Data_Sheet_2_Stochastic Assessment of the Economic Impact of Streptococcus suis-Associated Disease in German, Dutch and Spanish Swine Farms.docx

The economic assessment of animal diseases is essential for decision-making, including the allocation of resources for disease control. However, that assessment is usually hampered by the lack of reliable data on disease incidence, or treatment and control measures, and that is particularly true for swine production diseases, such as infections caused by Streptococcus suis. Therefore, we deployed a questionnaire survey of clinical swine veterinarians to obtain the input data needed for a stochastic model to calculate the costs caused by S. suis, which was implemented in three of the main swine... Mehr ...

Verfasser: Carlos Neila-Ibáñez
Jordi Casal
Isabel Hennig-Pauka
Norbert Stockhofe-Zurwieden
Marcelo Gottschalk
Lourdes Migura-García
Lola Pailler-García
Sebastián Napp
Dokumenttyp: Dataset
Erscheinungsdatum: 2021
Schlagwörter: Animal Systematics and Taxonomy / Animal Physiology - Biophysics / Animal Physiology - Cell / Animal Physiology - Systems / Animal Behaviour / Animal Cell and Molecular Biology / Animal Developmental and Reproductive Biology / Animal Immunology / Animal Neurobiology / Animal Physiological Ecology / Animal Structure and Function / Veterinary Anaesthesiology and Intensive Care / Veterinary Anatomy and Physiology / Veterinary Diagnosis and Diagnostics / Veterinary Epidemiology / Veterinary Immunology / Veterinary Medicine / Veterinary Microbiology (excl. Virology) / Veterinary Parasitology / Veterinary Pathology / Veterinary Pharmacology / Veterinary Surgery / Veterinary Virology / Veterinary Sciences not elsewhere classified / Streptococcus suis / antimicrobials / questionnaires / economic assessment / swine production disease / incidence / stochastic model / cost of disease
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-27022650
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.3389/fvets.2021.676002.s002