WHO is gathering the latest scientific findings and knowledge on Coronavirus disease (COVID-19) and compiling it in a database. We update the database daily from searches of bibliographic databases, hand searches of the table of contents of relevant journals, and the addition of other relevant scientific articles that come to our attention. The entries in the database may not be exhaustive and new research will be added regularly.
Research and Development on Therapeutic Agents and Vaccines for COVID-19 and Related Human Coronavirus Diseases
Coronavirus Free Access Collection from Cambridge University Press
🇫🇷🔗https://github.com/MyrtoLimnios/covid19-biblio Repository of a selection of papers related to COVID-19 outbreak operated by Centre Borelli (ENS Paris-Saclay, CNRS, Université de Paris, SSA) Data maintained in English.
Get the insights you need on COVID-19. Access the world’s leading research and late-breaking news on this rapidly evolving health emergency.
✉️https://twitter.com/natematias J. Nathan Matias (Cornell University, Communication
✉️https://twitter.com/alexleavitt Alex Leavitt (Facebook Research, Health Integrity)
This international list tracks new social science research about COVID-19, including published findings, pre-prints, projects underway, and projects at least at proposal stage.
An open database to store and provide access to scientific articles. The data is machine readable.
Quickly understand the scientific progress in the fight against COVID-19. Using the most advanced NLP algorithms, read summaries and discover trends in the latest research papers and the conversations around them. Every 24hrs.
Call for chapters for new book: Data Science for COVID-19, edited by Utku Kose, Deepak Gupta, Victor Hugo C. de Albuquerque, Ashish Khanna, to be published by Elsevier. Submission deadline April 30, 2020.
Free Elsevier's free health and medical research on COVID-19
A list of papers on the impact of Coronavirus, arranged into categories and subcategories. Technical Tools & Resources
COVID-19-review - A collaborative review of the emerging COVID-19 literature.
Google scholar search for 'Coronavirus'.
The link collates the Johns Hopkins experts output in analyzing and fact sheets related to COVID-19 outbreak. The following resources will be routinely updated.
Lancet Comments and correspondence from the medical research community relating to the corona outbreak.
The NIH curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 3761 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access.
List of Peer Reviewed Publications.
A journal which publishes negative results
Coronavirus Free Access Collection from Oxford University Press
Anonymous research to examine evidence regarding (1) the SARS-CoV-2 virus was present at a biolaboratory in Wuhan, China, and (2) the SARS-CoV-2 virus was introduced into the greater Wuhan population by an infected lab worker or animal. (Published
Community board on ResearchGate containing latest research, discussions and expert findings concerning COVID-19
These Science journal articles provide rigorous and timely research, analysis, and news coverage of COVID-19 and the Coronavirus that causes it.
Springer Nature is committed to supporting the global response to COVID-19 enabling fast and direct access to the latest available research, evidence, and data. Access to 19,000 artcicles.
This microsite provides links and references to all relevant COVID-19 research articles, book chapters and information that can be freely accessed on Taylor & Francis Online and Taylor & Francis ebooks in support of the global efforts in diagnosis, treatment, prevention and further research into COVID-19.
This is a live database of funded research projects across the world related to the current COVID-19 pandemic. By providing an overview of research projects mapped against the priorities identified in the WHO Coordinated Global Research Roadmap: 2019 Novel Coronavirus, we aim to support funders and researchers deliver a more effective and coherent global research response.
More than 5,000 Coronavirus related articles freely available in support of the global efforts in its diagnosis, treatment and prevention.
A platform serving research communities. It maintains a searchable global directory of the scientific resources available on the societal and human impacts of the Covid-19 pandemic. It shows who works on what, where, in real time, at global level.
Review pre-prints related to COVID-19. Consider reading through submissions, providing feedback, and flagging any concerns.
A website dedicated to reviewing the literature on cardiovascular and metabolic health related to COVID-19 outbreak
A new website showing a timeline of landmark COVID-19-related preprints, including their short summaries
Preprint platforms facilitate discourse about COVID-19, Science by The Lancet
Outbreak Science Rapid PREreview is a web application for open, rapid reviews of outbreak-related preprints.
On this platform you can find rapid reviews of existing preprints, request reviews of preprints (your own, or preprints you are interested in), review preprints.
The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has highlighted the need for antiviral approaches that can target emerging viruses with no effective vaccines or pharmaceuticals. Here we demonstrate a CRISPR-Cas13-based strategy, PAC-MAN (Prophylactic Antiviral CRISPR in huMAN cells), for viral inhibition that can effectively degrade RNA from SARS-CoV-2 sequences and live influenza A virus (IAV) in human lung epithelial cells.
Researchers working under DARPA’s Pandemic Preparedness Platform seek to create instant, short-term countermeasures.
Can you use sewage to monitor the level of the virus in an area?
Provides information about the genomics of the virus, very pretty but very technical.
Molecular dynamics simulations (run on our Anton 2 supercomputers) under a CC-BY license to assist other researchers working to understand SARS-CoV-2 and develop therapies for COVID-19 (various animations in thread)
The virus is muting all the time and its DNA fingerprint can let us understand how is evolving from country to country. Contains a list of resources associated with DNA fingerprinting analysis.
This article highlights the pros of using saliva as a medium for detection for SARS-CoV-2 in Coronavirus patients.
Seasonality of Respiratory Viral Infections. March 2020
An Italian academic has claimed striking evidence that most people infected with covid-19 show no symptoms but are still able to infect others, which he says has huge implications for testing policy, particularly in hospitals.
Recommendations for sterilization of face masks, supply chain shortage mitigation and links for healthcare professionals.
Map clusters of diseases to tackle multimorbidity: article defines at risk groups for severe COVID-19 infection
An observational cohort study, primary research article. Epidemiology/Medicine by The Lancet: Infectious Disease
It remains unclear how these unprecedented interventions, including travel restrictions, affected COVID-19 spread in China. We used real-time mobility data from Wuhan and detailed case data including travel history to elucidate the role of case importation in transmission in cities across China and to ascertain the impact of control measures. primary research article
A range of case fatality ratio (CFR) estimates for COVID-19 have been produced that differ substantially in magnitude.
Epidemiological evidence for two separate strains of SARS-CoV-2 viruses spreading and implications for prevention strategies
Article on COVID-19: High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 (EID Journal, Volume 26, Number 7—July 2020; Early Release)
Turbulent Gas Clouds and Respiratory Pathogen Emissions: Potential Implications for Reducing Transmission of COVID-19, JAMA, March 26, 2020
Many viruses require reduced sulfhydryl groups for cell fusion and entry. Corona viruses, including SARS-CoV-2 (the cause of the condition now named coronavirus disease 2019 or COVID-19), are rich in cysteine, which residues must be intact for viral activity. Sulfhydryl groups are vulnerable to oxidation. Ozone therapy, a very inexpensive and safe modality may safely exploit this critical vulnerability in many viruses, inclusive of SARS-CoV-2.
COVID-19 found in wastewater, good way to monitor in population
TIME Article on developments for a vaccine. 14 April 2020.
‘It’s something I have never seen’: How the Coronavirus hijacks cells
This is a peer reviewed paper detailing major new work on a SARS-CoV-2 protein interaction map that reveals targets for drug re-purposing. Nature article, printed on 30 April 2020.
Reddit for research.
We're a community seeking to improve prioritization, collaboration, reproducibility, and funding of scientific research
Open platform to support your research and enable collaboration.
include research ideas, experiment designs, discussion of preprints, evaluation of published work, information on past work and discussions of its relevance now, moving from research to policy, and methods and tools.
Reconfiguring behavioral science for crisis knowledge management. How can the behavioral science community be most effective in responding to the present global COVID–19 crisis? What kind of science can we do, and how should we go about doing it?
This initiative brings together the human genetics community to generate, share and analyze data to learn the genetic determinants of COVID-19 susceptibility, severity and outcomes.
eLife works to improve research communication through open science and open technology innovation
JoeDocs is a tool that allows for meaningful global collaboration. Users can easily create editable websites so anyone can contribute to open-source projects and tackle difficult challenges.
OpenCovid19 is a JOGL program that develops open-source and low-cost tools and methodologies that are safe and easy to use in response to the COVID-19 pandemic. The OpenCovid19 program is powered by a global community of 4000+ volunteers and experts who create solutions to better prevent, detect, and treat COVID-19, and to help forecast the pandemic’s evolution.
This project aims to develop a quick way to detect COVID-19 in Xray and CT scans using artificial neural networks.
Get answers to complex scientific questions related to COVID-19
Graphs about number and category of posts to different preprint servers.
Data Sources: The above 3 preprint servers via: https://github.com/lbrierley/epi_preprint
AnVIL – an Analysis, Visualization, and Informatics Lab-space for democratizing genomic data access, sharing and computing across large genomic-related data sets.
A new platform that allows anyone to see how a scientific paper has been cited - not just how many times but specifically, if it has been supported or contradicted.
On this platform you can see how research articles on Coronavirus have been cited and if they have been supported or contradicted. For example https://scite.ai/reports/10.1101/2020.01.25.919787
Pipeline for detecting gene mentions from pathway figures in the literature. 1.1M gene mentions in 60k figures so far from 1995-2019. Almost 5000 gene mentions found in 216 pathway figures from the CORD-19 dataset. Repo includes raw OCR, identified genes and initial characterization under CC0 waiver.
Causaly’s relationship database was co-created for Novartis, and maps all biomedical literature, including related Corona diseases, most likely targets and potential treatments. Causaly’s dataset has been provided to the Global Health Drug Discovery Institute (GHDDI) to support COVID-19 research. If you are a researcher or health official for COVID-19 research, reach out on the details above.
A platform to help healthcare professionals, scientists, and public health officials ask questions and get answers, answers sourced from 7,000+ peer-review and pre-print research papers and guidelines and commentary from the CDC, WHO, and other experts.
Benchling is undertaking several initiatives to support researchers and health care workers on the front lines of the COVID-19 crisis. We are collecting research resources such as sequences and protocols, centralizing donation requests from the scientific community, and offering the Benchling platform pro bono for COVID-19 testing.
An Open-Source COVID-19 Spread Detection and Vaccine Mapping Framework. Details the challenges faced when innovating to combat Coronavirus.
Free analysis of SARS-CoV-2 genomics data. One Codex is offering free analysis and support for groups sequencing SARS-CoV-2 strains, including both clinical and public health laboratories.
AI segmentation tool and algorithm trained on a compilation of COVID-19 radiology images
Join the slack channel first as this is much more active than website
Open source virus sequence tracker. Use visualisations to show pathogen evolution. Open issues, some of them marked as `good first issues`:
🔗 https://github.com/orgs/nextstrain/projects/5 from a quick glance skills required are Python and JS
Sequence and strain info from GISAID. Provides a publicly accessible database designed by scientists for scientists, to improve the sharing of influenza data.
dedicated link to COVID-19 resources from JoVE: Advancing research by making and publishing videos of scientific experiments from the top laboratories around the globe
Free products and services being offered to people working on Coronavirus
Delve (transcript analysis and synthesis tool) is offering a free 6-month membership for Coronavirus-related studies.
Research Data Capture Platform made free for those researching COVID-19. Get in contact using the details above.
Allows analysts, researchers, and business users to make better and faster decisions using data that was previously inaccessible or unusable.
Providing tools to identify and combat the lethal strain of COVID-19
HPC_Drug a python middleware to automatize computational drug disco. It is still in an early stage but it is already being used to calculate binding free energy for a set of small molecules on SARS-CoV-2 proteins.
Anyone in need of virtually unlimited high performance computing resources with no queue, for a special offer in this time of need. Rescale has been used to accelerate gene sequencing for customized patient care and a variety of intervention technology designs. Choose one of the ~400 software packages or bring your own solver.
The purpose of this document and GitHub organization is to serve as a way for different groups who are doing biomedical relation extraction / knowledge modeling / curation / pathway modeling in the COVID-19 space to share resources and discuss improvements to their interoperability.
The U.S. National Institutes of Health has detailed key priorities and strategic plans for Covid-19 research. The four key priorities: understanding the disease; developing diagnostics; testing treatments; and developing vaccines.
This National Academy of Sciences video update hosted a diverse panel to speak to the whole experience on dealing with this pandemic—from US to international, to the state of diagnostic, treatment and vaccine development, to the importance of communication. Filmed on 25 April 2020.
Real-time dashobard of Covid-19 clinical trials which provides a visual representation of the evidence network of clinical trials of that are of the top 15 interventions. See the description in The Lancet (https://www.thelancet.com/pdfs/journals/landig/PIIS2589-7500(20)30086-8.pdf)
This platform is a home for randomized clinical trial protocols that are available for collaboration:
In the context of public health emergencies... study teams should be encouraged to collaborate on existing, ongoing protocols rather than starting new, independent trials.
🔗https://www.who.int/emergencies/diseases/novel-coonCOVID-19 Registered Trials
COVID-19 trials registered up to 8 March 2020—an analysis of 382 studies. By Jeffrey K Aronson, Robin E Ferner, Nicholas DeVito, Carl Heneghan/MGlobal Coronavirus COVID-19 Clinical Trial Tracker
A COVID-19 clinical trials registry to collate all trials. The dashboard includes a world map of clinical trials, an interactive treatment network, a cumulative distribution graph of the number of interventions, and a cumulative distribution graph of expected enrolment by treatment.BAt volunteer database is a US-based database of scientists that are able to volunteer their time, expertise, equipment and consumables.
Please help us rapidly and efficiently peer-review new research on COVID-19
Database of scientists who are Columbia University's volunteering help
Video podcast which highlights two to three recent scientific papers about COVID-19 and talks about where you might be able to contribute your skills. Created by Columbia University's Department of Biomedical Informatics.
Summary of Human Computer Interaction panel discussion
Research questions for effective altruists to focus on.
This subreddit seeks to facilitate scientific discussion of this potential global pub lic health threat.
The COVID-19 Therapeutics roadmaThe p is a crowd apeutics roadmap
source project, tracking the development of potentially life-saving treatments against the novel Coronavirus
This game empowers people to find patterns.
🔗https://www.analysismode.com/ce (AI) to predict vaccine formulas
y collecting recordings of speech, cough, and breathing of both infected and non-infected people to try to detect the virus via acoustic modelling.
All (Washed) Hands on Deck: How to Help Yourself & Others Right Now wit
nvitation to scientists to volunteer on a testing proje
ResearchHub is a community seeking to improve prioritization, collacts.
boration, reproducibility, and funding of scientific research. Our goal is to make a modern mobile and web application where people can collaborate on scientific research in a more efficient way, similar to what GitHub has done for sof hardest problems.
Sage Health’s open source competition to find potential Coronavirus treatments by machine learning. Page has descriptions of the methodology and datasets used by the three winners, and links to github repositories of their code.
Challenge to develop text mining tools to extract data from a machine-readable literature collection.
An open source, collaborative citizen science project to understand whether our wearable devices can be used to predic when we're sick!
By downloading [email protected], you can donate your unused computational resources to the [email protected] Consortium, where researchers are working to advance our understanding of the structures of potential drug targets for 2019-nCoV that could aid in the design of new therapies. The data you help generate will be quickly and openly disseminated as part of an open science collaboration of multiple laboratories around the world, giving researchers new tools that may unlock new opportunities for developing lifesaving drugs.
Papers pulled out by the FoldingHome project.
Folding at home is a project started at Stanford University, also involving many other top universities and laboratories all around the world, and that uses our computing power to help study the process of protein folding so as to aid research on various diseases, including many forms of cancer, Alzheimer's, Huntington's and Parkinson's.
🗣 Twitter: https://twitter.com/the_zooniverse / online forum:
Online citizen science platform with over 2 million registered volunteers who have participated in hundreds of projects on a variety of topics, including biomedical research and time-sensitive projects for e.g. disaster relief. Specialities include advanced pattern detection in images and other datasets, and interfaces with machine learning algorithms in a variety of disciplines. If you have a dataset that urgently needs help sorting through, get in touch. They have expertise in building effective projects that collect results at expert-level accuracies. Some research councils have told us funding is available to support this work.
Young Foundation launches UK-wide programme to understand the impact of COVID-19 on communities.
Fundings and G
NSERC Alliance COV
🔗https://www.nserc-crsngences and EngineerinID
g Research Council (NSERC) of Canada offers grants of up to $50,000 to university researchers collaborating with private-sector, public-sector or not-for-profit organizati
Crowdfunding for highly impactful causes
Informing the Public on
In recent years traditional journalism has experienced a collapse, and science journalism has been a major casualty. One potential remedy is to encourage scientists to write for news media about science.
This guide is a living document. More content will be added as new information and resources become available and as the COVID-19 situation develops. Last updated: May 21, 2020.
Science communication can't be left just to journalists. Researchers and Medical experts must communicate to the public too.
Skype a Scientist matches scientists with classrooms around the w
Skype a Scientistod!
Help wikipedians edit the relevant pages surrounding the Coronavirus pandemic. Here’s a handy tutorial for beginners.
A list of scientists and organisations with
pre-print publishing, slack, twitter -Restoring the culture of doing research - outbreak changes how scientists communicate, lay article.
Who to followepertise who are themselves highly followed by experts
The Federation of American Scientists, the New Jersey Office of Innovation and the Governance Lab have developed an COVID-19 Ask-A-Scientist ChatBot service, which is powered by volunteers.
National Academies of Science, Engineering and Medicine (NASEM) ha aive developed the Jennifer COVID-19 Chatbot. You can sign up as a volunteer to help answer questions and expand the ChatBot’s knowledge base.
A list of scientists and organisations with expertise who arehemselves highly followed by experts
Aggregated forecasts on critical COVID-19 questions including global epidemlogy, testing and tracking, medical interventions, government policy, economy and business, social and political impact, and clinical science.
r is a futurist. He is currently posting every 1-2 days about Coronavirus and higher education.
ssing problems. This page presents all our content related to the COVID-19 crisis and other useful resources. It covers key information about the crisis, how to use your time and money to tackle it effectively, ideas on how to personally cope, and how to use your career to help prevent future pandemics.cision-making stuff
A research project to understand why citizens do/don’t enact key public health behaviours that can slow the spread of the novel Coronavirus.
Using infrared camera images t🔗https://err.ersjournals.com/content/28/152/190011ntehttps://support.owlstonenanotech.com/hc/en-us/community/topics?_ga=.172014691.1757891918.1583628709-1120005712.158362870920005712.1583628709
I have multiple methods to screen images, I have found indicators specific to COVID-1on long range military optics. Using the sensor (gyroscope, accelerometer) data in your phone to detect cough pattern via algorithm, based on how phone is being held, or microphone to listen/apply AI to cough with distinguishing characteristics to pneumonia specific to COVID-19 - Also Smartphone or other Breath Biopsy to detect
See CRISPR guide RNA design tutorial here for the spike (S) protein
Collaborative research document investigating potential tactics and strategies to combat COVID-19 transmission and human susceptibility through exploiting its apparent sensitivity to seasonal conditions. Is it possible to recreate these conditions - whatever they are - out-of-season?
a. mass vaccination against influenza (less doubt re: flu symptoms)
b. vaccinate against pneumonia (reduce complications that many die from)
c. design a very cheap, fast test to roll out en masse (see S-Korea)
d. efficient tracking of who has it and with whom they have been in contact (see China)
e. local sustainable production of ventilators/masks.
For c. People are working on better identification at genetic level. More is possible re smartphone-based testing from symptoms. Ex: animals can be tested for disease on the basis of their sounds. Try powerful ML to analyze coughs (frequency + intensity), temp, facial change, other characteristics easily measurable w mobile phones -- to estimate the probability of corona.
For d. Think of linking existing gps data to an app, as in many asian countries: what’s a v we could use comfortably?