Literature DB >> 12213394

Community interventions and the epidemic prevention potential.

M Elizabeth Halloran1, Ira M Longini, David M Cowart, Azhar Nizam.   

Abstract

Evaluation of community-level effects of intervention programs in infectious diseases is receiving increased attention. In this paper, we consider evaluation of the community-level effectiveness measures on the example of vaccination of children against influenza. We introduce the concept of the epidemic prevention potential (EPP) as a measure of the ability of an intervention to either prevent transmission or at least to keep it below a pre-defined limit. As a concept to describe the general ability of an intervention to limit outbreaks to a certain defined size, the term EPP fills a void. We constructed a stochastic simulation model of influenza transmission and vaccination in a structured community to illustrate the effectiveness measures of interest and the epidemic prevention potential. The concepts are general and could be applied to other interventions, such as antivirals and quarantine.

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Year:  2002        PMID: 12213394     DOI: 10.1016/s0264-410x(02)00316-x

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


  32 in total

Review 1.  Economic evaluations of childhood influenza vaccination: a critical review.

Authors:  Anthony T Newall; Mark Jit; Philippe Beutels
Journal:  Pharmacoeconomics       Date:  2012-08-01       Impact factor: 4.981

2.  Assumptions management in simulation of infectious disease outbreaks.

Authors:  Henrik Eriksson; Magnus Morin; Joakim Ekberg; Johan Jenvald; Toomas Timpka
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

3.  Impact of precautionary behaviors during outbreaks of pandemic influenza: modeling of regional differences.

Authors:  Joakim Ekberg; Henrik Eriksson; Magnus Morin; Einar Holm; Magnus Strömgren; Toomas Timpka
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

4.  Towards a simulation environment for modeling of local influenza outbreaks.

Authors:  Toomas Timpka; Magnus Morin; Johan Jenvald; Henrik Eriksson; Elin Gursky
Journal:  AMIA Annu Symp Proc       Date:  2005

5.  Toward Causal Inference With Interference.

Authors:  Michael G Hudgens; M Elizabeth Halloran
Journal:  J Am Stat Assoc       Date:  2008-06       Impact factor: 5.033

6.  A simple stochastic lattice gas model for H1N1 pandemic. Application to the Italian epidemiological data.

Authors:  A Fierro; A Liccardo
Journal:  Eur Phys J E Soft Matter       Date:  2011-02-16       Impact factor: 1.890

7.  Economic evaluation of influenza pandemic mitigation strategies in the United States using a stochastic microsimulation transmission model.

Authors:  Beate Sander; Azhar Nizam; Louis P Garrison; Maarten J Postma; M Elizabeth Halloran; Ira M Longini
Journal:  Value Health       Date:  2008-07-30       Impact factor: 5.725

8.  FluTE, a publicly available stochastic influenza epidemic simulation model.

Authors:  Dennis L Chao; M Elizabeth Halloran; Valerie J Obenchain; Ira M Longini
Journal:  PLoS Comput Biol       Date:  2010-01-29       Impact factor: 4.475

9.  Efficient simulation of the spatial transmission dynamics of influenza.

Authors:  Meng-Tsung Tsai; Tsurng-Chen Chern; Jen-Hsiang Chuang; Chih-Wen Hsueh; Hsu-Sung Kuo; Churn-Jung Liau; Steven Riley; Bing-Jie Shen; Chih-Hao Shen; Da-Wei Wang; Tsan-Sheng Hsu
Journal:  PLoS One       Date:  2010-11-04       Impact factor: 3.240

10.  Influenza outbreak during Sydney World Youth Day 2008: the utility of laboratory testing and case definitions on mass gathering outbreak containment.

Authors:  Sebastiaan J van Hal; Hong Foo; Christopher C Blyth; Kenneth McPhie; Paul Armstrong; Vitali Sintchenko; Dominic E Dwyer
Journal:  PLoS One       Date:  2009-09-03       Impact factor: 3.240

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