COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
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Updated
Apr 11, 2024 - Python
COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
COVID-19 Hospital Impact Model for Epidemics
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
Epidemiology analysis package
Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022
Race and ethnicity Imputation from Disease history with Deep LEarning
Simulating epidemics using Python
Agent-based simulation model for COVID-19 spread in society and patient outcomes
Disease propagation ABM generating SIR, severe cases, and R0 over quasi-time.
Python code for "Tracking R of COVID-19 A New Real-Time Estimation Using the Kalman Filter".
June is a framework for agent based modelling in an epidemiological and geographical context.
EpiTator annotates epidemiological information in text documents. It is the natural language processing framework that powers GRITS and EIDR Connect.
Covid Epidemics Simulation with Simpy
A Mesa-based ABM library for epidemiological (SIR) modeling.
Recognize bio-medical entities from a text corpus
Predicting treatment effects from RCTs (Circulation: CQO 2019).
Multi-stage hierarchical estimation of disease processes on demographic observations
Epidemiological weeks calculation based on the US CDC (MMWR) and ISO week numbering systems
MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling
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