Postdocs

Sara

Sara Amirpour Haredasht is interested in model-based monitoring/prediction of infection disease dynamics. She aims to combine mechanistic process knowledge with measured information (e.g. cases of infections, environmental and time variable parameters related to the spread of the disease) which makes the resulted model understandable from a biological/ socio-economical/ ecological point of view, but at the same time allows the model to use real-time measured information (temporal as well as regional) in order to predict the evolution and dynamics of infectious diseases. Such model predictions can be used as a basis for, among other things, monitoring and early-warning systems for disease outbreaks. Primarily, she has been involved in development of temporal and spatial models based on climate and vegetation data to predict outbreaks of emerging viral zoonotic diseases in Europe.