Institute of Social and Preventive Medicine (ISPM)
University Clinic of Visceral Surgery and Medicine
Recipient of MCID Career Development Grant
ARTORG Centet for Biomedical Engineering
Institute for Infectious Diseases (IFIK)
Center for Space and Habitability (CSH)
University Institute of Clinical Chemistry
The SARS-CoV-2 pandemic has highlighted the importance of reliable surveillance systems to monitor epidemic trends for decision-making. We will develop a novel tool to track the spread of SARS-CoV-2 in the canton of Bern in near real-time, harnessing different data streams from electronic health records to social contact surveys, mobility patterns, and wastewater surveillance. Using methods from natural language processing and machine learning, we will determine early warning signals that can predict the epidemic dynamics. The tool will assist decision-makers to make informed decisions during the public health response against SARS-CoV-2 and in the face of future infectious disease threats.