ProjectTotal score coronavirus covid covid 19 covid-19 covid19 epidemic epidemiology flatten the curve immunology mers novel coronavirus pandemic sars sars cov 2 sars-cov-2 wuhan
COVID-19: Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE 30.57.67.67.67.6
covid19: 東京都 新型コロナウイルス感染症対策サイト / Tokyo COVID-19 Task Force website 26.86.76.76.76.7
covid19: JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily 22.74.54.54.54.54.5
coronavirus: Folding@home COVID-19 efforts 21.05.35.35.35.3
covid19: 新型コロナウイルス（COVID19）の国内における感染の状況を厚生労働省の報道発表資料からビジュアルにまとめた。 21.05.35.35.35.3
covid19_scenarios: Models of COVID-19 outbreak trajectories and hospital demand 21.05.35.35.35.3
COVID-19: 2019 novel coronavirus repository 19.64.94.94.94.9
covid19-dashboard: A site that displays up to date COVID-19 stats, powered by fastpages. 18.94.74.74.74.7
COVID-19: COVID-19 Italia - Monitoraggio situazione 18.56.26.26.2
covid19india-network: :microscope: COVID19 India network cluster 18.14.54.54.54.5
coronavirus: 🦠 Novel Coronavirus (COVID-19) Tracker 17.44.44.44.44.4
covid-19: Novel Coronavirus 2019 time series data on cases 17.44.44.44.44.4
DXY-COVID-19-Data: 2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse 16.95.65.65.6
DXY-COVID-19-Crawler: 2019新型冠状病毒疫情实时爬虫及API | COVID-19/2019-nCoV Realtime Infection Crawler and API 16.95.65.65.6
kotlin-mvvm-covid19: This repository contains simple COVID19 data monitoring with android stack MVVM, Live Data, Koin, RxJava, RxBinding, Offline first with simple caching, etc 16.74.24.24.24.2
cert-covid19: Informationssammlung zum Thema CoVid-19 16.74.24.24.24.2
covid19: an interactive, animated COVID-19 coronavirus map to track the outbreak over time by country and by region for selected countries (including China, Italy, Korea, Japan, France, Germany, United States) 16.04.04.04.04.0
2019-wuhan-coronavirus-data: 2019 Wuhan Coronavirus data (COVID-19 / 2019-nCoV) 15.25.15.15.1
covid19: Analyses about the COVID-19 virus 15.23.83.83.83.8
covid19india-react: Source code of main website 15.23.83.83.83.8
covid-19-api: COVID-19 global data (from JHU CSSE for now) as-a-service 15.25.15.15.1
awesome-coronavirus: 🦠Useful projects and resources for COVID-19 (2019 novel Coronavirus) 14.74.94.94.9
stayinghomeclub: A list of all the companies WFH or events changed because of covid-19 14.14.74.74.7
covid-19-analysis: Covidify - corona virus report generation for python 🦠 13.64.54.54.5
website: COVID 19 Tracking Website 13.14.44.44.4
COVID-19: COVID-19 Detector from x-rays using Computer Vision and Deep Learning 13.14.44.44.4
covid-chestxray-dataset: We are building an open database of COVID-19 cases with chest X-ray or CT images. 10.95.45.4
SEIR_COVID19: SEIR model for COVID-19 infection, including different clinical trajectories of infection 10.33.43.43.4
covid19: SIR code in python to model the spread of COVID-19 9.83.33.33.3
Coronavirus-Epidemic-2019-nCov: 👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒武汉肺炎统计模型预测 8.04.04.0
covid19-cases-switzerland: Data from BAG Tweets made useful. 8.04.04.0
covid_19: COVID19 case numbers Cantons of Switzerland and Principality of Liechtenstein (FL) - case numbers include persons tested in the respective area. The data is updated at best once a day (times of collection and update may vary). Start with the README! Help closing the gaps: 8.04.04.0
hiring2020: Internship status of companies - COVID-19 outbreak 7.33.63.6
nCovMemory: 2020新冠肺炎记忆：报道、非虚构与个人叙述（持续更新） Memory of 2020 nCoV: Media Coverage, Non-fiction Writings, and Individual Narratives (Continuously updating) 7.17.1
covid19za: COVID 19 Data and Dashboard for South Africa 6.53.33.3
CovidCrowd: A crowd-sourcing platform for the Covid-19 Pandemic 5.82.92.9
ncov: Nextstrain build for novel coronavirus (nCoV) 5.35.3
coronavirus-tracker-api: 🦠 A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the 🍼 Flask framework. Supports multiple sources! 5.35.3
API: API for Current cases and more stuff about COVID-19 or the Novel Coronavirus Strain 5.35.3
corona-cli: 🦠 Track the Coronavirus disease (COVID-19) or the Novel Coronavirus Strain in the command line. Both worldwide for all countries, for one country, or for the US States. Fast response time (< 100ms). 5.35.3
CoronaTracker: Coronavirus tracker app for iOS & macOS with maps & charts 5.15.1
coronavirus-tracker-cli: Track conronavirus cases from command line. curl https://corona-stats.online/ 5.15.1
smudge: A lightweight library that provides group member discovery, status dissemination, and failure detection using the SWIM epidemic protocol. 4.94.9
nCov2019: query stats of infected coronavirus cases 4.54.5
deep_learning_coronavirus_cure: Using deep learning to generate novel molecules as candidates for binding with coronavirus protease 4.44.4
coronavirus: The coronavirus dataset 4.24.2
mothur: Welcome to the mothur project, initiated by Dr. Patrick Schloss and his software development team in the Department of Microbiology & Immunology at The University of Michigan. This project seeks to develop a single piece of open-source, expandable software to fill the bioinformatics needs of the microbial ecology community. 4.24.2
coronadatascraper: COVID-19 Coronavirus data scraped from government and curated data sources. 4.04.0
covid19italia: (missing) 4.04.0
plumtree: Epidemic Broadcast Trees 4.04.0
Novel-Coronavirus-Updates: 新增确诊新型冠状病毒肺炎统计数据（每日更新） 3.83.8
covid19pt-data: 😷️🇵🇹 Dados relativos à pandemia COVID-19 em Portugal 3.83.8
open-covid19-test: An open source COVID-19 autoevaluation test that gives you the same results as coronamadrid.com but does not store your valuable data. 3.83.8
covid19-br: Dados diários mais recentes do coronavírus por município brasileiro 3.83.8
chime: COVID-19 Hospital Impact Model for Epidemics 3.83.8
mixcr: MiXCR is a universal software for fast and accurate extraction of T- and B- cell receptor repertoires from any type of sequencing data. Free for academic use only. 3.83.8
virus: Noval Coronavirus Infection Map 3.63.6
Coronavirus-Dashboard: This is a website I made to track the ongoing Coronavirus (nCov2019) 3.63.6
covid19japan: (missing) 3.63.6
covid19-live-visualization: Live visualization of novel corona virus (COVID19) outbreak 3.63.6
covid19-brazil-api: API com dados atualizados sobre o status do COVID-19 🦠 3.63.6
epidemic-broadcast-trees: bandwidth efficient broadcast gossip 3.63.6
epitrix: Small Helpers and Tricks for Epidemics Analysis 3.61.81.8
epipy: Python tools for epidemiology 3.63.6
cbs: Red Cross: Community-Based Surveillance 3.63.6
EpiModel: Mathematical Modeling of Infectious Disease Dynamics 3.63.6
RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning 3.63.6
nCov2019_analysis: Analysis of 2019-nCov coronavirus data 3.43.4
coronavirus-diary: Ethically sourcing data for the fight against disease. 3.43.4
covid-19-spread-simulator: COVID-19 (Coronavirus) Spread Simulator 🦠 3.43.4
covid19_dashboard: This is a dashboard, similar to the one from Johns Hopkins usind open source technology. 3.43.4
vdjdb-db: Git-based TCR database storage & management. Submissions welcome! 3.43.4
korona.ws: 🗺 Coronavirus interactive map of Poland 3.33.3
covid19italia: Condividiamo informazioni e segnalazioni sul COVID19 3.33.3
COVID19: Using Kalman Filter to Predict Corona Virus Spread 3.33.3
epcalc: Epidemic Calculator 3.33.3
wuhan: Modelling of the nCoV-2019 outbreak in Wuhan, China, by Jon Read, Jess Bridgen, and Chris Jewell at Lancaster University. 3.33.3
vdjtools: Post-analysis of immune repertoire sequencing data 3.33.3
open-coronavirus: Open Coronavirus 3.13.1
covid: Covid-19 patients' self-monitoring at home via forms sent by SMS 3.13.1
chime: COVID-19 Hospital Impact Model for Epidemics 3.13.1
Mathematics-of-Epidemics-on-Networks: Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon http://www.springer.com/us/book/9783319508047 . Documentation for the software package is at https://epidemicsonnetworks.readthedocs.io/en/latest/ 3.13.1
basic-epidemic-simulation: A very basic epidemic simulation for educational purposes. This code was made as a part of a YouTube episode on a pop science channel hosted by Najib El Mokhtari. Any enhancements are welcome and unrestricted. 3.13.1
NewsCoverageOnWuhan: Chinese News coverage on Wuhan during the epidemics outbreak 3.13.1
zEpid: Epidemiology analysis package 3.13.1
Python-for-Epidemiologists: Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3 3.13.1
EMOD: Source files for building the IDM EMOD disease transmission model. 3.13.1
coronavirus_dashboard: The Coronavirus Dashboard 2.92.9
dash-opioid-epidemic-demo: US county data for poision-induced deaths, years 1999-2015 2.92.9
migmap: HTS-compatible wrapper for IgBlast V-(D)-J mapping tool 2.92.9
ItalianCovidData: Historical data about Covid19 epidemic in Italy 2.72.7
docker-epidemic-build-env: A Dockerfile to build a development environment for Android version of Epidemic. 2.72.7
EpiFire: A fast C++ API for simulating the spread of epidemics on contact networks. 2.72.7
openmalaria: A simulator of malaria epidemiology and control 2.72.7
IGoR: IGoR is a C++ software designed to infer V(D)J recombination related processes from sequencing data. Find full documentation at: 2.72.7
tcr: [DEPRECATED, see https://immunarch.com/] tcR: an R package for immune receptor repertoire advanced data analysis. 2.72.7
migec: A RepSeq processing swiss-knife 2.72.7
immunarch: immunarch: An R Package for Painless Bioinformatics Analysis of T-cell and B-cell Immune Repertoire Data 2.72.7
coronavirus-tracker: Spring Boot Java app to track coronavirus confirmed cases across the globe 2.52.5
covid19: Code vs COVID-19: Taking down a Pandemic using machines connected globally to extinguish a biological threat of a super virus. 2.52.5
covid19: This is the repository for all of the code that necsi is writing about covid19, along with documentation. 2.52.5
covid19: 兵庫県非公式 新型コロナウイルスまとめサイト 2.52.5
covid19: (missing) 2.52.5
open-epidemic-game: A game about exponential growth written in Haskell 2.52.5
EpiModel-Gallery: Gallery of Network-Based Epidemic Model Templates for EpiModel 2.52.5
epimdr: R package for "Epidemics: Models and data using R" 2.52.5
irida: Canada’s Integrated Rapid Infectious Disease Analysis Platform for Genomic Epidemiology 2.52.5
dismod_mr: An Integrative Metaregression Framework for Descriptive Epidemiology 2.42.4
kendrick: Domain-Specific Modeling for Epidemiology 2.42.4
sscClust: simpler single cell RNAseq data clustering 2.42.4
shiny-iatlas: An interactive web portal for exploring immuno-oncology data 2.42.4
ImmuneSpaceR: An R Interface to the ImmuneSpace database portal 2.42.4
vdjviz: A lightweight immune repertoire browser 2.42.4
learn: RECON learn: a free, open platform for training material on epidemics analysis 2.22.2
sitrep: Report templates and helper functions for field epidemiologists 2.22.2
chronological-map-phenotypes: Machine-readable version of electronic health record phenotypes for Kuan V. and Denaxas S. et al. 2.22.2
epitopepredict: Python package and command line tool for epitope prediction 2.22.2
reconhub.github.io: Official website for RECON - The R Epidemics CONsortium 2.02.0
COVID-19-Epidemic-Dataset: (missing) 2.02.0
epidemic-simulation: A python programme about epidemic simulation 2.02.0
ssb-ebt: secure scuttlebutt replication with epidemic-broadcast-trees 2.02.0
Prediction-of-epidemic-disease-dynamics-using-Machine-learning-model: (missing) 2.02.0
social-distancing-simulator: An artificial simulation of social distancing in the time of an epidemic. 2.02.0
mevr-course-2016: Molecular Epidemiology of Viruses in R 2.02.0
AlertaDengue: Portal de dados do Projeto Alerta Dengue 2.02.0
FluTE: Agent-based influenza epidemic model 1.81.8
SIRtoy: Javascript implementation of an epidemic SIR model 1.81.8
epiphy: Analyzing plant disease epidemics 1.81.8
epidemic: (missing) 1.81.8
antigen: Simulating virus evolution and epidemiology 1.81.8
DSAIDE: R Package - Dynamical Systems Approach to Infectious Disease Epidemiology 1.81.8
zika-epidemiology: Zika Epidemiology - Case Numbers 1.81.8
MicrobeTrace: The Visualization Multitool for Molecular Epidemiology and Bioinformatics 1.81.8
PLP6905: Epidemiology PLP6905 1.81.8
Advanced_epidemiology_course: Material for advanced epidemiology module in MPH 1.81.8
episkills: learn Python for epidemiology 1.81.8
SpatialEpi: R Package of methods and data for spatial epidemiology 1.81.8
epiwidgets: A collection of htmlwidgets handy for epidemiology, etc. 1.81.8
short-course: Model-based Inference in Ecology and Epidemiology 1.81.8
2019GenomicsEpidemiologyWorkshop: 2019 Genomics Epidemiology Workshop at Academia Sinica 1.81.8
WholeGenomesPractical: Whole genomes practical for the SSCM Genetic Epidemiology Short Course 1.81.8
Causal-Inference-in-Epidemiology: Causal Inference in Epidemiology 1.81.8
BSTIM: A Bayesian spatio-temporal interaction model for epidemiology. 1.81.8
Challenge-1757: Predict the Curve Flattening 1.81.8
flatten-the-curve: Agent based 2D virus spread simulation in Python/Qt. For playful investigation on what works best to flatten the curve of the corona virus outbreak 2020. 1.81.8
flatten-the-curve: COVID-19: By the numbers. A Website conveying the importance of early interventions in preventing disease spread. Statically generated and live at flattenthecurve.co.nz. 1.81.8
flatten-the-curve: (missing) 1.81.8
flatten-the-curve: (missing) 1.81.8
SPLATTheCurve: Code used in the "Flatten The Curve" systems demo video 1.81.8
Flatten_the_Curve: Make the chart in Michael Höhle's blog post "Flatten the COVID-19 curve" interactive 1.81.8
social-distancing-simulation: Flatten the curve! 1.81.8
ThemeComponent-Flat: Flatten many curved surfaces 1.81.8
FlattenTheCurve-sk: (missing) 1.81.8
flatten-the-curve: A small site to blog about SARS-CoV-2 guidance 1.81.8
flatten-the-curve: Collection of projects and resources on COVID-19 1.81.8
flatten-the-curve: COVID-19 spread analysis 1.81.8
flatten-the-curve: Static Website for 1.81.8
CurveFlattener: 3D-STL model for opening doors without touching the knobs. #FlattenTheCurve! 1.81.8
flatten-curve-gif: Flatten the curve gif script 1.81.8
ExpFlattener: Flattens the Minecraft EXP gain curve 1.81.8
contagion: Different Scenarios for flattening the Curve 1.81.8
COVID-19-AU: "flattening the curve" in the context of Australia 1.81.8
socialDistanceSim: A simulation of how Social Distancing "Flattens the Curve" 1.81.8
covid19-sim: simulator of virus spread / flattening the curve / herd immunity 1.81.8
covidcurve: Fitting the curve that we are trying to flatten 1.81.8
covid19: Python code - exponential spread of a disease/how to flatten the curve 1.81.8
-WirVsVirus: Herausforderung: 0038 Daten: Wie können wir Daten besser aufbereiten und nutzen? - Predict the Curve Flattening 1.81.8
slowthespread: images and banners to encourage social distancing measures to flatten the curve of COVID-19/ Coronavirus 1.81.8
GutscheinGang: A project, where vouchers can be bought to support local businesses that have big losses during the Corona crisis. Those vouchers are supposed to be redeemed after the crisis and therefore flatten the impact curve of the crisis on those businesses. 1.81.8
Gcode-Corrector-for-Laserbot: Feed this program a gcode file generated with gcodetools for Inkscape. The program will remove the Z-axis and any other extraneous commands that will cause mLaser to get confused. To convert curves to straight lines I recommend using the Inkscape extension, Modify Path > Flatten Beziers. To run, create a local server and serve index.html (I recommend Live-Server). 1.81.8
Unity-RTS-Tweak: Using Unity to develop a real-time strategy game involving tweaking the game balances to reduce complexity and flatten the learning curve associated with it. 1.81.8
sfz-flat: A command line client that "flattens" a .sfz file, removing all the hierarchies and keeping only the regions, curves and control information. 1.81.8
Covid-19_Trends: Using Johns Hopkins Data - Look at top county and top US state death trends over time. Are we flattening the curve? 1.81.8
Immuno_notes: Immunology-related bioinformatics data and tools 1.81.8
immunology-informatics: Immunology Informatics - Big Data Analysis in Immunology - Tutorials 1.81.8
immunedb: ImmuneDB - A system for the analysis and exploration of high-throughput adaptive immune receptor sequencing data 1.81.8
Virus-Game: An award-winning educational Immunology game 1.81.8
ImmuneAging2017: Code for Celia and Nils' immune aging project. 1.81.8
braimmu: Equation-based brain immunology simulator 1.81.8
HumanLiver: R Data: Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations 1.81.8
Immunology-VR: Immunology VR desktop 1.81.8
immunology: Medical system 1.81.8
bearlyunderstanding: ML based prediction of immunogenic neoantigens for immunotherapy 1.81.8
immunoduct: Pipeline for tumor immunology 1.81.8
utilities: A repository of bioinformatics utilities and scripts commonly used in the Steven J. Hallam Laboratory in the Microbiology & Immunology Department of the University of British Columbia (UBC), Vancouver, British Columbia, Canada. 1.81.8
sciReptor: Single-Cell Immunoglobulin Repertoire Toolkit 1.81.8
Immunology-Books: "In whatever disease sleep is laborious, it is a deadly symptom; but if sleep does good, it is not deadly." ― Hippocrates, The Aphorisms of Hippocrates 1.81.8
hlatyping: Precision HLA typing from next-generation sequencing data 1.81.8
ImmunologySpring: Immunology system 1.81.8

Built 2020-03-25 11:10:38.912459 (CSV version for spreadsheets)