Literature DB >> 11218214

The pre-vaccination epidemiology of measles, mumps and rubella in Europe: implications for modelling studies.

W J Edmunds1, N J Gay, M Kretzschmar, R G Pebody, H Wachmann.   

Abstract

Data on the pre-vaccination patterns of infection for measles, mumps and rubella are collated from a number of European countries in order to compare the epidemiology of the three viruses. Key epidemiological parameters, such as the age-specific force of infection and the basic reproduction number (R0) are estimated from case notification or serological data using standard techniques. A method is described to compare force of infection estimates derived from serological data. Analysis suggests that the pre-vaccination patterns of measles and mumps infection in the different countries were similar. In contrast, the epidemiology of rubella was highly variable between countries. This suggests that it may be acceptable to use parameter values estimated from other countries to model measles and mumps transmission, but that this approach to modelling rubella transmission requires more caution. Estimates of R0 depend on underlying mixing assumptions. Constraints were placed on R0 estimates by utilising knowledge of likely mixing patterns. The estimates for R0 were highest for measles, intermediate for mumps, and generally lowest for rubella. Analysis of within- and between-age-group transmission rates suggested that mumps transmission tends to be more concentrated within young children than the other two viruses. The implications for the design of immunization programmes are that mumps may be the easiest to control via infant immunization since it is predominantly transmitted between the very young and the variability in rubella epidemiology requires that careful consideration of the possible effects of vaccination options should be made using local data when planning rubella immunization programmes.

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Year:  2000        PMID: 11218214      PMCID: PMC2869647          DOI: 10.1017/s0950268800004672

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  60 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-07       Impact factor: 11.205

2.  Modelling vaccination programmes against measles in Taiwan.

Authors:  S C Chen; C F Chang; L J Jou; C M Liao
Journal:  Epidemiol Infect       Date:  2006-10-26       Impact factor: 2.451

3.  Resolving the impact of waiting time distributions on the persistence of measles.

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Journal:  J R Soc Interface       Date:  2009-09-30       Impact factor: 4.118

4.  Outbreak of mumps in a student population with high vaccination coverage in China: time for two-dose vaccination.

Authors:  Wei Qin; Yao Wang; Tao Yang; Xiao-Kang Xu; Xiang-Mei Meng; Chang-Jun Zhao; Shao-Yi Li; Shao-Yu Xie; Kai-Chun Li; Hong Su
Journal:  Hum Vaccin Immunother       Date:  2019-03-15       Impact factor: 3.452

5.  Age-structure and transient dynamics in epidemiological systems.

Authors:  F M G Magpantay; A A King; P Rohani
Journal:  J R Soc Interface       Date:  2019-07-31       Impact factor: 4.118

6.  Modelling the first dose of measles vaccination: the role of maternal immunity, demographic factors, and delivery systems.

Authors:  C J E Metcalf; P Klepac; M Ferrari; R F Grais; A Djibo; B T Grenfell
Journal:  Epidemiol Infect       Date:  2010-06-07       Impact factor: 2.451

7.  Models of epidemics: when contact repetition and clustering should be included.

Authors:  Timo Smieszek; Lena Fiebig; Roland W Scholz
Journal:  Theor Biol Med Model       Date:  2009-06-29       Impact factor: 2.432

8.  Incidence and reproduction numbers of pertussis: estimates from serological and social contact data in five European countries.

Authors:  Mirjam Kretzschmar; Peter F M Teunis; Richard G Pebody
Journal:  PLoS Med       Date:  2010-06-22       Impact factor: 11.069

9.  Quantifying child mortality reductions related to measles vaccination.

Authors:  Jeremy D Goldhaber-Fiebert; Marc Lipsitch; Ajay Mahal; Alan M Zaslavsky; Joshua A Salomon
Journal:  PLoS One       Date:  2010-11-04       Impact factor: 3.240

10.  Comparison of rubella seroepidemiology in 17 countries: progress towards international disease control targets.

Authors:  Anthony Nardone; Annedore Tischer; Nick Andrews; Jo Backhouse; Heidi Theeten; Nina Gatcheva; Marios Zarvou; Bohumir Kriz; Richard G Pebody; Kalman Bartha; Darina O'Flanagan; Dani Cohen; Arnis Duks; Algirdas Griskevicius; Joel Mossong; Christopher Barbara; Adrianna Pistol; Margareta Slaciková; Katarina Prosenc; Kari Johansen; Elizabeth Miller
Journal:  Bull World Health Organ       Date:  2008-02       Impact factor: 9.408

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