Author: Askery Canabarro; Elayne Tenorio; Renato Martins; Lais Martins; Samurai Brito; Rafael Chaves
Title: Data-Driven Study of the the COVID-19 Pandemic via Age-Structured Modelling and Prediction of the Health System Failure in Brazil amid Diverse Intervention Strategies Document date: 2020_4_8
ID: kyy4z4wu_18
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint Table I ) by the total population N , discounted the corresponding number of infected in the age group. Ri(0) = 0 as at the time of writing it was not a significant data (just 6 recovered individuals). It is a common assumption for early stages of the infection, as is the case in Brazil and in many other countries......
Document: is the (which was not peer-reviewed) The copyright holder for this preprint Table I ) by the total population N , discounted the corresponding number of infected in the age group. Ri(0) = 0 as at the time of writing it was not a significant data (just 6 recovered individuals). It is a common assumption for early stages of the infection, as is the case in Brazil and in many other countries.
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