Disease Facts & Guidance
CDC | General information for healthcare professionals
Yale School of Medicine | Simple illustrated video on the biology of COVID-19 and how it spreads
- American Nurses Association
- American College of Physicians
- ACCME | Novel Coronavirus Education Resources
Research & Guidelines
- LitCovid | Search PubMed's COVID-19 Hub
- CEBM | Rapid reviews COVID-19 pandemic
- Cochrane | Resources on Coronavirus (COVID-19)
- ECRI Guidelines Trust | COVID-19 resource center
- NICE | COVID-19 rapid guidelines and evidence reviews
Taking Care of Yourself at Yale
How to Use PPE
Content available in other languages
World Health Organization (WHO)
All content is available in Spanish, French, Arabic, Russian, and Chinese
American Medical Association | Health Equity Resources
CNN Podcast | Coronavirus: Fact vs Fiction
211 of Connecticut | General COVID-19 Information
CT.gov | Coronavirus Disease 2019 (COVID-19)
FAQs on the State of Connecticut’s actions related to COVID-19 (Updated daily)
- FAQs on the State of Connecticut’s actions related to COVID-19 (Updated daily)
CT Governor Ned Lamont | Twitter and Facebook
New Haven | COVID-19 Hub
- Yale New Haven Health System | COVID-19
The Cushing/Whitney Medical Library developed a public collection of COVID-19 citations to aid the research and clinical practice missions of Yale and the Yale New Haven Hospital.
ACCESS THE COLLECTION (public Zotero library)
Includes daily updates from PubMed, ClinicalTrials.gov, Disaster Lit, and preprints* from bioRxiv and medRxiv.
How we're collecting citations
PubMedCitations of journal articles (strategy includes a daily date limit, too)
covid-19[tw] OR COVID19[tw] OR COVID-19[nm] OR SARS-CoV-2[tw] OR SARS-CoV2[tw] OR severe acute respiratory syndrome coronavirus 2[nm] OR severe acute respiratory syndrome coronavirus 2[tw] OR 2019-nCoV[tw] OR 2019nCoV[tw] OR coronavirus[tw] OR coronavirus[mh]
ClinicalTrials.gov: Clinical trials registrations
COVID-19 OR Covid19 in the “other terms” search box
Disaster Lit: Guidelines, reports, conference proceedings
COVID-19 OR COVID19 OR SARS-CoV-2 OR SARS-COV2 OR 2019-nCoV OR 2019nCoV OR coronavirus
bioRxiv and medRxiv: Preprints*
Utilizing the RSS feed listed here
*Preprints -- which are manuscripts made available prior to peer review -- support the rapid dissemination of information. However, this means that these documents should be critically appraised and monitored for updates.
About the project
This project was developed at the request of Sten Vermund, Albert Ko, and other researchers at YSPH who helped determine the project scope and organization.
For data-related questions, please contact: email@example.com
Click on a title below to expand the section.
Race and Ethnicity Data on COVID-19
The COVID Tracking Project
The COVID Racial Data Tracker is a collaboration between the COVID Tracking Project and the Antiracist Research & Policy Center. Together, we're gathering the most complete race and ethnicity data on COVID-19 in the United States.
COVID-19 Confirmed Cases and Deaths by Race/Ethnicity within Connecticut
The following data show the number of COVID-19 cases and COVID-19-associated deaths per 100,000 population by race and ethnicity.
Bioinformatics Data (proteomic, virology, genomic, etc.)
GenBank Nucleotide Sequences
Provides rapid, open, and unrestricted access to virus nucleotide sequences and is the repository being recommended by NIAID and CDC for investigator and public health submissions. Due to the scale of data indexing, there may be a delay before new submissions are indexed and retrievable with a term-based query.
GenBank Protein Sequences
Provides rapid, open, and unrestricted access to virus conceptually translated protein sequences and is the repository being recommended by NIAID and CDC for investigator and public health submissions. Due to the scale of data indexing, there may be a delay before new submissions are indexed and retrievable with a term-based query.
A discussion forum for analysis and interpretation of virus molecular evolution and epidemiology.
Genomic epidemiology of novel coronavirus (HCOV-19).
Severe acute respiratory syndrome coronavirus 2 data hub
Search, retrieve, and analyze SARS-CoV-2 GenBank data.
Novel 2019 coronavirus genome
The Shanghai Public Health Clinical Center & School of Public Health, in collaboration with the Central Hospital of Wuhan, Huazhong University of Science and Technology, the Wuhan Center for Disease Control and Prevention, the National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control, and the University of Sydney, Sydney, Australia is releasing a coronavirus genome from a case of a respiratory disease from the Wuhan outbreak. The sequence has also been deposited on GenBank (accession MN908947 14.1k)
Human transcriptional responses to SARS-CoV-2 infection.
International database of hCoV-19 genome sequences and related clinical and epidemiological data
NCBI Virus: SARS-CoV-2 data hub
SARS-CoV-2 focused content from NCBI Virus, including links to related resources. Search, filter, and download the most up-to-date nucleotide and protein sequences from GenBank and RefSeq (taxid 2697049). Generate multiple sequence alignments and phylogenetic trees for sequences of interest. Provides one-click access to the Betacoronavirus BLAST database and relevant literature in PubMed.
Sequence Read Archive (SRA)
Provides rapid, open, and unrestricted access to virus nucleotide or metagenomic sequence data and is the repository being recommended by NIAID and CDC for investigator and public health submissions. Due to the scale of data indexing, there may be a delay before new submissions are indexed and retrievable with a term-based query.
Geographically Based Data
Johns Hopkins Dashboard
This dashboard leverages data from a number of national and global sources and monitors the current scenario of COVID-19. Data is available in CSV format, and is available at the country, province, and date levels. GitHub repository containing the code behind the dashboard, as well as the WHO data behind these visualizations
New York Times COVID-19 Dataset
Researchers, students, and others in the Models of Infectious Disease Agent Study (MIDAS) create and use computational models to study transmission dynamics of a broad range of infectious diseases. Many MIDAS members are conducting research on COVID-19 and are contributing to an extraordinary international collection of data and information regarding the outbreak. This site has an affiliated GitHub repository for sharing of computable CSV files with data, software and metadata. Data is available to download in CSV format.
Worldometer provides global COVID-19 live statistics for a wide audience.
Connecticut COVID-19 Data Resources
This data portal provides centralized access to data on the COVID-19 emergency and response, and supplements information available on the state's COVID-19 portal. It includes data on tests, hospitalizations, confirmed cases, deaths, and cases by demographic.
Data on Testing
Our World in Data COVID-19 Testing Dataset
Data on tests related to establishing whether an individual is currently infected. These datasets make comparisons at the country level.
Testing in the US (CDC)
This landing page includes a map of Public Health Laboratory Testing for COVID-19, data on the number of specimens tested for SASRS CoV-2 by CDC labs and U.S. public health labs.
CAS COVID-19 Dataset Properties
The dataset is in SD file format (.sdf) and contains connection tables for nearly 50,000 chemical substances, along with related metadata such as CAS Registry Number® and physical properties for each substance.
Datasets for Machine Learning and Machine Learning Efforts
MIDAS Online portal for COVID-19 Modeling Research
Researchers, students, and others in the Models of Infectious Disease Agent Study (MIDAS) create and use computational models to study transmission dynamics of a broad range of infectious diseases. Many MIDAS members are conducting research on COVID-19 and are contributing to an extraordinary international collection of data and information regarding the outbreak. This site has an affiliated GitHub repository for sharing of computable CSV files with data, software and metadata. GitHub repository
COVID-19 Open Research Dataset (CORD-19)
The Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 29,000 scholarly articles about COVID-19 and the coronavirus family of viruses for use by the global research community. This dataset can be analyzed with Natural Language Processing (NLP) methods.
Data on Response
Oxford Coronavirus Government Response Tracker
This tool aims to track and compare policy responses taking place around the world.
COVID Digital Pathology Resource (COVID-DPR)
The COVID-DPR provides whole slide images of histopathologic samples relevant to COVID-19, including biopsy samples and autopsy specimens. The current focus of the repository includes tissue from the lungs, heart, liver, and kidney. The repository contains examples of H1N1, SARS, and MERS for comparison.