Intervention coverage tool
intervention-coverage:1
Tool to predict coverage of interventions, such as vaccine or mass drug administration, using georeferenced coverage survey data. Also provides the option to obtain recommendations of further survey sites to improve predictions using spatially adaptive sampling. Customized version of the generic prevalence predictor.
General parameters
Outputs
if predict_to = grid
- Produces a raster (GeoTIFF) of predicted probability of the outcome. See
predict_toparameter for information on defining the resulting resolution/extent.
if predict_to = points
- Produces a csv file of
prediction_pointswith additional columns
prevalence_prediction: point prevalence prediction (i.e. best guess)prevalence_bci_width: 95% prediction interval
If exceedance_threshold is defined, in addition
exceedance_probability: The probability that true prevalence exceedsexceedance_threshold.exceedance_uncertainty: The probability that the predicted class is correct.entropy: The entropy (0-1 scale) associated with each prediction. Higher entropy equates to higher uncertainty in classification.
or predict_to = polygons
- Produces the same metrics/fields as if predicting to points. Resulting file is a GeoJSON.
If batch_size is specified, an additional column adaptively_selected with TRUE or FALSE is added, representing whether the location has been selected adaptively.