Pour freiner la pandémie de Covid-19, un confinement strict a été institué en France du 17 mars au 11 mai 2020, bouleversant la vie quotidienne de la population. Dès le début du confinement, une enquête répétée de Santé publique France (enquête CoviPrev) a permis de suivre différents comportements de santé. Cet article présente l’évolution perçue des comportements alimentaires pendant le confinement et les déterminants de la prise de poids.
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Google is looking to keep summer vacationers informed about COVID-19 travel restrictions for specific destinations so they can plan ahead.
When users look up flights or hotels in a certain area using Google Search, the site will inform them if there are travel restrictions or advisories. It has recently added a new function that lets users see specific restrictions, like whether they will need to quarantine when arriving at a certain destination or if they need proof of testing.
The new tool lets users get updates about travel restriction changes.
"You can now also track travel advisories or restrictions for your destination and get email updates. If you are signed in to your Google account, you can toggle 'Receive an email if this guidance changes.'
Lire l'article complet sur : www.mobihealthnews.com
Web-based technology has dramatically improved our ability to detect communicable disease outbreaks, with the potential to reduce morbidity and mortality because of swift public health action.
Apps accessible through the internet and on mobile devices create an opportunity to enhance our traditional indicator-based surveillance systems, which have high specificity but issues with timeliness.
Objective: The aim of this study is to describe the literature on web-based apps for indicator-based surveillance and response to acute communicable disease outbreaks in the community with regard to their design, implementation, and evaluation.
Results: Apps were primarily designed to improve the early detection of disease outbreaks, targeted government settings, and comprised either complex algorithmic or statistical outbreak detection mechanisms or both.
We identified a need for these apps to have more features to support secure information exchange and outbreak response actions, with a focus on outbreak verification processes and staff and resources to support app operations.
Conclusions: Public health officials designing new or improving existing disease outbreak web-based apps should ensure that outbreak detection is automatic and signals are verified by users, the app is easy to use, and staff and resources are available to support the operations of the app and conduct rigorous and holistic evaluations.
read the study at https://publichealth.jmir.org/2021/4/e24330
Lire l'article complet sur : publichealth.jmir.org
The enormous pressure of the increasing case numbers experienced during the COVID-19 pandemic has given rise to a variety of novel digital systems designed to provide solutions to unprecedented challenges in public health.
The field of algorithmic contact tracing, in particular, an area of research that had previously received limited attention, has moved into the spotlight as a crucial factor in containing the pandemic.
The use of digital tools to enable more robust and expedited contact tracing and notification, while maintaining privacy and trust in the data generated, is viewed as key to identifying chains of transmission and close contacts, and, consequently, to enabling effective case investigations.
Scaling these tools has never been more critical, as global case numbers have exceeded 100 million, as many asymptomatic patients remain undetected, and as COVID-19 variants begin to emerge around the world.
In this context, there is increasing attention on blockchain technology as a part of systems for enhanced digital algorithmic contact tracing and reporting. By analyzing the literature that has emerged from this trend, the common characteristics of the designs proposed become apparent.
An archetypal system architecture can be derived, taking these characteristics into consideration. However, assessing the utility of this architecture using a recognized evaluation framework shows that the added benefits and features of blockchain technology do not provide significant advantages over conventional centralized systems for algorithmic contact tracing and reporting.
From our study, it, therefore, seems that blockchain technology may provide a more significant benefit in other areas of public health beyond contact tracing.
more at https://publichealth.jmir.org/2021/4/e26460
Lire l'article complet sur : publichealth.jmir.org