Literature DB >> 23196206

Models of strategies for control of rubella and congenital rubella syndrome-a 40 year experience from Australia.

Zhanhai Gao1, James G Wood, Margaret A Burgess, Robert I Menzies, Peter B McIntyre, C Raina MacIntyre.   

Abstract

We investigated the impact of vaccination on rubella epidemiology in Australia, using a mathematical model fitted to Australian serosurvey data and incorporating pre-vaccination European estimates of rubella transmissibility. Mass infant measles-mumps-rubella (MMR) vaccination produced a 99% reduction in both rubella and congenital rubella syndrome (CRS) incidence by 2010 compared to the pre-vaccination era (1960-70). The model is consistent with reductions in CRS based on surveillance of congenital hearing impairment. Model simulations suggest that selective schoolgirl vaccination (1971-88) was associated with a 90% reduction in CRS incidence, but only a 1-4% reduction in rubella incidence. Our model predicted that these reductions in rubella were much less vulnerable to reductions in MMR vaccine coverage than for measles. In the future, a less than 15% decrease in MMR vaccine coverage is estimated to have minimal impact before 2060, but a 20% reduction may result in a 7-fold increase in rubella incidence, with the effective reproductive number R rising from 0.28 to 0.78 by 2060. The 99% reduction in both rubella and CRS incidence and low effective reproductive number (R≤0.28) we documented after 2010 are consistent with Australia having achieved rubella elimination.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23196206     DOI: 10.1016/j.vaccine.2012.11.043

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  8 in total

1.  Estimating the measles effective reproduction number in Australia from routine notification data.

Authors:  May Chiew; Heather F Gidding; Aditi Dey; James Wood; Nicolee Martin; Stephanie Davis; Peter McIntyre
Journal:  Bull World Health Organ       Date:  2013-12-09       Impact factor: 9.408

2.  Short-term Prediction of the Incidence of Congenital Rubella Syndrome.

Authors:  Yasushi Ohkusa; Tamie Sugawara; Satoru Arai; Hiroshi Satoh; Hideo Okuno; Keiko Tanaka-Taya; Kazunori Oishi
Journal:  PLoS Curr       Date:  2014-10-30

3.  How to determine protective immunity in the post-vaccine era.

Authors:  Carmen L Charlton; Florence Y Lai; Douglas C Dover
Journal:  Hum Vaccin Immunother       Date:  2016-04-02       Impact factor: 3.452

4.  The Impact of Rubella Vaccine Introduction on Rubella Infection and Congenital Rubella Syndrome: A Systematic Review of Mathematical Modelling Studies.

Authors:  Nkengafac Villyen Motaze; Zinhle E Mthombothi; Olatunji Adetokunboh; C Marijn Hazelbag; Enrique M Saldarriaga; Lawrence Mbuagbaw; Charles Shey Wiysonge
Journal:  Vaccines (Basel)       Date:  2021-01-25

5.  Persistence of rubella and mumps antibodies, following changes in the recommended age for the second dose of MMR vaccine in Portugal.

Authors:  G Gonçalves; J Frade; M S J Nascimento; J R Mesquita; C Nunes
Journal:  Epidemiol Infect       Date:  2016-08-04       Impact factor: 4.434

6.  Assessing the Effectiveness and Cost-Benefit of Test-and-Vaccinate Policy for Supplementary Vaccination against Rubella with Limited Doses.

Authors:  Masaya M Saito; Keisuke Ejima; Ryo Kinoshita; Hiroshi Nishiura
Journal:  Int J Environ Res Public Health       Date:  2018-03-22       Impact factor: 3.390

7.  A study on fractional COVID-19 disease model by using Hermite wavelets.

Authors:  Sunil Kumar; Ranbir Kumar; Shaher Momani; Samir Hadid
Journal:  Math Methods Appl Sci       Date:  2021-02-07       Impact factor: 3.007

8.  Reconstructing the transmission dynamics of rubella in Japan, 2012-2013.

Authors:  Masaya M Saito; Hiroshi Nishiura; Tomoyuki Higuchi
Journal:  PLoS One       Date:  2018-10-17       Impact factor: 3.240

  8 in total

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