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Using the infection fatality rate to predict the evolution of Covid-19 in Brazil

Santos Cecconello, M.; Diniz, G. L.; Silva, E. B.

2020-07-02 epidemiology
10.1101/2020.07.01.20144279 medRxiv
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In this work we are going to use estimates of Infection Fatality Rate (IFR) for Covid-19 in order to predict the evolution of Covid-19 in Brazil. To this aim, we are going to fit the parameters of the SIR model using the official deceased data available by governmental agencies. Furthermore, we are going to analyse the impact of social distancing policies on the transmission parameters.

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The top 8 journals account for 50% of the predicted probability mass.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.