Course on nowcasting and forecasting of infectious disease dynamcis
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Updated
Nov 12, 2024 - R
Course on nowcasting and forecasting of infectious disease dynamcis
A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.
Understanding, evaluating, and improving forecasts of infectious disease burden
Code used in the analysis of the effective reproduction number and the dispersion parameter of SARS-CoV-2.
Code from idealized SIRS-ENSO model and weather data-SIRS model
Estimating reproduction number and dispersion parameter from sequence cluster size distribution.
Materials for the in-person "Modelling for Pandemic Preparedness and Response" Modular Shortcourse
Code used to produce results and figures for BA Pathology project on the prospects of a BCG vaccine program in Great Britain. Developed by Joanna Vieira O'Neill, University of Cambridge.
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