COVID-19 vaccine uptake and its associated factors among Palestinian healthcare workers: Expectations beaten by reality

BackgroundIn response to this extraordinary outbreak, many countries and companies rush to develop an effective vaccine, authorize, and deliver it to all people across the world. Despite these extensive efforts, curbing this pandemic relies highly upon vaccination coverage. This study aimed to determine SARS-COV-2 vaccine uptake among Palestinian healthcare workers, the factors that influence vaccination uptake, and the motivators and barriers to vaccination.MethodsA cross-sectional study was conducted using an online anonymous self-administered questionnaire during April and May 2021, after the Palestinian Ministry of Health launched the COVID-19 vaccination campaign.The questionnaire collected socio-demographic characteristics, vaccination attitude and vaccination uptake status, and motivators and barriers towards vaccination. In addition, multivariate logistic regression was performed to identify the influencing factors of vaccination uptake.ResultsThe study included 1018 participants from different professions, including 560 (55.0%) females. Of the participants, 677 (66.5%; 95% CI: 63.5–69.4%) received the vaccine. Higher uptake was observed among males (aOR = 1.5; 95 %CI: 1.1–2.1), single HCWs (aOR = 1.3; 95 %CI: 1.1–1.8), HCWs working in the non-governmental sector (aOR = 1.6; 95 %CI: 1.2–2.4), higher monthly income (aOR = 1.9; 95 %CI: 1.4–2.8) and smoking (aOR = 1.5; 95 %CI: 1.1–3.5). The lower level of negative vaccination attitudes predicted higher intake; mistrust of vaccine belief (aOR = 1.6; 95 %CI: 1.4–1.7) and worries over unforeseen future effects (aOR = 1.2; 95 %CI: 1.1–1.3).ConclusionIn conclusion, the COVID-19 vaccination uptake was comparable to other studies worldwide but still needs to be improved, especially in the context of this ongoing global pandemic. It is imperative to invest resources to promote vaccination uptake and target all the vaccine misconceptions and fears.     

Health Belief Model and parents' acceptance of the Pfizer-BioNTech and Sinopharm COVID-19 vaccine for children aged 5–18 years Old: A national survey

BackgroundDuring the COVID-19 pandemic, several vaccines received approval for children aged 18 or younger. Parents’ decisions to accept vaccines play an important role in the success of vaccination campaigns. The Health Belief Model (HBM) may explain its association with vaccine acceptance. This study examined parents’ Pfizer-BioNTech and Sinopharm vaccine acceptance for their children and its association with HBM.MethodsA cross-sectional study was conducted in March 2022 using an online survey. Respondents were parents of children aged 5–18 in public and private schools. The multistage random sampling technique was used to choose schools and respondents. Multivariable analysis was conducted to examine the association between vaccine acceptance and HBM.ResultsThe response rate was 55 %. Of 1,056 respondents, 80.1 % were female, with a mean age of 41, and 95.8 % were not health professionals. Pfizer-BioNTech had a greater acceptance rate than Sinopharm (90 % v.s. 36 %). The Multivariable analysis shows that perceived benefits (aOR = 25.30, 95 %CI = 10.02–63.89 and aOR = 17.94, 95 %CI = 9.56–33.66 for Pfizer-BioNTech and Sinopharm, respectively) and perceived barriers (aOR = 0.06, 95 %CI = 0.01–0.50 and aOR = 0.20, 95 %CI = 0.11–0.40 for Pfizer-BioNTech and Sinopharm, respectively) were associated with vaccine acceptance for both vaccines. Education was associated with Pfizer-BioNTech vaccine acceptance (aOR = 0.96, 95 %CI 0.71–1.29).ConclusionsThe respondents were more confident in Pfizer-BioNTech than Sinopharm. Perceived barriers and perceived benefits were strongly associated with the respondents’ vaccine acceptance for both vaccines. During epidemics and pandemics, the government needs vaccines with high efficacy and safety for a higher chance of parents’ vaccine acceptance. Future research should examine vaccine costs as perceived barriers for a newly out-of-pocket developed vaccine.     

COVID-19 vaccine intentions in the United States,a social-ecological framework

BackgroundCOVID-19 vaccine hesitancy is a major obstacle for pandemic mitigation. As vaccine hesitancy occurs along multiple dimensions, we used a social-ecological framework to guide the examination of COVID-19 vaccine intentions.MethodsUsing an online survey in the US conducted in July 2020, we examined intentions to obtain a COVID-19 vaccine, once available. 592 respondents provided data, including measures of demographics, vaccine history, social norms, perceived risk, and trust in sources of COVID-19 information. Bivariate and multivariate multinomial models were used to compare respondents who intended to be vaccinated against COVID-19 to respondents who did not intend or were ambivalent about COVID-19 vaccination.ResultsOnly 59.1% of the sample reported that they intended to obtain a COVID-19 vaccine. In the multivariate multinomial model, those respondents who did not intend to be vaccinated, as compared to those who did, had significantly lower levels of trust in the CDC as a source of COVID-19 information (aOR = 0.29, CI = 0.17–0.50), reported lower social norms of COVID-19 preventive behaviors (aOR = 0.67, CI 0.51–0.88), scored higher on COVID-19 Skepticism (aOR = 1.44, CI = 1.28–1.61), identified as more politically conservative (aOR = 1.23, CI = 1.05–1.45), were less likely to have obtained a flu vaccine in the prior year (aOR = 0.21, CI = 0.11–0.39), were less likely to be female (aOR = 0.51, CI = 0.29–0.87), and were much more likely to be Black compared to White (aOR = 10.70, CI = 4.09–28.1). A highly similar pattern was observed among those who were ambivalent about receiving a COVID-19 vaccine compared to those who intended to receive one.ConclusionThe results of this study suggest several avenues for COVID-19 vaccine promotion campaigns, including social network diffusion strategies and cross-partisan messaging, to promote vaccine trust. The racial and gender differences in vaccine intentions also suggest the need to tailor campaigns based on gender and race.     

Patterns and influencing factors of COVID-19 vaccination willingness among college students in China

BackgroundVaccination is an important preventive measure against the coronavirus disease 19 (COVID-19) pandemic. We aimed to examine the willingness to vaccination and influencing factors among college students in China.MethodsFrom March 18 to April 26, 2021, we conducted a cross-sectional online survey among college students from 30 universities in Wuhan, Hubei Province, China. The survey was composed of the sociodemographic information, psychological status, experience during pandemic, the willingness of vaccination and related information. Students’ attitudes towards vaccination were classified as ‘vaccine acceptance’, ‘vaccine hesitancy’, and ‘vaccine resistance’. Multinomial logistic regression analyses were performed to identify the influencing factors associated with vaccine hesitancy and resistance.ResultsAmong 23,143 students who completed the survey, a total of 22,660 participants were included in the final analysis with an effective rate of 97.9% after excluding invalid questionnaires. A total of 60.6% of participants would be willing to receive COVID-19 vaccine, 33.4% were hesitant to vaccination, and 6.0% were resistant to vaccination. Social media platforms and government agencies were the main sources of information vaccination. Worry about the efficacy and adverse effects of vaccine were the top two common reason of vaccine hesitancy and resistance. Multiple multinomial logistic regression analysis identified that participants who worried about the adverse effects of vaccination were more likely to be vaccine hesitancy (aOR = 2.44, 95% CI = 2.30, 2.58) and resistance (aOR = 2.71, 95% CI = 2.40, 3.05).ConclusionMore than half of college students are willing to receive the COVID-19 vaccine, whereas nearly one-third college students are still hesitant or resistant. It is crucial to provide sufficient and scientific information on the efficacy and safety of vaccine through social media and government agencies platforms to promote vaccine progress against COVID-19 and control the pandemic in China.     

COVID-19 vaccine perceptions and uptake in a national prospective cohort of essential workers

IntroductionIn a multi-center prospective cohort of essential workers, we assessed knowledge, attitudes, and practices (KAP) by vaccine intention, prior SARS-CoV-2 positivity, and occupation, and their impact on vaccine uptake over time.MethodsInitiated in July 2020, the HEROES-RECOVER cohort provided socio-demographics and COVID-19 vaccination data. Using two follow-up surveys approximately three months apart, COVID-19 vaccine KAP, intention, and receipt was collected; the first survey categorized participants as reluctant, reachable, or endorser.ResultsA total of 4,803 participants were included in the analysis. Most (70%) were vaccine endorsers, 16% were reachable, and 14% were reluctant. By May 2021, 77% had received at least one vaccine dose. KAP responses strongly predicted vaccine uptake, particularly positive attitudes about safety (aOR = 5.46, 95% CI: 1.4–20.8) and effectiveness (aOR = 5.0, 95% CI: 1.3–19.1). Participants’ with prior SARS-CoV-2 infection were 22% less likely to believe the COVID-19 vaccine was effective compared with uninfected participants (aOR 0.78, 95% CI: 0.64–0.96). This was even more pronounced in first responders compared with other occupations, with first responders 42% less likely to believe in COVID-19 vaccine effectiveness (aOR = 0.58, 95% CI 0.40–0.84). Between administrations of the two surveys, 25% of reluctant, 56% reachable, and 83% of endorser groups received the COVID-19 vaccine. The reachable group had large increases in positive responses for questions about vaccine safety (10% of vaccinated, 34% of unvaccinated), and vaccine effectiveness (12% of vaccinated, 27% of unvaccinated).DiscussionOur study demonstrates attitudes associated with COVID-19 vaccine uptake and a positive shift in attitudes over time. First responders, despite potential high exposure to SARS-CoV-2, and participants with a history of SARS-CoV-2 infection were more vaccine reluctant.ConclusionsPerceptions of the COVID-19 vaccine can shift over time. Targeting messages about the vaccine’s safety and effectiveness in reducing SARS-CoV-2 virus infection and illness severity may increase vaccine uptake for reluctant and reachable participants.     

First hepatitis B vaccine uptake in neonates prior to and during the COVID-19 pandemic

IntroductionRoutine vaccination for hepatitis B is recommended at birth, and most infants should be vaccinated within 24 h of life. Historically, vaccination rates have been less than ideal, and routine vaccination has been further complicated by the COVID-19 pandemic, with decreased uptake of many vaccines. This retrospective study assessed hepatitis B vaccination rates at birth before and after the start of the COVID-19 pandemic and explored the factors associated with lower vaccination rates.MethodsInfants born at a single academic medical center in Charleston, South Carolina from November 1, 2018 through June 30, 2021 were identified. Infants were excluded if they died or received ≥ 7 days of systemic steroid therapy within the first 37 days of life. Maternal and infant baseline characteristics and uptake of the first hepatitis B vaccine during hospital admission were recorded.ResultsA total of 7808 infants were included in the final analysis, with an overall vaccine uptake of 91.6 %. Of the 3880 neonates in the pre-pandemic group, 3583 (92.3 %) were vaccinated, versus 3571 (90.9 %) of 3928 neonates in the pandemic group (rate difference = 1.4 %; 95 % confidence interval −2.8 % to 5.7 %, p = 0.52). Factors independently associated with lower vaccine uptake included being of non-Hispanic white race, born to a married mother, birth weight < 2 kg, and parental refusal of erythromycin eye ointment at birth.ConclusionThe COVID-19 pandemic did not significantly affect the uptake of inpatient neonatal hepatitis B vaccination. Several patient-specific factors were associated with suboptimal vaccination rates in this population.     

Acceptance of the COVID-19 vaccine based on the health belief model: A population-based survey in Hong Kong

BackgroundVaccines for COVID-19 are anticipated to be available by 2021. Vaccine uptake rate is a crucial determinant for herd immunity. We examined factors associated with acceptance of vaccine based on (1). constructs of the Health Belief Model (HBM), (2). trust in the healthcare system, new vaccine platforms and manufacturers, and (3). self-reported health outcomes.MethodsA population-based, random telephone survey was performed during the peak of the third wave of COVID-19 outbreak (27/07/2020 to 27/08/2020) in Hong Kong. All adults aged ≥ 18 years were eligible. The survey included sociodemographic details; self-report health conditions; trust scales; and self-reported health outcomes. Multivariable regression analyses were applied to examine independent associations. The primary outcome is the acceptance of the COVID-19 vaccine.ResultsWe conducted 1200 successful telephone interviews (response rate 55%). The overall vaccine acceptance rate after adjustment for population distribution was 37.2% (95% C.I. 34.5–39.9%). The projected acceptance rates exhibited a “J-shaped” pattern with age, with higher rates among young adults (18–24 years), then increased linearly with age. Multivariable regression analyses revealed that perceived severity, perceived benefits of the vaccine, cues to action, self-reported health outcomes, and trust in healthcare system or vaccine manufacturers were positive correlates of acceptance; whilst perceived access barriers and harm were negative correlates. Remarkably, perceived susceptibility to infection carried no significant association, whereas recommendation from Government (aOR = 10.2, 95% C.I. 6.54 to 15.9, p < 0.001) was as the strongest driving factor for acceptance. Other key obstacles of acceptance included lack of confidence on newer vaccine platforms (43.4%) and manufacturers without track record (52.2%), which are of particular relevance to the current context.ConclusionsGovernmental recommendation is an important driver, whereas perceived susceptibility is not associated with acceptance of COVID-19 vaccine. These HBM constructs and independent predictors inform evidence-based formulation and implementation of vaccination strategies.     

Influenza vaccination in the time of COVID-19: A national U.S. survey of adults

IntroductionDecisions about influenza vaccination for fall-winter 2020 were made against the backdrop of the COVID-19 pandemic. During May 2020, the authors examined intended vaccination in the next 12 months in relationship to demographic variables, healthcare attitudes, and personal COVID-19 experiences for two samples of adults--those who did not receive influenza vaccine during the prior 12 months, and those who did.MethodsIn May 2020, a cross-sectional online survey was conducted with a national US sample. Participants reported prior influenza vaccination (yes/no during prior 12 months) and anticipated vaccination (yes/no during next 12 months). Covariates included demographic characteristics (e.g., gender, race-ethnicity, political ideology), general beliefs (e.g., benefits of vaccines, altruistic attitudes), and COVID-19 health beliefs and experiences (COVID-19 worry and severity, perception of COVID-19 as a community threat, knowing someone with COVID-19). For each group, hierarchical multivariable logistic regression was conducted with intent to vaccinate as the outcome.ResultsAmong participants (n = 3502), 47% did not receive influenza vaccine in the prior 12 months and 53% had; 25.5% of non-vaccinators and 91.9% of vaccinators intended future vaccination. For non-vaccinators, odds of intending vaccination was associated with race/ethnicity (Hispanics were more likely to intend than white-NH; AOR = 1.74; 95% CI = 1.23–2.4), greater perceived benefits of vaccination (AOR = 2.19; 95% CI = 1.88–2.54), and perception of COVID-19 as a community threat (AOR = 1.91; 95% CI = 1.49–2.45). For vaccinators, odds of intending vaccination was associated with age (AOR = 1.04; 95% CI = 1.03–1.05), race/ethnicity (Black-NH and Other-NH were less likely to intend than white-NH, AOR = 0.60; 95% CI = 0.36–0.999; and AOR = 0.45; 95% CI = 0.24–0.84, respectively), greater perceived benefits of vaccination (AOR = 1.88; 95% CI = 1.45–2.45) and greater perception of collective benefits of vaccines (AOR = 1.48; 95% CI = 1.15–1.90).ConclusionsThe COVID-19 pandemic may have served as a cue to action for influenza vaccination intention among some prior non-vaccinators whereas intention among prior vaccinators is more related to positive attitudes toward vaccination.     

Let's talk about COVID-19 vaccination: Relevance of conversations about COVID-19 vaccination and information sources on vaccination intention in Switzerland

BackgroundCOVID-19 vaccine hesitancy is known to be more pronounced among young people. However, there are a lack of studies examining determinants of COVID-19 vaccination intention in the general population in this young age-group in Switzerland, and in particular, studies investigating the influence of information sources and social networks on vaccination intention are missing.MethodsThe cross-sectional study “COVIDisc – Discussion with young people about the corona pandemic” provided the opportunity to investigate COVID-19 vaccination intention in 893 individuals aged 15–34 years from the cantons of Zurich, Thurgau, and Ticino in Switzerland. An online survey was administered between 10 November 2020 and 5 January 2021. Associations of public information sources and conversations about COVID-19 with COVID-19 vaccination intention were analyzed with multivariable logistic regression and mediation analysis using generalized structural equation modeling.Results51.5% of the participants intended or probably intended to get vaccinated once the vaccine would be available. Using print or online news (AOR 1.50, 95% CI 1.09–2.07) as an information source and having conversations about the COVID-19 vaccine (AOR 2.09, 95% CI 1.52–2.87) increased participants' COVID-19 vaccination intention. The effects of female gender (b = −0.267, p = 0.039) and risk perception (b = 0.163, p = 0.028) were partially mediated by having conversations about the COVID-19 vaccine. The effects of age (b = −0.036, p = 0.016), secondary educational level (b = 0.541, p = 0.010) and tertiary educational level (b = 0.726, p = 0.006) were fully mediated via having conversations about the COVID-19 vaccine.ConclusionsConversations and campaigns should start even before vaccines become available. Our data support interventions for young women and less educated people using social norms and supporting information seeking with news. Trust and risk perceptions are essential foundations for vaccine intentions.     

COVID-19 vaccine coverage disparities in rural and farm children

BackgroundThe risks of severe outcomes associated with SARS-CoV-2 (COVID-19) are elevated in unvaccinated individuals. It remains crucial to understand patterns of COVID-19 vaccination, particularly in younger and remote populations where coverage often lags. This study examined disparities in COVID-19 vaccine coverage in farm children and adolescents.MethodsA cross-sectional analysis was conducted in patients of the Marshfield Clinic Health System (MCHS) in Wisconsin. The sample included children/adolescents age 5–17 years who were eligible for COVID-19 vaccine initiation for ≥ 90 days (as of September 30, 2022), stratified by those who lived vs did not live on a farm. Outcomes included COVID-19 vaccine initiation, series completion, and booster receipt. Multivariable regression was used to examine associations between COVID-19 vaccination and farm, as well as rural and non-rural, residence.ResultsThere were 47,104 individuals (5% farm residents) in the sample. Overall, 33% of participants initiated and 31% completed the COVID-19 vaccine series. After adjustment, farm residence was associated with significantly lower odds of COVID-19 vaccine initiation (aOR [95% CI] = 0.68 [0.61, 0.75], p < 0.001), series completion (aOR = 0.67 [0.60, 0.75], p < 0.001), and booster receipt (aOR = 0.73 [0.61, 0.88], p = 0.001). Secondary analyses found COVID-19 vaccine coverage was lowest in young children who lived on dairy farms.ConclusionsCOVID-19 vaccine coverage is low in north-central Wisconsin children and adolescents. Those who live on farms have significantly lower likelihood of COVID-19 vaccine initiation, series completion, and booster receipt compared to non-farm counterparts. Farm families are an underserved group and require more effective public health interventions designed to prevent COVID-19.     

Acceptability of a COVID-19 vaccine among adults in the United States: How many people would get vaccinated?

BackgroundCoronavirus disease 2019 (COVID-19) was declared a pandemic in March 2020. Several prophylactic vaccines against COVID-19 are currently in development, yet little is known about people’s acceptability of a COVID-19 vaccine.MethodsWe conducted an online survey of adults ages 18 and older in the United States (n = 2,006) in May 2020. Multivariable relative risk regression identified correlates of participants’ willingness to get a COVID-19 vaccine (i.e., vaccine acceptability).ResultsOverall, 69% of participants were willing to get a COVID-19 vaccine. Participants were more likely to be willing to get vaccinated if they thought their healthcare provider would recommend vaccination (RR = 1.73, 95% CI: 1.49–2.02) or if they were moderate (RR = 1.09, 95% CI: 1.02–1.16) or liberal (RR = 1.14, 95% CI: 1.07–1.22) in their political leaning. Participants were also more likely to be willing to get vaccinated if they reported higher levels of perceived likelihood getting a COVID-19 infection in the future (RR = 1.05, 95% CI: 1.01–1.09), perceived severity of COVID-19 infection (RR = 1.08, 95% CI: 1.04–1.11), or perceived effectiveness of a COVID-19 vaccine (RR = 1.46, 95% CI: 1.40–1.52). Participants were less likely to be willing to get vaccinated if they were non-Latinx black (RR = 0.81, 95% CI: 0.74–0.90) or reported a higher level of perceived potential vaccine harms (RR = 0.95, 95% CI: 0.92–0.98).ConclusionsMany adults are willing to get a COVID-19 vaccine, though acceptability should be monitored as vaccine development continues. Our findings can help guide future efforts to increase COVID-19 vaccine acceptability (and uptake if a vaccine becomes available).     

Association between COVID-19 vaccination status,time elapsed since the last vaccine dose,morbidity, and absenteeism among healthcare personnel: A prospective,multicenter study

AimWe assessed the impact of COVID-19 vaccination status and time elapsed since the last vaccine dose on morbidity and absenteeism among healthcare personnel (HCP) in the context of a mandatory vaccination policy.MethodsWe followed 7592 HCP from November 15, 2021 through April 17, 2022. Full COVID-19 vaccination was defined as a primary vaccination series plus a booster dose at least six months later.ResultsThere were 6496 (85.6 %) fully vaccinated, 953 (12.5 %) not fully vaccinated, and 143 (1.9 %) unvaccinated HCP. A total of 2182 absenteeism episodes occurred. Of 2088 absenteeism episodes among vaccinated HCP with known vaccination status, 1971 (94.4 %) concerned fully vaccinated and 117 (5.6 %) not fully vaccinated. Fully vaccinated HCP had 1.6 fewer days of absence compared to those not fully vaccinated (8.1 versus 9.7; p-value < 0.001). Multivariable regression analyses showed that full vaccination was associated with shorter absenteeism compared to not full vaccination (OR: 0.56; 95 % CI: 0.36–0.87; p-value = 0.01). Compared to a history of ≤ 17.1 weeks since the last dose, a history of > 17.1 weeks since the last dose was associated with longer absenteeism (OR: 1.22, 95 % CI:1.02–1.46; p-value = 0.026) and increased risk for febrile episode (OR: 1.33; 95 % CI: 1.09–1.63; p-value = 0.004), influenza-like illness (OR: 1.53, 95 % CI: 1.02–2.30; p-value = 0.038), and COVID-19 (OR: 1.72; 95 % CI: 1.24–2.39; p-value = 0.001).ConclusionsThe COVID-19 pandemic continues to impose a considerable impact on HCP. The administration of a vaccine dose in less than four months before significantly protected against COVID-19 and absenteeism duration, irrespective of COVID-19 vaccination status. Defining the optimal timing of boosters is imperative.     

Veteran influenza vaccination acceptance rates after completion of the COVID-19 vaccination series among historical influenza vaccine refusers

BackgroundVaccine hesitancy remains an obstacle in disease prevention. The recent COVID-19 pandemic highlighted this issue and may influence acceptance of other recommended immunizations. The objective of this study was to determine the association between receiving the COVID-19 vaccination and the subsequent acceptance of the influenza vaccination in a Veteran population that historically declined influenza vaccination.MethodsInfluenza vaccination acceptance rates for the 2021–2022 influenza season were compared in patients who historically declined the influenza vaccine and either received or declined COVID-19 vaccinations. Logistic regression analysis was used to analyze factors associated with receiving influenza vaccination among vaccine hesitant individuals.ResultsA higher proportion of patients who had received the COVID-19 vaccination(s) subsequently accepted the influenza vaccination compared to the control group (37% vs. 11%, OR = 5.03; CI 3.15–8.26; p = 0.0001).ConclusionAmong previous influenza vaccine decliners, those who received COVID-19 vaccination had significantly higher odds of receiving subsequent influenza vaccination.     

Influenza vaccine acceptance and hesitancy among adults hospitalized with severe acute respiratory illnesses,United States 2019–2020

IntroductionUnderstanding patient factors associated with not being vaccinated is essential for successful implementation of influenza vaccination programs.MethodsWe enrolled adults hospitalized with severe acute respiratory illness at 10 United States (US) hospitals during the 2019–2020 influenza season. We interviewed patients to collect data about influenza vaccination, sociodemographic characteristics, and vaccine perceptions.ResultsAmong 679 participants, 264 (38.9%) reported not receiving influenza vaccination. Among those not vaccinated, 135 (51.1%) reported choosing not to receive a vaccine because of perceived ineffectiveness (36.7%) or risk (14.4%) of influenza vaccination. Sociodemographic factors associated with not being vaccinated included no medical insurance (aOR = 6.42; 95% CI: 2.52–16.38) and being non-White or Hispanic (aOR = 1.54, 95% CI: 1.02–2.32).ConclusionsOptimizing uptake of influenza vaccination in the US may be improved by educational programs regarding vaccine safety and effectiveness and enhancing vaccine access, particularly among non-White and Hispanic Americans and those without medical insurance.     

Trends and disparities in the utilization of influenza vaccines among commercially insured US adults during the COVID-19 pandemic

ObjectivesLittle is known about how the coronavirus disease 2019 (COVID-19) pandemic affected influenza vaccine utilization and disparities. We sought to estimate changes in the likelihood of receiving an influenza vaccine across different demographic subgroups during the COVID-19 pandemic.MethodsIn this cohort study, we analyzed influenza vaccine uptake from 2019 to 2020 using Optum commercial insurance claims data. Eligible individuals were aged 18 or above in 2018 and continuously enrolled from 08/01/2018 through 12/31/2020. Multivariable logistic regressions were fitted for the individual-level influenza vaccine uptake. Adjusting for demographic factors and medical histories, we estimated probabilities of receiving influenza vaccines before and after the COVID-19 pandemic across demographic subgroups.ResultsFrom August to December 2019, unadjusted influenza vaccination rate was 42.3%, while in the same period of 2020, the vaccination rate increased to 45.9%. Females had a higher vaccination rate in 2019 (OR: 1.16, 95% CI 1.15–1.16), but the increase was larger for males. Blacks and Hispanics had lower vaccination rates relative to whites in both flu seasons. Hispanics showed a greater increase in vaccination rate, increasing by 7.8 percentage points (p < .001) compared to 4.4 (p < .001) for whites. The vaccination rate for Blacks increased by 5.2 percentage points (p < .001). All income groups experienced vaccination improvements, but poorer individuals had lower vaccination rates in both seasons. The most profound disparities occurred when educational cohort were considered. The vaccination rate increased among college-educated enrollees by 8.8 percentage points (p < .001) during the pandemic compared to an increase of 2.8 percentage points (p < .001) for enrollees with less than a 12th grade education. Past influenza infections or vaccination increased the likelihood of vaccination (p < .001).ConclusionsThe COVID-19 pandemic was associated with increased influenza vaccine utilization. Disparities persisted but narrowed with respect to gender and race but worsened with respect to income and educational attainment.     

COVID-19 vaccination hesitancy in people affected by diabetes and strategies to increase vaccine compliance: A systematic narrative review and meta-analysis

IntroductionPeople affected by diabetes are at higher risk for complications from certain vaccine-preventable diseases. Suboptimal vaccination coverages are reported in this population sub-group. The purpose of this study is to estimate the proportion of diabetic patients who express hesitation to the COVID-19 vaccine worldwide.MethodsSeven studies were included in the meta-analysis and systematic review, selected from scientific articles available in the MEDLINE/PubMed, Google Scholar and Scopus databases from 2020 to 2022. The following terms were used for the search strategy: (adherence OR hesitancy OR compliance OR attitude) AND (covid* OR SARS*) AND (vaccin* OR immun*) AND (diabet*).ResultsThe vaccine hesitation rate among persons with diabetes was 27.8 % (95 %CI = 15.6–41.9 %). In the comparison of vaccine hesitancy between sexes and educational status, the RRs were 0.90 (95 %CI = 0.71–1.15) and 0.88 (95 %CI = 0.76–1.02), respectively. The main reasons of unwillingness were lack of information, opinion that the vaccine was unsafe or not efficient, and fear of adverse events.ConclusionsIn order to achieve a high vaccination coverage, multifactorial approach is needed, which requires major social, scientific and health efforts. The success of the vaccination campaign in this population depends on the capillarity and consistency of the interventions implemented.     

Real-world uptake of COVID-19 vaccination among individuals expressing vaccine hesitancy: A registry-linkage study

Introduction Uptake of COVID-19 vaccination remains suboptimal in the United States and other settings. Though early reports indicated that a strong majority of people were interested in receiving the COVID-19 vaccine, the association between vaccine intention and uptake is not yet fully understood. Our objective was to describe predictors of vaccine uptake, and estimate the sensitivity, specificity, and predictive values of self-reported COVID-19 vaccine status compared to a comprehensive statewide COVID-19 vaccine registry.Methods A cohort of California residents that received a molecular test for SARS-CoV-2 infection during 24 February-5 December 2021 were enrolled in a telephone-administered survey. Survey participants were matched with records in a statewide immunization registry. Cox proportional hazards model were used to compare time to vaccination among those unvaccinated at survey enrollment by self-reported COVID-19 vaccination intention.ResultsAmong 864 participants who were unvaccinated at the time of interview, 272 (31%) had documentation of receipt of COVID-19 vaccination at a later date; including 194/423 (45.9%) who had initially reported being willing to receive vaccination, 41/185 (22.2%) who reported being unsure about vaccination, and 37/278 (13.3%) who reported unwillingness to receive vaccination. Adjusted hazard ratios (aHRs) for registry-confirmed COVID-19 vaccination were 0.49 (95% confidence interval: 0.32–0.76) and 0.21 (0.12–0.36) for participants expressing uncertainty and unwillingness to receive vaccination, respectively, as compared with participants who reported being willing to receive vaccination. Time to vaccination was shorter among participants from higher-income households (aHR = 3.30 [2.02–5.39]) and who reported co-morbidities or immunocompromising conditions (aHR = 1.54 [1.01–2.36]). Sensitivity of self-reported COVID-19 vaccination status was 82% (80–85%) overall, and 98% (97–99%) among those referencing vaccination records; specificity was 87% (86–89%).ConclusionWillingness to receive COVID-19 vaccination was an imperfect predictor of real-world vaccine uptake. Improved messaging about COVID-19 vaccination regardless of previous SARS-CoV-2 infection status may help improve uptake.     

Relationship between double COVID-19 vaccine uptake and trust in effectiveness and safety of vaccination in general in 23 Member states of the European Union: an ecological study

IntroductionThe aim of this study was to assess the relationship between double COVID-19 vaccine uptake and trust in effectiveness and safety of vaccination in general in 23 European Union (EU) countries.MethodsEcological study. Data was retrieved from the Flash Eurobarometer 494 and Our World in Data. We estimated Pearson’s correlation coefficients and fitted multiple linear regression models.ResultsThere is a negative linear correlation between the percentage of people doubly vaccinated and the percentage of low trust in vaccine effectiveness (r = -0.48, p-value = 0.021), and the percentage of low trust in vaccine safety (r = -0.43, p-value = 0.041). There is a negative adjusted relation between the percentage of low trust in vaccine safety and the percentage of people doubly vaccinated (aβ_{% low trust in vaccine safety}:-0.25; 95% CI: ?0.49,-0.01, p-value = 0.045).ConclusionAn increase in health literacy of people living in certain countries in the EU may be needed to boost COVID-19 vaccine uptake.