• COVID-19 DATABASE: COVID-19: CASISTICA RADIOLOGICA ITALIANA - Italian database with CT images of lungs.
• Coronavirus-Dataset: Dataset of COVID-19 in South Korea - South Korean dataset detailing virus spread routes.
• COVID-19 Open Research Dataset (CORD-19) - dataset with scholarly articles about COVID-19.
• European Centre for Disease Prevention and Control - geographic distribution of COVID-19 cases worldwide
• Data Repository by Johns Hopkins CSSE

Bioinformatics

• SARS-CoV-2 and COVID-19 Pathway (Homo sapiens) - WikiPathways model

Archives

• nCovMemory - Memory of coronavirus: Media Coverage, Non-fiction Writings, and Individual Narratives.
• COVID-19-TweetIDs - Twitter posts related to COVID-19. Described in *[COVID-19: The First Public Coronavirus Twitter Dataset](https://arxiv.org/abs/2003.07372)*.

Archives

• cord-19-tools - David Josephs' pip-installable python package to load the *COVID-19 Open Research Dataset (CORD-19)* dataset. A full load take 5 GB of memory.

Count visualizations

• Visualization of Covid-19 confirmed cases - Interactive ShinyApp visualization by Felix Schönbrodt (@nicebread) et al. with longitudinal confirmed cumulative cases and deaths. Development from https://github.com/nicebread/corona and data from ECDC and Johns Hopkins University.
• COVID-19 case counts - Interactive visualization by [Theo Sanderson](https://twitter.com/theosanderson) of longitudinal COVID-19 cases by country with interactive date offset. Data from Johns Hopkins University.
• EuroMOMO - European monitoring of excess mortality for public health action weekly mortality as deviations from the baseline.
• IHME COVID-19 Projections - Deaths per day per country and projection as well as hospital beds statistics. From Institute for Health Metrics and Evaluation.

Visualizations on maps

• Visual Dashboard - Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) described in *[An interactive web-based dashboard to track COVID-19 in real time](https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(20)30120-1/fulltext)*.

Epidemiological modeling

• Modeling COVID-19 Spread vs Healthcare Capacity - Interactive ShinyApps by Alison Hill with interactive settings of epidemiological parameters and longitudinal visualization.
• Effekten af kontakt restriktioner og rejseforbud på COVID-19 udbrud i DK - Interactive ShinyApps in Danish by Kaare Græsbøll and Elisabeth Ottesen Bangsgaard with various interactive epidemiological variables.

Collections of visualizations

• Observable Topic: "Coronavirus" - A selection of interactive Observable notebooks related to COVID-19 and SARS-CoV-2

Collections of visualizations

• Estimating COVID-19's Rt in Real-Time - Kevin Systrom's notebook
• Stochastic epidemic models - Michael Riis Andersen.
• Hierarchical Logistic Growth Curves - Brynjólfur Gauti Jónsson's Bayesian modeling of daily COVID-19 counts with output at https://bgautijonsson.shinyapps.io/Hierarchical_Report/.

Epidemiological modeling

• Effective containment explains sub-exponential growth in confirmed cases of recent COVID-19 outbreak in Mainland China - Model that captures both, quarantine of symptomatic infected individuals as well as population wide isolation in response to mitigation policies or behavioral changes.

Lung-CT deep learning

• A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)
• Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography: a prospective study in 27 patients
• Deep Learning-Based Quantitative Computed Tomography Model in Predicting the Severity of COVID-19: A Retrospective Study in 196 Patients

Other

• Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner - Description of recurrent neural network predicting 6 respiratory patterns from depth camera data ([Scholia](https://scholia.toolforge.org/Q87745200))