Python package for statistical inference and forecast of epi models using multiple signals
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Updated
Jul 3, 2024 - Python
Python package for statistical inference and forecast of epi models using multiple signals
The Flexible Epidemic Modeling Pipeline
Exercise for ESIPDAM course Stochastic epidemic models with inference
An R package and web application for estimating the basic reproduction number (R0) of infectious diseases.
The mathematical modeling of the optimal strategy for influenza vaccination was studied using a transmission dynamics model that considered population movement, province, and age group
Website for the Flexible Epidemic Modeling Pipeline
2010 U.S. Synthetic Population Ver. 1
risk modelling for virbrio infections and estimating the attributable rates
odd ratios estimator and likelihood of occurrence in geographical location
A tool for modeling infectious diseases.
Model of hepatitis C transmission in Norway used in Whittaker, Midtbø and Kløvstad (submitted)
A dashboard for visualising the epidemiological parameters stored in the epiparameter package.
Citeable version is archived on Zenodo
This is the official GitHub organization page for Infectious Disease Modelling Lab at SSHSPH, NUS, Singapore led by Dr. Hannah Clapham.
Farida Hanna Campbell 2023
Gonorrhoea Model Calibration using History Matching
Simulation of the SIR model written in C#. Writes per day outputs to CSV for easy ingestion into a visualizer.
Simulation of a SEIRVD model written in C#. Writes per day outputs to CSV for easy ingestion into a visualizer.
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