Corona Virus Knowledge Hub

Hacking a Pandemic with Data

The page is currently under development and will be officially launched soon. You are welcome to browse it in the meantime. Your feedback is welcome.

Tracking Global COVID 19 Cases

We are working on developing an in house dashboard to track Global Covid 19 spread, utilizing Data from John Hopkins University  and the WHO.

Watch This SPACE!!

Data Pulled: from JHU CSSE GitHub Page


A database of all data innovations currently underway to tackle COVID, this is compiled by Govlab, there are opportunities to partner with our in house data teams.

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Coronavirus Tech Handbook

This link from We make Change folks lists potential ideas and datasets and resources for creating tools to combat Covid, both hardware and software, we can involve in developing dashboards for predicting the spread, mitigating lockdowns and combatting fake news using sentiment analysis.

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Coronavirus Funding Monitor

Finally, here is a live monitor of funding available for COVID related work.

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Semantic Scholar – CORD-19

The COVID-19 Open Research Dataset (CORD) is one of the most interesting datasets on this I’ve seen. AllenAI teamed up with research groups to compile nearly 30,000 scholarly articles (13,000 full text) related to COVID-19 and the coronavirus family of viruses. There are some great links on the page to further details about the origins of the journal articles and the like, as well as some of the partners that are contributing, including the White House, the Chan Zuckerberg Initiative, Georgetown University’s Center for Security and Emerging TechnologyMicrosoft Research, and the National Library of Medicine of the National Institutes of Health.

Sematic Scholar

Kaggle — COVID-19 Open Research Dataset Challenge

Framed as a call-to-action on the CORD-19 dataset, Kaggle (online community of data scientists and machine learning practitioners) is looking to data scientists and AI/ML experts to “develop text and data mining tools that can help the medical community develop answers to high-priority scientific questions.” Awards are separated into tasks, which can net up to $1,000 per task (either as payment or donation to relief efforts). Very cool. Pro tip: Check out this Reddit thread on the Machine Learning sub-reddit for pointers on this specific challenge.



WHO – Situation reports — Daily reports on the pandemic, in PDF form (confirmed cases, deaths, etc.).


CDC Novel Coronavirus 2019

World Health Organization

DXY Pneumonia 2020

BNO News

National Health Commission of the People’s Republic of China (NHC)

China CDC

Hong Kong Department of Health

Macau Government

Taiwan CDC


Government of Canada

Australian Government Department of Health

European Centre for Disease Prevention and Control (ECDC)

Italy Ministry of Health

Johns Hopkins – Coronavirus COVID-19 (2019-nCoV)

Maybe the most well-known dashboard of COVID-19 floating around right now, built on ArcGIS. From Johns Hopkins University, specifically assembled by the Center for Systems Science and Engineering. More background on the visualization on their blog, as well as a link to their GitHub repository with all the various sources of data. According to its FAQ, the website is currently getting around 1.2 *billion* data requests per day.

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World Health Organization (WHO) – nCoV 2019 situation (public)

The WHO dashboard, similar to the Johns Hopkins example (the JHU dashboard includes the WHO data as well).

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Tableau – Global Dashboard

Tableau has its own Tableau Public dashboard, with solid background and data sources to go along with it. It’s also got links to Tableau’s global community visualizations from experts like CNBC Digital, Kaiser Family Foundation, and more.

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There’s a lot going into all of this — and not everything that will have been created will take in the best data, with the most concern for the nuances of the data itself, or even communicating the right takeaway in the first place. If you’re considering making your own visualization, read this article about some considerations to think of first. Also, this review of dashboards has some really solid links and points in it.

Modeling COVID-19 Spread vs. Healthcare Capacity

This interactive model of healthcare capacity (made with R Shiny,GitHub here) is quite good (and quite unsettling). Really allows you to demonstrate the “flattening the curve” in simulation form and see the resulting effect.

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Observable – Quarantine Now

This page and set of related visualizations are incredible not only for the visual display and interactivity, but because they’re also built in Observable, which leverages Jupyter-like notebooks for exploring data and code in real-time.

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