Literature DB >> 17514471

[Vaccination coverage and predictors for vaccination level. Results of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS)].

C Poethko-Müller1, R Kuhnert, M Schlaud.   

Abstract

The level of childhood immunisation is an acknowledged indicator for health prevention. In Germany, vaccination is not compulsive. Continuous representative data derive only from school health examinations. From May 2003 until May 2006 the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) was conducted and vaccination information on 16,460 participants was obtained. Using data on the vaccination cards, it was possible to make detailed analyses of vaccination coverage in children up to the age of 17. Different vaccine types were taken into consideration in defining the term 'immunisation coverage'. The average prevalence of full immunisation for tetanus, diphtheria und polio as well as the coverage for the first dose of measles, mumps and rubella (MMR) vaccination was above 90% in children aged 2-17 years. Vaccination coverage for pertussis, Hib and hepatitis B is higher in younger than in older age groups. Compliance with the recommendation to have a second MMR dose and to make up of hepatitis B and pertussis immunisation is still low, especially in adolescents. In 7- to 17-year-old children the additional booster (recommended for 5- to 6-year-old children) is frequently missing.

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Year:  2007        PMID: 17514471     DOI: 10.1007/s00103-007-0248-0

Source DB:  PubMed          Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz        ISSN: 1436-9990            Impact factor:   1.513


  20 in total

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Authors:  Nicole Rosenkötter; Martien C J M van Dongen; Wolfgang Hellmeier; Klaus Simon; Pieter C Dagnelie
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2.  Modeling the cost-effectiveness of infant vaccination with pneumococcal conjugate vaccines in Germany.

Authors:  Alexander Kuhlmann; J-Matthias Graf von der Schulenburg
Journal:  Eur J Health Econ       Date:  2016-02-23

3.  Assessment of mumps virus-specific antibodies by different serological assays: which test correlates best with mumps immunity?

Authors:  R Allwinn; B Zeidler; K Steinhagen; E Rohwäder; S Wicker; H F Rabenau; H W Doerr
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2011-04-01       Impact factor: 3.267

4.  Immunization rates at the school entry in 2012.

Authors:  Martin Weigel; Roswitha Bruns; Kerstin Weitmann; Wolfgang Hoffmann
Journal:  Dtsch Arztebl Int       Date:  2014-11-14       Impact factor: 5.594

5.  Motivation Is Crucial for Immunization Success.

Authors:  Carsten Krüger
Journal:  Dtsch Arztebl Int       Date:  2015-06-05       Impact factor: 5.594

6.  Human papillomavirus vaccine uptake, knowledge and attitude among 10th grade students in Berlin, Germany, 2010.

Authors:  Petra Stöcker; Manuel Dehnert; Melanie Schuster; Ole Wichmann; Yvonne Deleré
Journal:  Hum Vaccin Immunother       Date:  2012-09-20       Impact factor: 3.452

7.  Time since last vaccine dose in PCR-positive and PCR-negative children with suspected pertussis to monitor pertussis vaccine effectiveness.

Authors:  M Riffelmann; J Mohr; W Hellenbrand; C H Wirsing von Koenig
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-12-01       Impact factor: 3.267

8.  Pertussis: not only a disease of childhood.

Authors:  Marion Riffelmann; Martina Littmann; Christel Hülße; Wiebke Hellenbrand; Carl Heinz Wirsing von König
Journal:  Dtsch Arztebl Int       Date:  2008-09-12       Impact factor: 5.594

9.  Seroprevalence of measles-, mumps- and rubella-specific IgG antibodies in German children and adolescents and predictors for seronegativity.

Authors:  Christina Poethko-Müller; Annette Mankertz
Journal:  PLoS One       Date:  2012-08-06       Impact factor: 3.240

10.  Two consecutive measles outbreaks with genotypes D8 and D4 in two mainly unvaccinated communities in Germany.

Authors:  Hedwig Roggendorf; Sabine Santibanez; Annette Mankertz; Ulrich van Treeck; Michael Roggendorf
Journal:  Med Microbiol Immunol       Date:  2012-05-09       Impact factor: 4.148

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