Epidemiological Data Analysis

Contents:

• Clusterization of time series (Python version)
  • Function get_lag()
  • Function lag_ccf()
  • Function plot_matrix()
  • Function plot_xcorr()
  • Function compute_clusters()
• Epidemiological Indicators
  • Calculating the posterior prevalence distribution
  • Incidence rate
  • Relative Risk or Risk ratio
• Forecasting time series with Ngboost regressor (Python version)
  • Class NGBModel()
  • Method train_eval()
  • Function plot_val()
  • Method train()
  • Method forecast()
  • Function plot_forecast()
• Preprocessing data (Python version)
  • Function build_lagged_features()
  • Function preprocess_data():
  • Function get_targets()
  • Function get_next_n_days():
  • Function lstm_split_data():
  • Function normalize_data():