Pharmageek
L'une des 18 Agences régionale de santé, acteur central dans la lutte contre la pandémie de Covid-19, a été mise en demeure par la Cnil pour la mauvaise gestion du fichier "Contact Covid". Cette base de données sert à détecter les cas contacts et les chaînes de contamination. Une conservation excessive et une absence de sécurisation des données sont à déplorer.
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La perte d’odorat inhérente à la Covid-19 peut durer dans le temps et lourdement handicaper celui ou celle qui en est victime. Mais des chercheurs ...
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Consumer wearable devices that continuously measure vital signs have been used to monitor the onset of infectious disease. Here, we show that data from consumer smartwatches can be used for the pre-symptomatic detection of coronavirus disease 2019 (COVID-19). We analysed physiological and activity data from 32 individuals infected with COVID-19, identified from a cohort of nearly 5,300 participants, and found that 26 of them (81%) had alterations in their heart rate, number of daily steps or time asleep. Of the 25 cases of COVID-19 with detected physiological alterations for which we had symptom information, 22 were detected before (or at) symptom onset, with four cases detected at least nine days earlier. Using retrospective smartwatch data, we show that 63% of the COVID-19 cases could have been detected before symptom onset in real time via a two-tiered warning system based on the occurrence of extreme elevations in resting heart rate relative to the individual baseline. Our findings suggest that activity tracking and health monitoring via consumer wearable devices may be used for the large-scale, real-time detection of respiratory infections, often pre-symptomatically. Analysis of physiological and activity data from consumer smartwatches enables real-time detection, often before symptom onset, of COVID-19, as well as other respiratory illnesses and stress inducers.
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