Literature DB >> 22937896

A review of simulation modelling approaches used for the spread of zoonotic influenza viruses in animal and human populations.

S Dorjee1, Z Poljak, C W Revie, J Bridgland, B McNab, E Leger, J Sanchez.   

Abstract

Increasing incidences of emerging and re-emerging diseases that are mostly zoonotic (e.g. severe acute respiratory syndrome, avian influenza H5N1, pandemic influenza) has led to the need for a multidisciplinary approach to tackling these threats to public and animal health. Accordingly, a global movement of 'One-Health/One-Medicine' has been launched to foster collaborative efforts amongst animal and human health officials and researchers to address these problems. Historical evidence points to the fact that pandemics caused by influenza A viruses remain a major zoonotic threat to mankind. Recently, a range of mathematical and computer simulation modelling methods and tools have increasingly been applied to improve our understanding of disease transmission dynamics, contingency planning and to support policy decisions on disease outbreak management. This review provides an overview of methods, approaches and software used for modelling the spread of zoonotic influenza viruses in animals and humans, particularly those related to the animal-human interface. Modelling parameters used in these studies are summarized to provide references for future work. This review highlights the limited application of modelling research to influenza in animals and at the animal-human interface, in marked contrast to the large volume of its research in human populations. Although swine are widely recognized as a potential host for generating novel influenza viruses, and that some of these viruses, including pandemic influenza A/H1N1 2009, have been shown to be readily transmissible between humans and swine, only one study was found related to the modelling of influenza spread at the swine-human interface. Significant gaps in the knowledge of frequency of novel viral strains evolution in pigs, farm-level natural history of influenza infection, incidences of influenza transmission between farms and between swine and humans are clearly evident. Therefore, there is a need to direct additional research to the study of influenza transmission dynamics in animals and at the animal-human interface.
© 2012 Blackwell Verlag GmbH.

Entities:  

Keywords:  Simulation models; influenza; modelling; parameters; software; zoonotic

Mesh:

Year:  2012        PMID: 22937896     DOI: 10.1111/zph.12010

Source DB:  PubMed          Journal:  Zoonoses Public Health        ISSN: 1863-1959            Impact factor:   2.702


  9 in total

1.  Modeling and Forecasting Influenza-like Illness (ILI) in Houston, Texas Using Three Surveillance Data Capture Mechanisms.

Authors:  Susannah Paul; Osaro Mgbere; Raouf Arafat; Biru Yang; Eunice Santos
Journal:  Online J Public Health Inform       Date:  2017-09-08

2.  Dynamics of Virus Distribution in a Defined Swine Production Network Using Enteric Viruses as Molecular Markers.

Authors:  Virginie Lachapelle; Ann Letellier; Philippe Fravalo; Julie Brassard; Yvan L'Homme
Journal:  Appl Environ Microbiol       Date:  2017-02-01       Impact factor: 4.792

Review 3.  Influenza forecasting in human populations: a scoping review.

Authors:  Jean-Paul Chretien; Dylan George; Jeffrey Shaman; Rohit A Chitale; F Ellis McKenzie
Journal:  PLoS One       Date:  2014-04-08       Impact factor: 3.240

4.  VIRAPOPS2 supports the influenza virus reassortments.

Authors:  Michel Petitjean; Anne Vanet
Journal:  Source Code Biol Med       Date:  2014-08-17

5.  Recalibrating disease parameters for increasing realism in modeling epidemics in closed settings.

Authors:  Livio Bioglio; Mathieu Génois; Christian L Vestergaard; Chiara Poletto; Alain Barrat; Vittoria Colizza
Journal:  BMC Infect Dis       Date:  2016-11-14       Impact factor: 3.090

6.  High turnover drives prolonged persistence of influenza in managed pig herds.

Authors:  Virginia E Pitzer; Ricardo Aguas; Steven Riley; Willie L A Loeffen; James L N Wood; Bryan T Grenfell
Journal:  J R Soc Interface       Date:  2016-06       Impact factor: 4.118

7.  Mathematical modeling of influenza A virus dynamics within swine farms and the effects of vaccination.

Authors:  Jennifer J H Reynolds; Montserrat Torremorell; Meggan E Craft
Journal:  PLoS One       Date:  2014-08-27       Impact factor: 3.240

8.  Maternally Derived Immunity Extends Swine Influenza A Virus Persistence within Farrow-to-Finish Pig Farms: Insights from a Stochastic Event-Driven Metapopulation Model.

Authors:  Charlie Cador; Nicolas Rose; Lander Willem; Mathieu Andraud
Journal:  PLoS One       Date:  2016-09-23       Impact factor: 3.240

9.  An SEIR model of influenza A virus infection and reinfection within a farrow-to-finish swine farm.

Authors:  Fatima Etbaigha; Allan R Willms; Zvonimir Poljak
Journal:  PLoS One       Date:  2018-09-24       Impact factor: 3.240

  9 in total

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