Indicators

The visualizations below display different indicators of the CoVid19 pandemic.
Select the locations and categories of interest.

Continent

The plot represents the normalizaed trend in number of cases Daily changes vs total changes in a log plot, for the indicated regions

Total number of cases per day

Daily Changes and Growth Rate

Live map is an interactive map displaying cases around the world
Combined visualization of trends, totals and map distribution of cases

Wastewater UI

Ottawa wastewater data raw
this is the raw wastewater data for Ottawa location. This is based off the following sites:
https://github.com/Big-Life-Lab/covid-19-wastewater
https://613covid.ca/wastewater/
Note that we are displaying the raw ppm values the experiments detect from the analysis. No modelling or analysis
is done on this data in this dashboard.
https://github.com/Big-Life-Lab/covid-19-wastewater/blob/main/data/wastewater_virus.csv
https://github.com/Big-Life-Lab/covid-19-wastewater/blob/main/data/wastewater_site.csv

SIR Model

Generate a SIR (Susceptible-Infected-Recovered) model

CoViD19 Grouping Tree

This page displays various trees of the Covid19 genome TODO need to add more descriptions

WORLD TABLE

World data of all covid cases across the globe

Download

Report

This section can generate reports for the users based on the country and timeseries type selected by the user
Clicking the download button will save the report displayed as a text file.
Download Report

Toronto Latest Data Set

Download

Data Integrity Report

Check the integrity and consistency of datasets
Type I inconsistency: when negative values are reported.
Type II inconsistency: when cumulative quantities decrease.
Clicking the download button will save the report displayed as a text file.
Download Report

COVID19.ANALYTICS Dashboard EXPLORER

Hosted at SciNet HPC: Advanced Reasearch Computing at the University of Toronto
Analytics and Data powered by the 'covid19.analytics' R package

Developers

Amit Sandhel amit.sandhel _AT_ gmail.com

Marcelo Ponce

Acknowledgements

SciNet HPC: Advanced Reasearch Computing at the University of Toronto
Marco Saldarriaga (SciNet/UofT), for all the help setting up this server

References

covid19.analytics Package
covid19.analytics paper

Personal Protective Equipment (PPE) Calculator

This section is capable of calculating the amount of Personal Protective Equipment (PPE) needed by a hospital to safely treat CoViD19 patients.
This calculation is based on CDC's calculation [1].
Note that the CDC calculation was originally designed for Ebola but here it is converted to be used for CoViD19


This panel breaks down the various amount of PPE needed for a single CoViD19 patient based on various hospital staff and hospitalization duration as displayed in a stacked bar chart

This is the advanced setting pages to change each of the various settings. Estimated amount of PPE needed by Role per Shift.
To use the advanced setting adjust the slder for each of the various roles to the desired required of PPE needed.


NURSES

DOCTORS

TRAINED OBSERVER

ENVIRONMENT SERVICES


This section calculates the weekly 7 day burn rate [2] for PPE for a hospital to determine how fast your facility uses PPE.
NOTE if you receive a resupply of PPE do not add it to the calcuator as it will disrupt the calculation. Continue following oriingla supply entered in day 1.
For restock enter a new calculation
To input the data click on the Advanced Setting tab and click the sections and add the data accordingly


Number of boxes of PPE used per day

Number of days supply remaining

Boxes of PPE used per patient per day

Number of Covid19 Patients

Gloves

N95 Mask

Regular Mask

Gowns

Respirator

References:

[1] CDC's Ebola PPE Calculator
[2] CDC's n-CoVid19 PPE Burn Calculator
The following reference to the Healthcare Needs in Ontario is an interactive model to predict healthcare resources specifically in Ontario made and desinged by the University of Toronto and SunnyBrook Hospital
Healthcare Needs in Ontario