Vaccine最新文献

Background: Although measles was declared eliminated from the United States in 2000, the frequency of measles outbreaks has increased in recent years. The ability to predict the locations of future cases could aid efforts to prevent and contain measles in the United States.

Methods: We estimated county-level measles risk using a machine learning model with 17 predictor variables, which was trained on 2014 and 2018 United States county-level measles case data and tested on data from 2019. We compared the predicted and actual locations of 2019 measles cases.

Results: The model accurately predicted 95 % (specificity) of United States counties without measles cases and 72 % (sensitivity) of the United States counties that experienced ≥1 measles case in 2019, accounting for 94 % of all measles cases in 2019. Among the top 30 counties with the highest risk scores, the model accurately predicted 22 (73 %) counties with a measles case in 2019, corresponding to 72 % of all measles cases.

Conclusions: This machine learning model accurately predicted a majority of the United States counties at high risk for measles and could be used as a framework by state and national health agencies in their measles prevention and containment efforts.

Rabbits (Oryctolagus cuniculus) are vitally important species in the Iberian Peninsula ecosystem. However, since 1950, there has been a significant population decline, with major repercussions. This situation is mainly due to the presence of infectious diseases, such as myxomatosis, which is expanding and is characterized by severe and fatal clinical manifestations. Current control measures, mainly those based on vaccinations, are ineffective. Therefore, new strategies need to be developed and implemented. This study aimed to evaluate whether supplementation with postbiotic products modulates the immune response in wild rabbits vaccinated against myxomatosis. For this purpose, two groups of rabbits were established: a control group fed with standard feed ad libitum from weaning (28 days) until two months of age, and a treated group, which was fed under the same conditions but supplemented with postbiotics (3 kg/Tm). All the studied rabbits were vaccinated against this disease during weaning. In addition, a blood samples were obtained from all animals immediately before vaccination and 30 days later, which allowed us to evaluate the level of antibodies against myxomatosis virus (ELISA detection) and the relative expression of gene encoding to cytokines related to the immune response (IL6, TNFα and IFNγ), at both times of the experience. Weight and length measurements were also taken at both times to calculate body index and mean daily gain (MDG). No statistically significant differences in growth parameters were observed. There were also no differences in the serological response among groups. However, a relative underexpression of gene codifying to TNFα (p-value = 0.03683) and a higher expression on IFNγ (p-value = 0.045) were observed in the treated group. This modulation in cytokines could lead to less severe lesions in wild rabbit naturally infected with myxomatosis virus.

Introduction: Undervaccination and vaccination-related anxieties among marginalised communities like the transgender and gender-diverse (TGD) and disability communities are underexplored in the Indian context. Our study seeks to understand the role of structural and historical inequities in shaping COVID-19 vaccine access for the two communities in India.

Methods: Using a participatory qualitative research approach, TGD and disabled individuals were involved in and consulted throughout the research process. We interviewed 45 individuals for our study, hailing from the two communities and other key stakeholders and health system representatives involved in vaccination roll-out in India. We conducted an inductive thematic analysis guided by the socio-ecological model and intersectionality approach.

Results: Despite intent to get vaccinated among most participants, several structural barriers shaped COVID-19 vaccine access for people from the TGD and disability community. This included information and communication gaps with respect to the specific health needs of the two communities, barriers related to vaccine registration, data collection, transport, infrastructure and actual or anticipated mistreatment at vaccine centres. Each emergent structural gap in vaccination had parallels in past health systems experiences, pointing to the longstanding and pervasive inequities within health and allied systems which impact how communities perceive and respond to new health system interventions.

Conclusion: This study uncovers the structural inequities within health systems that have permeated the planning, design and outreach of COVID-19 vaccination programs in India. Moving beyond notions of vaccine hesitancy among the TGD and disability community, we underscore the importance of socio-historical contexts of marginalisation and advocate for systems to recognise these contexts and respond equitably to the vaccination and health needs of the two communities. While some challenges among the two communities were distinct, the study explores how a shared experience of exclusion from public systems can provide avenues for cross-movement advocacy and solidarity, and help inform health system reforms.

Background: Although healthcare personnel (HCP) are targeted for influenza vaccination they typically underutilize vaccines especially in low- and middle-income countries. We explored knowledge, attitudes, and practices of HCP about seasonal influenza vaccines (SIV) to identify factors associated with and modifiable barriers to SIV uptake.

Methods: We pooled individual-level data from cross-sectional surveys about SIV conducted among health workers in 12 low- and middle- income countries during 2018-2020 (i.e., Albania, Armenia, Cote d'Ivoire, Kenya, Kyrgyzstan, Lao PDR, Lebanon, Morocco, North Macedonia, Tunisia, Tajikistan, and Uganda). Eleven countries used a standard protocol and questionnaire based on the Health Belief Model to measure perceptions of susceptibility and severity of influenza disease, benefits of, barriers to, and motivators for vaccination. We analyzed attitudes and perceptions among HCP, including acceptance of vaccine for themselves and willingness to recommend vaccines to patients, grouped by the presence/absence of a national influenza vaccination program. Models were adjusted for geographic region.

Results: Our analysis included 10,281 HCP from 12 countries representing four of the six World Health Organization regions: African, Eastern Mediterranean, European, and Western Pacific. The sample was distributed across low income (LIC) (3,183, 31 %), lower-middle (LMIC) (4,744, 46 %), and upper-middle income (UMIC) (2,354, 23 %) countries. Half (50 %) of the countries included in the analysis reported SIV use among HCP in both the year of and the year preceding data collection while the remainder had no influenza vaccination program for HCP. Seventy-four percent (6,341) of HCP reported that they would be willing to be vaccinated if the vaccine was provided free of charge. HCP in LICs were willing to pay prices for SIV representing a higher percentage of their country's annual health expenditure per capita (6.26 % [interquartile range, IQR: 3.13-12.52]) compared to HCP in LMICs and UMICs. HCP in countries with no SIV program were also willing to pay a higher percentage for SIV (5.01 % [IQR: 2.24-8.34]) compared to HCP in countries with SIV programs.. Most (85 %) HCP in our analysis would recommend vaccines to their patients, and those who would accept vaccines for themselves were 3 times more likely to recommend vaccines to their patients (OR 3.1 [95 % CI 1·8, 5·2]).

Conclusion: Increasing uptake of SIV among HCP can amplify positive impacts of vaccination by increasing the likelihood that HCP recommend vaccines to their patients. Successful strategies to achieve increased uptake of vaccines include clear guidance from health authorities, interventions based on behavior change models, and access to vaccine free-of-charge.

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.

Background: Cameroon, a country in sub-Saharan Africa, ranks among the top 15 countries worldwide with the highest number of zero-dose (unvaccinated) children. Among other reasons, pockets of hard-to-reach communities that traditionally miss essential healthcare services, including childhood immunization, largely contribute to this sub-optimal vaccination coverage. This is the case of Manoka Health District (MHD), an archipelago district with a zero-dose proportion of 91.7%. High disease burdens such as malaria and water-borne diseases have forced the population to depend on herbalists and roadside drug vendors, eroding trust in the primary healthcare system and worsening vaccine hesitancy. This study, therefore, aims to describe how a project optimized vaccine demand generation in these hard-to-reach settlements using an integrated community health worker service delivery package developed using the Community-oriented primary healthcare (COPC) model.

Methodology: This cross-sectional descriptive study was based on data collected from November 2021 to August 2022 in three project-implementing health areas (Kombo Moukoko, Kooh, and Toube) in the Manoka health district. Data was collected on the integrated health packages offered by Community Health Workers (CHWs). It comprised health education on malaria and water-borne diseases, screening for malaria using Rapid Diagnostic Test (RDT), treatment of under-5 for uncomplicated malaria and diarrhea, conduct of essential Antenatal Care (ANC) services, and vaccination counseling and referral in the three health areas. Microsoft Excel 2013 was used to analyze descriptive data and expressed results as percentages, with tables and column charts used for data visualization. All missing data were considered in the final analysis.

Results: Over 550 under-5 children and 187 pregnant women were identified to be in need of curative and preventive care services during the project period. About 81% of pregnant women received a minimum ANC package by CHWs, and 47% adhered to referrals to health facilities for continuous ANC and delivery. Half of the children under 5 with health issues were diagnosed and managed for uncomplicated malaria. Also, during home visits, 617 under-immunized and zero-dose children less than two years of age were identified, referred, and vaccinated either during an outreach program or at the nearest health post in a neighboring health area, representing about 64% (617/964) of under-2 children identified in these communities. There was a gradual increase from 0% vaccine acceptance post-referral in the first month to 47% after six months and 64% at one year of intervention.

Conclusion: The use of the COPC model to co-develop integrated essential health service packages that meet the needs of communities showed value in building trust and increasing childhood immunization uptake in hard-to-reach communitie

Background: Otitis media (OM) is a prevalent respiratory disease in children and poses significant public health challenges due to its impact on child health and economic burdens. However, there have no nationwide epidemiological studies conducted in Japan. This study investigates the epidemiological trends of OM in Japan, taking into account the impact of the 7-valent pneumococcal conjugate vaccine (PCV7) introduction.

Method: This study was retrospective cohort study using secondary data on the nationwide longitudinal birth cohort. This survey followed two cohorts born in 2001 (pre-PCV era) and 2010 (post-PCV era) until the age of 9. Every year, parents were surveyed about their children's health status, including occurrences of OM. The annual period prevalence and cumulative incidence of OM were assessed in this study, and the two cohorts were compared using a modified Poisson regression model adjusted environmental factors with the 2001 cohort as reference.

Result: The study included 47,015 children from the 2001 cohort and 38,554 from the 2010 cohort. Peak annual period prevalence of OM varied by era. Cumulative incidence was 13.8 % for the 2001 cohort and 18.5 % for the 2010 cohort by 1.5 years of age and 28.9 % and 33.3 %, respectively, by 3.5 years of age. In particular, from the fourth survey onward, covering ages 2.5-3.5 years, a shift was observed from an increased risk to a decreased risk of OM.

Conclusion: This nationwide longitudinal study emphasizes variations in OM epidemiology across Japan over time, with changes potentially influenced by the introduction of PCV7. In this study, due to the absence of individual PCV7 vaccination data, the effect of PCV7 was estimated based on the vaccination rate at the population level. The results suggest a notable decrease in the incidence of OM in later years, aligning with the increased uptake of PCV7.

In response to the pervasive challenges posed by online health misinformation, our objective was to develop a training program aimed at enhancing the skills and confidence of healthcare workers in recognizing and effectively responding to misinformation, with a particular focus on vaccinations. This article discusses the design of a training program aimed at equipping healthcare workers with the skills to combat health misinformation, offering theoretical foundations for integrating evidence-based strategies into problem-based learning to help learners retain and apply information, and also shares examples and insights gained from its application across diverse learner groups. The training curriculum integrates evidence-based misinformation intervention strategies, learner engagement strategies and draws from authentic scenarios across diverse cultural contexts. The trainings were administered from January through July 2023 to 287 participants across eight countries (Cameroon, Guyana, India, Kenya, Mozambique, Nigeria, Philippines, and the United States) in English, French, Spanish, and Portuguese. Throughout the implementation of the training, a key emphasis was placed on a learner-driven approach that fostered real-world application. Participants engaged in role-playing exercises and problem-solving sessions, enabling them to practice their newfound skills in a controlled setting. Our findings contribute to the literature of participatory, problem-based learning for healthcare professionals and vaccine communication and misinformation response, and can serve as a resource for practitioners implementing similar trainings.