Projects and resources related to COVID-19 data analytics research at Ohio State

Data Analytics Projects

Epidemiological statistical aggregate modeling ×

Faculty: Elisabeth Root, Greg Rempala, Joe Tien, Courtney Hebert and Mark Weir

Serving on a Rapid Response Modeling Team working with the Ohio Department of Health and Ohio Hospital Association to forecast COVID timing and peak, hospital loads from COVID, infectious disease dynamics, containment processes on networks and social media, and disinformation and health behavior response.

Agent-based modeling×

Faculty: Greg Rempala, Elisabeth Root, Joe Tien, Courtney Hebert, Mark Weir, Ayaz Hyder, Sam Malloy and Ness Shroff

ServA Recovery Team assisting Ohio Department of Health with COVID monitoring to identify hot spots and resurgence, and with modeling “what-if” scenarios around various aspects of resuming public day-to-day activities.

Fine-scale networking modeling×

Faculty: Ayaz Hyder, Subhadeep Paul, Sam Malloy and Harvey Miller

Working with Columbus Public Health using a model that is running at the Ohio Supercomputer Center and includes mobility data.

Genomics-related research×

Faculty:

Lang Li – multiple projects, including data warehousing for research use

Shili Lin – virus/host interactions

Igor Jouline – coronavirus DNA and protein sequence analysis

Predictive ML/AI at Individual Level×

Faculty: Tanya Berger-Wolf and Srini Parthasarathy 

No results were found.

Other Resources

Ohio State’s Office of Research is compiling information regarding university-wide COVID-19 research, including projects and internal and extramural funding opportunities, other resources.

The College of Public Health’s Center for Public Health Practice provides COVID Connect, a service which can help connect organizations with academic and practice professionals to provide COVID-related assistance with data and information, communication activities and management of current and future community needs of communities dealing with the pandemic.

OSU Data Analytics Resources

Ohio Supercomputer Center×

The Ohio Supercomputer Center is providing unbilled access to computing, storage and high-priority queuing for COVID-19 research projects. To create a project account, email oschelp@osc.edu or call 800-686-6472.

Center for Clinical and Translational Science emergency vouchers×

OSU’s Center for Clinical and Translational Science is providing emergency vouchers to OSU and Nationwide Children’s Hospital investigators to enable preliminary work and generate data for new COVID-19 projects and/or to secure fee-based core services for expert consultation services toward understanding and combatting the pandemic.

No results were found.

National Resources

Microsoft AI for Health COVID research grants (proposals due June 15)×
Microsoft is accepting COVID-19 research proposals for its AI for Health program, which provides recipients with Azure cloud and high-performance computing capacity. Proposals will be accepted through June 15 or until further notice.
IBM's COVID-19 Call for Code Global Challenge (apps due July 31)×

The annual Call for Code challenge asks innovators to create practical, effective, and high-quality applications based on one or more IBM Cloud™ services (e.g., web, mobile, data, analytics, AI, IoT, or weather) that can have an immediate and lasting impact on humanitarian issues. Winning  solutions are deployed in communities that need the most help.

This year’s competition will have two tracks: one for solutions that help halt and reverse the impact of climate change, and one for solutions to mitigate the impact of global pandemics like COVID-19 on communities around the world. The contest seeks coding solutions in the areas of immediate crisis communication, enhanced remote education, or stronger community cooperation.

Funding amount: up to $270K per project

Application deadline: July 31, 2020

More

NIAID emergency awards: Rapid Investigation of SARS-CoV-2 and COVID-19×

The National Institute for Allergy and Infectious Diseases has issued two new expedited funding opportunities for COVID-19 research. Areas of high priority include computational modeling studies to identify and evaluate interventions to protect at-risk populations and for making public health policy decisions for control and mitigation measures. Applications are being accepted on a rolling basis.

PAR-20-177 uses the R21 mechanism

PAR-20-178 uses the R01 grant mechanism

MIDAS network call re improving data access for COVID-19 modeling×

The Models of Infectious Disease Agent Study network seeks input for its work with NIGMS and the NIH Office for Data Science to improve access to datasets for COVID-19 modeling, including clinical records, insurance claims data, COVID-19 surveillance data, and data from technology companies.

Click here for types of data and sources they are currently exploring. The study wants to know if: (1) you are already working with data from some of the sources listed; (2) you know of other high-value sources; and (3) any other feedback. Email MIDAS with your feedback or edit/comment in the slides.

New CADRE fellowship×

The Collaborative Archive & Data Research Environment (CADRE) Project, a cloud-based science gateway to text- and data-mining services for large dataset of which OSU Libraries is a partner, has created a fellowship program for researchers doing work related to COVID-19 or coronaviruses. The Research Cohort for the Study of Coronaviruses program will offer access to Web of Science and Microsoft Academic Graph, technical support and more. Currently there is no deadline for proposals.

No results were found.

Open access resources

List of Data Sources for COVID-19 Transmission Modeling and Forecasting that the Models of Infectious Disease Agent Study is working with

COVID-19 data lake by C3.ai “pre-establishes the important linkages in the disparate COVID-19 data sets sourced from all over the globe, so that researchers can easily navigate and explore the data features that may be of interest (e.g., diagnosis, age, locale, preexisting condition, etc.) and can perform sophisticated data science on those data”

GoogleAI semantic search interface for the COVID-19 Open Research Dataset (CORD-19), which offers more than 50K articles for use by researchers to develop AI techniques to help combat the novel coronavirus

Specialized search engine for scientists working on COVID-19 research from Miso that uses proprietary AI technology

Dedicated Meta page by the Chan Zuckerberg Initiative that tracks new COVID-19 research

U.S. COVID-19 atlas by the University of Chicago’s Center for Spatial Data Science and the UW-Madison Data Science Institute

Free digital library access from the Association for Computing Machinery through June 30

Tools for estimating hospital bed demand from Systems Utilization Research for Stanford Medicine

Curated list of data, modeling and policy resources organized by Mathematica

GovLab living repository for data collaboratives that seek to address COVID-19’s spread and secondary effects and are committed to privacy protection, data responsibility and overall user well-being

Model by researchers at Harvard, Penn and Iowa State showing COVID-19 spread vs. healthcare capacity

GitHub Awesome List of useful projects and resources for COVID-19 by Soroush Chehresa

Beta International COVID-19 forecasting site from University of Oxford, Australian National University and Foretold that includes models, a case map, and containment and mitigation efforts among nations and U.S. states

Global COVID-19 map from healthmap.org

Curated, individual-level epidemiological data published in Scientific Data

U.S. case tracking by a New York Times team

Novel coronavirus genomes, analyses and situation reports from the Nextstrain project

Machine learning use cases involving coronavirus, with papers and datasets, compiled by Towards Data Science

Data and data science resources compiled by the Academic Data Science Alliance

COVID status map produced by Johns Hopkins Center for Systems Science and Engineering

COVID map from the University of Washington Institute for Health Metrics and Evaluation that forecasts regional hospital demands in the face of COVID-19