covid19model - Code for modelling estimated deaths and cases for COVID19.

•    Stan

Code for modelling estimated deaths and infections for COVID-19 from "Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe", Flaxman, Mishra, Gandy et al, Nature, 2020, the published version of our original Report 13. If you are looking for the individual based model used in Imperial's Report 9, Ferguson, Laydon, Nedjati-Gilani et al, please look here.

covid-19-data - An ongoing repository of data on coronavirus cases and deaths in the U.S.

The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak. Since the first reported coronavirus case in Washington State on Jan. 21, 2020, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

covid-19-data - Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

•    Python

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

covid-chestxray-dataset - We are building an open database of COVID-19 cases with chest X-ray or CT images

•    Jupyter

Project Summary: To build a public open dataset of chest X-ray and CT images of patients which are positive or suspected of COVID-19 or other viral and bacterial pneumonias (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo. Lung Bounding Boxes and Chest X-ray Segmentation (license: CC BY 4.0) contributed by General Blockchain, Inc.

COVID-19 - Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL). DATA SOURCES: This list includes a complete list of all sources ever used in the data set, since January 21, 2010. Some sources listed here (e.g. ECDC, US CDC, BNO News) are not currently relied upon as a source of data.

covid19-dashboard - A site that displays up to date COVID-19 stats, powered by fastpages.

•    Jupyter

This project showcases how you can use fastpages to create a static dashboard that update regularly using Jupyter Notebooks. Using fastpages, data professionals can share dashboards (that are updated with new data automatically) without requiring any expertise in front end development. The content of this site shows statistics and reports regarding Covid-19.

covid-19-repo-data - Data archive of identifiable COVID-19 related public projects on GitHub

A comprehensive versioned dataset of the repositories and relevant related metadata about public projects hosted on GitHub related to the 2019 Novel Coronavirus and associated COVID-19 disease. For a view of the latest projects, see the covid-19 topic on GitHub. To preview and interact with the data provided, see the subsection below.

monoloco - A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation

•    Python

This library is based on three research projects for monocular/stereo 3D human localization (detection), body orientation, and social distancing. Check the video teaser of the library on YouTube.

covid3d - 🌏 An interactive 3D visualization of COVID-19.

•    Javascript

3D visualization of latest data regarding coronavirus cases with time travel. Licensed under the GNU General Public License.

covid-19-open-data - Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world

•    Python

The data is drawn from multiple sources, as listed below, and stored in separate tables as CSV files grouped by context, which can be easily merged due to the use of consistent geographic (and temporal) keys as it is done for the main table. 1 key is a unique string for the specific geographical region built from a combination of codes such as ISO 3166, NUTS, FIPS and other local equivalents. 2 Refer to the data sources for specifics about each data source and the associated terms of use. 3 Datasets without a date column contain the most recently reported information for each datapoint to date.

ncov_2019 - An online query App for COVID-19 statistics developed by Flutter was used.

•    Dart

An online query App for COVID-19 statistics developed by Flutter was used.

spider-covid-19-viz-3d - Speedy access to the latest, local COVID-19 data with a familiar interface: the Globe

•    Javascript

The concept of the web page is to show you the current COVID-19 situation around the entire world in 3 seconds or less. @loleg I'm not sure how best to describe this, but what I wish for in an interactive viz like this, is the ability to discover what's hot and happening "out there". For example, the home page of gitter.im has more or less live messages from around the world. I wonder if we could show positive tweets and expressions of hope and gratitude for the courage of health workers around the world.

covid-response-app - This repository focuses on providing a platform/suite of FHIR applications to the community for COVID-19

•    TypeScript

Covid Response App is an open-source COVID-19 repository using Hapi-FHIR as a FHIR server and Angular for front-end application. Thank you for taking the time to contribute. Please feel free to submit an issue or pull request.

covid19-dashboard - Tableau de bord officiel de suivi de l'épidémie de COVID-19

•    Javascript

Cet outil contributif tente de proposer une vision consolidée des données officielles disponibles. Vous pouvez aussi consulter le guide de contribution pour l'ensemble des projets de collecte de données.

monstereo - MonoLoco++ and MonStereo for 3D localization, orientation, bounding box dimensions and social distancing from monocular and / or stereo images

•    Python

MonoLoco++ and MonStereo for 3D localization, orientation, bounding box dimensions and social distancing from monocular and / or stereo images. PyTorch Official Implementation.

coronavirus-tg-api - API for tracking the global coronavirus (COVID-19, SARS-CoV-2) 🦠 outbreak in Togo

•    Python

Provides up-to-date data about Coronavirus outbreak in Togo. Includes numbers about confirmed cases, deaths and recovered. Support unique government source. All endpoints are located at coronavirus-tg-api.herokuapp.com/v1/ and are accessible via https.

Covid19Tracker

•    CSharp

This is a .NET wrapper library around the API provided by @NovelCovid https://github.com/NovelCovid/API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It provides up-to-date data about Coronavirus outbreak includes confirmed cases, recovered, deaths, active, today cases, today deaths, tests and more.

vaccin

•    Javascript

Retrouvez toutes les infos concernant l'extension sur vaccin.click. Merci ! Tout est décrit dans le fichier CONTRIBUTING.md.

busy - Busy is a mouse movement simulator

•    Go

Busy is a mouse movement simulator. It stops your system from going to sleep / idling and makes sure that you keep getting those notifications while you take that well deserved break. Start it up before you move away from your screen. It will send periodic mouse movements to keep the session alive so that you may get any notifications that may not show up if the system goes to sleep during short periods of inactivity.

covid-xray-imagenet - Imagenet Pretraining for Covid-19 Xray Identification

•    Jupyter

This is the supplementary repository for the blog post of the same name. In this repository, we explore the suitability of Imagenet Pretraining for Chast Radiography Images, specifically in the COVID-19 context.