Literature DB >> 9758057

Modeling measles, mumps, and rubella: implications for the design of vaccination programs.

N J Gay1.   

Abstract

Mathematical models of disease transmission are being used increasingly in the design of population-based vaccination programs. Their use is illustrated in a review of some modeling studies that have implications for the use of measles, mumps, and rubella vaccine. Investigations of vaccination strategy options yield predictions for effectiveness and cost-effectiveness analyses. A quantitative understanding of the factors affecting disease transmission enables the setting of targets for vaccination programs and underpins disease elimination initiatives.

Entities:  

Mesh:

Year:  1998        PMID: 9758057     DOI: 10.1086/647875

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  6 in total

1.  Modeling population immunity to support efforts to end the transmission of live polioviruses.

Authors:  Kimberly M Thompson; Mark A Pallansch; Radboud J Duintjer Tebbens; Steve G Wassilak; Stephen L Cochi
Journal:  Risk Anal       Date:  2012-09-17       Impact factor: 4.000

2.  Impact of birth rate, seasonality and transmission rate on minimum levels of coverage needed for rubella vaccination.

Authors:  C J E Metcalf; J Lessler; P Klepac; F Cutts; B T Grenfell
Journal:  Epidemiol Infect       Date:  2012-02-16       Impact factor: 4.434

3.  Measles in Canada Between 2002 and 2013.

Authors:  Gaston De Serres; Shalini Desai; Amanda Shane; Joanne Hiebert; Manale Ouakki; Alberto Severini
Journal:  Open Forum Infect Dis       Date:  2015-04-15       Impact factor: 3.835

4.  Waning Immunity Is Associated with Periodic Large Outbreaks of Mumps: A Mathematical Modeling Study of Scottish Data.

Authors:  Dalila Hamami; Ross Cameron; Kevin G Pollock; Carron Shankland
Journal:  Front Physiol       Date:  2017-04-25       Impact factor: 4.566

5.  Data-Driven Risk Assessment from Small Scale Epidemics: Estimation and Model Choice for Spatio-Temporal Data with Application to a Classical Swine Fever Outbreak.

Authors:  Kokouvi Gamado; Glenn Marion; Thibaud Porphyre
Journal:  Front Vet Sci       Date:  2017-02-28

6.  Implications of spatially heterogeneous vaccination coverage for the risk of congenital rubella syndrome in South Africa.

Authors:  C J E Metcalf; C Cohen; J Lessler; J M McAnerney; G M Ntshoe; A Puren; P Klepac; A Tatem; B T Grenfell; O N Bjørnstad
Journal:  J R Soc Interface       Date:  2013-01-06       Impact factor: 4.118

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.