Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1016/j.prevetmed.2019.104814
Document author version
Title (Primary) Reviewing age-structured epidemiological models of cattle diseases tailored to support management decisions: Guidance for the future
Author Brock, J.; Lange, M.; More, S.J.; Graham, D.; Thulke, H.-H. ORCID logo
Source Titel Preventive Veterinary Medicine
Year 2020
Department OESA
Volume 174
Page From art. 104814
Language englisch
Supplements https://ars.els-cdn.com/content/image/1-s2.0-S0167587719302703-mmc1.docx
Keywords Epidemiology; Model; Mechanistic; Transmission; Cattle; Bovine, Disease; Review
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.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=22557
Brock, J., Lange, M., More, S.J., Graham, D., Thulke, H.-H. (2020):
Reviewing age-structured epidemiological models of cattle diseases tailored to support management decisions: Guidance for the future
Prev. Vet. Med. 174 , art. 104814 10.1016/j.prevetmed.2019.104814