Game Dev Técnico, a student club at Técnico, created a computer game that aims to raise public awareness on new coronavirus prevention – COVIDA, which focuses game dynamics on social distancing and consciousness.
COVIDETECT research project aims to create an early warning system to anticipate new waves of the new coronavirus at a certain location, through wastewater testing, as well as to understand what the true amount of infection is out in the community, and to detect the reemergence of SARS-CoV-2, the causative agent of COVID-19. A tool aiming at the detection, quantification, characterization and modelling of the virus through testing in wastewater treatment plants (WWTP) will also be developed.
The e-Covig project, led by the Institute for Systems and Robotics / Técnico, includes an app and a wearable device to monitor COVID-19 patients. The app allows to track COVID-19 symptoms and creates automated notifications for healthcare professionals if the problem gets worse.
The project INTAKE – INtegrating mobility daTa into spAtial risK modEls aims to help improve the already existing epidemiological models that allow to predict the transmission risk in each region, by integrating individual mobility data provided by telecommunication operators.
The project “SMOCK- Spatial Modelling for mapping COVID-19 risk” aims to reduce uncertainty associated to the risk model developed by CERENA – Centro de Recursos Naturais e Ambiente / Técnico and make the models available to decision makers, for a more insightful real-time management on the ground.
The project “SARSChip- On-chip testing of SARS-CoV” is a portable and universal diagnostic system that aims at using and interpreting COVID-19 test results in a simplified way. The system is being developed in Técnico/ INESC-MN laboratories, allowing molecular diagnosis of the new coronavirus and serological analysis of patients.
The project “Maré” – Anonymous Mobilization of Return to normality to mitigate the covid-19 epidemic – is a versatile platform for digital tracking of people that can be used to respond to the various problems caused by the pandemic – and not only – and protects the privacy of citizens.
What if it was possible to detect whether someone has COVID-19 or not, just from the sounds of their coughing or talking? This is the main goal of the project “Detecção de COVID-19 a partir de tosse e fala” (“COVID-19 detection from coughs and speech”), developed by a team of researchers from Instituto Superior Técnico and INESC-ID.
The DeepPathCOVIDx project aims to develop a solution that will assist healthcare professionals in the analysis of chest X-ray images. A multidisciplinary team is developing a solution consisting of AI models for the analysis of chest radiography of patients suspected of having COVID-19, in an emergency context.