Literature DB >> 25843373

Eight challenges in modelling infectious livestock diseases.

E Brooks-Pollock1, M C M de Jong2, M J Keeling3, D Klinkenberg4, J L N Wood5.   

Abstract

The transmission of infectious diseases of livestock does not differ in principle from disease transmission in any other animals, apart from that the aim of control is ultimately economic, with the influence of social, political and welfare constraints often poorly defined. Modelling of livestock diseases suffers simultaneously from a wealth and a lack of data. On the one hand, the ability to conduct transmission experiments, detailed within-host studies and track individual animals between geocoded locations make livestock diseases a particularly rich potential source of realistic data for illuminating biological mechanisms of transmission and conducting explicit analyses of contact networks. On the other hand, scarcity of funding, as compared to human diseases, often results in incomplete and partial data for many livestock diseases and regions of the world. In this overview of challenges in livestock disease modelling, we highlight eight areas unique to livestock that, if addressed, would mark major progress in the area.
Copyright © 2014 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Challenges; Data-driven modelling; Livestock diseases; Mathematical modelling; Modelling for policy

Mesh:

Year:  2014        PMID: 25843373     DOI: 10.1016/j.epidem.2014.08.005

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


  21 in total

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-08       Impact factor: 6.237

4.  Exact Bayesian inference of epidemiological parameters from mortality data: application to African swine fever virus.

Authors:  David A Ewing; Christopher M Pooley; Kokouvi M Gamado; Thibaud Porphyre; Glenn Marion
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Journal:  Vet Sci       Date:  2022-06-14

6.  Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants.

Authors:  Robin N Thompson; Ellen Brooks-Pollock
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-24       Impact factor: 6.237

7.  Accounting for farmers' control decisions in a model of pathogen spread through animal trade.

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Journal:  Sci Rep       Date:  2021-05-05       Impact factor: 4.379

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Authors:  Mike B Barongo; Karl Ståhl; Bernard Bett; Richard P Bishop; Eric M Fèvre; Tony Aliro; Edward Okoth; Charles Masembe; Darryn Knobel; Amos Ssematimba
Journal:  PLoS One       Date:  2015-05-04       Impact factor: 3.240

9.  Data-driven network modelling of disease transmission using complete population movement data: spread of VTEC O157 in Swedish cattle.

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Journal:  Vet Res       Date:  2016-08-11       Impact factor: 3.683

10.  A Novel Statistical Model to Estimate Host Genetic Effects Affecting Disease Transmission.

Authors:  Osvaldo Anacleto; Luis Alberto Garcia-Cortés; Debby Lipschutz-Powell; John A Woolliams; Andrea B Doeschl-Wilson
Journal:  Genetics       Date:  2015-09-23       Impact factor: 4.562

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