Reviewing age-structured epidemiological models of cattle diseases tailored to support management decisions: Guidance for the future.


Journal

Preventive veterinary medicine
ISSN: 1873-1716
Titre abrégé: Prev Vet Med
Pays: Netherlands
ID NLM: 8217463

Informations de publication

Date de publication:
Jan 2020
Historique:
received: 18 04 2019
revised: 22 10 2019
accepted: 23 10 2019
pubmed: 20 11 2019
medline: 25 8 2020
entrez: 20 11 2019
Statut: ppublish

Résumé

Mechanistic simulation models are being increasingly used as tools to assist with animal health decision-making in the cattle sector. We reviewed scientific literature for studies reporting age-structured cattle management models in application to infectious diseases. Our emphasis was on papers dedicated to support decision making in the field. In this systematic review we considered 1290 manuscripts and identified 76 eligible studies. These are based on 52 individual models from 10 countries addressing 9 different pathogens. We provide an overview of these models and present in detail their theoretical foundations, design paradigms and incorporated processes. We propose a structure of the characteristics of cattle disease models using three main features: [1] biological processes, [2] farming-related processes and [3] pathogen-related processes. It would be of benefit if future cattle disease models were to follow this structure to facilitate science communication and to allow increased model transparency.

Identifiants

pubmed: 31743817
pii: S0167-5877(19)30270-3
doi: 10.1016/j.prevetmed.2019.104814
pii:
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

104814

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Jonas Brock (J)

Helmholtz Centre for Environmental Research GmbH - UFZ, Dept Ecological Modelling, PG Ecological Epidemiology, Leipzig, Germany; Animal Health Ireland, Carrick-on-Shannon, Co. Leitrim, Ireland. Electronic address: jonas.brock@ufz.de.

Martin Lange (M)

Helmholtz Centre for Environmental Research GmbH - UFZ, Dept Ecological Modelling, PG Ecological Epidemiology, Leipzig, Germany.

Simon J More (SJ)

Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Veterinary Medicine, University College Dublin, Dublin, Ireland.

David Graham (D)

Animal Health Ireland, Carrick-on-Shannon, Co. Leitrim, Ireland.

Hans-Hermann Thulke (HH)

Helmholtz Centre for Environmental Research GmbH - UFZ, Dept Ecological Modelling, PG Ecological Epidemiology, Leipzig, Germany.

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Classifications MeSH