Time to look at the numbers again
I’ve been busy and haven’t updated my spreadsheet for a week. Moreover, I haven’t talked about the numbers in probably a couple weeks. Here are some of the things I see, based on the numbers below and my spreadsheet (which tracks all of the variables below since the beginning of March):
First, the numbers of new cases are exploding. This
has been well documented in the press, but these numbers help put it in
perspective:
·
We’re firmly in our third wave of daily new cases.
The first wave hit its peak at about 34,000 new cases a day in early April, and
its trough in late May, at around 16,000 daily new cases. The second wave hit its
peak at around 80,000 new cases a day in late July; its trough was about 25,000
daily new cases in early September. Yesterday, daily new cases hit 132,000. I
remember there was much consternation after it first hit the 80,000 mark in
late October. This week, not much attention was paid to the pandemic at all, as
people were focused on something else.
·
The worst part about new cases is the 7-day rate of
increase is growing. It reached 8% yesterday and doesn’t seem to be slowing
down. During the second wave in July, that rate reached almost 15%. We may well
be headed back there.
·
That would be terrible in itself, but even worse is
the fact that new cases are increasing from a much larger base now. In mid-July
we had about 78,000 daily new cases, so a 15% rate of increase meant an
absolute increase of 11,700 daily new cases. Since the level of daily deaths
yesterday was 132,000, yesterday’s 8% rate was 10,560, close to the July level.
If we were to have a 15% weekly rate of increase at yesterday’s level of new
deaths, we would have an increase of almost 20,000. But of course, when and if
we do reach the 15% rate, we’ll have a much higher level of daily new cases,
and the absolute weekly increase will be much higher than that.
·
When I first started doing these posts in March and
April, I talked a lot about how powerful exponential growth is. Here’s a good
example. Of course, if new cases and deaths were growing at the rates they were
growing back then (deaths were growing at close to 100% a day then), the entire
US population would be dead by around Christmas. Thank God for small favors.
·
Speaking of deaths, I’m predicting that average
daily deaths for the week that ends today will be over 1,000. This is the first
time this has happened since late August. Of course, this is better than the
2,000 level in the last week of April.
·
But since new cases were at 30,000 a day then and
they’re 130,000 now, the lower level of deaths in April definitely isn’t due to
the fact that we’re doing a better job of containing the virus! Rather, the
clue can be found in the third number that I track, the ratio of deaths to
closed cases. On April 30, it was 29.1%, meaning about 30% of people with Covid
ended up dying. Now the ratio is 3.7%. Of course, this is due to the great
advances made by health care professionals – although Donald Trump says they’re
actually inflating the death numbers so they can make more money. Now that he’s
lost, I wish he would crawl into a hole tomorrow and we’d never hear from him
again, but I’m afraid that’s not going to happen.
Bottom line: Don’t look for the numbers to get better
for a long time, and it’s inevitable they’ll get a good deal worse than they
already are, especially because Trump has two and a half months left in his
term. At least it’s not 50 ½ months.
The numbers
These numbers are updated
every day, based on reported US Covid-19 deaths the day before (taken from the
Worldometers.info site, where I’ve been getting my numbers all along). No other
variables go into the projected numbers – they are all projections based on
yesterday’s 7-day rate of increase in total Covid-19 deaths, which was 3.0%.
Note that the “accuracy”
of the projected numbers diminishes greatly after 3-4 weeks. This is because,
up until 3-4 weeks, deaths could in theory be predicted very accurately, if one
knew the real number of cases. In other words, the people who are going to die
in the next 3-4 weeks of Covid-19 are already sick with the disease, even
though they may not know it yet. But this means that the trend in deaths should
be some indicator of the level of infection 3-4 weeks previous.
However, once we get
beyond 3-4 weeks, deaths become more and more dependent on policies and
practices that are put in place – or removed, as is more the case nowadays -
after today (as well as other factors like the widespread availability of an
effective treatment, if not a real “cure”). Yet I still think there’s value in
just trending out the current rate of increase in deaths, since it gives some
indication of what will happen in the near term if there are no significant
intervening changes.
Week ending |
Deaths reported during week/month |
Avg. deaths per day during
week/month |
Deaths as percentage of previous month’s |
March 7 |
18 |
3 |
|
March 14 |
38 |
5 |
|
March 21 |
244 |
35 |
|
March 28 |
1,928 |
275 |
|
Month of March |
4,058 |
131 |
|
April 4 |
6,225 |
889 |
|
April 11 |
12,126 |
1,732 |
|
April 18 |
18,434 |
2,633 |
|
April 25 |
15,251 |
2,179 |
|
Month of April |
59,812 |
1,994 |
1,474% |
May 2 |
13,183 |
1,883 |
|
May 9 |
12,592 |
1,799 |
|
May 16 |
10,073 |
1,439 |
|
May 23 |
8,570 |
1,224 |
|
May 30 |
6,874 |
982 |
|
Month of May |
42,327 |
1,365 |
71% |
June 6 |
6,544 |
935 |
|
June 13 |
5,427 |
775 |
|
June 20 |
4,457 |
637 |
|
June 27 |
6,167 |
881 |
|
Month of June |
23,925 |
798 |
57% |
July 4 |
4,166 |
595 |
|
July 11 |
5,087 |
727 |
|
July 18 |
5,476 |
782 |
|
July 25 |
6,971 |
996 |
|
Month of July |
26,649 |
860 |
111% |
August 1 |
8,069 |
1,153 |
|
August 8 |
7,153 |
1,022 |
|
August 15 |
7,556 |
1,079 |
|
August 22 |
7,552 |
1,079 |
|
August 29 |
6,675 |
954 |
|
Month
of August |
30,970 |
999 |
116% |
September 5 |
5,961 |
852 |
|
September 12 |
5,310 |
759 |
|
September 19 |
5,696 |
814 |
|
September 26 |
5,353 |
765 |
|
Month of Sept. |
22,809 |
760 |
75% |
October 3 |
5,102 |
729 |
|
October 10 |
5,091 |
727 |
|
October 17 |
4,933 |
705 |
|
October 24 |
5,771 |
824 |
|
October 31 |
5,998 |
857 |
|
Month of Oct. |
24,332 |
785 |
107% |
November 7 |
7,099 |
1,014 |
|
November 14 |
7,313 |
1,045 |
|
November 21 |
7,533 |
1,076 |
|
November 28 |
7,759 |
1,108 |
|
Month of Nov. |
31,246 |
1,042 |
128% |
Total March-Nov. |
266,128 |
|
|
Red = projected
numbers
I. Total deaths
Total US deaths as of
yesterday: 242,230
Percent increase in total
deaths in the last seven days: 3.0% (This number is used to project deaths
in the table above. There is a 7-day cycle in the reported deaths numbers,
caused by lack of reporting over the weekends from closed state offices. So
this is the only reliable indicator of a trend in deaths, not the three-day
percent increase I used to focus on, and certainly not the one-day percent
increase, which mainly reflects where we are in the 7-day cycle).
II. Total reported cases
Total US reported cases: 10,058,586
Increase in reported cases
since previous day: 132,540
Percent increase in reported
cases in the last seven days: 8.0%
III. Deaths as a percentage of closed cases so far in the US:
Total Recoveries in US as
of yesterday: 6,392,330
Total Deaths as of yesterday:
242,230
Deaths so far as
percentage of closed cases (=deaths + recoveries): 3.7%
For a discussion of what this
number means – and why it’s so important – see this post. Short
answer: If this percentage declines, that’s good. It’s been steadily declining since
a high of 41% at the end of March. But a good number would be 2%, like South
Korea’s. An OK number would be 4%, like China’s.
IV. 7-day average of
test positive rate for US: 7.3%
For comparison, the recent peak for this rate was 27% in
late July, although the peak in late March was 75%. This is published by Johns
Hopkins. As of 10/2, rate for New York state: 1.2%. For Texas: 6.0%. For
Florida: 10.9%. For Arizona: 6.2%. For
California: 2.8%).
I would love to hear any comments or questions you have
on this post. Drop me an email at tom@tomalrich.com
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