing workers and workers in large congregate settings.

Quantifying Disparities in COVID-19 Vaccination Rates by Rural and Urban Areas: Cross-Sectional Observational Study.

Vaccination plays an important role in preventing COVID-19 infection and reducing the severity of the disease. There are usually differences in vaccination rates between urban and rural areas. Measuring these differences can aid in developing more coordinated and sustainable solutions. This information also serves as a reference for the prevention and control of emerging infectious diseases in the future. This study aims to assess the current coverage rate and influencing factors of COVID-19 (second booster) vaccination among Chinese residents, as well as the disparities between urban and rural areas in China. This cross-sectional study used a stratified random sampling approach to select representative samples from 11 communities and 10 villages in eastern (Changzhou), central (Zhengzhou), western (Xining), and northeast (Mudanjiang) Mainland China from February 1 to February 18, 2023. The questionnaires were developed by experienced epidemiologists and contained the following: sociodemographic information, health conditions, vaccine-related information, information related to the Protective Motivation Theory (PMT), and the level of trust in the health care system. Vaccination rates among the participants were evaluated based on self-reported information provided. Binary logistic regression models were performed to explore influencing factors of vaccination among urban and rural participants. Urban-rural disparities in the vaccination rate were assessed using propensity score matching (PSM). A total of 5780 participants were included, with 53.04% (3066/5780) being female. The vaccination rate was 12.18% (704/5780; 95% CI 11.34-13.02) in the total sample, 13.76% (341/2478; 95% CI 12.40-15.12) among the rural participants, and 10.99% (363/3302; 95% CI 9.93-12.06) among the urban participants. For rural participants, self-reported health condition, self-efficacy, educational level, vaccine knowledge, susceptibility, benefits, and trust in the health care system were independent factors associated with vaccination (all P＜.05). For urban participants, chronic conditions, COVID-19 infection, subjective community level, vaccine knowledge, self-efficacy, and trust in the health care system were independent factors associated with vaccination (all P＜.05). PSM analysis uncovered a 3.42% difference in vaccination rates between urban and rural participants. The fourth COVID-19 vaccination coverage rate (second booster) among the Chinese population was extremely low, significantly lower than the previous vaccine coverage rate. Given that COVID-19 infection is still prevalent at low levels, efforts should focus on enhancing self-efficacy to expand the vaccine coverage rate among the Chinese population. For rural residents, building awareness of the vaccine's benefits and improving their overall health status should be prioritized. In urban areas, a larger proportion of people with COVID-19 and patients with chronic illness should be vaccinated.

Is gravidity associated with COVID-19 vaccination among pregnant women in Jamaica?

In 2021, Jamaica's maternal mortality ratio doubled as a result of COVID-19-related deaths. Yet, COVID-19 vaccination among pregnant Jamaican women remained low. In the United States, COVID-19 vaccination is lower among pregnant women who have had multiple pregnancies (multigravidas) versus women who were pregnant for the first time (primigravidas). We examined whether this pattern exists in Jamaica. A cross-sectional survey of a convenience sample of 79 pregnant Jamaican women recruited from a teaching hospital (May-July 2022) was used to assess self-reported COVID-19 vaccination and medical mistrust beliefs-operationalized as low vaccine confidence, government mistrust, and race-based mistrust-by gravidity. We used modified Poisson regression to estimate adjusted prevalence ratios (aPR) and 95% confidence intervals (CI) for vaccination by gravidity, adjusting for age, education, and comorbidities. Thirty-nine (49%) of the participants were multigravidas. Socioeconomic status was similar between multigravidas and primigravidas. COVID-19 vaccination was lower in multigravidas (46%) than primigravidas (75%) after adjusting for age, education, and comorbidities (aPR = 0.67, 95% CI = 0.46-0.99; p = 0.044). Vaccine confidence was lower in multigravidas (p = 0.044). Government mistrust and race-based mistrust did not differ between the two groups. In Jamaica, multigravidas may have lower COVID-19 vaccine uptake and lower vaccine confidence compared with primigravidas. Understanding the distinct needs of pregnant subpopulations is essential for crafting effective maternal vaccination campaigns.

Social contact patterns following the COVID-19 pandemic: a snapshot of post-pandemic behaviour from the CoMix study

The COVID-19 pandemic led to unprecedented changes in behaviour. To estimate if these persisted, a final round of the CoMix social contact survey was conducted in four countries at a time when all societal restrictions had been lifted for several months. We conducted a survey on a nationally representative sample in the UK, Netherlands (NL), Belgium (BE), and Switzerland (CH). Participants were asked about their contacts and behaviours on the previous day. We calculated contact matrices and compared the contact levels to a pre-pandemic baseline to estimate R0. Data collection occurred from 17 November to 7 December 2022. 7477 participants were recruited. Some were asked to undertake the survey on behalf of their children. Only 14.4 % of all participants reported wearing a facemask on the previous day. Self-reported vaccination rates in adults were similar for each country at around 86 %. Trimmed mean recorded contacts were highest in NL with 9.9 (95 % confidence interval [CI] 9.0–10.8) contacts per person per day and lowest in CH at 6.0 (95 % CI 5.4–6.6). Contacts at work were lowest in the UK (1.4 contacts per person per day) and highest in NL at 2.8 contacts per person per day. Other contacts were also lower in the UK at 1.6 per person per day (95 % CI 1.4–1.9) and highest in NL at 3.4 recorded per person per day (95 % CI 43.0–4.0). The next-generation approach suggests that R0 for a close-contact disease would be roughly half pre-pandemic levels in the UK, 80 % in NL and intermediate in the other two countries. The pandemic appears to have resulted in lasting changes in contact patterns expected to have an impact on the epidemiology of many different pathogens. Further post-pandemic surveys are necessary to confirm this finding.

Predictors of parental acceptance to live attenuated influenza vaccine for children

ABSTRACT To determine the influencing factors of Chinese parents' intention and behavior for children to receive live attenuated influenza vaccine during the 2022–2023 influenza season. A theoretical model was developed and included seven constructs, and structural equation modeling was used to test 11 hypotheses. From October 2022 to December 2023, a survey was conducted across 38 medical institutions in four Chinese cities and their subordinate districts, counties, and rural areas. Parents who accompanied their children for vaccinations were selected through a randomization process based on their child’s medical card numbers. Measures were taken to minimize method bias, including a diverse geographical representation and random sampling. The survey resulted in the collection of 936 valid responses, exceeding the recommended sample size for structural equation model analysis and providing robust statistical inferences. During the study period, 936 respondents were included in the study. Perceived ease of use was verified to be a predictor of perceived usefulness and perceived value. Perceived usefulness was verified as a predictor of perceived value and behavioral intention. Knowledge was a significant antecedent of perceived value and risk perception of influenza disease. Risk perception of influenza disease was proved to be a significant predictor of perceived value and self-reported vaccination behavior. Perceived value significantly affected behavioral intention, and behavioral intention significantly affected self-reported vaccination behavior. Six demographic variables significantly moderate the theoretical models. The low vaccination coverage of live attenuated influenza vaccine (LAIV) among children in China suggests a need for a deeper understanding of the factors that influence vaccination rates. Particularly, effective strategies are necessary from policymakers and practitioners to elevate childhood LAIV coverage.

Health Disparities: Differences in Veteran and Non-Veteran Populations using Generative AI

Introduction: This study investigated self-reported health status, health screenings, vision problems, and vaccination rates among veteran and non-veteran groups to uncover health disparities that are critical for informed health system planning for veteran populations. Methods: Using public-use data from the National Health Interview Survey (2015-2018), this study adopts an ecologic cross-sectional approach to conduct an in-depth analysis and visualization of the data assisted by Generative AI, specifically ChatGPT-4. This integration of advanced AI tools with traditional epidemiological principles enables systematic data management, analysis, and visualization, offering a nuanced understanding of health dynamics across demographic segments and highlighting disparities essential for veteran health system planning. Findings: Disparities in self-reports of health outcomes, health screenings, vision problems, and vaccination rates were identified, emphasizing the need for targeted interventions and policy adjustments. Conclusion: Insights from this study could inform health system planning, using epidemiological data assessment to suggest enhancements for veteran healthcare delivery. These findings highlight the value of integrating Generative AI with epidemiological analysis in shaping public health policy and health planning.

Vaccination status and self-reported side effects after SARS-CoV-2 vaccination in relation to psychological and clinical variables in patients with multiple sclerosis

The recent SARS-CoV-2 pandemic and the vaccination campaign posed a challenge to patients with autoimmune disease, such as multiple sclerosis (MS). We aimed for investigating whether psychological/sociodemographic/clinical characteristics of MS patients are associated with SARS-CoV-2 vaccination status and self-reported vaccination side effects (SEs). We have asked patients with MS about their willingness to receive recommended standard vaccinations pre-pandemically since June 2019. Between 10/2021 and 01/2022, we surveyed 193 of these MS patients about their current SARS-CoV-2 vaccination status, their perception of vaccination-related SEs, and reasons for and against SARS-CoV-2 vaccination. 75.6% of the patients declared their willingness to receive standard vaccinations before the pandemic. 84.5%, 78.2%, and 13.0% of the patients had received the first, second, and third SARS-CoV-2 vaccination, respectively, until the follow-up survey. The most common reason for not getting vaccinated against SARS-CoV-2 was concern about possible side effects (82.1%), followed by the belief that the vaccines had not been adequately tested (64.3%). Vaccination-related SEs were reported by 52.8% of the patients. Younger age, higher education, lower degree of disability, relapsing disease course, shorter disease duration, not receiving a disease-modifying therapy and higher anxiety and depression levels were associated with the occurrence of certain vaccination-related SEs. Concerns about novel vaccines are widespread among MS patients and necessitate targeted education of the patients, especially to those with more severe psychopathological symptoms (anxiety or depression) and those who are generally skeptical of vaccination.

COVID-19 vaccinations and infections among individuals with systemic sclerosis: A Scleroderma Patient-centered Intervention Network (SPIN) Cohort study

Background/PurposeWe previously surveyed adults with systemic sclerosis (SSc) regarding COVID-19 vaccination in April-May 2021. The objective of the present study was to update through June-July 2022 and assess self-reported (1) COVID-19 vaccination rates, including boosters; (2) vaccine-related adverse events; (3) peri‑vaccination immunosuppressive medication management; (4) vaccine hesitancy; and (5) prevalence and severity of COVID-19 infections. MethodsIn April-May 2021 and June-July 2022, SPIN Cohort participants completed surveys on COVID-19 vaccination and infection. Primary vaccine series was defined according to the standard for each COVID-19 vaccine; additional vaccine administrations were considered booster doses. Fully vaccinated was defined as having completed a primary vaccine series and at least one booster dose. Results544 participants completed the 2021 survey only, 101 the 2022 survey only, and 388 both surveys. Among 489 participants with 2022 data, 437 (89 %) had received both primary and booster vaccines. Among all 1,033 participants, 960 (93 %) received at least one dose. At least one adverse reaction was reported by 34 % (330 of 960 participants) following first, 48 % (314 of 657 participants) following second, and 34 % (147 of 437 participants) following booster vaccine doses (primarily sore arm and fatigue); no severe adverse reactions were reported. SSc symptom worsening was reported in 6 % (53 of 960) after the first, 6 % after the second (39 of 657), and 4 % (17 of 437) after the booster dose. Of participants taking methotrexate or mycophenolate (including Cellcept or Myfortic), 34 of 266 (13 %) reported that they temporarily stopped or decreased their medication at the first dose, 32 of 215 (15 %) at the second dose, and 28 of 148 (19 %) for booster vaccination. Of 52 individuals not fully vaccinated with primary and booster doses in 2022, 29 (56 %) reported worry about vaccine related SSc flares. 172 of 489 (35 %) 2022 participants reported a history of at least one COVID-19 infection; 114 (66 %) occurred after receiving at least a primary vaccine series. Among initial COVID-19 infections, 9 (5 %) were asymptomatic, 66 (38 %) involved mild symptoms, 82 (48 %) moderate symptoms, and 15 (9 %) required hospitalization. ConclusionMost people with SSc in the study were fully vaccinated, and most continued their methotrexate or mycophenolate post-primary and booster vaccinations. Over half of vaccine-hesitant participants were concerned regarding risk of SSc flare; however, few vaccinated participants reported this. These data may be useful for counselling people with SSc regarding COVID-19 vaccine safety and outcomes.

Vaccine effectiveness against emerging COVID-19 variants using digital health data

BackgroundParticipatory surveillance of self-reported symptoms and vaccination status can be used to supplement traditional public health surveillance and provide insights into vaccine effectiveness and changes in the symptoms produced by an infectious disease. The University of Maryland COVID Trends and Impact Survey provides an example of participatory surveillance that leveraged Facebook’s active user base to provide self-reported symptom and vaccination data in near real-time.MethodsHere, we develop a methodology for identifying changes in vaccine effectiveness and COVID-19 symptomatology using the University of Maryland COVID Trends and Impact Survey data from three middle-income countries (Guatemala, Mexico, and South Africa). We implement conditional logistic regression to develop estimates of vaccine effectiveness conditioned on the prevalence of various definitions of self-reported COVID-like illness in lieu of confirmed diagnostic test results.ResultsWe highlight a reduction in vaccine effectiveness during Omicron-dominated waves of infections when compared to periods dominated by the Delta variant (median change across COVID-like illness definitions: −0.40, IQR[−0.45, −0.35]. Further, we identify a shift in COVID-19 symptomatology towards upper respiratory type symptoms (i.e., cough and sore throat) during Omicron periods of infections. Stratifying COVID-like illness by the National Institutes of Health’s (NIH) description of mild and severe COVID-19 symptoms reveals a similar level of vaccine protection across different levels of COVID-19 severity during the Omicron period.ConclusionsParticipatory surveillance data alongside methodologies described in this study are particularly useful for resource-constrained settings where diagnostic testing results may be delayed or limited.

Exploring pre-pandemic patterns of vaccine decision-making with the 5C model: results from representative surveys in 2016 and 2018.

The 5C psychological antecedents of vaccination (Confidence, Complacency, Constraints, Calculation, and Collective Responsibility) facilitate understanding vaccination decisions in specific target groups as well as the general public's informational needs. This study aims to explain pre-pandemic vaccination behaviour (a) in general, (b) for specific vaccines such as influenza, and (c) for certain target groups (e.g. people over the age of 59years, parents, healthcare workers), using the 5C model and sociodemographic variables. The intention to get an influenza vaccination was also analysed for target groups. The 5C, self-reported vaccination behaviour and the intention to vaccinate were collected in two representative telephone surveys in Germany - one in 2016 (n1 = 5,012) and another in 2018 (n2 = 5,054). Parents, people over the age of 59years, chronically ill people, people with a migratory background, pregnant women and healthcare workers were target groups. Overall, the 5C model had higher explanatory power than sociodemographic variables. The pattern of vaccine hesitancy slightly differed between vaccinations and target groups. Confidence in safety and effectiveness was always a significant predictor. Complacency (the underestimation of disease risks) and Constraints were significant predictors as well. Calculation (of risks and benefits) was important for influenza vaccination intentions. This work builds an important benchmark for understanding potential changes in vaccine acceptance due to the pandemic. The benchmark can be used in research on potential effects of the pandemic on vaccination behaviours. Intervention designers can also use the results to understand specific audiences and their vaccination decisions.

COVID-19 booster vaccine uptake and reduced risks for long-COVID: A cross-sectional study of a U.S. adult population

Long-COVID (having symptoms lasting 3 months or longer post-infection) is an emerging public health concern, yet research on whether COVID-19 booster vaccines can mitigate this condition is limited. This study examined associations between booster uptake and long-COVID prevalence among U.S. adults. Data were analyzed from 8757 adults aged 18 years or older with a history of COVID-19 infection from the 2022 National Health Interview Survey. Weighted prevalence and logistic regression models examined relationships between self-reported COVID-19 booster vaccination status and long-COVID, adjusting for sociodemographics and health factors. 19.5 % reported experiencing long-COVID. Individuals receiving the COVID-19 booster vaccine had significantly lower adjusted odds of long-COVID (OR 0.75, 95 % CI 0.61–0.93) compared to unvaccinated individuals. Overall, these findings suggest that COVID-19 booster vaccination is associated with a reduced prevalence of long-COVID among the U.S. adult population, underscoring the importance of optimizing booster uptake to mitigate the long-term impacts of COVID-19.

Predicting COVID-19 Vaccination Intentions to Inform Evidence-Based Messaging for Building Vaccine Confidence Among Rural Americans.

Examine possible message topics to promote rural vaccination using psychosocial antecedents of vaccination. Cross-sectional survey administered by Research America, Inc. West Virginia (WV). 756 WV adults via convenience sample (n = 370; ∼2% response rate from online panel of ∼20 000 WV residents), and random digit dial of landlines (n = 174; ∼1% response rate from 18 432 numbers) and cellphones (n = 212; ∼1% response rate from 20 486 numbers). Outcome measures included self-reported vaccination intention and behavior. Predictor measures, rooted in theories of social and behavioral science that have been found to be predictive of vaccination outcomes (i.e., Reasoned Action Approach, Extended Parallel Process Model), included perceived severity and susceptibility, negative affect, instrumental and affective attitudes, social norms, self-efficacy, response efficacy, and perceived control. Multivariate linear regression for intention and logistic regression for behavior. Intention was positively predicted by affective attitude, β = .30, P < .05, instrumental attitude, β = .19, P < .05, response efficacy, β = .19, P < .05, negative affect, β = .16, P < .05, self-efficacy, β = .13, P < .05, and subjective norm, β = .13, P < .05, F(10, 267) = 30.12, Adj. R2 = .53. Vaccination status was predicted by instrumental attitude, exp(B) = 2.09, and subjective norm, exp(B) = 2.00, Pseudo R2 = .29, log likelihood = 125.11, χ2(10) = 38.34, P < .05. Promising message targets were instrumental attitude, M = 3.21, SD = 1.46, and subjective norms, M = 3.76, SD = 1.71. COVID-19 vaccine confidence messages should address (1) positive feelings and safety perceptions, (2) vaccination's effectiveness in preventing serious COVID-19, and (3) subjective vaccination norms.