Aug. 12: C-19 Data Dashboard

August 12, 2020

167,562  Deaths-to-Date

1,370 Daily New Deaths  (peak 2,824 April 21)
> 7-day average 1,050    (peak 2.229 April 23)

52,539  New Cases
> 7-day average    54,403

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Details below…

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Ohio Gov. DeWine tests negative … after testing positive.

August 11, 2020

Not a surprise according to Bayes’ Theorem
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According to the NYT and many other sources…

As part of a screening by the White House, Mr. DeWine first received an antigen test, a newer type of test that provides faster results but is less accurate than traditional laboratory testing.

He tested positive for Covid-19

He was later twice-tested using a more standard procedure known as polymerase chain reaction, or P.C.R., an accurate but time-intensive method that requires samples to be processed at a laboratory.

That test result was negative for the Covid-19.

DeWine’s experience is a classic “false positive” … to be expected based on Bayes’ (Statistical) Theorem.

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Let me explain…

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Aug. 11: C-19 Data Dashboard

August 11, 2020

166,161  Deaths-to-Date

538 Daily New Deaths     (peak 2,824 April 21)
> 7-day average 1,025    (peak 2.229 April 23)

48,932  New Cases
> 7-day average    54,344

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Details below…

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The good C-19 news that the MSM will likely ignore…

August 10, 2020

Data indicates that the worst may be behind us … at least for now.
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The 7-day average for new cases has been trending down for more than two weeks, from more than 67,000 on July 22 to 47,849 on Sunday.

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There are 49,039 Covid-related patients currently hospitalized.  Hospitalizations are trending down and are below the 60,000 peaks reached on April 21 and July 27.

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The 7-day average for new reported deaths has also apparently peaked., trending from 1,246 on July 31 to the current 1,036, which is less than half of the peak reached on April 23 (2,229).

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The arrows are pointing in the right direction!

Aug. 10: C-19 Data Dashboard

August 10, 2020

165,617  Deaths-to-Date

535 Daily New Deaths     (peak 2,824 April 21)
> 7-day average 1,036    (peak 2.229 April 23)

47,849  New Cases
> 7-day average    54,289

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Details below…

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Aug. 9: C-19 Data Dashboard

August 9, 2020

165,070  Deaths-to-Date

980 Daily New Deaths  (peak 2,824 April 21)
> 7-day average 1,025    (peak 2.229 April 23)

54.199  New Cases
> 7-day average    54,459

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Details below…

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Aug. 8: C-19 Data Dashboard

August 8, 2020

164,076  Deaths-to-Date

1,272 Daily New Deaths  (peak 2,824 April 21)
> 7-day average 1,047    (peak 2.229 April 23)

62,541  New Cases
> 7-day average    55,063

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Details below…

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How many people are walking around infected with Covid-19?

August 7, 2020

Finally, some C-19 “prevalence” estimates…
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Loyal readers know that I’ve been frustrated by the lack of practical, personally-relevant data that the public health “experts” have been gathering, analyzing and disseminating.

For example, I’d like to know how likely I am to bump into a person who is infected with C-19 if I leave my house.

Reasonable question, right?

In infectious disease speak, that number is called the “prevalence rate” … the percentage of people in an area who are infectious-likely at a specific point in time.

Current testing procedures don’t answer the question (see: Why is COVID testing still so haphazard?) … so, the “experts” fixate on metrics that are muddled and potentially misleading (see: Birx: “Key metric that I watch is the positivity rate”).

Finally, I’ve stumbled on some “machine learning” analyses that take a stab at answering my question: What’s the Covid prevalence rate?

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OK, let’s get to work…

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Aug. 7: C-19 Data Dashboard

August 7, 2020

162,804  Deaths-to-Date

1,203 Daily New Deaths  (peak 2,824 April 21)
> 7-day average 1,074    (peak 2.229 April 23)

58,611  New Cases
> 7-day average    56,258

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Details below…

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C-19: State-level Cases, Deaths, Rates

August 6, 2020

Today, let’s drill down for some perspective…
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First, as oft-reported, NY & NJ lead the list for total deaths … the 2 states represent about 30% of the US total.

The Top 10 states account for 2/3’s of the US total.

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Let’s dig deeper…

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Aug. 6: C-19 Data Dashboard

August 6, 2020

161,601  Deaths-to-Date

1,319 Daily New Deaths  (peak 2,824 April 21)
> 7-day average 1,109    (peak 2.229 April 23)

56,148  New Cases
> 7-day average    57,681

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Details below…

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Gov. Cuomo says to follow the data, so…

August 5, 2020

Let’s compare NY (and its North East neighbors) to the spiking  Sun Belt states. 
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According to Gov. Cuomo, the fawning  MSM and  Dr. Anthony “First Pitch” Fauci:

Gov. Cuomo did a stellar job managing the covid crisis … and, all of the Sun Belt governors (except CA’s Gov. Newsome) are reckless dufasses.

Really?

I hate to ruin a good narrative with data, but since Gov. Cuomo says to follow the numbers…

Below is a current Covid recap for 4 North East states (NY, NJ, MA, CT) … 4 Sun Belt states (TX, FL, AZ, GA) … and California.

click to enlarge chart
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Here are a couple of takeaways….

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Aug. 5: C-19 Data Dashboard

August 5, 2020

160,215  Deaths-to-Date

1,287 Daily New Deaths  (peak 2,824 April 21)
> 7-day average 1,128    (peak 2.229 April 23)

52,055  New Cases
> 7-day average    59,220

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Details below…

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Aug. 4: C-19 Data Dashboard

August 4, 2020

158,929  Deaths-to-Date

568 Daily New Deaths    (peak 2,824 April 21)
> 7-day average 1,131   (peak 2.229 April 23)

48,622  New Cases
> 7-day average    61,030

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Details below…

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Have Covid cases peaked?

August 3, 2020

Let’s drill down on some numbers today…
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For the past 2 or 3 weeks, the number of new cases reported each day seems to have peaked … maybe plateaued, maybe turned the corner and is starting to decline.

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Over the same time period, the daily death rate has trended up from its previous trough … or, as the MSM media likes to say “in recent weeks, the daily death rate has catastrophically doubled from 500 per day to over 1,000 per day”.

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Putting those numbers into context, the daily case counts have more than doubled since the prior peak in mid-April … while daily deaths have hovered around 50% of their mid-April level.

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In numbers: New cases were running at about 30,000 per day in mid-April … and there were over 2,000 new deaths each day … a ratio of deaths to cases of about 6.7%.

During the recent spike, cases have been running at about 60,000 per day … and  new deaths each day have been averaging about 1,000  … a ratio of deaths to cases of about 1.7%.

That’s a 75% drop in the deaths to cases rate.

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Keep a watchful eye on the daily death rate …

Aug.3: C-19 Data Dashboard

August 3, 2020

158,365  Deaths-to-Date

467 Daily New Deaths    (peak 2,824 April 21)
> 7-day average 1,126   (peak 2.229 April 23)

49,038  New Cases
> 7-day average    62,880

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Details below…

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Aug. 2: C-19 Data Dashboard

August 2, 2020

157,898  Deaths-to-Date

1,151 Daily New Deaths (peak 2,824 April 21)
> 7-day average 1,124   (peak 2.229 April 23)

58,429  New Cases
> 7-day average    63,893

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Details below…

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Aug.1 C-19 Data Dashboard

August 1, 2020

156,747  Deaths-to-Date

1,462 Daily New Deaths (peak 2,824 April 21)
> 7-day average 1,089  (peak 2.229 April 23)

70,904  New Cases
> 7-day average    65,177

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Details below…

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July 31: C-19 Data Dashboard

July 31, 2020

155,285  Deaths-to-Date

1,465 Daily New Deaths (peak 2,824 April 21)
> 7-day average 1,051  (peak 2.229 April 23)

68,569  New Cases
> 7-day average    66,192

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Details below…

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Why can’t online education be as engaging as Fortnite?

July 30, 2020

In prior post,  asserted that near-term, more online education is inevitable … and, in another post, we reported a WSJ study that  The Results Are In for Remote Learning: It Didn’t Work.

The headline point of the WSJ study:

Preliminary research suggests students nationwide will return to school in the fall with roughly 70% of learning gains in reading relative to a typical school year, and less than 50% in math.

We concluded:

The playing field changed: Teachers are no longer just “competing” against other teachers and subjects for students’ interest … now, they are directly competing against Fortnite and Tik Tok.

That’s not a fair fight…

A couple of loyal readers asked a reasonable question: “Fortnite? What the heck are you talking about?”

Well…

During the past couple of months, I had a unique opportunity: occasionally kid-sitting a 1st grader and a 5th grader during the Covid school shut-down.

So, I had a glimpse into the effectiveness of their online virtual classes …  and, I got to see how they spent their time with schools and sports locked down.

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The experience was eye-opening…

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The “summer slide” meets the coronavirus…

July 30, 2020

How much dislearning” have children experienced dur the schools’ shut down?
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In his 2008 bestseller Outliers: The Story of Success, Malcolm Gladwell popularized the notion of an educational “summer slide”.

Referencing a tracking study of Baltimore City Public School students, Gladwell highlighted evidence that students’ standardized test scores in the fall were generally lower than their scores in the prior spring.

His observation: “Between school years, students’ accumulated learning is diminished”.

In other words, there is a statistically significant “forget factor” if learning isn’t reinforced and edged forward with summer enrichment activities (think: summer school, educational camps, field trips, parental tutoring).

The summer slide is most pronounced for poor students who lack summer enrichment opportunities … and for all students in math. 

The black line below illustrates the math score drop-off for typical 3rd, 4th and 5th graders. On average, the typical summer slide in math skills is about 2%.  That is, students are 2% less proficient in math after their summer vacations.

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Source: WSJ

To make matters worse, note the red line on the chart … it illustrates the projected drop-off due to this year’s virus-induced school closings.

It’s estimated that students will be about 5% less proficient in math than they were when the schools closed … the combined effect of lesser learning during the schools’ shut-down period and an extended summer slide (with many schools declaring no mas in early June) .

More specifically…

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July 30: C-19 Data Dashboard

July 30, 2020

153,840  Deaths-to-Date

1,520 Daily New Deaths (peak 2,824 April 21)
> 7-day average 1,004  (peak 2.229 April 23)

66,921  New Cases
> 7-day average    66,850

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Details below…

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Near-term, more online education is inevitable…

July 29, 2020

So, parents need to ramp-up for home schooling.

Those are pivotal conclusions that I’ve reached based on the following observations & assumptions:

> Some school systems are starting fully online this fall … and, the number seems to be increasing everyday.

> Others schools are mixing a hybrid of in-class and online learning.

> Even schools starting fully in-class will need to provide an online option for students whose parents opt them out of in-class.

> Similarly, even schools starting fully in-class will need to provide an online option for students who catch the coronavirus and are quarantined.

> Some (or many) schools that start in-class may encounter viral outbreaks that force them to reverse course and go fully online.

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Bottom line: Near-term, more online education is inevitable… and, longer-term, it may become a permanent component of practically all educational programs.

So the critical question for educators to ask is not whether or not to go online … it is how to quickly develop and launch effective online teaching … and how to incorporate online learning in on-going curriculums.

For parents, the question is not if, but how to provide a nurturing learning environment at home.

Hillary preached that “It Takes a Village”.

But, sometimes you just can’t count on “the village” to raise and educate your kids.

In those instances, it’s nice to have a nuclear family to fall back on …

 

July 29: C-19 Data Dashboard

July 29, 2020

152,320  Deaths-to-Date

1,245 Daily New Deaths
> 7-day average 964

64,729  New Cases
> 7-day average    66,871

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Details below…

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“Confirmed cases” are skyrocketing … how many are false positives?

July 28, 2020

The answer is likely to surprise you!
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In my strategic business analytics course, I used to teach something called Bayesian Inference … a way to calculate probabilities by combining contextual information (called “base rates” or “priors”) with case-specific observations (think: testing or witnessing).

Today, we’ll apply Bayesian Inference to the COVID testing situation…

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July 28: C-19 Data Dashboard

July 28, 2020

150,444  Deaths-to-Date

595 Daily New Deaths
> 7-day average 946

61,571  New Cases Worldometer
> 7-day average    69,186

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Details below…

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Why is COVID testing still so haphazard?

July 27, 2020

Test results come too late for therapeutic decisions … and “the science” still can’t answer basic questions.
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Let’s dig into some numbers today…

Based on some back-of-the envelop arithmetic, I estimate that about 13 million Covid tests have been administered in the 3 weeks ending July 13

Note: The time period is strictly arbitrary.  And, since I don’t have all of the daily data series, I just derived rough estimates off the charts. I doubt conclusions would change much with a different time period or more precise numbers 

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Now, let’s drill down on those numbers….

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July 27: C-19 Data Dashboard

July 27, 2020

149,849  Deaths-to-Date Worldometer

451 Daily New Deaths Worldometer
> 7-day average 93&2

56,130 New Cases Worldometer
> 7-day average    68,341

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Data Source: Worldometer 
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Details below…

Read the rest of this entry »

July 26: C-19 Data Dashboard

July 26, 2020

149,398  Deaths-to-Date Worldometer

906 Daily New Deaths Worldometer
> 7-day average 932

67,413 New Cases Worldometer
> 7-day average    68,648

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Data Source: Worldometer 
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Details below…

Read the rest of this entry »

July 25: C-19 Data Dashboard

July 25, 2020

149,490  Deaths-to-Date Worldometer

1,193 Daily New Deaths Worldometer
> 7-day average 914

78,009 New Cases Worldometer
> 7-day average    68,054

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Data Source: Worldometer 
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Details below…

Read the rest of this entry »

Birx: “Key metric that I watch is the positivity rate”

July 24, 2020

In yesterday’s post, I indicted that I was very disappointed with Dr. Brix’s answers  in a TV interview with Bret Baer.

One particular question & answer still has me scratching my head:

What is the key statistic that you track?

Birx’s answer: Test positivity (i.e. ratio of positive test results to total tests). It’s the most sensitive indicator and best early warning.

With all due respect, I think that Dr. Birx is confusing “positivity” with “prevalence”.

I’m way more interested in the latter prevalence: the percentage of the population that is currently infected with the virus.

Prevalence indicates how widespread the virus is at any point in time in a selected locale.

That gives me a sense of how safe it is to leave my house: How many people am I likely to run into who have the virus and may be contagious.

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Determining prevalence requires periodic random sampling of the population.

That’s not what’s being done now.

A representative sample of the local populations is not being tested.

Why is that a problem?

The positivity rate (Birx’s key metric) is a function of who shows up to be tested.

If only people with covid-like symptoms are being tested, then of course, the positivity rate will be high.

If there’s a groundswell of asymptomatic people, the positivity rate will likely be relatively low.

My hunch: The testing “sample” is skewed to people with symptoms.

In a prior post, we reported that “Asymptomatics” are not rushing to get tested and provided some subjective reasons why that might be (e.g. no doctor referral, high hassle factor, privacy concerns).

So, positivity is, at best, a very crude measure of prevalence.

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To that point, keep in mind…

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July 24: C-19 Data Dashboard

July 24, 2020

147,297  Deaths-to-Date Worldometer

1,114 Daily New Deaths Worldometer
> 7-day average 882

68,278 New Cases Worldometer
> 7-day average    67,623

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Data Source: Worldometer 
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Details below…

Read the rest of this entry »

I was very disappointed with Dr. Birx’s interview answers…

July 23, 2020

Old paradigms, lack of data, inconclusive.
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Yesterday, Bret Baer in-depth interviewed Dr. Deborah Birx.

For the record, I think that Dr. Birx is a trusted source: smart, experienced, knowledgeable, “clued in”, well-intended, apolitical, honest, etc.

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click to view video

I thought that Baer’s questions cut to the chase:

  • Where do we stand right now on the virus?
  • What is the key statistic that you track?
  • What’s the purpose of testing if it takes 3 or 4 days to get results?
  • Specifically, what do we know about kids catching and transmitting the virus?
  • What is your recommendation re: re-opening schools?
  • How susceptible are people to getting re-infected?
  • How good is the data that you rely on?

Unfortunately, Dr. Birx’s answers to these pivotal questions were, in my opinion, very disappointing.

Read the rest of this entry »

July 23: C-19 Data Dashboard

July 23, 2020

146,183  Deaths-to-Date Worldometer

1,239 Daily New Deaths Worldometer
> 7-day average 860

71,907 New Cases Worldometer
> 7-day average    68,353

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Data Source: Worldometer 
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Details below…

Read the rest of this entry »

From “flattening the curve” to “learning curves”…

July 22, 2020

A conceptual rationale for why COVID cases are surging but deaths aren’t.
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All along I’ve been arguing that the truest and most relevant measure of COVID-fighting is the death rate.

MUST READ: How will we know when we’ve turned the COVID-19 corner?

And, I’ve recently been showcasing the relationship between confirmed cases and deaths.

See: Where’s the case-related spike in deaths?

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The data says: Since mid-April, the number of daily confirmed cases has more than doubled, but the number of daily new reported deaths has apparently stabilized at about half of mid-April levels.

How can that be?

Here’s a way of thinking about the how & why…

Read the rest of this entry »

July 22: C-10 Data Dashboard

July 22, 2020

144,944  Deaths-to-Date Worldometer

1,113 Daily New Deaths Worldometer
> 7-day average 829

66,933 New Cases Worldometer
> 7-day average    68,322

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Data Source: Worldometer 
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Details below…  Read the rest of this entry »

The Sun Belt states vs. New York and its neighbors…

July 21, 2020

We’ve been emphasizing that while the number of confirmed cases has more than doubled since mid-April, daily reported new deaths have arguably stabilized at about half of their mid-April level.

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Today, let’s get a bit more granular and drill down to the states’ level… where the data is VERY interesting.

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July 21: C-19 Data Dashboard

July 21, 2020

143,825  Deaths-to-Date Worldometer

538 Daily New Deaths Worldometer
> 7-day average 797

62,656 New Cases Worldometer
> 7-day average    68,130

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Data Source: Worldometer 
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For details, keep reading… Read the rest of this entry »

FDA okays “pooled” testing for COVID-19…

July 20, 2020

A potentially big first step to efficient testing
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Over the weekend, the FDA issued an emergency use authorization for pooled samples.

The Quest test is the first COVID-19 diagnostic test to be authorized for use with pooled samples.

Her are details from the FDA press release:

Read the rest of this entry »

July 20: C-19 Data Dashboard

July 20, 2020

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Data Source: Worldometer 
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Cumulative Deaths 
143,289 Worldometer
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412 Daily New Deaths Worldometer
> 7-day average 786

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Worldometer

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Currently Hospitalized

> 57,000  July 17
> 7-day average      57,000
> April 22 peak        59,000
> June 21 low point  28,000

image
RonaViz

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Confirmed Cases

> 65,279 New Cases Worldometer
> 7-day average    68,535
> Highest day        73,388  July 16
> April 24 peak      36,291
> June 8 low point  17,414

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Worldometer

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Worldometer 

July 19: C-19 DATA DASHBOARD

July 19, 2020

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Data Source: Worldometer 
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Cumulative Deaths 
142,877 Worldometer
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783 Daily New Deaths Worldometer
> 7-day average 782

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image
Worldometer

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Currently Hospitalized

> 58,000  July 17
> 7-day average      55,000
> April 22 peak        59,000
> June 21 low point  28,000

image_thumb9_thumb
RonaViz

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Confirmed Cases

> 63,259 New Cases Worldometer
> 7-day average    67,345
> Highest day        73,388  July 16
> April 24 peak      36,291
> June 8 low point  17,414

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Worldometer

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Worldometer 

Where’s the case-related spike in deaths?

July 18, 2020

No question, the number of confirmed coronavirus cases has skyrocketed since mid-June.

During the same time period, daily new deaths reported have leveled off … typically ranging between 500 and 1,000.

The chart below displays the 7-day moving average of daily reported new cases and deaths … indexed to their levels in mid-April when daily new deaths previously peaked (2,824 on April 21) and daily new cases were running about 30,000.

image_thumb[18]
Data Source: Worldometer 

My take:

Even factoring a lag time between case diagnoses and deaths, it doesn’t appear that the higher case counts are driving a commensurate spike in deaths.

July 18: C-18 DATA DASHBOARD

July 18, 2020

Cumulative Deaths 
142,054 Worldometer

image
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939 Daily New Deaths Worldometer
> 7-day average 758

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   image
Worldometer

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Currently Hospitalized

> 57,000  July 16
> 7-day average      54,000
> April 22 peak        59,000
> June 21 low point  28,000

image_thumb9
RonaViz

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Confirmed Cases

> 74,987 New Cases Worldometer
> 7-day average    67,325
> Highest day        73,388  July 16
> April 24 peak      36,291
> June 8 low point  17,414

image_thumb12
RonaViz

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Worldometer 

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WSJ JHU

Let’s end the week on a C-19 high note…

July 17, 2020

Some reasons to be optimistic
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WaPo ran an op-ed by Joseph Allen — a Harvard prof specializing in “exposure assessment science”.

Prof. Allen offers up 6 “positive developments to remind us that there is hope in this crisis”.

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Here’s Prof Allen’s list:

1. Therapeutic treatments

in addition to what we already have for most sick patients, more targeted therapeutic treatments will arrive — probably before vaccines.

Scientists have now engineered synthetic clones of coronavirus antibodies —  called monoclonal antibodies — and they are showing to be effective both therapeutically and to prevent infection.

Read the rest of this entry »

July 17: C-19 DATA DASHBOARD

July 17, 2020

Cumulative Deaths 
141,125 Worldometer

image
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965 Daily New Deaths Worldometer
> 7-day average 758

image

image
Worldometer

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Currently Hospitalized

> 57,000 Current
> 7-day average      54,000
> April 22 peak        59,000
> June 21 low point  28,000

image
RonaViz

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Confirmed Cases

> 73,388 New Cases Worldometer
> 7-day average    66,868
> Highest day        73,388  July 16
> April 24 peak      36,291
> June 8 low point  17,414

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RonaViz

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Worldometer

Coronavirus deaths spiking … or, are they?

July 16, 2020

The liberal media has been downright giddy this week, trumpeting an AP headline:

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The source of the gidddyness: An uptick in the number of daily new reported deaths … the 7-day average of daily new deaths troughed at 517 on July 6 … since then,  the 7-day M.A. has increased to 757 … or, as the press likes to say: “increased a catastrophic 50%”

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Those are the numbers … and, the only conclusion that can be drawn is that the huge spike in sun belt cases is finally working it’s way through the system … catapulting the death rate upward. Right?

Well, maybe.

But let’s add some perspective to the numbers…

Read the rest of this entry »

July 16: C-19 DATA DASHBOARD

July 16, 2020

Cumulative Deaths 
140,160 Worldometer
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1,017 Daily New Deaths Worldometer
> 7-day average 757

image

image
Worldometer

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Currently Hospitalized

> 56,000 Current
> 7-day average      52,000
> April 22 peak        59,000
> June 21 low point  28,000

image
RonaViz

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Confirmed Cases

> 71,750 New Cases Worldometer
> 7-day average    63,693
> Highest day        71,750  July 15
> April 24 peak      36,291
> June 8 low point  17,414

image
RonaViz

image
Worldometer

Why is COVID testing still so haphazard?

July 15, 2020

Test results come too late for therapeutic decisions … and “the science” still can’t answer basic questions.
==============

Based on some back-of-the envelop arithmetic, I estimate that about 13 million Covid tests have been administered in the 3 weeks ending July 13

Note: The time period is strictly arbitrary.  And, since I don’t have all of the daily data series, I just derived rough estimates off the charts. I doubt conclusions would change much with a different time period or more precise numbers 

image

Now, let’s drill down on those numbers….

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Of the roughly 13 million tests that were reported, over 12 million (94%) came back covid-negative’.

Note: Practically all headline reporting is “confirmed cases” — the test results that were covid-positive. Total test minus positive results estimates negative results.

image

My 1st question is who the heck are these 12 million people who are testing negative … and why, in the first place, are they even being covid-tested.

Some possibilities:

  • They’re exhibiting flu-like symptoms that might indicate covid.
  • They know (or think) that they’ve been exposed to the virus … via a super-spreader person or at a superspreading event
  • Their employer is making them take the test (e.g. frontline healthcare workers)
  • They’re participating in a medical research project (e.g. a vaccine trial)
  • They’ve been selected to be part of a random surveillance sample
  • They’re trying to be good citizens by participating in the “test, test, test” program
  • They’re just curious as to whether or not they’re infected.

I think the top 5 categories are pretty legit.

The last 2 strike me as a waste of constrained testing capacity.

Regardless, wouldn’t it be nice to know how the 12 million sorts out by those categories?

Apparently, that sort of classification data isn’t captured at the  point-of-testing … or, public health officials just aren’t making the data available.

That’s too bad

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Moving on…

Less than 1 million of the 13 million tested Covid-positive … a “positivity rate” of 6%.

Who are these people and how are they treated when they’re tagged as infected?

I’d like to know:

  • How many present with severe, mild or no symptoms?
  • Do they have co-morbidities or not?  If yes, how many? Which ones?
  • What treatment plan is prescribed? Hospitalization? Quarantine? R&R?

Again, it appears that this sort of classification data isn’t captured at the  point-of-testing … or, public health officials just aren’t making the data available.

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Bottom line: We need to focus constrained testing resources on therapeutic decision incidences … and, we need to gather and analyze more classification so that the testing helps pin down how this virus is acting.

Testing that simply increases the number of tests doesn’t seem to be getting us anywhere.

NYT editor resigns … and makes the obvious evident.

July 15, 2020

“The paper of record is, more and more, the record of those living in a distant galaxy”
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Bari Weiss, a high-profile editor and writer for the New York Times opinion section, resigned Monday, citing what she said was unchecked bullying from colleagues and depicting the news organization as a place where the free exchange of ideas was no longer welcome. Source

Ms. Weiss bills herself as a non-ideological centrist.  A position that seems to be borne out in media reactions to her resignation.

Liberal media sentiment: “Good riddance”; Conservative media: “Nice try, Dani”.

TV

What’s noteworthy is the scathing resignation letter that Ms. Weiss wrote and published online.

Here are some snippets….

Read the rest of this entry »

July 15: C-19 DATA DASHBOARD

July 15, 2020

Cumulative Deaths 
139,143 Worldometer
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895 Daily New Deaths Worldometer
> 7-day average 739

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Worldometer

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Currently Hospitalized

> 54,000 Current
> 7-day average      48,000
> April 22 peak        59,000
> June 21 low point  28,000

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RonaViz

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Confirmed Cases

> 65,594 New Cases Worldometer
> 7-day average    63,693
> Highest day        68,000  July 10
> April 24 peak      36,291
> June 8 low point  17,414

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RonaViz

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Worldometer