Contact
Gema Vidal
DVM, MPVM, PhD Epidemiology
Statens veterinärmedicinska anstalt
gema.vidal@sva.se
+46 73-086 38 72
Gema Vidal
Title:DVM, MPVM, PhD Epidemiology
Research area :Infectious diseases, endemic diseases, animal welfare, machine learning, causal inference, applied methods, rural development.
Her research focuses on the development of predictive models using highly heterogeneous data sources. She is working in the integration of early warning models into tools that can be used by different stakeholders to aid decision-making.
All projects
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Publications
Impact of sensor data pre-processing strategies and selection of machine learning algorithm on the prediction of metritis events in dairy cattle. (2023)
Comparative performance analysis of three machine learning algorithms applied to sensor data registered by a leg-attached accelerometer to predict metritis events in dairy cattle (2023)
Data workflows and visualization in support of surveillance practice (2023)
Social and ethical implications of data and technology use on farms: a qualitative study of Swedish dairy and pig farmers (2023)
Reducing calf mortality in Ethiopia (2022)
Prevalence of bovine viral diarrhea virus antibodies and risk factors in dairy catle in Gondar city, Northwest Ethiopia (2021)
Ranking the risk of animal-to-human spillover for newly discovered viruses (2020)
Characterization of the temporal trends in the rate of cattle carcass condemnations in the US and dynamic modeling of the condemnation reasons in California with a seasonal component (2018)
Monitoring of Schmallenberg virus in Spanish wild artiodactyls, 2006 – 2015 (2017)
Evaluation of two methodologies for lameness detection in dairy cows based on postural and gait abnormalities observed during milking and while restrained at headlock stanchions (2016)