- How ML6 built a multilingual COVID-19 assistant powered by NLP
- 5 Ways Data Scientists Can Help Respond to COVID-19 and 5 Actions to Avoid
- Coronavirus Disease (COVID-19) – Statistics and Research by Max Roser, Hannah Ritchie and Esteban Ortiz-Ospina, Our World in Data, UPDATED DAILY
- Coronavirus: the new disease Covid-19 explained by SCMP Graphics, South China Morning Post, UPDATED DAILY
- Making sense of COVID19 through simulations, r2d3, March 31, 2020
- How the Virus Got Out by Jin Wu, Weiyi Cai, Derek Watkins and James Glanz, The New York Times, March 22, 2020
- The Korean clusters. How coronavirus cases exploded in South Korean churches and hospitals by Marco Hernandez, Simon Scarr and Manas Sharma, Reuters Graphics, March 20, 2020
- Outbreak by Kevin Simler, Personal Blog, March 16, 2020
- Why outbreaks like coronavirus spread exponentially, and how to “flatten the curve” by Harry Stevens, The Washington Post, March 14, 2020
- How Much Worse the Coronavirus Could Get, in Charts by Nicholas Kristof and Stuart A. Thompson, The New York Times, March 13, 2020
- List of interesting articles created by Tomas Pueyo on Medium:
- Coronavirus: How to Do Testing and Contact Tracing, April 28, 2020;
- Coronavirus: The Basic Dance Steps Everybody Can Follow, April 23, 2020;
- Coronavirus: Learning How to Dance, April 20, 2020;
- Coronavirus: Out of Many, One, April 2, 2020;
- Coronavirus: The Hammer and the Dance, March 19, 2020;
- Coronavirus: Why You Must Act Now, March 10, 2020.
- Covid-19, your community, and you — a data science perspective by Jeremy Howard and Rachel Thomas, fast.ai, March 9, 2010
- Coronavirus cases in Singapore: What we know so far by Chee Wei Xian, Thong Yong Jun, Lee Pei Jie and Tampus Charles, The Straits Time, February 6, 2020
- Літаки і коронавірус. Як Україна та світ закривали небо (Інфографіка) створено Надією Романенко, Texty, April 21, 2020
- Про моделювання поширення COVID-19 створено Богданом Павлишенко, April 2, 2020
- Resource Library by COVID-19 Healthcare Coalition. In this site you can find a various data and insights gathered from healthcare organizations, technology firms, nonprofits, academia, and startups.
- Resource Library by Social Media for Public Health. This page collects links to resources for academics and other investigators, including websites of our collaborators and academic partners, and datasets pertinent to the COVID-19 pandemic.
- Mobility Trends Reports. Apple. Learn about COVID‑19 mobility trends in countries/regions and cities. Reports are published daily and reflect requests for directions in Apple Maps.
- COVID19 Global Forecasting Week 1, Week 2, Week 3, Week 4, COVID19 Local US-CA Forecasting Week 1. In this challenges, you will be predicting the cumulative number of confirmed COVID19 cases in various locations across the world, as well as the number of resulting fatalities, for future dates.
- COVID-19 Open Research Dataset Challenge (CORD-19). Dataset page. Answer key questions using natural language processing to help the world to understand COVID-19 faster.
- Round 1: Submission deadline is April 16, 2020 at 11:59pm UTC.
- Round 2: Submission deadline is June 16, 2020 at 11:59pm UTC.
- COVID-19 Dataset Award 4/03/20, 5/04/20. The goal is to publish datasets that are useful for helping to understand COVID-19.
- Novel Corona Virus 2019 Dataset
- Coronavirus Deep Learning Competition. Announcement. Results
- Coronavirus (Covid-19) Data in the United States. New York Times Case Data: The New York Times is documenting confirmed Covid-19 cases at the county level.
- COVID-19 image data collection. Researchers at the University of Montreal offer a database of labeled Covid-19 chest X-ray and CT images.
- Exponential growth and epidemics by 3Blue1Brown
- Simulating an Epidemic by 3Blue1Brown
- Аналітика даних episode 1 - імітаційне моделювання розповсюдження коронавірусу by Oleksandr Romanko
- NLP COVID-19 Workshop an emergency workshop at ACL 2020. We invite submissions related to any aspect of natural language processing (NLP) applied to combat the COVID-19 pandemic, in an open, rapid review format that will allow this active and late-breaking research to be shared and discussed, July 9-10, 2020
- COVID-19 and AI: A Virtual Conference will address a developing public health crisis, April 1, 2020. Video
- COVID-19 Global Hackathon, March 26-30, 2020. The COVID-19 Global Hackathon is an opportunity for developers to build software solutions that drive social impact, with the aim of tackling some of the challenges related to the current coronavirus (COVID-19) pandemic.
- CS472 Data science and AI for COVID-19. This project class investigates and models COVID-19 using tools from data science and machine learning.
- Коронавірусна інфекція: факти проти паніки on Prometheus
- Science Matters: Let's Talk About COVID-19 by Imperial College London on Coursera
- COVID-19: Tackling the Novel Coronavirus by London School of Hygiene & Tropical Medicine on FutureLearn
- Що треба знати про новий коронавірус? Відповіді на основні запитання про COVID-19 – захворювання, викликане новим коронавірусом створено МОЗ. Офіційний телеграм канал МОЗ
- Daily level information on the affected people from Ministry of Healthcare (Ukraine)
- Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) by Johns Hopkins University (JHU)
- Система моніторингу поширення епідемії коронавірусу створено Апаратом Ради національної безпеки і оборони України
- COVID-19