How mechanistic modelling supports decision making for the control of enzootic infectious diseases.
Data
Epidemiological model
Health economics
Interdisciplinarity
Livestock
Multiscale
Journal
Epidemics
ISSN: 1878-0067
Titre abrégé: Epidemics
Pays: Netherlands
ID NLM: 101484711
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
18
12
2019
revised:
07
05
2020
accepted:
29
05
2020
pubmed:
6
7
2020
medline:
3
2
2021
entrez:
5
7
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32622313
pii: S1755-4365(20)30025-6
doi: 10.1016/j.epidem.2020.100398
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
100398Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.