Literature DB >> 10813154

Predicting and preventing measles epidemics in New Zealand: application of a mathematical model.

M G Roberts1, M I Tobias.   

Abstract

A mathematical model of the dynamics of measles in New Zealand was developed in 1996. The model successfully predicted an epidemic in 1997 and was instrumental in the decision to carry out an intensive MMR (measles-mumps rubella) immunization campaign in that year. While the epidemic began some months earlier than anticipated, it was rapidly brought under control, and its impact on the population was much reduced. In order to prevent the occurrence of further epidemics in New Zealand, an extended version of the model has since been developed and applied to the critical question of the optimal timing of MMR immunization.

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Year:  2000        PMID: 10813154      PMCID: PMC2810912          DOI: 10.1017/s0950268899003556

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


  10 in total

1.  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

2.  The pluses and minuses of R0.

Authors:  M G Roberts
Journal:  J R Soc Interface       Date:  2007-10-22       Impact factor: 4.118

3.  Effectiveness assessment of vaccination policy against measles epidemic in Japan using an age-time two-dimensional mathematical model.

Authors:  Yusuke Maitani; Hirofumi Ishikawa
Journal:  Environ Health Prev Med       Date:  2011-05-07       Impact factor: 3.674

4.  Modelling strategies for minimizing the impact of an imported exotic infection.

Authors:  M G Roberts
Journal:  Proc Biol Sci       Date:  2004-11-22       Impact factor: 5.349

5.  The OptAIDS project: towards global halting of HIV/AIDS.

Authors:  Robert J Smith; Richard Gordon
Journal:  BMC Public Health       Date:  2009-11-18       Impact factor: 3.295

6.  Global importation and population risk factors for measles in New Zealand: a case study for highly immunized populations.

Authors:  D T S Hayman; J C Marshall; N P French; T E Carpenter; M G Roberts; T Kiedrzynski
Journal:  Epidemiol Infect       Date:  2017-04-17       Impact factor: 4.434

7.  Cost-effectiveness of influenza control measures: a dynamic transmission model-based analysis.

Authors:  S-C Chen; C-M Liao
Journal:  Epidemiol Infect       Date:  2013-03-12       Impact factor: 4.434

8.  Cohort effects in dynamic models and their impact on vaccination programmes: an example from hepatitis A.

Authors:  Arni S R Srinivasa Rao; Maggie H Chen; Ba' Z Pham; Andrea C Tricco; Vladimir Gilca; Bernard Duval; Murray D Krahn; Chris T Bauch
Journal:  BMC Infect Dis       Date:  2006-12-05       Impact factor: 3.090

9.  Real-time predictive seasonal influenza model in Catalonia, Spain.

Authors:  Luca Basile; Manuel Oviedo de la Fuente; Nuria Torner; Ana Martínez; Mireia Jané
Journal:  PLoS One       Date:  2018-03-07       Impact factor: 3.240

10.  Three-dimensional visualization of cultural clusters in the 1878 yellow fever epidemic of New Orleans.

Authors:  Andrew J Curtis
Journal:  Int J Health Geogr       Date:  2008-08-22       Impact factor: 3.918

  10 in total

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