Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1016/j.prevetmed.2019.104814
Volltext Autorenversion
Titel (primär) Reviewing age-structured epidemiological models of cattle diseases tailored to support management decisions: Guidance for the future
Autor Brock, J.; Lange, M.; More, S.J.; Graham, D.; Thulke, H.-H. ORCID logo
Quelle Preventive Veterinary Medicine
Erscheinungsjahr 2020
Department OESA
Band/Volume 174
Seite von art. 104814
Sprache 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.
dauerhafte UFZ-Verlinkung 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