Skip to the content.

June 20, 2020 Analysis of provincial data

All provinces except PEI (which has very few cases) are fit to the reference model 2.3. Reporting anomalies are included for BC and Quebec.

The following shows graphs followed by tables. To download a pdf version of a plot, click on the title. The models and data used to produce these are conveniently made available through the ipypm user interface.

BC

The data is consistent with a single transition in the transmission rate and about 300 cases added in late April. The anomalous cases are seen in all health regions and is expected to be due to a change in test/reporting policy. The trajectory for in hospital follows the infection trajectory deduced from the case studies.

A transition was inserted for May 19, the date social distancing rules were relaxed. While there is an increase in cases, and the fit finds increased transmission rate, this is apparently due to a small outbreak in Vancouver Coastal health region. See this link to see a breakdown by health authority. The statistical analysis finds a large uncertainty for δ following May 19.

bcc

Alberta

The data is consistent with one change in transmission rate in mid March and 3 separate large outbreaks. These have been reported in the media to be due to meat packing plants. The data is consistent with each outbreaks taking place over a very short period of time. Only two parameters are used to characterize each outbreak: date and number of infections. The shapes of the case (and contagious populations) are outcomes of the other model parameters which were not tuned.

The hospitalization and death rates from these outbreaks appear to be smaller than the cases from March.

There is again growth in cases starting around May 20. The additional cases are from the Edmonton health region.

ab

Saskatchewan

The data is consistent with two transitions in transmission rates, one large outbreak reported in the media to be in far northern communities, and a second smaller outbreak in early June (also in far northern communities). The data suggests that the first outbreak took place over a period of about 10 days. The second outbreak is only now becoming visible in the case data.

sk

Manitoba

The data is consistent with one change to the transmission rate. Small deviations from exponential decline seen - used a reporting anomaly and an outbreak as examples.

mb

Ontario

The data is consistent with 2 changes in tranmission rate. A third transition is added for May 19 to measure the new transmission rate.

on

Quebec

Four changes in transmission rate are necessary to fit the data. A large backlog of case reports were released on May 3. A significant reduction in transmission in May. The best fit for the transition date is May 18.

qc

New Brunswick

The data is consistent with two changes in transmission rates and outbreaks in late May (in Campbellton region).

nb

Newfoundland

The data is consistent with one change in transmission rate.

nl

Nova Scotia

The data is consistent with two changes in transmission rates.

ns

Tables

The tables below are results from the fits to reference model 2.3.

Daily fractional growth rates (δ)

prov δ0 day 1 δ1 day 2 δ2 day 3 δ3 day 4 δ4
bcc 0.187 +/- 0.030 16 -0.040 +/- 0.008 80 -0.011 +/- 0.024        
ab 0.158 +/- 0.019 20 -0.072 +/- 0.006 81 0.034 +/- 0.018        
on 0.178 +/- 0.007 26 0.026 +/- 0.003 44 -0.019 +/- 0.002 80 -0.028 +/- 0.009    
qc 0.298 +/- 0.011 22 0.029 +/- 0.011 30 0.011 +/- 0.003 55 -0.011 +/- 0.003 79 -0.071 +/- 0.004
ns 0.231 +/- 0.019 21 0.036 +/- 0.008 44 -0.090 +/- 0.011        

Infection status

The following plots summarize the infection history. The upper plot shows the daily growth/decline from the fit. Bands show approximate 95% CL intervals. The lower plot shows the size of the infection: the uncorrected circulating contagious population per million. Only regions with sufficient statistics to properly analyze uncertainty in δ are shown.

BC

bcc

Alberta

ab

Ontario

on

Quebec

qc

Nova Scotia

ns

return to case studies