Literature DB >> 21624780

An individual-based simulation of pneumonic plague transmission following an outbreak and the significance of intervention compliance.

Andrew D C Williams1, Ian M Hall, G James Rubin, Richard Amlôt, Steve Leach.   

Abstract

The existence of primary pneumonic plague outbreaks raises concerns over the use of the causative bacteria as an aerosol-based bioweapon. We employed an individual-based model, parameterised using published personal contact information, to assess the severity of a deliberate release in a discrete community, under the influence of two proposed intervention strategies. We observed that the severity of the resulting epidemic is determined by the degree of personal compliance with said strategies, implying that prior preparedness activities are essential in order that public awareness and willingness to seek treatment is achieved quickly.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21624780     DOI: 10.1016/j.epidem.2011.03.001

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  4 in total

Review 1.  Behavioural change models for infectious disease transmission: a systematic review (2010-2015).

Authors:  Frederik Verelst; Lander Willem; Philippe Beutels
Journal:  J R Soc Interface       Date:  2016-12       Impact factor: 4.118

Review 2.  Infection prevention behaviour and infectious disease modelling: a review of the literature and recommendations for the future.

Authors:  Dale Weston; Katharina Hauck; Richard Amlôt
Journal:  BMC Public Health       Date:  2018-03-09       Impact factor: 3.295

3.  An artificially simulated outbreak of a respiratory infectious disease.

Authors:  Zuiyuan Guo; Shuang Xu; Libo Tong; Botao Dai; Yuandong Liu; Dan Xiao
Journal:  BMC Public Health       Date:  2020-01-30       Impact factor: 3.295

4.  Lessons from a decade of individual-based models for infectious disease transmission: a systematic review (2006-2015).

Authors:  Lander Willem; Frederik Verelst; Joke Bilcke; Niel Hens; Philippe Beutels
Journal:  BMC Infect Dis       Date:  2017-09-11       Impact factor: 3.090

  4 in total

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