Trending repositories for topic epidemiology
🦠 Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
BioDynaMo is a high-performance and modular, agent-based simulation platform.
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
BioDynaMo is a high-performance and modular, agent-based simulation platform.
🦠 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.
BioDynaMo is a high-performance and modular, agent-based simulation platform.
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
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
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)
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....
Algorithms from circuit theory to predict connectivity in heterogeneous landscapes
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
A web platform to detect and analyze variants of SARS-CoV-2
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.
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.
A web platform to detect and analyze variants of SARS-CoV-2
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
Algorithms from circuit theory to predict connectivity in heterogeneous landscapes
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
