Literature DB >> 17614148

The North American Animal Disease Spread Model: a simulation model to assist decision making in evaluating animal disease incursions.

Neil Harvey1, Aaron Reeves, Mark A Schoenbaum, Francisco J Zagmutt-Vergara, Caroline Dubé, Ashley E Hill, Barbara A Corso, W Bruce McNab, Claudia I Cartwright, Mo D Salman.   

Abstract

The North American Animal Disease Spread Model is a stochastic, spatial, state-transition simulation model for the spread of highly contagious diseases of animals. It was developed with broad international support to assist policy development and decision making involving disease incursions. User-established parameters define model behavior in terms of disease progression; disease spread by animal-to-animal contact, contact with contaminated personnel or equipment, and airborne dissemination; and the implementation of control measures such as destruction and vaccination. Resources available to implement disease control strategies, as well as the direct costs associated with these strategies, are taken into consideration. The model records a wide variety of measures of the extent of simulated outbreaks and other characteristics. The graphical interface and output visualization features also make it a useful tool for training and preparedness exercises. This model is now being used to evaluate outbreak scenarios and potential control strategies for several economically important exotic animal diseases in the United States, Canada, and elsewhere. NAADSM is freely available via the Internet at http://www.naadsm.org.

Mesh:

Year:  2007        PMID: 17614148     DOI: 10.1016/j.prevetmed.2007.05.019

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  26 in total

Review 1.  Living with transboundary animal diseases (TADs).

Authors:  Paul B Rossiter; Najib Al Hammadi
Journal:  Trop Anim Health Prod       Date:  2008-12-03       Impact factor: 1.559

2.  Stochastic modeling of animal epidemics using data collected over three different spatial scales.

Authors:  Chris Rorres; Sky T K Pelletier; Gary Smith
Journal:  Epidemics       Date:  2011-06       Impact factor: 4.396

3.  Decision-making for foot-and-mouth disease control: Objectives matter.

Authors:  William J M Probert; Katriona Shea; Christopher J Fonnesbeck; Michael C Runge; Tim E Carpenter; Salome Dürr; M Graeme Garner; Neil Harvey; Mark A Stevenson; Colleen T Webb; Marleen Werkman; Michael J Tildesley; Matthew J Ferrari
Journal:  Epidemics       Date:  2015-12-10       Impact factor: 4.396

Review 4.  Infectious diseases in oyster aquaculture require a new integrated approach.

Authors:  Fabrice Pernet; Coralie Lupo; Cédric Bacher; Richard J Whittington
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-03-05       Impact factor: 6.237

5.  Estimating front-wave velocity of infectious diseases: a simple, efficient method applied to bluetongue.

Authors:  Maryline Pioz; Hélène Guis; Didier Calavas; Benoît Durand; David Abrial; Christian Ducrot
Journal:  Vet Res       Date:  2011-04-20       Impact factor: 3.683

6.  Evaluating vaccination strategies to control foot-and-mouth disease: a model comparison study.

Authors:  S E Roche; M G Garner; R L Sanson; C Cook; C Birch; J A Backer; C Dube; K A Patyk; M A Stevenson; Z D Yu; T G Rawdon; F Gauntlett
Journal:  Epidemiol Infect       Date:  2014-07-31       Impact factor: 4.434

7.  Evaluating vaccination strategies to control foot-and-mouth disease: a country comparison study.

Authors:  T G Rawdon; M G Garner; R L Sanson; M A Stevenson; C Cook; C Birch; S E Roche; K A Patyk; K N Forde-Folle; C Dubé; T Smylie; Z D Yu
Journal:  Epidemiol Infect       Date:  2018-05-22       Impact factor: 4.434

8.  Economic Assessment of FMDv Releases from the National Bio and Agro Defense Facility.

Authors:  Dustin L Pendell; Thomas L Marsh; Keith H Coble; Jayson L Lusk; Sara C Szmania
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

9.  A Bayesian ensemble approach for epidemiological projections.

Authors:  Tom Lindström; Michael Tildesley; Colleen Webb
Journal:  PLoS Comput Biol       Date:  2015-04-30       Impact factor: 4.475

Review 10.  Using quantitative disease dynamics as a tool for guiding response to avian influenza in poultry in the United States of America.

Authors:  K M Pepin; E Spackman; J D Brown; K L Pabilonia; L P Garber; J T Weaver; D A Kennedy; K A Patyk; K P Huyvaert; R S Miller; A B Franklin; K Pedersen; T L Bogich; P Rohani; S A Shriner; C T Webb; S Riley
Journal:  Prev Vet Med       Date:  2013-12-01       Impact factor: 2.670

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