epi-center

epi-center
We aim to build an open data exchange and modeling toolkit for responsible epidemiology.

by John Urbanik

Participating to challenge(s): Covid19 Prevention, Data analysis and simulation

Created on: March 30, 2020 / Last update: May 26, 2020
Interested in
3Good Health and Well-being
9Industry, Innovation, and Infrastructure
11Sustainable Cities and Communities
Skills
Epidemiology
Public health
Computational modeling
Data engineering
Data science
13
Members
5
Needs
  • Short Name: #epicenter
  • Status: Active/Ongoing

We would like to build a toolkit that makes building 'responsible' epidemiological forecasting models easy and computationally efficient. It should make sane assumptions about variable distributions, include ways to integrate many types of empirical data in a straightforward way, allow for sensitivity analysis and understanding of uncertainty, capture possible dynamics of different types of suppression, mitigation and control tactics.


With sufficient resources, we would also try to design systems that maintain up to date, easily ingestible, empirical data on population level statistics ranging from demography and network connectedness on a granular level to granular public health data.


Please see https://github.com/epi-center/planning for a more detailed proposal.

Loading spinner