HPV immunization in Brazil and proposals to increase adherence to vaccination campaigns.

OBJECTIVES: To identify the possible causes of low adherence to vaccination campaigns in Brazil, find and analyze campaigns regarding human papillomavirus (HPV) in Brazil and abroad, and apply quality tools to prepare proposals to increase vaccination coverage (VC) and prevent HPV in the country. METHOD: This is a qualitative and deductive-hypothetical research. A narrative review of the literature (especially on the narratives and formats applied in vaccination campaigns in Brazil) was the technique used to develop our method. RESULTS: Brazil had a 49.6% VC in 2019, unlike countries such as Australia (80.2% in 2017), Mexico (97.5% in 2019), and Peru (91% in 2019). This study found evidence of the use of social marketing strategies to engage communities as good practices in the vaccination campaigns of these countries. CONCLUSION: With the retrieved information, three quality tools (Ishikawa diagram, Pareto graph, and 5W2H) classified and quantified the causes of low VC in Brazil and enabled proposals that can direct its Ministry of Health to take more effective strategies to achieve the HPV VC goal recommended by the WHO.

Declines in Influenza Vaccination Coverage Among Health Care Personnel in Acute Care Hospitals During the COVID-19 Pandemic - United States, 2017-2023.

Health care personnel (HCP) are recommended to receive annual vaccination against influenza to reduce influenza-related morbidity and mortality. Every year, acute care hospitals report receipt of influenza vaccination among HCP to CDC's National Healthcare Safety Network (NHSN). This analysis used NHSN data to describe changes in influenza vaccination coverage among HCP in acute care hospitals before and during the COVID-19 pandemic. Influenza vaccination among HCP increased during the prepandemic period from 88.6% during 2017-18 to 90.7% during 2019-20. During the COVID-19 pandemic, the percentage of HCP vaccinated against influenza decreased to 85.9% in 2020-21 and 81.1% in 2022-23. Additional efforts are needed to implement evidence-based strategies to increase vaccination coverage among HCP and to identify factors associated with recent declines in influenza vaccination coverage.

Influenza and Up-to-Date COVID-19 Vaccination Coverage Among Health Care Personnel - National Healthcare Safety Network, United States, 2022-23 Influenza Season.

The Advisory Committee on Immunization Practices recommends that health care personnel (HCP) receive an annual influenza vaccine and that everyone aged ≥6 months stay up to date with recommended COVID-19 vaccination. Health care facilities report vaccination of HCP against influenza and COVID-19 to CDC's National Healthcare Safety Network (NHSN). During January-June 2023, NHSN defined up-to-date COVID-19 vaccination as receipt of a bivalent COVID-19 mRNA vaccine dose or completion of a primary series within the preceding 2 months. This analysis describes influenza and up-to-date COVID-19 vaccination coverage among HCP working in acute care hospitals and nursing homes during the 2022-23 influenza season (October 1, 2022-March 31, 2023). Influenza vaccination coverage was 81.0% among HCP at acute care hospitals and 47.1% among those working at nursing homes. Up-to-date COVID-19 vaccination coverage was 17.2% among HCP working at acute care hospitals and 22.8% among those working at nursing homes. There is a need to promote evidence-based strategies to improve vaccination coverage among HCP. Tailored strategies might also be useful to reach all HCP with recommended vaccines and protect them and their patients from vaccine-preventable respiratory diseases.

A quantitative evaluation of the impact of vaccine roll-out rate and coverage on reducing deaths: insights from the first 2 years of COVID-19 epidemic in Iran.

BACKGROUND: Vaccination has played a pivotal role in reducing the burden of COVID-19. Despite numerous studies highlighting its benefits in reducing the risk of severe disease and death, we still lack a quantitative understanding of how varying vaccination roll-out rates influence COVID-19 mortality. METHODS: We developed a framework for estimating the number of avertable COVID-19 deaths (ACDs) by vaccination in Iran. To achieve this, we compared Iran's vaccination roll-out rates with those of eight model countries that predominantly used inactivated virus vaccines. We calculated net differences in the number of fully vaccinated individuals under counterfactual scenarios where Iran's per-capita roll-out rate was replaced with that of the model countries. This, in turn, enabled us to determine age specific ACDs for the Iranian population under counterfactual scenarios where number of COVID-19 deaths are estimated using all-cause mortality data. These estimates covered the period from the start of 2020 to 20 April 2022. RESULTS: We found that while Iran would have had an approximately similar number of fully vaccinated individuals under counterfactual roll-out rates based on Bangladesh, Nepal, Sri Lanka, and Turkey (~ 65-70%), adopting Turkey's roll-out rates could have averted 50,000 (95% confidence interval: 38,100-53,500) additional deaths, while following Bangladesh's rates may have resulted in 52,800 (17,400-189,500) more fatalities in Iran. Surprisingly, mimicking Argentina's slower roll-out led to only 12,600 (10,400-13,300) fewer deaths, despite a higher counterfactual percentage of fully vaccinated individuals (~ 79%). Emulating Montenegro or Bolivia, with faster per capita roll-out rates and approximately 50% counterfactual full vaccination, could have prevented more deaths in older age groups, especially during the early waves. Finally, replicating Bahrain's model as an upper-bound benchmark, Iran could have averted 75,300 (56,000-83,000) deaths, primarily in the > 50 age groups. CONCLUSIONS: Our analysis revealed that faster roll-outs were consistently associated with higher numbers of averted deaths, even in scenarios with lower overall coverage. This study offers valuable insights into future decision-making regarding infectious disease epidemic management through vaccination strategies. It accomplishes this by comparing various countries' relative performance in terms of timing, pace, and vaccination coverage, ultimately contributing to the prevention of COVID-19-related deaths.

Vaccination Coverage by Age 24 Months Among Children Born in 2019 and 2020 - National Immunization Survey-Child, United States, 2020-2022.

National Immunization Survey-Child data collected in 2022 were combined with data from previous years to assemble birth cohorts and assess coverage with routine vaccines by age 24 months by birth cohort. Overall, vaccination coverage was similar among children born during 2019-2020 compared with children born during 2017-2018, except that coverage with both the birth dose of hepatitis B vaccine and ≥1 dose of hepatitis A vaccine increased. Coverage was generally higher among non-Hispanic White (White) children (2-21 percentage points higher than coverage for non-Hispanic Black or African American, Hispanic or Latino, and non-Hispanic American Indian/Alaska Native [AI/AN] children), children living at or above poverty (3.5-22 percentage points higher than coverage for children living below the federal poverty level), privately insured children (2.4-38 percentage points higher than coverage for children with Medicaid, other insurance, or no insurance), and children in urban areas (3-16.5 percentage points higher than coverage for children living in rural areas). Coverage with the full series of Haemophilus influenzae type b conjugate vaccine was lower among AI/AN children compared with White children. Trends in vaccination coverage disparities across categories of race and ethnicity, health insurance status, poverty status, and urbanicity were evaluated for the 2016-2020 birth cohorts. Fewer than 5% of 168 trends examined were statistically significant, including six increases (widening of the coverage gap) and one decrease (narrowing of the gap). Analyses revealed a widening of the gap between children living at or above the poverty level (higher coverage) and those living below poverty (lower coverage), for several vaccines. Socioeconomic, demographic, and geographic disparities in vaccination coverage persist; addressing them is important to ensure protection for all children against vaccine-preventable disease.

Impact of vaccination against severe COVID-19 in the French population aged 50 years and above: a retrospective population-based study.

BACKGROUND: Given the widespread implementation of COVID-19 vaccination to mitigate the pandemic from the end of 2020, it is important to retrospectively evaluate its impact, in particular by quantifying the number of severe outcomes prevented through vaccination. METHODS: We estimated the number of hospitalizations, intensive care unit (ICU) admissions and deaths directly averted by vaccination in France, in people aged ≥ 50 years, from December 2020 to March 2022, based on (1) the number of observed events, (2) vaccination coverage, and (3) vaccine effectiveness. We accounted for the effect of primary vaccination and the first booster dose, the circulating variants, the age groups, and the waning of vaccine-induced protection over time. RESULTS: An estimated 480,150 (95% CI: 260,072-582,516) hospitalizations, 132,156 (50,409-157,767) ICU admissions and 125,376 (53,792-152,037) deaths were directly averted by vaccination in people aged ≥ 50 years, which corresponds to a reduction of 63.2% (48.2-67.6), 68.7% (45.6-72.4) and 62.7% (41.9-67.1) respectively, compared to what would have been expected without vaccination over the study period. An estimated 5852 (2285-6853) deaths were directly averted among the 50-59 years old, 16,837 (6568-19,473) among the 60-69 years old, 32,136 (13,651-36,758) among the 70-79 years old and 70,551 (31,288-88,953) among the ≥ 80 years old. CONCLUSIONS: The vaccination campaign in France considerably reduced COVID-19 morbidity and mortality, as well as stress on the healthcare system.

Development of a composite scoring system to rank communities at high risk of zero-dose children in Cameroon: A geospatial analysis.

Background: Despite growing efforts to improve access to vaccination, millions of children, especially in developing countries, have not received a single dose of diphtheria, tetanus, and pertussis (DTP) vaccine. Consequently, they are often called zero-dose children (ZDC). With limited health resources, prioritising communities for rapid and mass zero-dose catch-up vaccination in missed communities to avert epidemic outbreaks is complicated by unreliable denominators used to compute vaccination coverages. Incorporating other indicators of access and utilisation of vaccination services can help with identifying and ranking missed communities based on the likelihood of finding ZDC. We described the process of generating a scoring method to rank health areas in Cameroon based on their likelihood of containing ZDC. Methods: We used geospatial analysis to compute and aggregate health area characteristics, including hard-to-reach (HTR) areas (defined as areas of settlement above a one- (for urban areas) or 15-kilometre radius (for rural areas) beyond a vaccinating health facility), amount of area covered by slums and new area settlement, and percentage of children unvaccinated for DTP-1. We attributed a weight based on the ability to limit accessibility or utilisation of vaccination services to each characteristic and computed the score as a weighted average of health area characteristics. The health area score ranged from 0 to 1, with higher scores representing a higher likelihood of containing ZDC. We stratified the analysis by rural and urban health areas. Results: We observed substantial district and regional variations in health area scores, with hotspots health areas (administrative level 4) observed in the Far North (0.83), North (0.81), Adamawa (0.80), East (0.75), and South West (0.67) regions. The Adamawa region had the highest percentage of health areas with the highest score (78%), followed by the East (50%), West (48%), and North (46%) regions. For most regions (Far North, South, South West, Littoral, West, and North West), DTP-1 contributed the most to the score. However, HTR settlement areas within a health area contributed substantially to the overall score in the East, North, and Adamawa regions. Conclusions: We found substantial variations in health area scores with hotspots in the Far North, North, Adamawa, East, and South West regions. Although DTP-1 could be used as an indicator to identify health areas with ZDC for most communities, HTR settlement area was a valuable indicator in ranking priority health areas in the East, North, and Adamawa regions, further emphasising the need to consider other indicators before prioritisation.

Age nine is possible: Improving age 9 HPV initiation through a national quality improvement initiative during the COVID-19 pandemic.

The American Cancer Society collaborated with a range of healthcare partners in 2020-2022 to implement quality improvement clinical interventions with the goal of improving HPV vaccination rates among adolescents' ages 9-13. 2020 was the first cohort for which partners had been asked to submit HPV rate data for patients' ages 9-12. At least 80% of the partners across all reported project years were able and willing to report HPV rates for these ages. Partners submitted HPV initiation rates at the beginning and end of the 12-month project year along with project activities, including evidence-based interventions (EBIs) implemented. Mean initiation rates for ages 9-10 significantly increased 4.1% during 2020 compared to non-significant rate increases of 2.6% and 2.0% for ages 11-12 and age 13, respectively. In 2021, ages 9-10 initiation saw a non-significant increase of 2.2%, whereas ages 11-12 and age 13 decreased non-significantly by 0.3% and 0.1%, respectively. The 2022 cohort saw significant initiation rate increases of at least 4% across all ages, potentially a promising result of the myriad back on track HPV vaccination campaigns designed to reverse the damage of the COVID-19 pandemic on adolescent immunizations. These findings demonstrate an effective adaptation of quality improvement in increasing HPV vaccination coverage among younger ages even during a national pandemic.

COVID-19 Incidence Proportion as a Function of Regional Testing Strategy, Vaccination Coverage, and Vaccine Type.

Introduction: The COVID-19 pandemic has become a serious challenge for humanity almost everywhere globally. Despite active vaccination around the world, the incidence proportion in different countries varies significantly as of May 2022. The reason may be a combination of demographic, immunological, and epidemiological factors. The purpose of this study was to analyze possible relationships between COVID-19 incidence proportion in the population and the types of SARS-CoV-2 vaccines used in different countries globally, taking into account demographic and epidemiological factors. Materials and methods: An initial database was created of demographic and immunoepidemiological information about the COVID-19 situation in 104 countries collected from published official sources and repository data. The baseline included, for each country, population size and density; SARS-CoV-2 testing coverage; vaccination coverage; incidence proportion; and a list of vaccines that were used, including their relative share among all vaccinations. Subsequently, the initial data set was stratified by population and vaccination coverage. The final data set was subjected to statistical processing both in general and taking into account population testing coverage. Results: After formation of the final data set (including 53 countries), it turned out that reported COVID-19 case numbers correlated most strongly with testing coverage and the proportions of vaccine types used, specifically, mRNA (V1); vector (V2); peptide/protein (V3); and whole-virion/inactivated (V4). Due to the fact that an inverse correlation was found between 'reported COVID-19 case numbers' with V2, V3, and V4, these three vaccine types were also combined into one analytic group, 'non-mRNA group' vaccines (Vnmg). When the relationship between vaccine type and incidence proportion was examined, minimum incidence proportion was noted at V1:Vnmg ratios (%:%) from 0:100 to 30:70. Maximum incidence proportion was seen with V1:Vnmg from 80:20 to 100:0. On the other hand, we have shown that the number of reported COVID-19 cases in different countries largely depends on testing coverage. To offset this factor, countries with low and extremely high levels of testing were excluded from the data set; it was then confirmed that the largest number of reported COVID-19 cases occurred in countries with a dominance of V1 vaccines. The fewest reported cases were seen in countries with a dominance of Vnmg vaccines. Conclusion: In this paper, we have shown for the first time that the level of reported COVID-19 incidence proportion depends not only on SARS-CoV-2 testing and vaccination coverage, which is quite logical, but probably also on the vaccine types used. With the same vaccination level and testing coverage, those countries that predominantly use vector and whole-virion vaccines feature incidence proportion that is significantly lower than countries that predominantly use mRNA vaccines.

Determinants of parental vaccine hesitancy in Canada: results from the 2017 Childhood National Immunization Coverage Survey.

BACKGROUND: In 2019, the World Health Organization (WHO) designated vaccine hesitancy as one of the ten leading threats to global health. Vaccine hesitancy exists when vaccination services are available and accessible, but vaccine uptake is lower than anticipated. It is often attributed to lack of trust in vaccine safety and effectiveness, or low level of concern about the risk of many vaccine-preventable diseases. This study aimed to examine the sociodemographic factors associated with parental vaccine hesitancy and vaccine refusal in Canada using data from the 2017 Childhood National Immunization Coverage Survey (CNICS). METHOD: The 2017 CNICS was a cross-sectional and nationally representative survey to estimate national vaccine uptake and to collect information about parents' Knowledge, Attitudes and Beliefs (KAB) regarding vaccination. Using the KAB questions, parental vaccine hesitancy (i.e., parental hesitation, delay or refusal of at least one recommended vaccination) and refusal (i.e., unvaccinated children) by sociodemographic factors was estimated using weighted prevalence proportions. A multinomial logistic regression model was fitted to examine associations between parental vaccine hesitancy or refusal and sociodemographic factors among parents of two-year-old children in Canada. Adjusted odds ratios (aOR) of being vaccine-hesitant or vaccine-refusing versus being non-vaccine-hesitant were generated. RESULTS: Both unadjusted and adjusted logistic regressions models showed that parents with lower household income (aOR 1.7, 95% CI 1.2-2.5), and those with a higher number of children in the household (aOR 2.2, 95% CI 1.4-3.5) had higher vaccine hesitancy. Conversely, lower vaccine hesitancy was observed among non-immigrant parents (aOR 0.4, 95% CI 0.3-0.6). In addition, lower household income (aOR 4.0, 95% CI 1.3-12.9), and higher number of children in the household (aOR 6.9, 95% CI 2.1-22.9) were significantly associated with parental vaccine refusal. Regional variations were also observed. CONCLUSION: Several sociodemographic determinants are associated with parental vaccine hesitancy and refusal. The findings of the study could help public health officials and policymakers to develop and implement targeted interventions to improve childhood vaccination programs.

Association between women's experience of domestic violence and childhood vaccination in West Africa: Cross-sectional analysis of Demographic and Health Survey data.

BACKGROUND: In 2021, 25 million children worldwide did not receive full basic childhood vaccinations, the highest figure in over a decade. There are large variations between countries in vaccination coverage. Globally, the lifetime prevalence of domestic violence among ever-partnered women is 30%. Exposure to domestic violence affects both maternal and child health. However, there is limited contemporary evidence on whether children born to women who are exposed to domestic violence are any more or less likely to be vaccinated. METHODS: We conducted a cross-sectional study using data from the most recent Demographic and Health Surveys (DHS) from 7 West African countries (Benin, Gambia, Liberia, Mali, Nigeria, Senegal, Sierra Leone). We used multivariable logistic regression to examine the association between women's lifetime experience of any emotional, physical and/or sexual domestic violence and whether her most-recent born child aged 12-35 months old had received a full complement of basic childhood vaccinations (covering tuberculosis, diphtheria, tetanus, pertussis, polio and measles). RESULTS: Data from 9,104 mother-child pairs was analysed (range 480 from Senegal to 3,230 from Nigeria). Overall, 47% of children were fully vaccinated (range 31% in Nigeria to 81% in The Gambia). 41% of women reported any experience of domestic violence (range 20% in Senegal to 54% in Sierra Leone). After adjustment for a range of child, maternal, household and partner-level variables, children born to women who reported experience of domestic violence were no more or less likely to be fully vaccinated (adjusted odds ratio = 1.02, 95% confidence interval 0.90-1.17). There was some evidence that the association may vary by country; in Sierra Leone, children born to women who reported experience of domestic violence were significantly less likely to be fully vaccinated (adjusted odds ratio = 0.62, 95%CI 0.44-0.88). CONCLUSIONS: There was no significant association between a woman's exposure to domestic violence and whether her child was fully vaccinated. Further work is needed to understand the contextual factors which may explain potential variations between countries.

Comparing vaccination coverage before and during COVID-19 pandemic in children under one year in the health district of commune V in Bamako, Mali.

INTRODUCTION: Although an essential frontline service in the prevention of child morbidity and mortality, there are indications that routine vaccinations have been disrupted during the COVID-19 pandemic. The present study aimed to compare vaccination coverage before COVID-19 in Mali in 2019 and during COVID-19 in 2020. OBJECTIVE: To compare vaccination coverages before COVID-19 in Mali in 2019 and during COVID-19 in 2020. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: We collected routine immunization data from 2019 to 2020 of children under one year in the health district of Commune V in Bamako which includes twelve community health centers (CSCom). RESULTS: Considering all vaccines together, coverage in 2019 was higher than in 2020 (88.7% vs. 71,6%) (p < 10- 3, Fig. 1). In 2020, low proportions of children vaccinated were observed in May (51.1%) two months after the first COVID-19 case in Mali on March 25, 2020. For all vaccines, the mean number of children vaccinated was significantly higher in 2019 (before COVID-19) as compared to 2020 (during COVID-19) (p < 0.05). However, in September and October 2019 BCG vaccine coverage was lower in 2019 as compared to 2020 (p < 10- 3). CONCLUSION: COVID-19 pandemic has affected routine childhood vaccine coverage in Commune V of Bamako, particularly in May 2020. Therefore, new strategies are needed to improve vaccine coverage in young children below 1.

Modelling the potential public health impact of different vaccination strategies with an omicron-adapted bivalent vaccine in Thailand.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing COVID-19 has continuously evolved, requiring the development of adapted vaccines. This study estimated the impact of the introduction and increased coverage of an Omicron-adapted bivalent booster vaccine in Thailand. RESEARCH DESIGN AND METHODS: The outcomes of booster vaccination with an Omicron-adapted bivalent vaccine versus no booster vaccination were estimated using a combined cohort Markov decision tree model. The population was stratified into high- and standard-risk subpopulations. Using age-specific inputs informed by published sources, the model estimated health (case numbers, hospitalizations, and deaths) and economic (medical costs and productivity losses) outcomes in different age and risk subpopulations. RESULTS: Booster vaccination in only the elderly and high-risk subpopulation was estimated to avert 97,596 cases 36,578 hospitalizations, 903 deaths, THB 3,119 million in direct medical costs, and THB 10,589 million in indirect medical costs. These benefits increased as vaccination was expanded to other subpopulations. Increasing the booster vaccination coverage to 75% of the standard-risk population averted more deaths (95%), hospitalizations (512%), infections (782%), direct costs (550%), and indirect costs (687%) compared to the base case. CONCLUSIONS: Broader vaccination with an Omicron-adapted bivalent booster vaccine could have significant public health and economic benefits in Thailand.

Uptake of pertussis immunization in pregnancy and determinants of vaccination in Toronto, Canada.

INTRODUCTION: Pertussis causes significant morbidity and mortality in infants aged <6 months. Maternal pertussis vaccination during pregnancy has been recommended in Canada since 2018 to reduce these negative outcomes. In the absence of routine immunization coverage data, our objective was to evaluate uptake in Toronto, Canada. METHODS: We recruited mother-infant pairs at The Hospital for Sick Children, Toronto, between 2018 and 2020. We performed logistic regression to examine associations between demographics and self-reported pertussis vaccination. RESULTS: 76/243 mothers (31.3 %) reported receiving pertussis vaccination during their most recent pregnancy. Odds of receiving vaccination more than doubled with each 1-year increase in year of pregnancy (aOR: 2.2; 95 % CI: 1.3, 3.6; p < 0.01) and among those born in Canada as compared to those not (aOR: 2.0; 95 % CI: 1.1, 3.6; p = 0.02) CONCLUSION: Uptake of pertussis vaccination during pregnancy in Ontario has increased in recent years, however coverage remains lower than desirable.

Analysis of the impact of COVID-19 pandemic and response on routine childhood vaccination coverage and equity in Northern Nigeria: a mixed methods study.

BACKGROUND: Based on 2021 data, Nigeria had the second largest number of zero-dose children globally estimated at over 2.25 million, concentrated in the northern part of the country due to factors some of which are sociocultural. This study analysed the impact of the COVID-19 pandemic and response on childhood vaccination in Northern Nigeria. METHODS: Using a mixed methods sequential study design in the most populous northern states of Kaduna and Kano, quantitative routine immunisation data for the period 2018-2021 and qualitative data collected through 16 focus group discussions and 40 key informant interviews were used. An adaptation of the socioecological model was used as a conceptual framework. Mean vaccination coverages and test of statistical difference in childhood vaccination data were computed. Qualitative data were coded and analysed thematically. RESULTS: Mean Penta 1 coverage declined in Kaduna from 69.88% (SD=21.02) in 2018 to 59.54% (SD=19.14%) by 2021, contrasting with Kano where mean Penta 1 coverage increased from 51.87% (SD=12.61) to 56.32% (SD=17.62%) over the same period. Outreaches and vaccination in urban areas declined for Kaduna state by 10% over the pandemic period in contrast to Kano state where it showed a marginal increase. The two states combined had an estimated 25% of the country's zero-dose burden in 2021. Lockdowns, lack of transport and no outreaches which varied across the states were some of the factors mentioned by participants to have negatively impacted childhood vaccination. Special vaccination outreaches were among the recommendations for ensuring continued vaccination through a future pandemic. CONCLUSION: While further interrogating the accuracy of denominator estimates for the urban population, incorporating findings into pandemic preparedness and response will ensure uninterrupted childhood vaccination during emergencies. Addressing the identified issues will be critical to achieving and sustaining universal childhood vaccination in Nigeria.

[Dose-response relationship between age and Streptococcus pneumoniae vaccination coverage in kindergarten children]. / 幼儿园儿童年龄与肺炎链球菌疫苗覆盖率间的剂量-ååº”å ³ç³».

OBJECTIVES: To investigate the potential relationship between age and Streptococcus pneumoniae vaccination coverage in kindergarten children, and to provide a basis for guiding vaccination and developing new protein vaccines. METHODS: The stratified cluster random sampling method was used to select 1 830 healthy children from six kindergartens in Shunde District, Foshan City, China, and nasopharyngeal swabs were collected for the isolation and identification of Streptococcus pneumoniae. The logistic regression model based on restricted cubic spline was used to analyze the dose-response relationship between age and Streptococcus pneumoniae vaccination coverage. RESULTS: The rate of nasal Streptococcus pneumoniae carriage was 22.46% (411/1 830) among the kindergarten children, with the predominant serotypes of 6B, 19F, 15A, 23A, 34, and 23F. The coverage rates of 10-valent pneumococcal conjugate vaccine (PCV10) and 13-valent pneumococcal conjugate vaccine (PCV13) were 53.0% and 57.9%, respectively, and there was a significant non-linear dose-response relationship between age and the coverage rates of PCV10 and PCV13 (P<0.05), with a higher coverage rate of PCV10 (88.0%) and PCV13 (91.1%) in the children aged 2 years. There was a significant non-linear dose-response relationship between age and the coverage rates of pilus islet 1 (PI-1) and pilus islet 2 (PI-2) (P<0.05), with a lower vaccination coverage rate for PI-1 (37.7%) and PI-2 (16.1%). The coverage rates of PI-1 (13.0%-58.5%) and PI-2 (6.0%-29.4%) were lower in all age groups. The virulence genes lytA (99.5%) and ply (99.0%) associated with candidate protein vaccines showed higher vaccination coverage rates. CONCLUSIONS: There is a significant non-linear dose-response relationship between the age of kindergarten children and the coverage rates of PCV10 and PCV13 serotypes, and kindergarten children aged 2 years have a relatively high coverage rate of PCV. The high prevalence of the virulence genes lytA and ply shows that they are expected to become candidate virulence factors for the development of a new generation of recombinant protein vaccines.

Vaccination coverage of triple viral and poliomyelitis in Brazil, 2011-2021: temporal trend and spatial dependency.

OBJECTIVE: To analyze the coverage of MMR and polio vaccines, the temporal trend and spatial dependence, in children up to one year of age in Brazil, between 2011 and 2021. METHODS: Ecological study with secondary data on vaccination coverage rates, made available by the National Immunization Program Information System. Trend analysis was carried out using the joinpoint method, according to geographic regions, estimating the annual percentage change (APC) and its respective confidence interval (95%CI). Choropleth maps of distribution by health region were constructed and, subsequently, the spatial dependence was verified using Moran's statistics. RESULTS: Between 2011 and 2021, vaccination coverage declined in Brazil, both for MMR (APC: -6.4%; 95%CI -9.0; -3.8) and for poliomyelitis (APC: -4. 5%; 95%CI -5.5; -3.6). There was a decline in coverage of both vaccines in all geographic regions over the years of the study, except in the South and Midwest for the MMR vaccine. Since 2015, few health regions in the country have achieved adequate vaccination coverage (≥95.0% to <120.0%). The North and Northeast health regions showed low-low clusters in the univariate analysis for both immunobiological. CONCLUSIONS: It is urgent to consider studies like this one for the planning of more effective strategies for immunizing children, especially in areas with higher falls. In this way, barriers to access to immunization can be broken, given Brazil's heterogeneity, and access to reliable information that increases confidence in vaccine efficacy can be expanded.

Machine learning algorithms' application to predict childhood vaccination among children aged 12-23 months in Ethiopia: Evidence 2016 Ethiopian Demographic and Health Survey dataset.

INTRODUCTION: Childhood vaccination is a cost-effective public health intervention to reduce child mortality and morbidity. But, vaccination coverage remains low, and previous similar studies have not focused on machine learning algorithms to predict childhood vaccination. Therefore, knowledge extraction, association rule formulation, and discovering insights from hidden patterns in vaccination data are limited. Therefore, this study aimed to predict childhood vaccination among children aged 12-23 months using the best machine learning algorithm. METHODS: A cross-sectional study design with a two-stage sampling technique was used. A total of 1617 samples of living children aged 12-23 months were used from the 2016 Ethiopian Demographic and Health Survey dataset. The data was pre-processed, and 70% and 30% of the observations were used for training, and evaluating the model, respectively. Eight machine learning algorithms were included for consideration of model building and comparison. All the included algorithms were evaluated using confusion matrix elements. The synthetic minority oversampling technique was used for imbalanced data management. Informational gain value was used to select important attributes to predict childhood vaccination. The If/ then logical association was used to generate rules based on relationships among attributes, and Weka version 3.8.6 software was used to perform all the prediction analyses. RESULTS: PART was the first best machine learning algorithm to predict childhood vaccination with 95.53% accuracy. J48, multilayer perceptron, and random forest models were the consecutively best machine learning algorithms to predict childhood vaccination with 89.24%, 87.20%, and 82.37% accuracy, respectively. ANC visits, institutional delivery, health facility visits, higher education, and being rich were the top five attributes to predict childhood vaccination. A total of seven rules were generated that could jointly determine the magnitude of childhood vaccination. Of these, if wealth status = 3 (Rich), adequate ANC visits = 1 (yes), and residency = 2 (Urban), then the probability of childhood vaccination would be 86.73%. CONCLUSIONS: The PART, J48, multilayer perceptron, and random forest algorithms were important algorithms for predicting childhood vaccination. The findings would provide insight into childhood vaccination and serve as a framework for further studies. Strengthening mothers' ANC visits, institutional delivery, improving maternal education, and creating income opportunities for mothers could be important interventions to enhance childhood vaccination.

[Analysis on the vaccination coverage of 13-valent pneumococcal conjugate vaccine in China from 2017 to 2021].

Objective: To explore the vaccination coverage of the 13-valent pneumococcal conjugate vaccine (PCV13) in China from 2017 to 2021. Methods: Using the reported number of PCV13 administrated doses from 2017 to 2021 and the population data from 31 provinces in China, which were collected by the Immunization Program Information System and summarized data at different levels (prefecture, provincial, and national). Collecting batch release data of PCV13 during the same period through the official website of the National Institutes for Food and Drug Control. The average coverage level of PCV13 was calculated by comparing the number of PCV13 vaccinations reported annually to the number of births in that year, and the spatial auto-correlation analysis was conducted in 2021 at the prefecture level. The coverage of PCV13 vaccination was estimated by the total vaccine doses administered each year divided by the number of newborn in the year, as of the administrated dose number per 100 people. Results: From March 2017 to December 2020, the total batch release of PCV13 was 20.06 million, with a total of 71.54, 384.75, 475.45, and 10.8886 million doses each year. During the same period, PCV13 reported doses were 20.2369 million and the vaccination doses from 2017 to 2021 were 4.08, 170.46, 407.52, 599.77, and 8.4185 million doses, respectively. From 2017 to 2021, the ratio of PCV13 doses administrated per 100 infants in each year was 0.25, 10.26, 23.81, 38.16, and 69.90 doses per 100 people, respectively. The range of the ratio in each province increased from 3.85 doses in 2017 to 264.41 doses per 100 people in 2021. The spatial auto-correlation analysis results showed that based on prefecture-level cities, there was spatial clustering in a certain area of PCV13 coverage from 2017 to 2021, and the spatial correlation in 2021 was the highest. The hotspot analysis showed that the hotspot areas with high coverage levels of PCV13 were concentrated in Jiangsu, Zhejiang, Shanghai, Fujian and their surrounding areas. The cold spots with low vaccine coverage were concentrated in Yunnan, Qinghai, Tibet, and their surrounding areas. Conclusion: The average coverage level of PCV13 is low in China with significant regional differences.