Isolat: a data-driven approach to addressing the COVID-19 pandemic

Category: Codes/Software

Abstract/Vision:

IDSS COVID-19 Collaboration (Isolat) is a volunteer collaboration organized by IDSS to provide systematic and rigorous analyses of data associated with the Covid-19 pandemic in order to inform policy makers. Email idss-isolat@mit.edu to collaborate with the group, or with any questions you may have.

Contact: Ahmad Taha



Repository for SEIR models and beyond

Category: Codes/Software

Abstract/Vision:

By coincidence I have become a member of a collection of (German) epidemiologists. They are actively fine-tuning models that describe the outbreak and—more importantly—the evolution of the spread of Covid-19. If you have yourself a model (ODE, agent-based, etc.) consider “donating” the model to the community by making your code part of the repository. Check the GitHub site for more details.

Stay safe!

Contact: tillmann mühlpfordt



Simple Matlab Example of how to download data from the Johns-Hopkins University

Category: Codes/Software

Abstract/Vision:

This Matlab file is a simple example of how to download Covid19 Data
from the Web. In particular, the deaths cases (global) corresponding
to the Covid19 Data Repository by Johns Hopkins CSSE at GitHub
See https://arxiv.org/abs/2004.06111 for other data sets and Open Data Resources to Fight Covid19 (arxiv review paper).

Authors: Teodoro Alamo and Jose Luis Guzmán (members of CONCO-Team).

Code available at https://github.com/CONCO-Team/CONtrol-COvid19-TEAM/blob/master/Death_Cases_JHU_CSSE_Covid19.m

 

 

Contact: Teodoro Alamo