Literature DB >> 20521719

Use of epidemiologic models in the control of highly pathogenic avian influenza.

Arjan Stegeman1, Annemarie Bouma, Mart C M de Jong.   

Abstract

In the past decades, mathematical models have become more and more accepted as a tool to develop surveillance programs and to evaluate the efficacy of intervention measures for the control of infectious diseases such as highly pathogenic avian influenza. Predictive models are used to simulate the effect of various control measures on the course of an epidemic; analytical models are used to analyze data from outbreaks or from experiments. A key parameter in both types of models is the reproductive ratio, which indicates whether virus can be transmitted in the population, resulting in an epidemic, or not. Parameters obtained from real data using the analytical models can subsequently be used in predictive models to evaluate control strategies or surveillance programs. Examples of the use of these models are described here.

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Year:  2010        PMID: 20521719     DOI: 10.1637/8821-040209-Review.1

Source DB:  PubMed          Journal:  Avian Dis        ISSN: 0005-2086            Impact factor:   1.577


  4 in total

1.  Ongoing estimation of the epidemic parameters of a stochastic, spatial, discrete-time model for a 1983-84 avian influenza epidemic.

Authors:  C Rorres; S T K Pelletier; M C Bruhn; G Smith
Journal:  Avian Dis       Date:  2011-03       Impact factor: 1.577

2.  A single vaccination of commercial broilers does not reduce transmission of H5N1 highly pathogenic avian influenza.

Authors:  Okti Poetri; Annemarie Bouma; Ivo Claassen; Guus Koch; Retno Soejoedono; Arjan Stegeman; Michiel van Boven
Journal:  Vet Res       Date:  2011-06-02       Impact factor: 3.683

3.  Towards universal influenza vaccines?

Authors:  Ab Osterhaus; Ron Fouchier; Guus Rimmelzwaan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-10-12       Impact factor: 6.237

4.  Assessment of China's H5N1 routine vaccination strategy.

Authors:  Zhen Sun; Jimin Wang; Zeying Huang
Journal:  Sci Rep       Date:  2017-04-19       Impact factor: 4.379

  4 in total

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