Vaccine Confidence and Coverage among Medical Students at a Federal University in Brazil.

BACKGROUND: Declining vaccination coverage (VC) and vaccine hesitancy among medical students are global challenges. These challenges reflect individual and logistical barriers to a sufficient adherence toward essential vaccines for healthcare professionals, as well as presenting a need for educational strategies during undergraduate training. METHODS: This is a prospective study for evaluating VC rates, sociodemographic associations, and the vaccine confidence among medical students at a federal university in Brazil. The data collection included questionnaires and individual analyses of the participants' vaccination records. RESULTS: A total of 237 medical students from all six years of an undergraduate program participated, of whom 124 (52.3%) had a vaccination record. Although the majority considered the vaccines to be "Completely Safe" (86.9%), the VC rates for complete vaccination schedules were relatively low, ranging from 87.9% (hepatitis B vaccine) to 3.2% (meningococcal B vaccine), including the vaccines from the National Immunization Program (NIP) and the private sector. Higher VC rates were found to occur among students in the final years of their undergraduate studies, in those from families with higher monthly incomes, and those from private secondary schools. CONCLUSIONS: Given the low VC rates among medical students, other factors in addition to vaccine confidence may be determinants, thus highlighting the importance of reviewing policies for the inclusion of priority groups in the NIP and in implementing educational interventions during undergraduate training.

Factors Associated with Vaccination Adequacy in People Living with HIV: A Cross-Sectional Study.

People living with HIV (PLHIV) are at greater risk of illness and death from vaccine-preventable diseases. This study aimed to identify the predictors associated with the recommended vaccination schedule for this group. This was a single-center cross-sectional study conducted in a large Brazilian municipality, evaluating the vaccination statuses of 645 PLHIV for nine immunizers. The primary outcome was the adequacy of the vaccination schedule. The vaccination status was assessed for the diphtheria/tetanus, hepatitis B, hepatitis A, measles/mumps/rubella, yellow fever, 13- and 23-valent pneumococcal, meningococcal C, and HPV vaccines. Those who had received all of the recommended vaccinations in accordance with the schedule established by the government at the time of the assessment, without any delays, were classified as having received an "adequate schedule". The independent variables included sociodemographic, clinical-epidemiological, and social vulnerability factors, analyzed by multiple logistic regression with adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs). Only 47 individuals (7.3%) had an adequate vaccination schedule for all vaccines. The vaccines with the highest adequacy rate were diphtheria and tetanus (533; 82.6%), and the one with the lowest rate was measles/mumps/rubella (MMR) (243; 37.7%). The main predictors of a complete vaccination schedule were the age group, place of clinical follow-up, and where they received their last doses of vaccines. Educational interventions for PLHIV and health professionals are needed to improve the vaccination coverage in this group.

Seroprevalence Assessment of Anti-Varicella Antibodies among Adults in the Province of Florence (Italy).

Background: Varicella infections follow a benign course in around 90% of cases, with more severe forms occurring in adults. To identify potential pockets of susceptibility and to improve targeted immunization strategies, this study aims to critically assess immunological status by evaluating varicella seroprevalence among adults (18-99 years) in the province of Florence (Italy), nearly a decade after Tuscany introduced the vaccination program. Methods: A convenience sample of 430 subjects aged 18 to 94 years (mean age 51.8 ± 18.8 years), stratified by age and sex (53.7% of subjects were female; N = 231), was collected between 2018 and 2019. Sero-analytical analyses were conducted utilizing EUROIMMUN Anti-VZV ELISA (IgG) kits. Results: Most of them were of Italian nationality (87.4%; N = 376). Among the 430 tested samples, 385 (89.5%) were positive and 39 (9.1%) were negative. The remaining six sera (1.4%), confirmed as equivocal, were excluded from further analysis. No significant differences were found based on sex (p-value = 0.706) or nationality (p-value = 0.112). The application of trend tests (Mantel-Haenszel; Kendall Tau-b) showed a significant trend (p < 0.024 and p < 0.032, respectively), with an increasing probability of finding a positive anti-varicella serological status passing from a lower age group (84.2%) to a higher one (93.0%). By considering the female population aged 18-49 years, the seroprevalence of anti-varicella antibodies was found to be 88.4%, with a susceptibility of 11.6%, highlighting the risk of acquiring infection during pregnancy. Conclusions: The introduction of varicella vaccination has had a significant impact on public health in Tuscany and in Italy more generally. However, further efforts should be made to reduce the number of individuals still susceptible in adulthood, with particular attention given to women of childbearing age and the promotion of vaccination through mass and social media and institutional websites.

Comprehensive Spatial-Temporal and Risk Factor Insights for Optimizing Livestock Anthrax Vaccination Strategies in Karnataka, India.

Anthrax, a zoonotic disease affecting both livestock and humans globally, is caused by Bacillus anthracis. The objectives of this study were the following: (1) to identify environmental risk factors for anthrax and use this information to develop an improved predictive risk map, and (2) to estimate spatial variation in basic reproduction number (Ro) and herd immunity threshold at the village level, which can be used to optimize vaccination policies within high-risk regions. Based on the anthrax incidences from 2000-2023 and vaccine administration figures between 2008 and 2022 in Karnataka, this study depicted spatiotemporal pattern analysis to derive a risk map employing machine learning algorithms and estimate Ro and herd immunity threshold for better vaccination coverage. Risk factors considered were key meteorological, remote sensing, soil, and geographical parameters. Spatial autocorrelation and SaTScan analysis revealed the presence of hotspots and clusters predominantly in the southern, central, and uppermost northern districts of Karnataka and temporal cluster distribution between June and September. Factors significantly associated with anthrax were air temperature, surface pressure, land surface temperature (LST), enhanced vegetation index (EVI), potential evapotranspiration (PET), soil temperature, soil moisture, pH, available potassium, sulphur, and boron, elevation, and proximity to waterbodies and waterways. Ensemble technique with random forest and classification tree models were used to improve the prediction accuracy of anthrax. High-risk areas are expected in villages in the southern, central, and extreme northern districts of Karnataka. The estimated Ro revealed 11 high-risk districts with Ro > 1.50 and respective herd immunity thresholds ranging from 11.24% to 55.47%, and the assessment of vaccination coverage at the 70%, 80%, and 90% vaccine efficacy levels, all serving for need-based strategic vaccine allocation. A comparison analysis of vaccinations administered and vaccination coverage estimated in this study is used to illustrate difference in the supply and vaccine force. The findings from the present study may support in planning preventive interventions, resource allocation, especially of vaccines, and other control strategies against anthrax across Karnataka, specifically focusing on predicted high-risk regions.

Sociodemographic determinants of COVID-19 vaccination in adolescents in Stockholm, Sweden.

INTRODUCTION: Limited data exists on sociodemographic differences in vaccination coverage against COVID-19 among adolescents. This study investigated the association of sociodemographic factors and vaccination coverage of adolescents aged 12 to 17 years over the period of the general vaccination recommendation in Stockholm County, Sweden. METHOD: We conducted a population-based retrospective cross-sectional study of vaccine uptake of at least one dose of a COVID-19 vaccine up until 31 October 2022. We analysed vaccination coverage by sex, age group, underlying medical conditions, household socioeconomic factors, and vaccination status among adults in the household, using stratified analyses and multivariable modified Poisson regression models. RESULTS: The study cohort consisted of 166,634 adolescents out of which 70.3 % (n = 117,185) received at least one dose of a COVID-19 vaccine. In the fully adjusted model, the strongest predictor for not being vaccinated was if all adults in the household were unvaccinated (adjusted relative risk, aRR, 0.11, 95 % CI 0.10-0.12). Lower household education level and having both parents born outside Sweden were similarly negatively associated with vaccination coverage among adolescents. No association was observed between vaccination coverage and being an adolescent with an underlying medical condition (aRR 1.00, 95 % CI 0.99-1.02). CONCLUSION: Our results emphasise the necessity to address sociodemographic disparities and to engage adolescents at risk through targeted measures with particular emphasis in low-vaccination households in addition to households with lower education and non-Swedish origins in future vaccination program strategies.

COVID-19 Vaccination Acceptance and Hesitancy in Healthcare Workers and the General Population: A Systematic Review and Policy Recommendations.

INTRODUCTION: The COVID-19 pandemic challenged the scientific community to find and develop a vaccine to fight the disease. However, problems with achieving high vaccine coverage have emerged, even among high-risk groups such as healthcare workers (HCWs). OBJECTIVE: The objective of this study is to examine factors that influence HCW's and the general population's adherence to COVID-19 vaccination and national policies to vaccinate HCWs and other target groups. METHODS: This study implemented a systematic review. The eligibility criterion for inclusion was being a HCW, target population for COVID-19 vaccination, or general population. Vaccination was the target intervention, and the COVID-19 pandemic was the context. We selected publications published between 1 January 2020 and 31 March 2022. Qualitative synthesis used a meta-aggregation approach. RESULTS: Nineteen articles were included in the review, with study samples varying from 48 to 5708 participants. Most of the evidence came from cross-sectional and qualitative studies. The main findings were related to vaccine hesitancy rather than acceptance. Factors associated with HCW vaccine hesitancy included subjective feelings such as safety concerns, rapid vaccine development, and insufficient testing. Countries have adopted few public policies to address this problem, and the main concern is whether to enforce vaccination and the extent to which measures are legal. CONCLUSION: The quality of the evidence base remains weak. Skepticism, mistrust, and hesitancy toward vaccination are global issues that can jeopardize vaccination coverage.

Digital Gamification Tool (Let's Control Flu) to Increase Vaccination Coverage Rates: Proposal for Algorithm Development.

BACKGROUND: Influenza represents a critical public health challenge, disproportionately affecting at-risk populations, including older adults and those with chronic conditions, often compounded by socioeconomic factors. Innovative strategies, such as gamification, are essential for augmenting risk communication and community engagement efforts to address this threat. OBJECTIVE: This study aims to introduce the "Let's Control Flu" (LCF) tool, a gamified, interactive platform aimed at simulating the impact of various public health policies (PHPs) on influenza vaccination coverage rates and health outcomes. The tool aligns with the World Health Organization's goal of achieving a 75% influenza vaccination rate by 2030, facilitating strategic decision-making to enhance vaccination uptake. METHODS: The LCF tool integrates a selection of 13 PHPs from an initial set proposed in another study, targeting specific population groups to evaluate 7 key health outcomes. A prioritization mechanism accounts for societal resistance and the synergistic effects of PHPs, projecting the potential policy impacts from 2022 to 2031. This methodology enables users to assess how PHPs could influence public health strategies within distinct target groups. RESULTS: The LCF project began in February 2021 and is scheduled to end in December 2024. The model creation phase and its application to the pilot country, Sweden, took place between May 2021 and May 2023, with subsequent application to other European countries. The pilot phase demonstrated the tool's potential, indicating a promising increase in the national influenza vaccination coverage rate, with uniform improvements across all targeted demographic groups. These initial findings highlight the tool's capacity to model the effects of PHPs on improving vaccination rates and mitigating the health impact of influenza. CONCLUSIONS: By incorporating gamification into the analysis of PHPs, the LCF tool offers an innovative and accessible approach to supporting health decision makers and patient advocacy groups. It enhances the comprehension of policy impacts, promoting more effective influenza prevention and control strategies. This paper underscores the critical need for adaptable and engaging tools in PHP planning and implementation. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/55613.

Determining factors associated with vaccination coverage in the first year of life in Brazil (2013-2022).

Access to vaccination has emerged as a growing global public health concern; however, there has been limited research on characteristics of local governments that are associated with vaccination coverage. The objective of this study was to evaluate predictors of vaccination coverage in Brazil for the first year of life between 2013 and 2022. We focused on variables pertaining to the available resources of local governments and their investments in infrastructure and human resources in the health sector. We used binomial generalized linear mixed models to estimate the association of these variables with vaccination coverage in Brazilian municipalities. Our results show that municipalities with better fiscal capacity were more effective in delivering vaccines. Municipalities that rely more on federal and state resources had lower vaccination coverage. Additionally, investment in health professionals was often negatively correlated with vaccination coverage. The study underscores the importance of better understanding the relationship between local government characteristics and vaccination coverage, particularly in regions where local governments are responsible for vaccine delivery.

Exploring the feasibility and acceptability of community paramedicine programs in achieving vaccination equity: a qualitative study.

BACKGROUND: Mobile Integrated Health-Community Paramedicine (MIH-CP) is a novel approach that may reduce the rural-urban disparity in vaccination uptake in the United States. MIH-CP providers, as physician extenders, offer clinical follow-up and wrap-around services in homes and communities, uniquely positioning them as trusted messengers and vaccine providers. This study explores stakeholder perspectives on feasibility and acceptability of community paramedicine vaccination programs. METHODS: We conducted semi-structured qualitative interviews with leaders of paramedicine agencies with MIH-CP, without MIH-CP, and state/regional leaders in Indiana. Interviews were audio recorded, transcribed verbatim, and analyzed using content analysis. RESULTS: We interviewed 24 individuals who represented EMS organizations with MIH-CP programs (MIH-CP; n = 10), EMS organizations without MIH-CP programs (non-MIH-CP; n = 9), and state/regional administrators (SRA; n = 5). Overall, the sample included professionals with an average of 19.6 years in the field (range: 1-42 years). Approximately 75% (n = 14) were male, and all identified as non-Hispanic white. MIH-CPs reported they initiated a vaccine program to reach underserved areas, operating as a health department extension. Some MIH-CPs integrated existing services, such as food banks, with vaccine clinics, while other MIH-CPs focused on providing vaccinations as standalone initiatives. Key barriers to vaccination program initiation included funding and vaccinations being a low priority for MIH-CP programs. However, participants reported support for vaccine programs, particularly as they provided an opportunity to alleviate health disparities and improve community health. MIH-CPs reported low vaccine hesitancy in the community when community paramedics administered vaccines. Non-CP agencies expressed interest in launching vaccine programs if there is clear guidance, sustainable funding, and adequate personnel. CONCLUSIONS: Our study provides important context on the feasibility and acceptability of implementing an MIH-CP program. Findings offer valuable insights into reducing health disparities seen in vaccine uptake through community paramedics, a novel and innovative approach to reduce health disparities in rural communities.

COVID-19 vaccination receipt and intention to vaccinate among adults with disabilities and functional limitations, United States.

BACKGROUND: People with disabilities are at increased risk for severe COVID-19 health outcomes and face barriers accessing COVID-19 vaccines. The aim of this study is to examine receipt of ≥ 1 dose of the COVID-19 vaccine, intention to vaccinate in the future, and reasons for not vaccinating among people with disabilities and functional limitations using a large, nationally representative dataset of adults in the United States. METHODS: Data were analyzed from the Census Bureau's Household Pulse Survey (14-26 April 2021, n = 68,913). Separate logistic regression models were conducted to examine the association between each disability (vision, hearing, cognition and mobility), overall disability status, and functional status on ≥1 dose COVID-19 vaccination receipt and intention to vaccinate. Furthermore, reasons for not getting vaccinated were examined among those with disabilities or functional limitations. RESULTS: Approximately 13% of adults reported having a disability, and almost 60% reported having some or a lot of functional limitations. Over 65% of adults with disabilities had received ≥1 dose of COVID-19 vaccines, compared to 73% among adults without disabilities (adjusted prevalence ratio = 0.94). Among adults with disabilities, those who were younger, had lower educational attainment and income, did not have insurance and had a prior history of COVID-19 were less likely to get vaccinated or intend to get vaccinated than their respective counterparts. The main reasons for not getting vaccinated were concerns about possible side effects (52.1%), lack of trust in COVID-19 vaccines (45.4%) and lack of trust in the government (38.6%). DISCUSSION AND CONCLUSION: Efforts to ensure high and equitable vaccination coverage include working with communities to strengthen the message that the vaccine is safe and effective, educating health professionals about the need to recommend and promote vaccines, and making vaccination sites more accessible for people who need additional accommodations.

Changes in the mumps vaccine coverage and incidence of mumps before and after the public subsidization program: A descriptive study using a population-based database in Japan.

BACKGROUND: Evidence suggests that mumps infection can be eradicated by continuous mumps vaccine coverage. However, due to safety concerns, the mumps vaccination program in Japan shifted from routine to voluntary. To improve vaccination coverage rates, some municipalities began to independently provide subsidization programs for the mumps vaccine. However, the changes in vaccination coverage and incidence of mumps before and after initiating the subsidization programs remain unknown. METHODS: In April 2018, a city in Japan started a subsidization program for the mumps vaccine for children aged 1-6 years. This study used data on vaccination records and healthcare claims from the city obtained between July 2016 and December 2019. We described changes in vaccination coverage, and the incidence of mumps infections before and after the start of the subsidization program. RESULTS: The mumps vaccination coverage rate among eligible children was 3.3% at the program's initiation; this increased by about 1.5% per month, reaching 38.4% 21 months after the initiation of the program. Among 308,976 individuals, 145 cases of mumps were identified; of these, 92 cases (0.27 cases per 1,000 person-years) occurred before, and 53 (0.15 cases per 1,000 person-years) occurred after the initiation of the subsidization program. CONCLUSION: While the mumps vaccination coverage rate increased after the initiation of the subsidization program, it did not reach the level required for eradication.

A health equity science approach to assessing drivers of COVID-19 vaccination coverage disparities over the course of the COVID-19 pandemic, United States, December 2020-December 2022.

INTRODUCTION: Health equity science examines underlying social determinants, or drivers, of health inequities by building an evidence base to guide action across programs, public health surveillance, policy, and communications efforts. A Social Vulnerability Index (SVI) was utilized during the COVID-19 response to identify areas where inequities exist and support communities with vaccination. We set out to assess COVID-19 vaccination coverage by two SVI themes, Racial and Ethnicity Minority Status and Housing Type and Transportation to examine disparities. METHODS: US county-level COVID-19 vaccine administration data among persons aged 5 years and older reported to the Centers for Disease Control and Prevention from December 14, 2020 to December 14, 2022, were analyzed. Counties were categorized 1) into tertiles (low, moderate, high) according to each SVI theme's level of vulnerability or 2) dichotomized by urban or rural classification. Primary series vaccination coverage per age group were assessed for SVI social factors by SVI theme tertiles or urbanicity. RESULTS: Older adults aged 65 years and older had the highest vaccination coverage across all vulnerability factors compared with children aged 5-17 years and adults aged 18-64 years. Overall, children and adults had higher vaccination coverage in counties of high vulnerability. Greater vaccination coverage differences were observed by urbanicity as rural counties had some of the lowest vaccination coverage for children and adults. CONCLUSION: COVID-19 vaccination efforts narrowed gaps in coverage for adults aged 65 years and older but larger vaccination coverage differences remained among younger populations. Moreover, greater disparities in coverage existed in rural counties. Health equity science approaches to analyses should extend beyond identifying differences by basic demographics such as race and ethnicity and include factors that provide context (housing, transportation, age, and geography) to assist with prioritization of vaccination efforts where true disparities in vaccination coverage exist.

Bayesian spatial analysis of incomplete vaccination among children aged 12-23 months in Nigeria.

High childhood disease prevalence and under-five mortality rates have been consistently reported in Nigeria. Vaccination is a cost-effective preventive strategy against childhood diseases. Therefore, this study aimed to identify the determinants of Incomplete Vaccination (IV) among children aged 12-23 months in Nigeria. This cross-sectional design study utilized the 2018 Nigeria Demographic and Health Survey (NDHS) dataset. A two-stage cluster sampling technique was used to select women of reproductive age who have children (n = 5475) aged 12-23 months. The outcome variable was IV of children against childhood diseases. Data were analyzed using Integrated Nested Laplace Approximation and Bayesian binary regression models (α0.05). Visualization of incomplete vaccination was produced using the ArcGIS software. Children's mean age was 15.1 ± 3.2 months and the median number of vaccines received was four. Northern regions contributed largely to the IV. The likelihood of IV was lower among women aged 25-34 years (aOR = 0.67, 95% CI = 0.54-0.82, p < 0.05) and 35-49 years (aOR = 0.59, 95%CI = 0.46-0.77, p < 0.05) compared to younger women in the age group 15-24 years. An increasing level of education reduces the risk of odds of IV. Other predictors of IV were delivery at the health facility (aOR = 0.64, 95% CI = 053-0.76, p < 0.05), and media exposure (aOR = 0.63, 95%CI = 0.54-0.79, p < 0.05). Mothers' characteristics explained most of the variability in the IV, relatively to smaller overall contributions from the community and state-level factors (p < 0.05). The level of IV against childhood diseases was high in Nigeria. However, disparities exist across the regions and other socioeconomic segments of the population. More efforts are required to improve vaccination sensitization programs and campaigns in Nigeria.

Vaccination coverage of hepatitis B and associated factors among health care workers in Gansu province.

The investigation was conducted to describe the status of coverage of HBV vaccination among the health care workers in Gansu province and to explore the associated factors of HBV vaccination in this study. A cross-sectional study was conducted among 1544 health care workers from 64 hospitals in Gansu province. A self-designed questionnaire was used to interview the health care workers about HBV vaccination coverage. A multivariate logistic regression model explored the associated factors with HBV vaccination. The vaccination coverage was 89.17% for health care workers, nurses (90.40%) had the highest rate, followed by administration staff (89.38%) and medical technicians (89.30%). The full-dose HBV vaccination coverage was 64.25% for health care workers, and administration staff (65.04%) had the highest rate, followed by nurses (65.00%). This study found that the associated factors with HBV vaccination and full-dose vaccination were the history of training and the detection of serological indicators. The coverage of HBV vaccination among health care workers in Gansu province was high, but full-dose HBV vaccination coverage was low. It is necessary to strengthen the HBV knowledge and training in HBV prevention and treatment among health care workers in Gansu Province.

Effects of Rotavirus Vaccination Coverage among Infants on Hospital Admission for Gastroenteritis across All Age Groups, Japan, 2011-2019.

We assessed the effect of rotavirus vaccination coverage on the number of inpatients with gastroenteritis of all ages in Japan. We identified patients admitted with all-cause gastroenteritis during 2011-2019 using data from the Diagnosis Procedure Combination system in Japan. We used generalized estimating equations with a Poisson distribution, using hospital codes as a cluster variable to estimate the impact of rotavirus vaccination coverage by prefecture on monthly numbers of inpatients with all-cause gastroenteritis. We analyzed 294,108 hospitalizations across 569 hospitals. Higher rotavirus vaccination coverage was associated with reduced gastroenteritis hospitalizations compared with the reference category of vaccination coverage <40% (e.g., for coverage >80%, adjusted incidence rate ratio was 0.87 [95% CI 0.83-0.90]). Our results show that achieving higher rotavirus vaccination coverage among infants could benefit the entire population by reducing overall hospitalizations for gastroenteritis for all age groups.

Vaccination Coverage of People Living with HIV: Before and after Interventional Action.

This is a quasi-experimental study that assessed PLHIV vaccination coverage before and after health professionals participated in a training course on PLHIV immunization. The vaccination coverage of 645 PLHIV was assessed in the pre-intervention phase. The vaccine with the best coverage was diphtheria and tetanus (82.64%) and the one with the lowest rate of adequately vaccinated was measles, mumps, and rubella (38.27%). Individuals aged between 30 and 39 years had a 74.00% (1-0.26) lower chance of having the full vaccination schedule when compared to those aged between 10 and 19 years, and among those over 40 years, the chance was 87.00% (1-0.13) lower. Those who were vaccinated in Specialized Care Services (SCS) were 5.77 times more likely to be adequately vaccinated when compared to those who were vaccinated in other health services. Regarding the entire vaccination schedule evaluated, the number of adequately vaccinated increased from 47 (7.29%) to 76 (11.78%). Interventions targeting health professionals were effective in increasing vaccination coverage among PLHIV; however, the achieved coverage remained below the desired level. It is necessary to act on health professionals' knowledge and other aspects to effectively increase vaccination coverage.

Influenza Vaccination Coverage in Children: How Has COVID-19 Influenced It? A Review of Five Seasons (2018-2023) in Central Catalonia, Spain.

Influenza vaccination is the main method of preventing influenza. Vaccination is recommended for certain individuals with diseases that could cause complications in the case of flu infection. The objective of this retrospective observational study was to examine influenza vaccination coverage in patients with risk factors, to describe the characteristics of those vaccinated and to study the influence of COVID-19. The study population was children under 14 years old with risk factors between 2018/19 and 2022/23 in Central Catalonia, sourced through the electronic database of the Catalan Institute of Health. The association of influenza vaccination data with sociodemographic data and risk factors was performed by bivariate and multivariate analysis. A total of 13,137 children were studied. Of those, 4623 had received the influenza vaccine in at least one season. The average influenza vaccination rate was 28.8%. The statistically significant factors associated with vaccination were age and having certain risk factors: asthma, diabetes, haemoglobinopathies and clotting disorders. In all seasons, the immigrant population was vaccinated more than the native population p < 0.05, except for the COVID-19 season (2020/21), where no differences were observed. Of those vaccinated, 7.1% had been vaccinated for 5 consecutive years. Influenza vaccination coverage in the paediatric age group was low. Vaccination promotion measures must be implemented. COVID-19 meant an increase in vaccination of the native population to the same level as that of the immigrant population.

National trends in patterns of under-vaccination in early childhood: National Immunization Survey-Child, United States, 2011-2021.

BACKGROUND: The study's objective was to examine national trends in patterns of under-vaccination in the United States. RESEARCH DESIGN AND METHODS: The National Immunization Survey-Child (NIS-Child) is an annual cross-sectional survey that collects provider-verified vaccination records from a large national probability sample of children. Records from the 2011-2021 NIS-Child were used to assess receipt of the combined 7-vaccine series by age 24 months. Based on prior work, patterns indicative of hesitancy included zero vaccines, not starting ≥1 series, and consistent vaccine-limiting. Patterns indicative of practical issues included starting all series but missing doses. Up-to-date (UTD) was defined as receiving all doses in the combined 7-vaccine series. RESULTS: The study population comprised 127,257 children. Over the observation period, patterns indicative of hesitancy significantly decreased (p-trend < 0.0001), patterns indicative of practical issues significantly decreased (p-trend < 0.0001), and UTD significantly increased (p-trend < 0.0001). In 2021, the weighted percentage in each category was as follows: probable hesitancy 6.3% (95% confidence interval [CI] 5.4%, 7.2%), probable practical issues 26.0% (95% CI 24.4%, 27.6%), and UTD 67.7% (95% CI 66.0%, 69.4%). CONCLUSION: Over an 11-year period, vaccination coverage in the United States for the combined 7-vaccine series has improved, with patterns suggestive of practical issues or hesitancy declining.

Social Determinants of Health and their Influence on the Homogeneity of Vaccination Coverage in Paraíba / Determinantes Sociais de Saúde e sua Influência na Homogeneidade da Cobertura Vacinal na Paraíba

The Homogeneity of Vaccination Coverage (HVC) is an important public health indicator for identifying pockets of susceptible individuals. To analyze the spatial distribution of HVC in the municipalities of Paraíba and its relation to social determinants of health. This is a mixed ecological study design, utilizing secondary and publicly available data for the period from 2016 to 2020. Spatial analysis techniques were employed to achieve the study's objective.  HVC was found to be heterogeneous across the state, with the formation of pockets of susceptible individuals. Adequate prenatal care coverage (OR=0.572; 95% CI: 0.409-0.799; p<0.001) was positively associated with adequate HVC. The proportion of individuals with inadequate water and sewage networks (OR=1.345; 95% CI: 1.007-1.796; p=0.045) and the proportion of women as heads of households (OR=1.512; 95% CI: 1.082-2.113; p=0.015) were inversely associated with adequate HVC. Our study highlights the importance of identifying geographic areas with susceptible individuals and the factors that individually and collectively interfere with HVC. This enables targeted and efficient actions, ensuring resolution.

 A Homogeneidade da Cobertura Vacinal (HCV) é um importante indicador de saúde pública para a identificação de bolsões de suscetíveis. Analisar a distribuição espacial da HCV nos municípios paraibanos e relacionar com os determinantes sociais de saúde. Trata-se de um estudo com delineamento ecológico do tipo misto, onde os dados usados são secundários e de domínio público para o período de 2016 a 2020. Para atingir o objetivo do estudo utilizou-se técnicas de análise espacial. A HCV mostrou-se heterogênea em todo o Estado com formação de bolsões de susceptíveis. Cobertura de pré-natal (OR=0,572; IC95%: 0,409-0,799; p<0,001) associou-se positivamente com HCV adequada. Proporção de indivíduos com rede de água e esgoto inadequada (OR=1,345; IC95%: 1,007-1,796; p=0,045) e proporção de mulheres como chefes de família (OR=1,512; IC95%: 1,082-2,113; p=0,015) associam-se inversamente com a HCV adequada. Nosso estudo, destaca a importância da identificação de áreas geográficas com indivíduos susceptíveis e dos fatores que interferem individualmente e em conjunto com a HCV, pois possibilita ações direcionadas e eficientes, assegurando a resolutividade.  

Spatial clusters and social inequities in COVID-19 vaccine coverage among children in Brazil / Aglomerados espaciais e desigualdades sociais na cobertura vacinal contra COVID-19 em crianças no Brasil

Abstract This study examined the spatial distribution and social inequalities in COVID-19 vaccine coverage among children aged 5-11 in Brazil. First and second dose vaccine coverage was calculated for all Brazilian municipalities and analyzed by geographic region and deciles based on human development index (HDI-M) and expected years of schooling at 18 years of age. Multilevel models were used to determine the variance partition coefficient, and bivariate local Moran's I statistic was used to assess spatial association. Results showed significant differences in vaccine coverage rates among Brazilian municipalities, with lower coverage in the North and Midwest regions. Municipalities with lower HDI and expected years of schooling had consistently lower vaccine coverage rates. Bivariate clustering analysis identified extensive concentrations of municipalities in the Northern and Northeastern regions with low vaccine coverage and low human development, while some clusters of municipalities in the Southeast and South regions with low coverage were located in areas with high HDI-M. These findings highlight the persistent municipal-level inequalities in vaccine coverage among children in Brazil and the need for targeted interventions to improve vaccine access and coverage in underserved areas.

Resumo O estudo analisou a distribuição espacial e as desigualdades sociais na cobertura vacinal para COVID-19 entre crianças de 5 a 11 anos no Brasil. As coberturas vacinais foram calculadas para os municípios brasileiros e analisadas por região geográfica e decis com base no Índice de Desenvolvimento Humano (IDH-M) e expectativa de escolaridade aos 18 anos. Modelos multiníveis foram usados ​​para determinar o coeficiente de partição da variância, e a estatística local bivariada de Moran I foi usada para avaliar a associação espacial. Os resultados mostraram diferenças significativas nas taxas de cobertura vacinal entre os municípios, com menor cobertura nas regiões Norte e Centro-Oeste. Municípios com menor IDH e anos de escolaridade esperados apresentaram menores taxas de cobertura vacinal. A análise de agrupamento bivariado identificou extensas concentrações de municípios nas regiões Norte e Nordeste com baixa cobertura vacinal e baixo desenvolvimento humano, enquanto alguns aglomerados de municípios nas regiões Sudeste e Sul com baixa cobertura localizavam-se em áreas com alto IDH-M. Essas descobertas destacam as desigualdades persistentes em nível municipal na cobertura vacinal entre crianças e a necessidade de intervenções para melhorar o acesso e a cobertura vacinal em áreas mais vulneráveis.