Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
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Updated
Jun 7, 2024 - Python
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
Novel Coronavirus 2019 time series data on cases
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
Automatisierte Impfterminbuchung für www.impfterminservice.de
An agent-based simulation of corona and other viruses in python
Open-source repository containing examples and documentation for the Cognizant XPRIZE Pandemic Response Challenge
Daily time-series epidemiology and hospitalization data for all countries, state/province data for 50+ countries and county/municipality data for CO, FR, NL, PH, UK and US. Covariates for all available regions include demographics, mobility reports, government interventions, weather and more.
Automated Python Script to retrieve vaccine slots availability and get notified when a slot is available.
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
Help welcomed if you have expertise in public health web technology, data modeling and munging, or visualization.
Data preprocessing scripts and preprocessed data storage for COVID-19 Scenarios project
This is the code running in AWS Lambda powering covid-api.mmediagroup.fr/v1. The API provides realtime and historical data on Coronavirus COVID-19 confirmed cases, deaths, and recovered cases. This API has now been called over 40 million times, thank you!
Python package to fetch information regarding the novel corona virus provided by Johns Hopkins university and worldometers.info
COVID19 Api based on Johns Hopkins CSSE data
This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.
Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.
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