Awesome

awesome-covid19-resources

A curated list of awesome resources related to COVID19.

Contents

• Datasets and models
  • Medical imaging
    • Imaging datasets
    • Medical imaging models
  • Epidemic data and models
    • Case datasets
    • Government pages
    • Dashboards
    • Statistical models
• Selected scientific articles
  • Medical imaging papers
  • Epidemic papers
  • Clinical record analysis
  • Computational drug research
• Contribute
• License

Datasets and models

Datasets and machine learning models related to COVID-19.

Medical imaging

• Pneumonia related Kaggle Datasets - A collection of medical imaging (chest X-ray or CT) datasets and other resources.

• Coronavirus disease 2019 (COVID-19) article on Radiopaedia

• Italian RX scans of COVID-19 cases

Imaging datasets

This section collects COVID-19 and pneumonia related chest x-ray datasets.

TorchXrayVision is a python library of chest X-ray datasets and models providing a standardized interface for some of the datasets listed below.

Medical imaging models

Articles, blog posts describing a proposed model:

• COVID-19 Detection Neural Network (COVNet)
• Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning
  • COVID-10 detection in X-ray images using deep learning and Grad-CAM visualisation - Derived work on the interpretability of the results.
  • Deep Learning for Medical Imaging: COVID-19 Detection - Ported the above model to MATLAB.
• Using Deep Learning to detect Pneumonia caused by NCOV-19 from X-Ray Images
  • COVID-19-Scanner model from the article
• BIMCV-COVID-19 model
• COVID-Net Open Source Initiative

Epidemic data and models

Collection of case datasets for analyzing the dynamics of the outbreak.

Case datasets

^[1] Fields explanation:

1. Positive cases
2. Recovered cases
3. Deaths
4. Hospitalized patients
5. Patients in intensive care unit
6. Cases in home confinement
7. COVID-19 tests made

^[2] provinces for China, US, Canada, Australia

Government pages

Official pages for monitoring the national outbreaks with reported cases. English version is provided, if found.

Americas

• Brazil
• Canada
• Mexico
• United States

Asia

• Isreal
• Singapore

Australia and Oceania

• Australia
• New Zealand

Europe

• Austria (in German)
• Belgium
• Denmark (in Danish)
• Estonia
• Finland
• France (in French)
• Germany (in German, see this page for situation reports in English)
• Hungary
• Ireland
• Italy (in Italian)
• Netherlands
• Norway
• Poland (in Polish)
• Portugal (in Portuguese)
• Spain (in Spanish)
• Sweden (in Swedish)
• Switzerland
• United Kingdom

Dashboards

Dashboards visualizing the dynamics of the outbreak in different geographic areas.

Worldwide

• Johns Hopkins University
• WHO
• Worldometer

Country level

• Canada - Case level dashboard about the COVID-19 outbreak in Canada, curated by COVID-19 Canada Open Data Working Group
• Isreal - Government dashboard for monitoring the COVID-19 outbreak in Israel (in Hebrew)
• Italy - Official dashboard for monitoring the COVID-19 outbreak in Italy, provided by Civil Protection of Italy
• Portugal - Official dashboard for monitoring the COVID-19 outbreak in Portugal, provided by the Public Health Department of Portugal
• Singapore - Unoffical but extremly extensive dashboard for monitoring the COVID-19 outbreak in Singapore at case-level, provided by @zp_uca
• Spain - Official dashboard for monitoring the COVID-19 outbreak in Spain, provided by the Instituto de Salud Carlos III

Statistical models

• COVID-19 Dashboards - Extensive collection of dashboards, diagrams and other visualizations as well as statistical models of the COVID-19 outbreak.
• COVID-19 Health System Capacity - Open geospatial work to support healthcare systems' capacity in the United States.
• Epidemic calculator - An interactive visual calculator demonstrating the relations between different epidemic variables.
• COVID-19 Scenarios - A planning tool for COVID-19 outbreaks in communities across the world.

Selected scientific articles

A collection of scientific papers related to COVID-19 relevant from the data science point of view.

• COVID-19 Open Research Dataset - A free resource of over 29,000 scholarly articles about COVID-19 and the coronavirus family of viruses
  • Call to action of the US government on this dataset
  • Kaggle challenge associated with the dataset

Medical imaging papers

Computer Tomography (CT) images

• Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
• Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
• Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
• Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia
• A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)
• Coronavirus Disease 2019 (COVID-19): A Perspective from China - A study discussing the use of different diagnosis tools (CT, x-ray) for early detection of COVID-19

Epidemic papers

• A Poisson Autoregressive Model to Understand COVID-19 Contagion Dynamics
• Relationship between the ABO Blood Group and the COVID-19 Susceptibility

Estimating the proportion of asymptomatic cases and transmissibility

• Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2)
• Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020
• Evolving Epidemiology and Impact of Non-pharmaceutical Interventions on the Outbreak of Coronavirus Disease 2019 in Wuhan, China
• Estimation of the asymptomatic ratio of novel coronavirus infections (COVID-19)
• Clinical presentation and virological assessment of hospitalized cases of coronavirus disease 2019 in a travel-associated transmission cluster
• SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients

Clinical record analysis

• Prediction of criticality in patients with severe Covid-19 infection using three clinical features: a machine learning-based prognostic model with clinical data in Wuhan
• Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner

Computational drug research

• Repurposing Therapeutics for COVID-19: Supercomputer-Based Docking to the SARS-CoV-2 Viral Spike Protein and Viral Spike Protein-Human ACE2 Interface

Contribute

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License

To the extent possible under law, Neosperience and other contributors have waived all copyright and related or neighboring rights to this work.