We participate in both research and development activities. We conduct studies on the surveillance of a variety of diseases and conditions, and the applications of our research range from case detection, surveillance decision support, to the evaluation of public health interventions. We also develop and evaluate software for automated public health surveillance. All our projects are associated with one or more of the following activities: (a) modeling diseases and population health, (b) developing methods for case and outbreak detection, (c) exploring the potential of novel data sources, (d) evaluating surveillance systems and public health interventions, and (e) building software applications to support and improve disease surveillance. You can learn more about our projects in the corresponding sub-sections. |
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Evaluating Syndromic Surveillance in Public health Practice
Most efforts to evaluate syndromic surveillance have examined this approach in isolation. We are evaluating the relative benefit of strategic enhancements to reportable disease surveillance and syndromic surveillance for the detection of simulated waterborne outbreaks. The results from this research will allow public health departments to make evidence-based decisions about the allocation of resources to enhance surveillance programs. The project is funded by CIHR.
People: David Buckeridge, Masoumeh Izadi, Christian Jauvin, Anya Okhmatovskaia, Rolina van Gaalen, Aman Verma