
Sze Man Leung
Research Assistant Professor
Hong Kong University
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 Professor
Hong Kong University
Lecturer
Wolkite University
Assistant Professor
University of Colorado Anschutz Medical Campus
PhD candidate
University of Missouri
PostDoc
Boston University
Mathematics/Statistics/Data Science Faculty
University of Hawaii
Postdoctoral Fellow
Yale University
PhD Candidate
University of Washington
Professor
University of California San Francisco
Associate Member
Fred Hutchinson Cancer Research Center
Postdoctoral Research Fellow
Harvard University
Postdoctoral Fellow
University of Idaho
Postdoc
Centre for Genomic Regulation
PhD Student
Central University of Rajasthan
Professor
University of California Irvine
Professor of Infectious Disease Modelling
London School of Hygiene & Tropical Medicine
Assistant Professor
Columbia University
Research Associate
Boston Children’s Hospital
PhD Student
Boston University
Associate Professor
Harvard University
Assistant Professor
City University of Hong Kong
graduate student
University of Florida
PostDoc
Emory University
Associate Professor
University of Florida
Doctoral Candidate
University of Maryland
Postdoc
University of Pittsburgh
Student
Harvard University
PhD Student
Boston University
Assistant Professor
Northern Illinois University
MIDAS Coordination Center
Contact us: questions@midasnetwork.us
Thank you to NIGMS Grant U24GM132013 for supporting the work at the Coordination Center.
Copyright MIDAS © 2022. All Rights Reserved.