covid-19

Track the global pandemic in real-time. Stay safe and help authorities make correct decisions on COVID-19 measures. Sign up at https://fevermap.net/

Python code for parallel precomputation and visualization of operating characteristics of standard group testing algorithms. Repository provides precomputed data in csv files along with visualizations and an interactive web application.

Bot to publish data about COVID-19 cases, deaths and vaccines on Twitter

Some code to analyze open data from Buenos Aires city related to COVID-19 pandemic.

Analysis of pedestrian activity before and during COVID-19 lockdown, using webcam time-lapse from Cracow and machine learning. YOLOv3 and OpenCV.

Some code to analyse international data from COVID-19 Data Repository by Johns Hopkins CSSE and Argentina outbreak status.

This program finds the most common MeSH terms in a given category of COVID-19 Scientific Research Papers by using the Pubmed API, metamap, postgresql, and python. Uses the CORD-19 public research dataset.

Grafica la movilidad a estaciones de tránsito en CABA

SETM: Simple Epidemic Transmision Models. I work in these models to study the spread of viruses and the effects of contingency measures.

COVID-19 Population Indicator Risk Assessment

Compute a custom ad hoc personal risk and ranking metric of the regions affected by the COVID-19 disease based on the high relevance of tests, population, and actives cases.

CovNCPlot - Plots COVID-19 new cases for a list of countries. Downloads the data from Our World in Data and uses Savitzky-Golay filter for smoothing.

Codemotion - Oracle Hack and Secure the Workplace Hackathon

HealthGuard is an API platform which uses Artificial Intelligence and Machine Learning techniques to perform personal protective equipment and symptoms analysis for a Low-touch Economy

This is a system tray utility for showing App State's COVID statistics. All data is pulled from https://www.appstate.edu/go/coronavirus/.

Display data visualisation(python, plotly) using Flask and Gitlab hosting

S.E.I.R modelling (Susceptible-Exposed-Infected-Recovered) modelling simulation of COVID-19 in South Korea.

A Bayesian SEIR COVID-19 model implemented in Python with pyStan.