Finding COVID-19 Information


Last Updated 11/6/2020

Organizations across the globe have put together resources for finding and accessing information about COVID-19. Here is a growing list:

ASCO Coronavirus Resources
Information for cancer patients and physicians from the American Society of Clinical Oncology.

CDC COVID-19 (2019 Novel Coronavirus) Research Guide
A guide to articles, search strategies, statistics, and websites on COVID-19.

Centre for Evidence-Based Medicine Oxford COVID-19 Evidence Service
A selection of clinical questions answered using the highest level evidence available.

Coronavirus Disease 2019 (COVID-19)—For Beginners to Experts
A University of British Columbia resource compiling international resources, database search strategies, and other information.

The COVID-19 & Cancer Consortium
A consortium of over 100 cancer centers and organizations  collecting data about cancer patients who have been infected with COVID-19.

COVID-19 Health System Response Monitor
Offers a cross-country analysis of health system responses and key policy lessons from COVID-19. Focuses primarily on European countries.

COVID-19 Live Literature Searches
The Australian Library and Information Association has developed PubMed searches for COVID-related information and link to results on this page. 

COVID-19 Open Research Dataset (CORD-19)
A free resource of over 29,000 scholarly articles, including over 13,000 with full text, about COVID-19 and the coronavirus family of viruses.

COVID-19 Resource Center
The ECRI Institute offers evidence assessments and other resources for healthcare professionals and patients.
Browsable, downloadable data from the New York State Department of Health. Updated daily.

An openly accessible application that contains publications, data sets, and clinical trials on COVID-19. 

Drugs for COVID-19Recently Added
A collection of resources from The Medical Letter, including a frequently updated table that lists research on clinical effectiveness and safety of drugs and other therapies being considered for COVID-19.

Johns Hopkins University Coronavirus Resource Center
Along with its global map tracking COVID-19 cases, Hopkins now offers breakdowns at the US county level and visualizations of epidemiological trends.

Kaiser Family Foundation – Coronavirus (COVID-19)
State-by-state news, tools, and trackers.

A curated literature hub of COVID-19 articles in PubMed, from the National Library of Medicine.

NIH COVID-19 Treatment Guidelines
Frequently updated guidelines based on published and preliminary data and clinical expertise.

Public Health England
A collection of open-access resources compiled by the PHE Knowledge and Library Services Team.

Society of Critical Care Medicine COVID-19 Rapid Resource Center
Guidelines, strategy documents, checklists, online training, and more.

Synapse – COVID-19
MSK-authored COVID-19 publications.

WHO: Global research on coronavirus disease (COVID-19)
A WHO database of the latest COVID-19 findings.

Journals and Publishers

Journals and publishers are offering portals to their COVID-19 content, some free to all and some available via the Library through remote access:

BMJ Best Practice
The Lancet
The New England Journal of Medicine

Do you need other specific COVID-19 information? Please ASK US!

MSK Publications Added to Synapse in January 2021

The Synapse Team has already added 454 MSK-authored publications (published in 2021) to Synapse, our database of MSK authors and their publications. 

Highlighted here are three articles that are receiving a high amount of online attention. Combined, they appear in 142 news outlets, 863 tweets, and 23 blogs. To view the news stories and tweets, follow the links below and click on the colored Altmetric section on the right. 

The Role of P53 in Radiosensitivity, Cancer in Whales, and More

  • The advent of mining large datasets for cancer data made it possible to discern patterns shared by different cancer types. Therefore, providing an opportunity for applying the approaches proved to be successful in one type of cancer to another type based on the shared characteristics. The method is often used in predicting anti-cancer drug response. Researchers from the University of Michigan Rogel Cancer Center developed a visualization method aimed at improving anti-cancer drug response predictions “by teasing apart and allowing for simultaneous examination of differences across multiple cancer types as well as within individual types”. The method supports an evidence-based approach in making treatment decisions by considering both cancer type and individual variation within that cancer type. This research was published in PLOS Computation Biology.
  • An international team of scientists studied a novel approach to drug discovery, different from the traditional small molecule approach that target only some percentage of proteins active in causing the disease. The new method, aimed at battling the cancer cell drug resistance, “uses a family of human enzymes called ubiquitin ligases that exist in human cells”, which, potentially, can be guided to degrade and kill the disease-causing protein. The study was published in Nature.
  • As cancer radiation therapy efficiency depends on multiple factors, the scientists continue their efforts to understand the biology of tissues sensitivity to radiotherapy. The scientists from the Blavatnik Institute at Harvard Medical School, Massachusetts General Hospital and the Novartis Institutes for BioMedical Research focused their research on the role of a well-known tumor suppressor protein p53. It is long established that p53 is linked to the degree of a tissue’s sensitivity to radiation, but the exact nature of this connection was unknown. This new research found that post radiation exposure, tissues sensitive to radiation show persistent p53 signaling while more resistant tissues show just brief p53 activation. The researchers concluded that it is the dynamics of p53 signaling after radiation that is a factor in the tissues’ radiosensitivity. and not the excess of p53 protein in a tissue. The study was published in Nature Communications.
  • Cancer research is conducted not only in humans but in other species. Cancer research in animals may have potential implications for treating human cancers. In the new study, the international team of scientists focused on whales and the reasons for their low cancer rates. The scientists “used DNA sequencing to create a genetic map of whales’ tumor suppressor genes and those of 15 other mammal species”. This study that contributed to the knowledge of genetic mechanisms of tumor suppression in whales was published in Proceedings of the Royal Society.

Available Upon Request: Towards Meaningful Data Discoverability Webinar

How do we enable data discoverability, linkage, and re-use? Join us for presentations that will answer this question as we explore the importance of FAIR research data to foster transparency, reproducibility, and research integrity.

DateWednesday, March 31
Time12:00 PM – 1:30 PM
LocationZoom Webinar – REGISTER NOW

Elsevier, an early adopter and co-author of the FAIR Data and Data citation principles, has rolled out data sharing policies across its journals. They will provide insights on the implementation of the infrastructure that supports authors with complying with journal and funder data sharing mandates, and will discuss other resources for authors to manage their FAIR data and code.

The MSK Library will highlight their efforts in launching a new service focused on Research Data Management, including collaboration with internal and external stakeholders. They will demonstrate how this initiative facilitates best practices and enhances data discoverability at MSK. Data Stewardship & Integration will cover how this service fits into the overall management of data across the institution.


Sarah Callaghan, PhD, Editor-in-Chief, Patterns, Cell Press, Elsevier
Sarah comes to Patterns from a 20-year career in creating, managing, and analyzing scientific data. Her research started as a combination of radio propagation engineering and meteorological modeling, then moved into data citation and publication, visualization, metadata, and data management for the environmental sciences. She was editor-in-chief of Data Science Journal for 4 years and has more than 100 publications. Her personal experience means she understands the frustrations that researchers can have with data. She believes that Patterns will bring together multidisciplinary groups to share knowledge and solutions to data-related problems, regardless of the original domain, for the benefit of humanity and the world.

Marina Soares E. Silva, PhD, Product Manager, RDM/Mendeley Data, Elsevier
Marina is the product manager responsible for Data and Code Linking in the context of article submission at Elsevier and contributes to internal and external initiatives on article-data linking. Marina has managed several partner relationships with universities testing the Mendeley Data repository with a focus on user research. Additionally, Marina was the Product Manager responsible for delivering a Research Object Composer that enables the publication of complex FAIR data objects in the cloud. This was work in the context of the NHLBI Data Stage project and a joint partnership with researchers at the University of Manchester and with Seven Bridges Genomics. Marina started as a Biology undergrad in Portugal and moved to the Netherlands to complete a PhD in experimental biophysics at the AMOLF Institute. In 2013, after one year as a postdoctoral researcher in Developmental Biology at the MSK/Sloan Kettering Institute, Marina joined Elsevier as Publisher. In this role she focused on improvements to the Peer Review process of the Biomaterials and Nanomaterials portfolio and launched the journal Materials Today Nano.

Anthony Dellureficio, MLS, MSc, Associate Librarian, Research Data Management, MSK
Anthony joined the organization in 2019 to help develop and launch this new service in support of our researchers’ workflow by introducing them to resources that focus on data management plan creation, data discovery, and data reuse. As the service continues to expand, collaboration with researchers, data science industries, and library colleagues will be key to ensure that the Library offers the right data management services. Anthony previously worked as the digital archivist at Cold Spring Harbor Laboratory, rare medical text cataloger at the Johns Hopkins Institute of the History of Medicine, and archivist at the Johns Hopkins Medical archives. Most recently he led the Library and Archives systems team at The New School for about ten years. His academic area of interest is in the history of genetics, and he is a regular reviewer for the Quarterly Review of Biology.

Theodora Bakker, MS, Director, Data Stewardship & Integration, MSK
Theodora has been at MSK for two and a half years as the head of Data Stewardship and Integration, and in 2020 also became the Product Manager for the Unified Data Fabric, an initiative to bring together high quality, standardized data across the MSK missions. Theodora has spent almost 20 years in academic medicine, including as a researcher, an information specialist, and has spent the last 9 years leading data stewardship. She has worked on standardizing and integrating research and clinical data to foster better data sharing for clinical, education, and research purposes, and partners with the MSK Library to achieve that goal throughout cancer care.