CyS Complentary Material: Source Code and Data

This repository contains complementary material to a paper published in Computación y Sistemas (CYS):

A computational approach to find SEIR model parameters that best explain infected and recovered time series for SARS-CoV 2.

Repository structure

The main entry point for the experimental results and source code is the Jupyter Notebook: COVID-SCENARIOS.iphnb. From this, we can find the following sub-structure:

• Folder data contains a .jsonfile with COVID timeseries of several countries downloaded from https://covid19.who.int.
• Folder dnn_opt_seir which is a modified clone of the library dnn_opt used for the optimization of SEIR model parameters.