eu-ecdc Goto Github PK
Name: European Centre for Disease Prevention and Control
Type: Organization
Bio: An agency of the European Union
Location: Solna, Stockholm
Blog: https://ecdc.europa.eu
Name: European Centre for Disease Prevention and Control
Type: Organization
Bio: An agency of the European Union
Location: Solna, Stockholm
Blog: https://ecdc.europa.eu
The backend to the COVID-19 RShiny app (github.com/EU-ECDC/RShinyCovidApp)
Development of an R package for using colour palettes following March 2018 ECDC guidelines for presentation of surveillance data
Development of various support R code snippets and packages for use for analysis and modelling purposes.
ECDC in collaboration with Epiconcept developed an R package to create epidemiological reports
ECDC in collaboration with Epiconcept developed an R package for monitoring infectious disease surveillance data
ECDC Early warning tool using Twitter data
Development of an R package for Herpes Zoster modeling
Forecasts of invasive pneumococcal disease (IPD). Dynamic regression model based on demography, vaccination coverage, childcare patterns and incidence of IPD and influenza.
Fourth joint inter-agency report on integrated analysis of antimicrobial agent consumption and occurrence of antimicrobial resistance in bacteria from humans and food-producing animals in the EU/EEA
A flexible mixture of experts framework, calibrated with expectation maximisation. Options for mixtures of Gaussians, regression models etc.
Development of an R package for production of the monthly measles and rubella surveillance report
A set of tools to help design a laboratory based prevalence study harnessing the pooling of laboratory samples to increase resource efficiency.
The RShiny app is designed to make three features accessible to the user: 1) Forecasts: Current and previous four-week ahead forecasts of the number of cases in each region (and age group when available), 2) Predictors: The risks of secondary transmission and importations estimated by the model, and 3) Scenarios: The impact of changes in transmission, be it due to more infectious variants, changes in behaviour, or NPIs. These changes in transmission represent the potential impact of control measures on transmission, and should be interpreted with caution in a constantly changing epidemiological situation (impacted for example by behaviour, adherence..). Similarly, this model only considers the epidemiological impact of NPIs, the social or economic costs of different control measures is not considered in this analysis.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.