دورية أكاديمية

Realtime case study simulations of transmission of Pancreas Disease (PD) in Norwegian salmonid farming for disease control purposes

التفاصيل البيبلوغرافية
العنوان: Realtime case study simulations of transmission of Pancreas Disease (PD) in Norwegian salmonid farming for disease control purposes
المؤلفون: Britt Bang Jensen, Katharine R. Dean, Ragnar Bang Huseby, Magne Aldrin, Lars Qviller
المصدر: Epidemics, Vol 37, Iss , Pp 100502- (2021)
بيانات النشر: Elsevier, 2021.
سنة النشر: 2021
المجموعة: LCC:Infectious and parasitic diseases
مصطلحات موضوعية: Scenario simulation, Disease transmission, Aquatic epidemiology, Pancreas Disease, Disease control, Infectious and parasitic diseases, RC109-216
الوصف: Pancreas Disease (PD) is a viral disease caused by Salmonid Alphavirus (SAV). It affects farmed salmonids in the North Atlantic, and leads to reduced feed intake and increased mortality with reduced production and welfare as a consequence. In 2013, the estimated cost of an outbreak on an average salmon farm was about 6.6 mil €. In Norway, PD has been notifiable since 2008, and regulations to mitigate disease spread are in place. However, despite the regulations, 140–170 farms are affected by PD every year. The aquaculture industry is growing continuously, introducing farms in new geographical areas, and fish are moved between hydrographically separated zones for trade and slaughter. All such movements and relocations need to be approved by the competent authorities. Thus, there is a demand for support to farmers and competent authorities when making decisions on disease management and especially on the effect of moving infected fish. We have used a disease-transmission model for outbreak-simulation in real time for assessing the probability of disease transmission from a farm that gets infected with PD. We have also simulated the effects of three different control-regimes: no stamping-out, delayed stamping-out or immediate stamping-out, on the transmission of PD to surrounding farms. Simulations showed that the immediate stamping out of an infected farm led to effective containment of an outbreak. No stamping out led to up to 32.1% of farms within 100 km of the index farm to become effected. We have used real production data for the model building and the scenario simulations, and the results illustrate that a risk assessment of horizontal disease transmission must be undertaken on a case-by-case basis, because the time and place of the outbreak has a large influence on the risk of transmission.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1755-4365
Relation: http://www.sciencedirect.com/science/article/pii/S1755436521000529; https://doaj.org/toc/1755-4365
DOI: 10.1016/j.epidem.2021.100502
URL الوصول: https://doaj.org/article/e77c22031e3e498385387c9412e19546
رقم الأكسشن: edsdoj.77c22031e3e498385387c9412e19546
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17554365
DOI:10.1016/j.epidem.2021.100502