Pharmageek

Minority populations disproportionately suffer from the effects of COVID-19, as evidenced
by nearly three times the infection rate and one to two times the death rate among
Black, Indigenous, and Latino people compared with White people.1 Although some assume
that these disparities are rooted in genetic differences between racial or ethnic
groups, they are more likely a result of structural inequalities. Minority groups
tend to live in densely populated areas, have limited access to health care, and have
higher rates of comorbidities, among other factors, that put them at greater risk
for infection.

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Annoncé en décembre 2020 à grand renfort de superlatifs, le projet Prédict-Est, présenté comme un « outil d’aide à la décision » destiné aux politiques, n’a pas vraiment tenu ses promesses de prédiction de l’évolution de l’épidémie de Covid.

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Our study showed that passively collected sensor data from consenting participants
can provide real-time disease tracking and forecasting. With a growing population
of wearable technology users, these sensor data could be integrated into viral surveillance
programmes.

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At the onset of the COVID-19 pandemic in early March, 2020, it became apparent that
non-electronic exposure investigations would not meet the demands required by the
mounting number of employees with COVID-19 in the Mount Sinai Health System in New
York City (NY, USA), a multicentre, academic medical institution and hospital system.
New York City was an epicentre early in the pandemic, resulting in a peak of more
than 6000 cases daily and more than 1000 deaths per day.1 Agile exposure investigation
and contact tracing were crucial to containing the spread of COVID-19 among hospital
staff.

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