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. |
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 |