Using the infection fatality rate to predict the evolution of Covid-19 in Brazil
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Abstract
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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SciScore for 10.1101/2020.07.01.20144279: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources In the minimizing step 3, we are using the fminsearch function from Matlab, and thus, we consider the minimizing steps reaches a local minimum in cases in which the options Tolfun and TolX are less than 1e − 5. 3.1 Capturing social distancing effects: As described in the Introduction, we want also to capture the effects of social distancing over time. Matlabsuggested: (MATLAB, RRID:SCR_001622)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: …SciScore for 10.1101/2020.07.01.20144279: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources In the minimizing step 3, we are using the fminsearch function from Matlab, and thus, we consider the minimizing steps reaches a local minimum in cases in which the options Tolfun and TolX are less than 1e − 5. 3.1 Capturing social distancing effects: As described in the Introduction, we want also to capture the effects of social distancing over time. Matlabsuggested: (MATLAB, RRID:SCR_001622)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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