Education

Coronavirus: the science explained

Coronavirus: the science explained lays out the evidence and the facts about the virus, the disease, the epidemic, and its control.
This website will be regularly updated with the latest science information behind the coronavirus outbreak.

Dataset

COVID-19 Cognitive City.

Addressing a global pandemic requires global collaboration. To facilitate this, Exaptive, in collaboration with the Bill & Melinda Gates Foundation, has created the COVID-19 Cognitive City.

What is a Cognitive City? It’s a data-centric social network with a goal. The goal of this cognitive city is to stop the spread of COVID-19 and accelerate development of a vaccine.

Dataset

Semantic Scholar – Covid19

In response to the COVID-19 pandemic, 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 45,000 scholarly articles, including over 33,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community.

This dataset is intended to mobilize researchers to apply recent advances in natural language processing to generate new insights in support of the fight against this infectious disease. The corpus will be updated weekly as new research is published in peer-reviewed publications and archival services like bioRxiv, medRxiv, and others.

Resource

COVID-19 Treatment and Vaccine Tracker

This document contains an aggregation of publicly available information from validated sources. It is not an endorsement of one approach or treatment over another but simply a list of all treatments and vaccines currently in development.

Resource

Coronavirus Papers unlocked

5,352 scientific articles covering the coronavirus – fully searchable and free

Dataset

COVID19 by numbers – excellent resource!

[Link for Download] fresh from the press… online open version in eLife tomorrow (02.04.2020) with peer-reviewed constant updating – new mode of publishing.
All verified numbers and explanations relevant to the virus and pandemic progression.
Please join the quest to find relevant quantitative measures as basis for modeling and understanding of the COVID-19 virus and pandemics. Open for your thoughts, numbers and critics on our discussion forum here: https://discuss.opencovid.care/t/covid19-by-numbers/104

Dataset

Epidemiological dataset

Data Descriptor
Open Access
Published: 24 March 2020
Epidemiological data from the COVID-19 outbreak, real-time case information
Bo Xu, Bernardo Gutierrez, Sumiko Mekaru, Kara Sewalk, Lauren Goodwin, Alyssa Loskill, Emily L. Cohn, Yulin Hswen, Sarah C. Hill, Maria M. Cobo, Alexander E. Zarebski, Sabrina Li, Chieh-Hsi Wu, Erin Hulland, Julia D. Morgan, Lin Wang, Katelynn O’Brien, Samuel V. Scarpino, John S. Brownstein, Oliver G. Pybus, David M. Pigott & Moritz U. G. Kraemer
Scientific Data volume 7, Article number: 106 (2020) Cite this article

28k Accesses

1 Citations

158 Altmetric

Metricsdetails

Abstract
Cases of a novel coronavirus were first reported in Wuhan, Hubei province, China, in December 2019 and have since spread across the world. Epidemiological studies have indicated human-to-human transmission in China and elsewhere. To aid the analysis and tracking of the COVID-19 epidemic we collected and curated individual-level data from national, provincial, and municipal health reports, as well as additional information from online reports. All data are geo-coded and, where available, include symptoms, key dates (date of onset, admission, and confirmation), and travel history. The generation of detailed, real-time, and robust data for emerging disease outbreaks is important and can help to generate robust evidence that will support and inform public health decision making.

Citizen Science

Crowdfight COVID19

An initiative from the scientific community to put all available resources at the service of the fight against COVID-19.

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Note: To ensure quality resources, all contributions undergo a peer-review process. There will be a small delay between submission and publishing time. Thank you for your contribution 🧪