PERK-Walkthrough

Introduction

The aim of PERK is to predict and visualize concentrations of pharmaceuticals in the aqueous environment.

PERK acronym for Predicting Environmental concentration and RisK, is an R/Shiny application tool, aims to facilitate automated modelling and reporting of predicted environmental concentrations of a comprehensive set of pharmaceuticals derived from a wide range of therapeutic classes with different mode of action.

The tool helps users,

Data sources:

Prescription Data For England:

This tool uses the prescription data from PrAna, an R package to calculate and visualize England NHS prescribing data.

The data used in PrAna are as follows,

WWTP Data:

The following dataset are provided from WWTP collaborators,

API properties

Workflow

The workflow in this tutorial consists of the following steps, as in the Figure 1.

Figure 1: PERK Workflow

Figure 1: PERK Workflow

PERK Features

Figure 2. PERK: Features

Figure 2. PERK: Features

Upload Data

Figure 3. PERK: Upload Data

Figure 3. PERK: Upload Data

Table 1. Upload Data: Data Input
Part Remarks
1 Analysis and Visualisation (AV) Panel
2 Full screen
3 Dark and Light mode
4 Plot settings
5 Data selection Area
6 Upload File Button
7 Download Template for the file
8 User Logout

Predicted (PC)

Predicted: Prescription

Figure 4. Predicted: Prescription - AV Panel.

Figure 4. Predicted: Prescription - AV Panel.

Table 2. Predicted: Prescription Sub-Panel
Part Remarks
1 Analysis and Visualisation (AV) Panel
2 Full screen
3 Dark and Light mode
4 Plot settings
5 Plot generated based on user selection
6 Analysis and Visualisation settings (AVS) panel
7 User log-out
8 Download buttons to download the generated plot as .pdf or .eps and data as .csv format
9 Show Datatable
Figure 6. PC: PNDP.

Figure 6. PC: PNDP.

Predicted: Predicted Concentration

Figure 7. Predicted: Predicted Concentrations - AV Panel.

Figure 7. Predicted: Predicted Concentrations - AV Panel.

Table 3. Predicted: Predicted Concentrations Sub-Panel
Part Remarks
1 Analysis and Visualisation (AV) Panel
2 Full screen
3 Dark and Light mode
4 Plot settings
5 Plot generated based on user selection
6 Analysis and Visualisation settings (AVS) panel
7 User log-out
8 Download buttons to download the generated plot as .pdf or .eps and data as .csv format
9 Show Data table
Figure 8. PC: concentration/month.

Figure 8. PC: concentration/month.

Figure 9. PC: concentration/period.

Figure 9. PC: concentration/period.

Measured (MC)

Figure 10. Measured: Measured Concentrations - AV Panel.

Figure 10. Measured: Measured Concentrations - AV Panel.

Table 4. Measured Panel
Part Remarks
1 Analysis and Visualisation (AV) Panel
2 Full screen
3 Dark and Light mode
4 Plot settings
5 Plot generated based on user selection
6 Analysis and Visualisation settings (AVS) panel
7 User log-out
8 Download buttons to download the generated plot as .pdf or .eps and data as .csv format
9 Show Datatable
Figure 11. MC: concentration/month.

Figure 11. MC: concentration/month.

Figure 12. MC: concentration/period.

Figure 12. MC: concentration/period.

Predicted vs Measured

Predicted vs Measured: Predicted vs Measured

Figure 13. Predicted vs Measured: Predicted vs Measured - AV Panel.

Figure 13. Predicted vs Measured: Predicted vs Measured - AV Panel.

Table 5. Predicted vs Measured: Predicted vs Measured Sub-Panel
Part Remarks
1 Analysis and Visualisation (AV) Panel
2 Full screen
3 Dark and Light mode
4 Plot settings
5 Plot generated based on user selection
6 Analysis and Visualisation settings (AVS) panel
7 User log-out
8 Download buttons to download the generated plot as .pdf or .eps and data as .csv format
9 Show Datatable
Figure 14. PCvsMC: PEC-I.

Figure 14. PCvsMC: PEC-I.

Figure 15. PCvsMC: PEC-II.

Figure 15. PCvsMC: PEC-II.

Predicted vs Measured: Prediction Accuracy

Table 6. Predicted vs Measured: Prediction Accuracy Sub-Panel
Part Remarks
1 Analysis and Visualisation (AV) Panel
2 Full screen
3 Dark and Light mode
4 Plot settings
5 Plot generated based on user selection
6 Analysis and Visualisation settings (AVS) panel
7 User log-out
8 Download buttons to download the generated plot as .pdf or .eps and data as .csv format
9 Show Datatable
Figure 17. PCvsMC: PA-I.

Figure 17. PCvsMC: PA-I.

Acknowledgements

This package was built as a part of the Wastewater Fingerprinting for Public Health Assessment (ENTRUST) and Innovative Pathway Control (IPC) project funded by Wessex Water and EPSRC IAA (grant no. EP/R51164X/1).

Disclaimer

We accept no liability for any errors in the data or its publication here: use this data at your own risk. You should not use this data to make individual prescribing decisions.