Table 3. Identification of province and territories that are short of samples by healthcare visits populationa,b.
Province/territory | E c | wp(healthcare, t) | d(healthcare, t) |
---|---|---|---|
BC | 34,522 | 1,349 | 593 |
AB | 29,809 | 1,164 | |
SKd | 7,982 | 312 | |
MBd | 9,304 | 363 | |
ON | 99,371 | 3,882 | |
QC | 57,668 | 2,253 | |
NBd | 5,268 | 206 | |
NSd | 6,602 | 258 | |
PEd | 1,068 | 42 | |
NLd | 3,522 | 138 | |
YKd | 277 | 11 | |
NTd | 303 | 12 | |
NVd | 264 | 10 |
Abbreviations: AB, Alberta; BC, British Columbia; MB, Manitoba; NB, New Brunswick; NL, Newfoundland and Labrador; NS, Nova Scotia; NT, Northwest Territories; NV, Nunavut; PE, Prince Edward Island; ON, Ontario; QC, Québec; SK, Saskatchewan; YK, Yukon
a Identification of province and territories that are short of samples by healthcare visits population as based on the number of expected healthcare visits, E, translated into weight points, wp(healthcare, t), and compared to the number of weighted samples d(healthcare, t) needed to detect COVID-19 in the healthcare visits population at p0
b Values are rounded up
c Expected number of samples from healthcare visits at the provincial/territorial level, E, and this number translated into weight points towards detecting COVID-19, wp(healthcare, t)
d Identification of province and territories that are short of samples by healthcare visits population