Literature DB >> 31743817

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

Jonas Brock1, Martin Lange2, Simon J More3, David Graham4, Hans-Hermann Thulke2.   

Abstract

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

Entities:  

Keywords:  Bovine; Cattle; Disease; Epidemiology; Mechanistic; Model; Review; Transmission

Year:  2019        PMID: 31743817     DOI: 10.1016/j.prevetmed.2019.104814

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  2 in total

1.  Review of Infections With Bovine Herpesvirus 1 in Slovenia.

Authors:  Peter Hostnik; Danijela Černe; Janko Mrkun; Jože Starič; Ivan Toplak
Journal:  Front Vet Sci       Date:  2021-07-01

2.  Epidemiology of age-dependent prevalence of Bovine Herpes Virus Type 1 (BoHV-1) in dairy herds with and without vaccination.

Authors:  Jonas Brock; Martin Lange; Maria Guelbenzu-Gonzalo; Natascha Meunier; Ana Margarida Vaz; Jamie A Tratalos; Peter Dittrich; Michael Gunn; Simon J More; David Graham; Hans-Hermann Thulke
Journal:  Vet Res       Date:  2020-09-25       Impact factor: 3.683

  2 in total

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