IDAS-Durham / JUNE
June is a framework for agent based modelling in an epidemiological and geographical context.
☆46Updated last year
Alternatives and similar repositories for JUNE:
Users that are interested in JUNE are comparing it to the libraries listed below
- Data and code for COVID-19 NPI effectiveness estimation.☆30Updated 3 years ago
- Create synthetic populations for COVID-19 epidemic analyses.☆46Updated last month
- SpaCE, the Spatial Confounding Environment, loads benchmark datasets for causal inference methods tackling spatial confounding☆17Updated 5 months ago
- A dynamic microsimulation framework for python☆19Updated 5 months ago
- MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture…☆13Updated 8 months ago
- reference implementation of the copan:CORE World-Earth modelling framework☆45Updated last month
- Bayesian inference and posterior analysis for Python☆44Updated last year
- Repository for mini-projects in the Data science for Sustainable development project☆23Updated 10 months ago
- Synthetic Population Catalyst☆23Updated last week
- Website for standards and governance of the Open Modeling Foundation☆51Updated 2 weeks ago
- Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.☆40Updated 5 years ago
- Fast prototyping of infectious-disease models based on reaction equations. Analyze the ODEs analytically or numerically, or run stochasti…☆32Updated 2 years ago
- R package for deriving social mixing matrices from survey data.☆38Updated last month
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆61Updated last month
- Code of PriorVAE: encoding spatial priors with variational autoencoders☆12Updated last year
- Towards a more flexible BART☆22Updated this week
- ☆8Updated last year
- Python framework for simulating tipping cascades on complex networks☆28Updated 5 months ago
- collecting and organizing epidemiological covid-19 data☆11Updated 4 years ago
- Measures of spatial (and non-spatial) inequality☆32Updated 2 months ago
- This contains slides, code, data and reading materials for the the course.☆68Updated 2 months ago
- ☆33Updated this week
- Basic Epidemic, Activity, and Response COVID-19 model☆31Updated 4 years ago
- Since March 2020, the OCHA Centre for Humanitarian Data’s predictive analytics team has worked closely with the Johns Hopkins University …☆22Updated 4 years ago
- Inferring high-resolution human mixing patterns for disease modeling☆45Updated 2 years ago
- ☆54Updated 2 years ago
- Intro to the Linux Command Line (PICSciE)☆17Updated 5 years ago
- OpenAccess papers mined for Climate Change☆30Updated 2 years ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆47Updated last year
- Analysis of COVID-19 transmission using cluster size distribution☆11Updated 2 years ago