Course on nowcasting and forecasting of infectious disease dynamcis
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Updated
Dec 9, 2024 - R
Course on nowcasting and forecasting of infectious disease dynamcis
Understanding, evaluating, and improving forecasts of infectious disease burden
A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.
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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