Skip to content

smalvar/COVID-clustering

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

About

Data and code from COVID-19 machine learning paper

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published