Research Visit in SUAT-VISAVET
Since September 2016 the reserach team Suat-Visavet has two new members: Nicola Scorovich and Paige Morrison, both students from Surrey University (UK). They are performing an internship of 8 moths in Epidemiology and Diagnosis of African Swine Fever.
IFAH Europe Conference 2016
The next 16th june will take place in Brussels the International conference: Animal health matters: will the legislation deliver?, organized by the IFAH-Europe federation (International Federation for Animal Health Europe). Prof. Sánchez-Vizcaíno will contribute with a speach about viruses in the session: why animal health matters.
Program IFAH Europe conference 2016X Modelling Week
We engage with the X Modelling Week at the Faculty of CC. Mathematics of the UCM from 13 to 17 June 2016.
The proposed problem consists on developing a video analysis system in real time for early detection of diseases in farms. For this work, 8 animals were continuously recorded for 4 weeks. During this period, the animals developed African swine fever (ASF) and we could notice clear signs of fatigue (which implies a motion reduction). The system perform image processing techniques based on mathematical-statistical techniques in order to identify and classify animal behaviour in their various states: eating, playing, sleeping or resting. Furthermore, the system detects abnormal behavior when the infection reaches its virulence moments for alert triggering.
Identification of New Genotype of African Swine Fever Virus in Domestic Pigs from Ethiopia
Technical Conference on bloodsucking insects of interest in Public Health and Animal Health
The Spanish Association of Veterinary Municipalities (AVEM) organized this conference in Zaragoza on 12 and 13 May 2016.
Professor José Manuel Sánchez-Vizcaíno participates with a presentation entitled "Information management and communication in crisis situations and / or perceived risks".
New publication Be-FAST in Preventive Veterinary Medicine
Implementation and validation of an economic module in the Be-FAST model to predict costs generated by livestock disease epidemics: Application to classical swine fever epidemics in Spain