Data sciEnce Tools for Epidemiologic surveillance using multiple sourCes of daTa - Improved flu/COVID-19 tracking and detection of new outbreaks (DETECT)

Type: National Project Project

Duration: from 2021 Mar 01 to 2024 Feb 29

Financed by: FCT

Prime Contractor: INESC-ID (Other)

Epidemiological surveillance systems that are robust, local, and timely are extremely necessary in the context of monitoring and predicting infections associated with pandemic influenza (e.g., H1N1) or coronavirus (e.g., SARS-CoV-2). However, even in the current "big data" era, existing systems are notorious for their time lag and lack of resolution. Despite many technical advances related to data acquisition, integration, and processing, most critical public health surveillance systems still rely almost exclusively on data collected and encoded by hand. This method increases the harmonization of concepts, but makes the data expensive and slow to obtain. The reports associated with these systems also tend to present national or regional aggregates of the patterns, with a coarse resolution at the temporal, spatial, and semantic levels. Without combining detailed data in near real time for building an accurate representation of the situation, it is impossible to build accurate models and activate the appropriate means of response to fight epidemics of infectious diseases. (...)


  • INESC-ID (Other)
  • INSA - Instituto Nacional de Saude Ricardo Jorge (Other) - Lisboa, Portugal
  • SPMS Serviços Partilhados do Ministério da Saúde, E.P.E. (Other) - Portugal

Principal Investigators