Coronavirus - The big data response

We’ve gathered a collection of resources related to the analysis of COVID-19 data. These include mapping the spread of the virus, GitHub data repositories, some of the datasets currently being used as well as how people are using R and Python to help understand the virus. We are continuously updating this list as more information becomes available. If you have a resource to add to the list, email us at ocean@sagepub.com.

Like many of you reading this, the SAGE Ocean team are currently adjusting to working remotely. We’ve also included some links we found helpful on how best to manage this change.

Using big data to analyze the coronavirus pandemic

Stats guidelines from the Royal Statistical Society: Definitions, things to look out for, and what to do with the numbers you’re seeing.

Satellite images, internet speed and traffic information tell a whole new story about Covid-19

Information on using user-generated health data from internet search and social media to inform public health and public policy responses. Compiled by Sam Gilbert.

Notice: this is preliminary analysis, has not yet been peer-reviewed and is updated daily as new data becomes available. This work is licensed under a Creative Commons Attribution 4.0 International License. A summary of this report can be downloaded here

We are issuing a call to action to the world's artificial intelligence experts to develop text and data mining tools that can help the medical community develop answers to high priority scientific questions. 

The current coronavirus disease, Covid-19, has been called a once-in-a-century pandemic. But it may also be a once-in-a-century evidence fiasco.

Check out this data on the NY subway. Data from: http://web.mta.info/developers/turnstile.html

Addressing the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab.

How Taiwan used big data, new technologies and heavy handed government to control the spread of the coronavirus

Authorities in China step up surveillance and roll out new artificial intelligence tools to fight deadly epidemic.

Mapping coronavirus

Insights from mathematical modelling are vital to ensuring that authorities can prevent as many deaths as possible. As the COVID-19 pandemic escalates, here’s a look inside the modelling that experts use to try and stay one step ahead of the virus.

The most extensive travel restrictions to stop an outbreak in human history haven’t been enough. They analyzed the movements of hundreds of millions of people to show why. By Jin Wu, Weiyi Cai, Derek Watkins and James Glanz.

Nextstrain is an open-source project to harness the scientific and public health potential of pathogen genome data. 

Bing has put together a dashboard for COVID-19 that pulls all confirmed case numbers and latest news from respective countries/areas.

A resource page featuring data visualizations about the spread of COVID-19 and the public health response.

Interactive map of infections by US county from the University of Chicago and the University of Wisconsin-Madison.

FlowingData explores how we use analysis and visualization to understand data and ourselves.

The purpose of this article on COVID-19 is to aggregate existing research, bring together the relevant data and allow readers to make sense of the published data and early research on the coronavirus outbreak.

Acknowledgements: Steven De Keninck for RK4 Integrator. Chris Olah, Shan Carter and Ludwig Schubert wonderful feedback. Charlie Huang for context and discussion.

To sum it up — #vizresponsibly; which may mean not publishing your visualizations in the public domain at all

Github repositories

Data sources and data collection

Use the interactive web-based map to track cases of the virus around the world

A crowdsourced resource of tools, websites and data for technologists building things related to the coronavirus outbreak.

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 29,000 scholarly articles, including over 13,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community. Participate in the COVID-19 Open Research Dataset Challenge.

Data on global governments’ responses to the COVID-19 outbreak.

A survey of over 22,000 people across all 50 US states takes the temperature of the nation in the midst of COVID-19.

“Data that gives context to the pandemic”: A list of studies that investigate the impacts of COVID-19.

Data and information for COVID-19 modeling compiled by the University of Pittsburgh

Using anonymous, aggregated mobile data sets to advise decision-makers on the efficacy of social distancing measures.

A collaborative document started by Ben Geiger, collating social data relating to the outbreak.

Regularly updated projections and visualizations from the University of Washington Institute for Health Metrics and Evaluation.

Compiled from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Designed to assist hospitals and public health officials with understanding hospital capacity needs relating to COVID-19.

Details and visualization of ongoing global clinical trials, by Kishore Vasan.

Using R and Python to help understand the outbreak

Quarantine advice

Take it from someone who couldn’t: Go outside.Mr. Kelly is a retired NASA astronaut who spent nearly a year on the International Space Station.

Helpful tips on managing anxiety and your mental health during quarantine.

 Here is a guide to staying safe and cheerful if you can’t leave the house

Tips and advice on managing stress and anxiety from the Centers for Disease Control and Prevention

Also from SAGE

 

Free medical, social, and behavioral science articles on COVID-19

Social Science Space: Collection of the latest blog posts on COVID-19

Free resources to help you transition to teaching online