scholarly journals Using the Immunization Information System to Determine Vaccination Coverage Rates among Children Aged 1–7 Years: A Report from Zhejiang Province, China

2014 ◽  
Vol 11 (3) ◽  
pp. 2713-2728 ◽  
Author(s):  
Qian Li ◽  
Yu Hu ◽  
Yanpeng Zhong ◽  
Yaping Chen ◽  
Xuewen Tang ◽  
...  
2019 ◽  
Vol 11 (3) ◽  
pp. 71-76
Author(s):  
T. A. Kozhakhmetova ◽  
K. V. Kuleshov ◽  
D. H. Kjasova ◽  
T. A. Konovalova ◽  
N. V. Parkina ◽  
...  

Background: Assessment of the informativeness of using various parameters characterizing the epidemic process during rotavirus infection to analyze the effects of the RotaTeq (MSD, USA) pentavalent rotavirus vaccine’s using at low (<20%) level of vaccination coverage of the target cohort. Materials and methods: Were analyzed the correlation links between the vaccination coverage rates and the number of reported cases of rotavirus infection, incidence rates, the number of rotavirus-positive laboratory tests and their shares among the examined children for the territories of Moscow and the Moscow Region in 2014-2018, using the database of the laboratory information system and data of the Federal statistical monitoring, Results: The presence of a strong reliable inverse correlation between the coverage of vaccination and the only of the analyzed indicators – the share of positive results of laboratory studies in the age group of children 6-24 months was revealed. There was a one and a half to two-fold decrease in the share of positive laboratory tests for rotavirus infection in the years of reaching 18–20% vaccination coverage. Conclusion: The obtained data indicate the high informative value of laboratory information system data and the perspective of their use for a comprehensive assessment of the activity of the epidemic process.


Author(s):  
Yu Hu ◽  
Hui Liang ◽  
Ying Wang ◽  
Yaping Chen

Objective: The objectives of this study were to determine the degree and risk factors of the inequity in the childhood coverage of full primary immunization (FPI) in Zhejiang province. Method: We used data from two rounds of vaccination coverage surveys among children aged 24–35 months conducted in 2014 and 2017, respectively. The household income per month was used as an index of socioeconomic status for the inequality analysis. The concentration index (CI) was used to quantify the degree of inequality, and the decomposition approach was applied to quantify the contributions from demographic factors to inequality in the coverage of FPI. Results: The coverage rates of FPI were 80.6%, with a CI value of 0.12028 for the 2014 survey, while the coverage rates of FPI were 85.2%, with a CI value of 0.10129 for the 2017 survey. The results of decomposition analysis suggested that 68.2% and 67.1% of the socioeconomic inequality in the coverage of FPI could be explained by the mother’s education level for the 2014 and 2017 survey, respectively. Other risk factors including birth order, ethnic group, mother’s age, maternal employment status, residence, immigration status, GDP per-capita, and the percentage of the total health spending allocated to public health could also explain this inequality. Conclusion: The socioeconomic inequity in the coverage of FPI still remained, although this gap was reduced between 2014 and 2017. Policy recommendations for health interventions on reducing the inequality in the coverage of FPI should be focused on eliminating poverty and women’s illiteracy.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S175-S175
Author(s):  
Shannon Hunter ◽  
Diana Garbinsky ◽  
Elizabeth M La ◽  
Sara Poston ◽  
Cosmina Hogea

Abstract Background Previous studies on adult vaccination coverage found inter-state variability that persists after adjusting for individual demographic factors. Assessing the impact of state-level factors may help improve uptake strategies. This study aimed to: • Update previous estimates of state-level, model-adjusted coverage rates for influenza; pneumococcal; tetanus, diphtheria, and acellular pertussis (Tdap); and herpes zoster (HZ) vaccines (individually and in compliance with all age-appropriate recommended vaccinations) • Evaluate effects of individual and state-level factors on adult vaccination coverage using a multilevel modeling framework. Methods Behavioral Risk Factor Surveillance System (BRFSS) survey data (2015–2017) were retrospectively analyzed. Multivariable logistic regression models estimated state vaccination coverage and compliance using predicted marginal proportions. BRFSS data were then combined with external state-level data to estimate multilevel models evaluating effects of state-level factors on coverage. Weighted odds ratios and measures of cluster variation were estimated. Results Adult vaccination coverage and compliance varied by state, even after adjusting for individual characteristics, with coverage ranging as follows: • Influenza (2017): 35.1–48.1% • Pneumococcal (2017): 68.2–80.8% • Tdap (2016): 21.9–46.5% • HZ (2017): 30.5–50.9% Few state-level variables were retained in final multilevel models, and measures of cluster variation suggested substantial residual variation unexplained by individual and state-level variables. Key state-level variables positively associated with vaccination included health insurance coverage rates (influenza/HZ), pharmacists’ vaccination authority (HZ), presence of childhood vaccination exemptions (pneumococcal/Tdap), and adult immunization information system participation (Tdap/HZ). Conclusion Adult vaccination coverage and compliance continue to show substantial variation by state even after adjusting for individual and state-level characteristics associated with vaccination. Further research is needed to assess additional state or local factors impacting vaccination disparities. Funding GlaxoSmithKline Biologicals SA (study identifier: HO-18-19794) Disclosures Shannon Hunter, MS, GSK (Other Financial or Material Support, Ms. Hunter is an employee of RTI Health Solutions, who received consultancy fees from GSK for conduct of the study. Ms. Hunter received no direct compensation from the Sponsor.) Diana Garbinsky, MS, GSK (Other Financial or Material Support, The study was conducted by RTI Health Solutions, which received consultancy fees from GSK. I am a salaried employee at RTI Health Solutions and received no direct compensation from GSK for the conduct of this study..) Elizabeth M. La, PhD, RTI Health Solutions (Employee) Sara Poston, PharmD, The GlaxoSmithKline group of companies (Employee, Shareholder) Cosmina Hogea, PhD, GlaxoSmithKline (Employee, Shareholder)


2009 ◽  
Vol 124 (5) ◽  
pp. 642-651 ◽  
Author(s):  
Nidhi Jain ◽  
James A. Singleton ◽  
Margrethe Montgomery ◽  
Benjamin Skalland

Since 1994, the Centers for Disease Control and Prevention has funded the National Immunization Survey (NIS), a large telephone survey used to estimate vaccination coverage of U.S. children aged 19–35 months. The NIS is a two-phase survey that obtains vaccination receipt information from a random-digit-dialed survey, designed to identify households with eligible children, followed by a provider record check, which obtains provider-reported vaccination histories for eligible children. In 2006, the survey was expanded for the first time to include a national sample of adolescents aged 13–17 years, called the NIS-Teen. This article summarizes the methodology used in the NIS-Teen. In 2008, the NIS-Teen was expanded to collect state-specific and national-level data to determine vaccination coverage estimates. This survey provides valuable information to guide immunization programs for adolescents.


2008 ◽  
Vol 103 (11) ◽  
pp. 761-768 ◽  
Author(s):  
Patricia R. Blank ◽  
Andreas U. Freiburghaus ◽  
Bernhard R. Ruf ◽  
Matthias M. Schwenkglenks ◽  
Thomas D. Szucs

2012 ◽  
Vol 446-449 ◽  
pp. 3529-3533
Author(s):  
Ruo Qi Xu ◽  
Hua Peng ◽  
Deng Rong Zhang ◽  
Chu Dong Huang ◽  
Ying Hao Li ◽  
...  

Ancient architectures have always been of great interest to a variety of studies. In this analysis, the distribution of ancient architectures in Taizhou, Zhejiang Province is investigated. In each area of the distribution, the characteristic of the ancient architectures are recorded, such as story number, building materials, construction time, etc. The various types of information are then input into a GIS (Geographic Information System) database, which also contains some typical images of the ancient architectures. Some of the data are from GoogleEarth or archived CAD (Computer Aided Design) files. Consequently, the distribution and characteristic of ancient architectures are analyzed consulting the GIS map and attribute table. Although the ancient architectures are similar in Taizhou, Zhejiang Province, there exist some notable differences. The commonness and differences would be significative for the preservation and planning for ancient architectures.


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