Data and code from COVID-19 machine learning paper

Machine learning approaches for localized lockdown, subnotification analysis and cases forecasting in São Paulo state counties during COVID-19 pandemic.

Sara Malvar, PhD and Julio Romani Meneghini, PhD

Department of Mechanical Engineering, Escola Politécnica, University of São Paulo. Av. Professor Mello Moraes 2231, São Paulo, Brazil.

This repository presents the data, data dictionary and codes used in the analysis of COVID-19 in the State of São Paulo.

• DATA: database used in the analysis after cleaning process and data wrangling. This folder also contains the dictionary of variables and their sources.
• CLUSTERIZATION: notebook and database of clusterization process.
• BENFORD: notebook and databse used for Benford analysis.
• LSTM: notebook of neural network for prediction