Covid-19 Update: 13 September

Apologies for the lack of posting last week. I’m on deadline for, well, today. Plus I had some technical difficulties on the server side of the blog. But it’s a Monday, so we’re back with Covid updates for Pennsylvania, New Jersey, Delaware, Virginia, and Illinois.

New cases curves for PA, NJ, DE, VA, & IL

The good news, such that it is during a global pandemic, is that in Pennsylvania, Delaware, and Illinois, the seven-day average appears to be lower than this time last week or, especially in Delaware’s situation, about to break. For the First State, I’m looking at those days prior to the weekend below the average line that, in combination with the weekend, will likely begin to push that trend downward, especially if we keep seeing fewer and fewer cases this week.

Unfortunately, some states like Virginia and New Jersey appear to be, not surging, but experiencing low and slow growth. Low and slow, while great for barbecue, is less than ideal during a pandemic. Granted, it’s better than the rapid infections we saw in March, April, and May, but it still means the virus is spreading in those communities.

Death curves in PA, NJ, DE, VA, & IL.

When we look at deaths from Covid-19 in these five states, the news is better. The only real significant level of deaths was in Virginia, but we can see that the latest little surge, which was at peak last week, has now all but abated, almost to a level not seen since the spring.

The other states remain low with, at most, deaths average about 20 per day. Again, not good, but better than hundreds per day.

Credit for the pieces is mine.

Covid-19 Update: 7 September

Yesterday was a holiday in the States, and so let’s begin this shortened week with a look at the Covid situation in Pennsylvania, New Jersey, Delaware, Virginia, and Illinois.

If we compare this morning’s charts of yesterday’s data to last Monday’s, we can see some concerning trends.

New case curves in PA, NJ, DE, VA, & IL.

In Pennsylvania, that includes a rising trend. Anecdotally, that might be tied to the outbreaks in and around universities. We see rising trends in Delaware and Virginia as well, though some of Delaware’s new numbers might be tied to some cases that failed to initially make into the state’s digital database. And so as the state begins to enter them now, it artificially inflates the new case numbers.

Illinois had an enormous spike of cases from a backlog that the state entered, over 5,000 new case in that one day. That’s going to mess with the average trend given the size of the anomaly. So we’ll need to wait until later this week to see where the trend really is.

Then in terms of deaths, the most worrying state was Virginia which last week was mid-peak. But that appears to maybe be trending back down. Though the data we have does include two day’s of weekend numbers and Tuesday’s numbers, instead of the usual “rebound” will be more of the usual weekend depressed numbers.

Death curves in PA, NJ, DE, VA, & IL.

Credit for the pieces is mine.

Pretty Much My Life These Days

It’s another Friday. Which means another work week come and gone. Most of my days now consist of Covid-related work. A couple of months ago, Memorial Day began the surge in Covid-19 cases. Hopefully people take it more seriously now, and everyone masks up and stays distant so that Labour Day does not become a new big inflection point. Consequently, this piece from xkcd feels most appropriate.

For my American audience, since it is a holiday weekend, again, enjoy Labour Day. For my British audience, you already had your summer bank holiday. For everyone, have a good weekend.

Credit for the piece goes to Randall Munroe.

Shipping Out of Boston

Monday was the trade deadline for this year’s attempt at a baseball season. The Red Sox actively sold off parts of their roster. You may remember that just two years ago, the Red Sox won the World Series, the sport’s national championship. One would imagine that two years later, most of that championship calibre roster would remain.

You would be wrong.

Well over half that roster is gone. And to prove it, I bought a t-shirt to celebrate. The t-shirt’s design featured the World Series roster on the reverse. (To be fair, there was a mistake as Brandon Workman, who had been on the ALDS and ALCS teams was removed for Drew Pomeranz. But Pomeranz is also gone and so what do you know, the math still works.) I simply crossed out who is no longer with the team.

Some people retired, like Steve Pearce, who, despite being World Series MVP, had his body simply give out and could no longer play the sport two years later. Others, like Blake Swihart, were really only on the roster so that they would not be lost to waiver claims. Still others, like Joe Kelly, understandably left in free agency for deals that were probably way overpriced. And others like Mitch Moreland were simply traded at the end of their contracts for potential prospects to build the next winning team.

And then there are the others.

Brock Holt, a fan favourite super utility, a verifiable Brockstar, who the Red Sox never really entertained any notion of retaining this past off-season. Jose Peraza is no Brock Holt.

And of course, last but certainly not least, we have the Mookie Betts situation. Because ownership has got to make its millions. A homegrown, fifth-round draft pick who was originally slotted into second base. As he began to rise through the system the thought was to trade him, because Dustin Pedroia blocked him in that position. Well someone, somewhere (probably no longer in the organisation) had the idea of let’s try him in the outfield. 2018 MVP much?

But he was traded to the Dodgers this off season because ownership wouldn’t agree to an extension, a pricey one to be fair, but one that an ownership group and a particular owner that includes (in whole or in part) the Red Sox, Fenway Park, NESN, Roush Fenway Racing (controls two NASCAR cars), and in the UK, Liverpool FC, and Anfield, home of Liverpool FC. So, you know, they have some money. But they wouldn’t commit to paying a homegrown star his due to have him play his entire career in Boston.

So they flipped him to the Dodgers for a few prospects and one player, Alex Verdugo, who has a checkered past with allegations of being present near a sexual assault (though he is not alleged to have assaulted the victim, being as he was reportedly in the other room) and then more directly recording on Snapchat the beating of aforementioned victim by two other women who were in the room. None of this has been proven in court, however, because none of it was thoroughly investigated, allegedly because the Dodgers and their director of player development, who would later go on to manage the Phillies and now the Giants, did not really want it fully investigated. And by all accounts, the incident will never be fully investigated and so we’ll never really know what happened in that hotel room.

They traded Mookie Betts, generally perceived in the media as all around nice and humble guy, and also a champion bowler, for saving some money, two minors prospects, and Alex Verdugo.

Credit for the original shirt goes to somebody on either the MLB or Red Sox design teams I would assume. The annotations are, of course, my own work.

Wear a Mask

It sounds so easy, but too many don’t do it.

Yesterday, Agence France-Presse published an article about a recent study in the Journal of the American Medical Association that examined the efficacy of the coronavirus’ airborne spread potential.

The study centred on a bus trip in eastern China from January, before the widespread adoption of masks as common courtesy let alone mandated safety equipment. Nobody on the bus of 68 travellers wore a mask and the bus’ air conditioning system recycled the air inside the vehicle. (Remember the importance of cycling and filtering air inside subway cars?)

Researchers then mapped the location of patient zero, conveniently from my point of view in the centre of the bus. It should also be noted that patient zero was also asymptomatic at the time of the bus trip. Then researchers mapped the seats of those infected on the bus and this is what they found.

One of the key findings is these conditions, recirculated air amongst people not wearing masks, the virus was able to infect people outside the 2-metre safety radius (6-feet in the non-metric States).

Now from a design standpoint, I really like this graphic. It shows people’s seats and their condition to show the physical spread of the virus from patient zero. (Eerily, people far away were infected whilst one person sitting next to patient zero remained uninfected.) Not only that, but from a chain of transmission standpoint, the designer also included how many people these newly infected victims infected. Some infected nobody further whilst others infected up to four additional people.

My only real quibble here is with the colours used for the status of the infected. I think the light grey works well for those who were not diagnosed with Covid-19. But the green, yellow, blue, and red don’t quite work for me here. The value of the yellow is too close to the grey and consequently almost the mildly symptomatic people fall almost into the background. Compare that to the asymptomatic victims in green, who appear far more prominently.

I understand the desire to progress from mild to moderate vs. asymptomatic. So I wonder if those with mild symptoms were given a light blue and those with moderate a dark blue to contrast with the asymptomatic green. Of course, we still run into the red-green issue, but the dotted circle around patient zero mitigates that concern.

Remember, this was all among people not wearing masks. This piece strongly shows how important it is to wear a mask—not just to reduce the risk of receiving the virus, but to reduce your risk of spreading the virus if you are an asymptomatic case. (To be fair to the people on the bus, we knew very little about the virus in January and who knows what they knew as China was still attempting to downplay the virus.)

The point? Wear a mask.

Credit for the piece goes to John Saeki.

How Are Officers Dying in the Line of Duty

Lately we have seen a few incidents of violence amid the large mass of peaceful protests in Kenosha, Wisconsin and other places across the United States. With death on both sides of the protest line, the situation risks devolving into chaos. Though the governor of Wisconsin has sent in National Guard troops (with some additional units later dispatched by the President) to tamp down on the violence, the threat of chaos remains. And sadly the President admitted during a television interview last night that his trip later today to Kenosha is meant to drive up the enthusiasm for one side of those protest line.

Another element that the President also adds when discussing this law and order theme is the threat to the rank and file law enforcement officers in the line of duty. And there have been incidents of violence. As Vice President noted in his acceptance speech at the Republican Convention last week, a federal law enforcement officer died in Oakland, California at the hands of a protestor. Interestingly, while Pence implied that the protestor was from the left, that particular alleged murderer was actually from a right-wing anti-government group. But the point here is to acknowledge that law enforcement officers in the line of duty to face certain threats.

However, is the threat of dying from a protest turned violent the most dangerous threat?

No, it isn’t.

Data from the Officer Down Memorial Page, which tracks the deaths in the line of duty for officers across the United States, shows that there is one threat that has killed more than 3-times as many LEOs as has gunfire. What is it? What else could it be? Covid-19.

So remember as the President speaks in Kenosha today about the dangers posed to law enforcement that yes, there have been a few incidents of violence directed at law enforcement in protests turned violent. But that the violence has not all been from the left, but also from the right.

And more importantly, the biggest threat to law enforcement remains that which is the biggest threat to all Americans: Covid-19.

Credit for the piece is mine.

Covid-19 Update: 30 August

After dealing with hurricane forecast plots last Monday, we’re back to the nature-made, man-intensified disaster of Covid-19 in the United States. So in the five states we review, where are we with the pandemic?

Compared to the charts from two weeks, looking at daily new cases, in some places we are in a better spot, and in others not much has changed. In fact Illinois is the only place worse off with its seven-day average higher than it was two weeks ago, but not by dramatically much.

New cases curve in PA, NJ, DE, VA, & IL.

In fact we see in Pennsylvania, New Jersey, and Delaware that the average number of daily new cases is lower than it was two weeks ago. Virginia dipped lower, but has recently returned to approximately the same level and in that sense is in no different a place. Of course the key factor is how those trends all change over the coming week.

But what about in terms of deaths?

Deaths curve in PA, NJ, DE, VA, & IL.

Well here there is bad news in Virginia. Two weeks ago a spike in deaths there had largely subsided. Two weeks hence? We are in the middle of a third spike of deaths, reaching nearly 20 deaths per day.

Fortunately, the other four states remain largely the same, and that means few deaths per day. Indeed, for Pennsylvania and New Jersey that means deaths in the low double-digits or often in the single digits. Delaware has not reported a new death in four days. And Illinois, while up a little bit, is in the low single-digits, but generally just a few more deaths per day than Pennsylvania and New Jersey.

Credit for the piece is mine.

Pence’s Jobs Claim: Fact Checked

I watched Vice President Prence’s convention speech last night. He made several claims, including one about the Trump administration creating 9.3 million jobs over the last three months.

That’s a lot of jobs. So I wanted to check and see if that was true.

It is. over the last three months, the administration has created 9.3 million jobs.

But in the two months before that?

They lost 22.2 million jobs.

They have another 12.9 million jobs to create just to get back to where we were, and that doesn’t include the jobs required for the natural increase in population and immigration.

Credit for the piece is mine.

The UK’s Most Popular Baby Names

Today’s piece comes from a BBC piece that visualises the most popular baby names in the UK along with the largest winners and losers in name popularity. The article leads with the doubling of babies with the name Dua, from a singer named Dua Lipa, and more than doubling those with the name Kylo, from a character in Star Wars. Of course, those are not the most popular names in the United Kingdom. For boys it’s presently Oliver and for girls, Olivia.

Naturally the piece has a bar chart for each sex and their ten most popular names. But later on in the piece we see two set of graphics that look at those names with the fastest rises or declines in popularity. I chose to screenshot the winners.

It makes use of essentially sparklines, a concept that features small line charts that really focus on direction instead of levels. Note the lack of axis labelling to inform the reader the line’s minimum and maximum. Instead the minimum and maximum are the absolute vertical range of the line.

What this chart attempts to do, however, is hint at those ranges through colour. By using a thicker weight, the line encodes the number of names in the colour. Compare Arthur, whose line ends in a dark bluish colour, to that of Arlo or Grayson, whose names also end in their peak, but in a light bluish colour. All three names have risen, but in terms of absolute levels, we see far more Arthurs than Graysons. Holy popularity, Batman.

When it comes to communicating the size of the names’ popularity, I am not entirely convinced about the idea’s efficacy. But, it lands more often than not. Can I compare Ada to Hallie? No, not really. But Ada vs. Theo is fairly clear.

Could the same effect be accomplished by a sorting order? Say the names were grouped by those who have numbers in 2019 that fall between 3,000 and 4,000, then another range of 1,000–2,000, and so on.

I also wonder if the colours in the bar charts could have been linked to those of the rising and falling names? Keep dark green for the boys’ names and purple for the girls’. It could have made a more solid thematic link between the graphics. As it is now, there seems no rhyme nor reason for the colour choices.

Finally the article has two tables that list the most popular names for each sex for each region. There’s nothing really to improve in the table’s design. The rules dividing rows and columns are fairly light so we don’t have to highlight that usual fault.

Overall, it’s a strong article with some nice visualisations.

Credit for the piece goes to the BBC graphics department.

A Foot by Any Other Name

Measurement systems are important. They allow us to compare objects, buy and sell goods, and get from Chicago to Philadelphia. The latter, according to Google, is 759.6 miles. Or 4,010,688 feet.

But what feet?

In this piece from the New York Times we get a look at the two different foot measurements used in the United States. The article provides insight into the history of why we have a standard system of measurement.

Accompanying the wonderful article is an illustration showing how those two feet differ. It’s a simple, scaled illustration. But it does the job.

Of course we would all be better off if the United States joined the rest of the world in using the metric system. Like that time we lost a space probe because we failed to convert from English imperial to metric.

Credit for the piece goes to Eleanor Lutz.