# team-channel-team 142

Reduces potential risk to healthcare workers by a factor about 250 according to comorbidities published, could be applied to whole working population with potentially huge economic impact.

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John Hopkins University covid-19 data

Divide population in alpha (low risk fraction) and beta (high risk fraction based on personal medical history

Used comorbidity reports from Istituto Superiore di Sanità, Rome (17-20-26 March 20)

confirmed covid-19 data from most exponentially growing countries underestimated by large factor, 10 to 100x

Mortality of covid-19 quite well known from S Korea and China (outside Hubei)

versusvirus.ch extremely useful to establish valuable contacts, thanks

Analysis of alpha and beta fractions of working population, economic impact analysis

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