By default, this returns a day-to-day rolling summary (timeseries) of all stats at the national level.
Method | URI |
---|---|
GET | /reports |
{
"province": "All",
"data": [
{
"date": "2020-03-24",
"change_cases": 661,
"change_fatalities": 3,
"change_tests": 7743,
"change_hospitalizations": 49,
"change_criticals": 19,
"change_recoveries": 74,
"change_vaccinations": 0,
"change_vaccinated": 0,
"change_boosters_1": 0,
"change_vaccines_distributed": 0,
"total_cases": 2806,
"total_fatalities": 27,
"total_tests": 110989,
"total_hospitalizations": 146,
"total_criticals": 70,
"total_recoveries": 186,
"total_vaccinations": 0,
"total_vaccinated": 0,
"total_boosters_1": 0,
"total_vaccines_distributed": 0,
},
...
]
}
When All, report includes data from all provinces and represents a national view.
An array of daily reports. Note the prefix for all reporting stats.
Y-m-d
formatParameter | Type | Description |
---|---|---|
fill_dates | Boolean | When true , the response will fill any missing dates in-between with blank entries. Can be useful for some visualizations. |
stat | String | Reports only on the set statistic e.g. recoveries |
date | Date | Reports only on a single date e.g. 2020-01-01 |
after | Date | Returns reports on or after the specified date. |
before | Date | Returns reports on or before the specified date. If after is provided, this defaults to today. |
reports?stat=tests&fill_dates=true
Filter the data to the province level by providing a province code e.g. SK
. All parameters are supported.
Method | URI |
---|---|
GET | /reports/province/:code |
reports/province/ab
Filter the data to the health region level by providing a Health Region UID (hr_uid) e.g. 3527
. All parameters are supported.
Method | URI |
---|---|
GET | reports/regions/:hr_uid |
reports/regions/3527
In contrast to other stats which report cumulative and daily change, the hospitalization and criticals data are census data. This means that total_hospitalizations
actually indicates the current number of people in hospital with COVID-19. Similarly, total_criticals
indicates the current number of people in ICUs with COVID-19.
The change_hospitalizations
and change_criticals
similarly indicate the change in occupation from one day to the next. For example, an increase of 50 does not mean that 50 individuals were admitted to hospital on a given day; rather it means that the net change in people receiving care in hospital increased by 50.
A final note of importance is that criticals are a subset of hospitalizations, and hospitalizations include those receiving both inpatient and critical care.