27/01/2021

Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology

The COVID-19 pandemic has resulted in massive disruptions within health care, both

directly as a result of the infectious disease outbreak, and indirectly because of

public health measures to mitigate against transmission. This disruption has caused

rapid dynamic fluctuations in demand, capacity, and even contextual aspects of health

care. Therefore, the traditional face-to-face patient–physician care model has had

to be re-examined in many countries, with digital technology and new models of care

being rapidly deployed to meet the various challenges of the pandemic.

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27/01/2021

Technology: the nexus of climate change and COVID-19?

We are in the midst of dual crises: COVID-19 and climate change. Both have led to
a substantial loss of life, disproportionately affected vulnerable and disadvantaged
individuals, and pushed some health-care systems to the maximum. The 2020 report of
The Lancet Countdown on health and climate change emphasises the need for responses
to these crises to be aligned, in order to tackle them successfully. What role can
technology play in helping us win these battles?

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

27/01/2021

Online health survey research during COVID-19

Your inbox probably has more invitations to join online health research surveys than
before the COVID-19 pandemic. Online surveys have become an important tool for COVID-19
research when conventional survey methods are not feasible. Yet the response to COVID-19
has also underlined the urgent need for high-quality behavioural data. Is the trend
towards online health survey research an indication of practices to come or a stark
reminder of the perils of convenient sampling methods? This Comment examines unique
opportunities associated with online health research surveys, challenges in implementing
and interpreting data from online surveys, and considerations for getting the most
out of online health research.

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

27/01/2021

Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter

On July 27, 2020, former US President Donald Trump retweeted to his then 84 million
Twitter followers an online video, published by the Breitbart website, promoting misinformation
about the anti-malarial drug, hydroxychloroquine.1 The video, featuring Dr Stella
Immanuel and a group called America's Frontline Doctors, falsely claimed that the
combination of hydroxychloroquine, zinc, and azithromycin (an antibiotic) could cure
COVID-19.1 Twitter subsequently removed President Trump's retweet, temporarily suspended
and removed tweets from his son, Donald Trump Jr, and removed and suspended other
accounts sharing this false information as a violation of its COVID-19 misinformation
policy.

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

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