Literature DB >> 32622313

How mechanistic modelling supports decision making for the control of enzootic infectious diseases.

P Ezanno1, M Andraud2, G Beaunée3, T Hoch4, S Krebs5, A Rault6, S Touzeau7, E Vergu8, S Widgren9.   

Abstract

Controlling enzootic diseases, which generate a large cumulative burden and are often unregulated, is needed for sustainable farming, competitive agri-food chains, and veterinary public health. We discuss the benefits and challenges of mechanistic epidemiological modelling for livestock enzootics, with particular emphasis on the need for interdisciplinary approaches. We focus on issues arising when modelling pathogen spread at various scales (from farm to the region) to better assess disease control and propose targeted options. We discuss in particular the inclusion of farmers' strategic decision-making, the integration of within-host scale to refine intervention targeting, and the need to ground models on data.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Data; Epidemiological model; Health economics; Interdisciplinarity; Livestock; Multiscale

Mesh:

Year:  2020        PMID: 32622313     DOI: 10.1016/j.epidem.2020.100398

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


  3 in total

1.  Modelling transmission of Mycobacterium avium subspecies paratuberculosis between Irish dairy cattle herds.

Authors:  Floor Biemans; Jamie Tratalos; Sandie Arnoux; George Ramsbottom; Simon J More; Pauline Ezanno
Journal:  Vet Res       Date:  2022-06-22       Impact factor: 3.829

2.  Multiple species animal movements: network properties, disease dynamics and the impact of targeted control actions.

Authors:  Nicolas C Cardenas; Abagael L Sykes; Francisco P N Lopes; Gustavo Machado
Journal:  Vet Res       Date:  2022-02-22       Impact factor: 3.683

3.  Modelling the effects of antimicrobial metaphylaxis and pen size on bovine respiratory disease in high and low risk fattening cattle.

Authors:  Sébastien Picault; Pauline Ezanno; Kristen Smith; David Amrine; Brad White; Sébastien Assié
Journal:  Vet Res       Date:  2022-10-04       Impact factor: 3.829

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.