
Carla Mavian
Research Assistant Scientist
University of Florida
The MIDAS Coordinating Center has curated a collection of more than 300 digital resources relevant to COVID modeling. The Data Catalog includes datasets, software, dashboards, catalogs, and repositories described with rich metadata. Contents of the data catalog will also be made available via an application programming interface in the near future.
This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). It includes the daily number of confirmed cases, recovered cases, deaths, and daily reports related to COVID-19 across the world since 2020-01-21. .
This platform, coordinated by a large team of researchers, aims to build on the experiences of MMODS and the COVID-19 Forecasting Hub and provide a hub to bring together more than 10 COVID-19 models to produce longer-term, 6-month scenario projections of SARS-CoV-2 and COVID-19 in the US. These scenarios are designed to address the current areas of uncertainty and decision points as the pandemic continues to evolve in the U.S. The goal of long-term projections is to compare outbreak trajectories under different scenarios of what “could” happen, as opposed to offering a specific, unconditional estimate of what “will” happen.
This project, coordinated by Dr. Katriona Shea at Penn State University, combines COVID-19 modeling results from multiple groups into a formal decision analytic framework to support decision-making to mitigate the impact of the pandemic.
Update (12/1/2020): This case study project is complete, and MMODS now contributes to the COVID-19 Scenario Modeling Hub. Please email the project coordinators at mmods@midasnetwork.us for more information.
This platform, coordinated by Dr. Nick Reich at the University of Massachusetts at Amherst brings together over 20 COVID-19 forecasting models into one comparative framework that displays the expected COVID-19 trajectory 4 weeks out and compares forecasts to data retrospectively.
For questions or ideas regarding COVID-19 modeling collaborations, contact questions@midasnetwork.us.
Visit the COVID-19 Modeling Collaborations section of this page to view collaborations that are relevant to the MIDAS Network. For questions or ideas regarding COVID-19 modeling collaborations, contact questions@midasnetwork.us.
We encourage community members to contribute resources to the repository and thus support the overall COVID-19 research effort. Contact questions@midasnetwork.us for any questions or ideas for improvements, or to send/request any material to be included.
This rapid pre-review platform enables the community to give feedback on pre-prints coming out with modeling and other analyses of the COVID-19 and other outbreaks. Visit the platform here.
Research Assistant Scientist
University of Florida
Computational Scientist
Argonne National Laboratory
PhD Student
Emory University
Associate Professor
Harvard University
PhD Candidate
Georgetown University
Staff Scientist
U.S. Department of Health and Human Services
Research Assistant
International Vaccine Institute
Postdoc Eployee
University of California San Francisco
Postdoctoral Associate
Yale University
Faculty
Universidad de Santiago de Chile
Epidemiologist/Infectious Disease Modeler
California Department of Public Health
Professor
University of Washington
Assistant Professor
University of Louisville
PhD Student
Tulane University
Acting Assistant Professor
University of Washington
Professor
Northwestern University
PhD Student
Emory University
Professor
Universidade de Aveiro
Assistant Professor
Johns Hopkins University
Distinguished University Professor of Health Science and Policy
University of Pittsburgh
Senior Scientist
Epistemix
Epidemiologist
Emory University
Associate Professor
Ohio State University
Associate Professor
University of Colorado Anschutz Medical Campus
PhD Student
Max Planck Institute for Infection Biology
Research Associate
Johns Hopkins University
PhD Student
University of Texas at Austin
Student
University of Maryland
DPhil Candidate
University of Oxford
PhD Student
Johns Hopkins University
Teaching Assistant
University of Ngaoundere
Assistant Professor
Washington State University
Senior Lecturer
Imperial College London
Assistant Professor
Stanford University
PhD Student
University of Massachusetts Amherst
Software Engineer
University of Texas at Austin
Research Assistant Professor
Mount Holyoke College
Postdoctoral Fellow
The Center For Disease Dynamics, Economics & Policy
Professor
University of Southern California
Researcher
Bruno Kessler Foundation
MIDAS Coordination Center
Contact us: questions@midasnetwork.us
Thank you to NIGMS Grant U24GM132013 for supporting the work at the Coordination Center.
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