03/08/2022

Covid long : une intelligence artificielle aide à le reconnaître

Cette IA compare les données médicales d’un patient avant et après qu’il ait eu le covid pour prédire s’il a un Covid long, avec plus de 80% de réussite.

Lire l'article complet sur : www.sciencesetavenir.fr

26/07/2022

Medical professionals use Twitter amplifiers to tackle COVID-19 misinformation

At the beginning of the COVID-19 pandemic, when false information about the virus began to spread on Twitter, physicians and scientists from Northwestern Medicine and other institutions banded together to combat the deadly misinformation and disinformation and support one another when they ultimately were attacked online for doing so.

Lire l'article complet sur : www.news-medical.net

26/07/2022

Crowdsourced predictions for emerging infectious diseases

As of June 22, 2022, 3413 cases of monkeypox from 50 countries have been confirmed

by WHO. Accurate and timely predictions on where and how fast monkeypox might spread

are crucial to control the outbreak, and these could be provided by crowdsourced data.

Such data were essential in characterising and predicting the spread of SARS-CoV-2

during the early stages of the pandemic. Given the promise they show for emerging

infectious diseases, have crowdsourced predictions for such diseases come of age?

Lire l'article complet sur : www.thelancet.com

08/07/2022

Smartphone apps in the COVID-19 pandemic | Nature Biotechnology

At the beginning of the COVID-19 pandemic, analog tools such as nasopharyngeal swabs for PCR tests were center stage and the major prevention tactics of masking and physical distancing were a throwback to the 1918 influenza pandemic. Overall, there has been scant regard for digital tools, particularly those based on smartphone apps, which is surprising given the ubiquity of smartphones across the globe. Smartphone apps, given accessibility in the time of physical distancing, were widely used for tracking, tracing and educating the public about COVID-19. Despite limitations, such as concerns around data privacy, data security, digital health illiteracy and structural inequities, there is ample evidence that apps are beneficial for understanding outbreak epidemiology, individual screening and contact tracing. While there were successes and failures in each category, outbreak epidemiology and individual screening were substantially enhanced by the reach of smartphone apps and accessory wearables. Continued use of apps within the digital infrastructure promises to provide an important tool for rigorous investigation of outcomes both in the ongoing outbreak and in future epidemics. An overview of apps for outbreak epidemiology, individual screening and contact tracing during the COVID-19 pandemic.

Lire l'article complet sur : www.nature.com

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