Trending repositories for topic epidemiology
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
BioDynaMo is a high-performance and modular, agent-based simulation platform.
🦠 Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)
Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods, as described in https://doi....
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
BioDynaMo is a high-performance and modular, agent-based simulation platform.
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods, as described in https://doi....
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
🦠 Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)
Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
BioDynaMo is a high-performance and modular, agent-based simulation platform.
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
R package with library of epidemiological parameters for infectious diseases and functions and classes for working with parameters
🦠 Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.
Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods, as described in https://doi....
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
Algorithms from circuit theory to predict connectivity in heterogeneous landscapes
A web platform to detect and analyze variants of SARS-CoV-2
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
R package with library of epidemiological parameters for infectious diseases and functions and classes for working with parameters
BioDynaMo is a high-performance and modular, agent-based simulation platform.
Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
A web platform to detect and analyze variants of SARS-CoV-2
Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods, as described in https://doi....
Machine-readable version of electronic health record phenotypes for Kuan V. and Denaxas S. et al.
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
Algorithms from circuit theory to predict connectivity in heterogeneous landscapes
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
