Tara Moriarty Profile picture
Jan 19 15 tweets 4 min read
Here's an illustration of reporting differences between Ontario and Quebec that mask magnitude of ON deaths in current wave.

First, note that by the end of January, ON's new daily deaths will likely exceed QC's new daily deaths during 1st wave.

But we won't "see" them.

Why?
🧵
This graph shows the expected deaths in each province, based on IHME and ICL estimates of true case numbers.

My method for estimating expected deaths using these case numbers is described in the thread linked here.

Yes, the estimates take into account previous C19 deaths in each region, age-specific vax rates, reduced Omicron severity, changing protection vs infection and severe outcomes from boosters. It's all in the linked thread, as are estimates of total future deaths we may see.
For Canada as a whole this method works exceptionally well to predict the 7 day average actual reported deaths we're seeing daily.

See yesterday's update for Canada here:

In the graph for Canada, you see see 3 things:

1. Expected actual deaths
2. Expected reported deaths
3. Reported deaths

Expected reported is the number of actual expected deaths divided by the global under-detection/under-reporting rate for COVID-19 deaths in Canada.
In Canada, about 60% of actual COVID-19 deaths are detected/reported.

The expected new daily deaths are shown with the green dashed line.

60% of those deaths is the black dashed line.

Pink is the actual REPORTED deaths. It matches the black line almost perfectly.
Right now, I'm watching what expected and reported deaths look like in QC and ON.

QC typically quickly reports all its COVID-19 deaths.

You can see that here. The light blue dashed line for expected QC deaths perfectly lines up with reported QC deaths (solid darker blue line).
Ontario should be reporting very similar new daily deaths as Quebec right now (compare dashed light blue and dashed orange lines).

But it's not. The deaths Ontario is actually reporting are shown with the red solid line, and the gap is growing.
ON typically is quite slow reporting COVID-19 deaths. They often still show up 6 months after they happen. There are still ON C19 deaths from Wave 1 showing up in Cdn national mortality database that were not reported, or perhaps so late they're buried in deaths for later waves.
Ontario is actually 3rd best in the country for complete/timely death reporting, after Quebec and Manitoba. The other provinces are worse (Atlantic provinces may not be quite as bad, but it's harder to know because death waves 1 and 2 were fairly small.
Again, over and over and over:

What you see in QC is almost certainly currently happening in your province or will happen soon, even if you're not seeing it in reported death numbers.

Expected death waves may be somewhat smaller SK and west b/c so many died in last 6 months.
I'll do similar estimates for other provinces where we have infection number estimates from IHME, but maybe not until the weekend when I have a bit more time.
Finally, it's important to note that expected QC deaths may peak in coming week, but ON deaths will keep rising.

Death estimates for ON, QC are expected to be wobbly over next 2 weeks because of testing problems Dec 18 onward, but so far QC and Canada data still fit closely.
And I'm not sure if "peak" is the right word for expected Quebec deaths in the next week or so. It's probably more accurate to describe it as a plateau.
Finally, for those asking, yes, I can do these estimates for BC, Alberta, Saskatchewan, Manitoba and Nova Scotia. I'll be trying to do them one by one in the evenings after regular work, but may not finish till this weekend. Once it's done, I'll post them all daily.

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More from @MoriartyLab

Jan 15
Estimating actual and reported COVID-19 deaths in Canada in the coming months

🧵
It's Saturday and I have a little more time than during the week, so here's an explainer of how I'm estimating future COVID-19 deaths.

There are MANY yelling in my mentions that this is impossible.

Friends, it's due to exponential growth, which humans aren't good at estimating.
To estimate future deaths, you need a couple of key pieces of information.

1. The actual number of infections
2. The death rate for those infections
Read 45 tweets
Jan 14
Boosters are having a big impact on future severe outcomes of Omicron wave in Canada

Between Dec 28 and today, boosters have reduced the maximum percentage of people in Ontario who can get infected from 88% of population to 69%.

🧵Why does this matter?

Source @COVIDSciOntario
@COVIDSciOntario Let's extend the Ontario booster data to Canada.

On Dec 28, it was possible that 88% of the Canadian population could be infected in the current wave. That's about 34M infections.

If we reduce the maximum to 69%, this means 26M infections, a reduction of about 8M infections.
@COVIDSciOntario With current vax protection vs severe Omicron outcomes, % each age group fully vaccinated and assuming Omicron is 50% less "severe" than Delta:

🔵Estimated current Canadian infection fatality rate for those infections is 0.17%.

Multiply that by 8M. Nearly 14K prevented deaths.
Read 7 tweets
Jan 14
Most people assume that Canadian COVID-19 deaths occur mainly in hospitals and long-term care, retirement and assisted living homes.

They don't, especially since vaccines became available.

It's not clear how many people die AFTER going to hospital, or how many never go.
In Canada, the full impact of COVID-19 waves is largely seen in reported deaths, which often are reported long after the wave has passed, especially outside QC (probably also MB).

As I say over and over, watch QC and assume same is happening in your region or will soon.
Deaths in hospital account for a minority of total deaths. We're about to find out soon if LTC will surge with breakthrough deaths.

Again, watch Quebec for the fastest death reporting in LTC/RHs and all locations.

If QC deaths in LTC start surging the ROC will be close behind.
Read 8 tweets
Jan 13
Dear @COVID_19_Canada Vaccine Q&A friends

Just finished going through survey data for program participants (with Janet Cho, @emeraldclover5 @sillenojunior)

The Q&As resulted in a significant 12% shift toward intention to vaccinate.

For vax hesitancy that's big.

Way to go!
@COVID_19_Canada @emeraldclover5 @sillenojunior If this pattern held true for all 35,000 people we've spoken with since Jan 4, 2020, this means the program may have convinced more than 4,100 people to get vaccinated. The average age of respondents was 48. Estimated lives saved: 18-36.
Hopefully the 35,000 people we've spoken with went on to support others to get vaccinated too.
Read 7 tweets
Jan 8
For everyone sending DMs about what to do if you can't access RATs, N95s, what to do if someone at home is symptomatic

I can't answer all questions individually, but will do a Zoom session tonight at 8 ET to answer as many as possible.

Registration here:
eventbrite.ca/e/241901181947
The title of the event is Vaccine Conversations because that's the default title for Q&A sessions we host @COVID_19_Canada.

But I'll cover every topic I can. If I don't know I'll tell you.

I'll likely do this tmw too. We'll expand to more of @COVID_19_Canada team helping ASAP.
@COVID_19_Canada I know there's a profound need right now to get clear, simple information because official support phone lines are completely clogged across Canada.

We'll do the best we can to provide basic advice and support that will work across all Canadian regions.
Read 4 tweets
Jan 8
For people 40+ in Canada who aren't yet vaccinated

Here are odds of being hospitalized, in ICU and dying from Omicron. If there are even hospital beds available.

In this thread I'm breaking it down by age, to help you see your real risk.

I am desolate. Your life matters.
If you're in your 40s and are unvaccinated

1 in 58 people 40-49 will be hospitalized when infected with Omicron, if there are beds.

1 in 217 people 40-49 will end up in ICU, if there are beds.

1 in 787 will die.
If you're in your 50s and are unvaccinated

1 in 28 people 50-59 will be hospitalized when infected with Omicron, if there are beds and staff.

1 in 83 people 50-59 will end up in ICU, if there are beds and staff.

1 in 235 will die.
Read 9 tweets

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