Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
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Updated
May 15, 2024 - Python
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
🦠 Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)
Models of COVID-19 outbreak trajectories and hospital demand
Nextstrain build for novel coronavirus SARS-CoV-2
COVID-Net Open Source Initiative
Folding@home COVID-19 efforts
🫁 The world's first open-source ventilator tested on human patients. Mass-producible at a low cost (~2000€).
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
query stats of infected coronavirus cases
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Ran…
Real-time updates and information about key SARS-CoV-2 variants, plus the scripts that generate this information.
Ultra-deep search for novel viruses
A global collection of Open Source projects during COVID-19
Viral genome alignment, mutation calling, clade assignment, quality checks and phylogenetic placement
Unified COVID-19 Dataset
Gemäß Impfverordnung sind alle Impfdaten täglich dem Robert Koch Institut (RKI) zu melden. Die Impfkampagne wurde in ihrem Verlauf um immer weitere Leistungserbringer erweitert, für die mehrere Meldeportale eingerichtet wurden, die in diesem Dokument beschrieben werden.
PyRoss: inference, forecasts, and optimised control of epidemiological models in Python
V-pipe is a pipeline designed for analysing NGS data of short viral genomes
COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can…
COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT
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