@charliekirk11 Here's a paper on it that I doubt you'll read https://t.co/nt2M9krEpI
RT @meganranney: "Early in the pandemic, coronavirus infection rates grew 38% each day, on average, across the six countries: translating t…
RT @meganranney: "Early in the pandemic, coronavirus infection rates grew 38% each day, on average, across the six countries: translating t…
RT @meganranney: "Early in the pandemic, coronavirus infection rates grew 38% each day, on average, across the six countries: translating t…
RT @meganranney: "Early in the pandemic, coronavirus infection rates grew 38% each day, on average, across the six countries: translating t…
"Early in the pandemic, coronavirus infection rates grew 38% each day, on average, across the six countries: translating to a two-day doubling time. Applying all policies at once slowed the daily COVID-19 infection rate by 31 % points!" https://t.co/wepqE0
Excelente estudio publicado en Nature sobre cómo la cuarentena ayudó a disminuir la propagación del Covid-19 en estos países. https://t.co/N6BwGwiKCQ
@MarceloPLima This is from February 24th. The models have changed. See the impact of coordinated policy response on case numbers in various countries: https://t.co/tj83pj4KDD
Y aqui en Panamá ha sido mas importante el dinero q las vidas q se han podido salvar.
@twidark1 @DrGJackBrown You can download the paper here. I doubt the WSJ people even read it. They certainly didn't understand the math behind it (nor did the referees). They literally quoted *parts* of graphs. Not even whole ones. [BAD SCIENCE WARNING]
Siempre han pensado y actuado así!!