Like I said yesterday, I wanted to compare cities, surprise, Philadelphia vs. Chicago. And so with some extra time I was able to finish this graphic that took the data from Climate Central to compare the two cities.
What you can see below is that Philadelphia has seen more significant temperature growth in both summer highs and summer lows. And, importantly, the increase in low temperatures, i.e. nighttime, has been greater than that of daytime highs. That means that we have less of an opportunity to cool down after a hot summer day, adding stress to the system.
Chicago on the other hand has seen less overall growth, though it’s still present. And there too we see the same pattern of greater increases in low, i.e. nighttime, temperatures than of daytime highs.
It’s all unbearable
It’s remarkable to think that the flat where I lived seven of my eight years in Chicago had no air conditioning unit in the bedroom, only in the living room. It was, of course, an older concrete building from the 1960s/70s when, as the chart above shows, nighttime temperatures didn’t really require air conditioning.
But like I said yesterday, I’m just glad I’ve been able to crank the air conditioning the last several days.
First, I should say that I don’t have a lot to say about this graphic because I went back to the source because I was interested in another city and I wanted to compare the two. In other words, expect a small graphic follow up to this maybe tomorrow.
Anyways, over the last few years since returning to Philadelphia after eight years away in Chicago, I’ve had numerous conversations with different people about how “I don’t remember it always being this hot before”, which is particularly relevant as the Philadelphia region endures excessive heat. Thankfully, it’s not nearly as bad as the Pacific Northwest. Also I have air conditioning blasting next to me as I type this out, so, you know.
The common refrain in these conversations, however, tends to be less about how we have high temperatures and more about how it’s difficult to sleep at night. And there’s a reason for that as this article from the Philadelphia Inquirer explains, our average summer low temperatures are rising, and rising faster than our average summer high temperatures.
Yep, definitely getting warmer.
Of course you can probably already see where I was going with this. The Inquirer linked to their source and that’s where I’ve spent my time this morning, alas, I didn’t quite have enough to finish what I started and so this post will have to do.
Credit for the piece goes to the Philadelphia Inquirer graphics department.
Technical difficulties prevented me from posting yesterday morning. But we’re back today and even though it’s a Tuesday, I wanted to begin the week with a post about the current status of Covid-19 in Pennsylvania, New Jersey, Delaware, Virginia, and Illinois.
Broadly speaking, things continue to improve. I don’t have all the vaccination data plugged in yet as I have to admit that as life begins returning to normal the time considerations of keeping track of Covid is not always insignificant. But I do at least have the new cases and deaths to look at and compare to last week.
When we look at new cases, we can see some divergent patterns at the margins.
New case curves for PA, NJ, DE, VA, & IL.
In the tri-state area, new cases continue to fall. Pennsylvania reported just 104 new cases yesterday and its seven-day average fell to 177. That’s great news. And in New Jersey, the daily new cases fell to 104 and the average to 176. And in Delaware the daily number was just 18 and the average 19.
On the other hand we have Virginia and Illinois. First, I should note that for the second straight weekend, Illinois did not report data. I think we can begin to assume this will be the new reporting schedule moving forward. Last week that impacted the seven-day average, but now that it is a periodic event we can see it accounted for in the average of 248 new cases per day.
The issue is that 248 is greater than last week’s average of 233 of the averages. In other words, there is some indications the virus is spreading once again. Though, the week-to-week numbers offer a slight hope. Last Monday we had 755 new cases—keeping in mind that no new cases were reported Saturday and Sunday—and yesterday 747. That is down, though not a lot. We will need to keep an eye on Illinois’ data and how it progresses through Friday.
In Virginia we see a similar pattern as that of Illinois. Week-to-week, yesterday’s number was just 88 new cases and last week’s 116. That’s good. However, a look at the seven-day average shows some reasons for concern. Last week we were discussing Virginia’s fall to 129 new cases per day. But as of yesterday the average has climbed back up to 165. And that’s not a one-day jump. Instead since that nadir of 129, the seven-day average steadily climbed each day last week. That suggests new cases may be spreading in Old Dominion once more. But let’s wait one more week before we begin to become overly concerned as 165 is still lower than the month’s current average of 169.
Deaths present us with the opposite pattern, however.
Death curves for PA, NJ, DE, VA, & IL.
Last week we looked at new lows for the tri-state area whilst Virginia and Illinois saw slight increases. I even suggested that we could see death rates in Pennsylvania slip into the single digits.
Well instead we saw slight increases in the death rate in Pennsylvania, New Jersey, and Delaware. Again, nothing massive. But on 20 June we had an average of 11.6 deaths per day in Pennsylvania and yesterday the average sat at 12.4. Not huge, and within a rounding of being the same number, but still an increase. Delaware had been at 0.6 deaths per day, so an increase to 1.6 is an increase, but there’s very little room left to improve when your average falls below 1 per day.
In New Jersey we saw perhaps the most concerning rise, though again still slight by comparison to the entirety of the pandemic. The average last week sat at 5.6 deaths per day and we enter Tuesday at 7.6. That is still lower than the numbers three weeks ago, but it’s a rise nonetheless. Like with the new cases, we will want to watch this week to see how the numbers progress.
I don’t have any graphics or tables to present for vaccinations, but the numbers we do have show little to no progress in full vaccinations over the last week. Week-to-week, Pennsylvania, for example, saw an increase of 0.77 percentage points, or only 0.11 percentage points per day.
Now Pennsylvania’s fully vaccinated population rate sits at just a tick under 48%. Not bad. But Virginia is at 50.5%. And when last reported Illinois was 47.3%. We know that herd immunity, which we need to really starve out the virus, is probably above 75%—though likely higher with more transmissible variants of the virus—and we have currently failed to achieve that number.
That’s sad.
To bring my genealogical interest into this conversation, you only need to look to about 100 years ago when our ancestors did not, generally speaking, have access to vaccines. There was a reason people feared becoming ill, you were far more likely to die. But vaccinations eliminated the worst of the worst diseases and at the time people flocked to become vaccinated, recognising that they did not want to live in a world of mumps, measles, smallpox, or polio. If many of our ancestors were alive today, I believe they would be shocked at our society’s broad refusal to be vaccinated.
Thankfully today’s forecast calls for cooler temperatures. Your author is not a fan of hot weather, which means being outside in summer is…less than ideal. It also means that the air conditioner runs frequently and on high for a few months. (Conversely, I can probably count on one hand the number of times I turned on the heat this winter.)
The problem is, the two biggest contributors to US carbon emissions? Heating/cooling and transport. In other words, heating your home in the winter, cooling it in the summer, and then driving your non-electric vehicle.
After the recent heatwave in New England, the Boston Globeexamined the impact of the heatwave on the environment. The article led with the claim it used four charts to do so. I quibble with that distinction because this is a screenshot of the second graphic.
Illustrating is hard
I mean, it’s not prose text. Rather, we have three factettes paired with illustrations. At the top of this post, I mentioned the impact of transport for a reason. In an ideal world, in order to get carbon emissions under control one of the changes we would need to see is getting people out of their personal automobiles and into mass transit. Subways and light rail are far cleaner and can actually be cheaper for households than car ownership. And so we should be encouraging their use and building more of them.
Look above and you’ll see an icon of a subway car. Except it’s not. The graphic/factette is actually talking about rail cars full of coal that transport fuel from mine to generating station. Those look more like this, from James St. James via Wikimedia Commons.
Small, subtle details matter. And so I’d propose a new icon that tries to capture the industrial coal train, ideally something that I spent more than five minutes on.
Illustrating is still hard
But it breaks the linkage between passenger train and coal train, which is not ideal for the purposes of an article highlighting the environmental impacts of US households.
That all said, the article did a really good job with the other graphics it used. My favourite was this chart, decidedly not a combination chart.
Making charts can also be hard, though
It looks at the correlation between high temperatures and energy usage. But, instead of lazily throwing the temperatures atop the bars, the designers more carefully placed them below the energy usage chart. The top chart should look familiar to those who have been following my Covid-19 charts, a daily number that then has the rolling seven-day average plotted above it to smooth out any one-day quirks. The designer then chose to highlight the heatwave in red.
For temperatures, I like the overall approach. But I wonder if a more nuanced approach could have taken the graph a step farther to excellent. Presently we have a single red line representing daily average high temperature. But in the plot above we use red to indicate the heat wave of early June, five consecutive days of temperatures in excess of 90ºF. What if that line were black or grey or some neutral colour, and then only the heatwave was coloured in red? It would more clearly link the two together. And it avoids the trap of red implying heat, when you need to only go back to late May when the East Coast had early spring like temperatures near 50ºF, decidedly not red on a temperature scale.
Overall, though, it’s refreshing to see a thoughtful approach taken here instead of the usual slapdash throw one chart atop the other.
And the rest of the article uses restrained, smart graphics as well. Bar charts and small multiples to capture air pollution and EMS calls. You should read the full article for the insights and the feedback loops we have.
After all, it’s not that the heating/cooling is itself the problem, especially since the removal of CFCs since the Montreal Protocol in 1987 that banned those pesky chemicals that harm the ozone layer—remember when that was the big environmental issue in the 1990s? The issue is how we generate the electricity that powers the heating/cooling systems—and if you want to use electric cars, whence comes their electric charge—as if we’re using coal plants, that just exacerbates the problem. But if we use carbon-less plants, e.g. nuclear, solar, or wind, we’re not generating carbon emissions.
So today’s post will be a little bit shorter than usual. The big reason is probably good, but also worth addressing. States are increasingly less reliable about their data. For several weeks I have mentioned that Philadelphia had not been updating their vaccination data. Last week or two weeks ago I noticed a small line of text had been inserted saying they were ramping down reporting to just two days per week. That’s unfortunate, because Philadelphia County represents 1/9 of Pennsylvania and that can make a significant impact on the Commonwealth’s total numbers.
But this week we have Illinois. There’s been no update since Friday and it’s not clear if this is due to a glitch, or given the coincidence, a change in reporting schedule that omits weekend data updates. Not reporting for a weekend is not a big deal, as states often have to perform back-end server maintenance or clean up data and the best time for that is the weekend. But heretofore, Illinois had been the most reliable state in terms of reporting data.
There was one thing I wanted to address this week, but the lack of Illinois data makes that tricky. So I may have to wait and maybe do it next week or later this week.
Anyway, the data below is not quite as up-to-date for Illinois, but we’ll see how the Land of Lincoln addresses the issue probably today.
New case curves for PA, NJ, DE, VA, & IL.
Otherwise, the numbers are good. Yes, the downward slopes are shallowing out and that is increasingly obvious, but there’s increasingly less room to drop. Pennsylvania, for example, last week was just over 400 new cases per day, but the seven-day average now sits at 261. Illinois last week sat at 336, but as of its last update, that was down to 237. Virginia’s decrease was smaller, from 143 to 129, while Delaware fell from 33 to 27.
Only in New Jersey have we seen the seven-day average rise, from 168 to 179. This was not a one-off spike, however. As the delta variant takes hold in the United States, the variant brings increased ease of transmission and more severe effects for younger populations, the population group last to vaccinate and increasingly seen as not willing to vaccinate. Is this driving the slight uptick in New Jersey we saw last week? It’s too early to say.
But it serves as a reminder to everyone, please, if you haven’t already, get vaccinated.
Deaths now appear to be dropping once again across the board.
Death curves for PA, NJ, DE, VA, & IL.
Last we discussed Pennsylvania bottoming out around that 18 deaths per day level. After a week of declines, that average is now down to just under 12 deaths per day. If we see continued progress, perhaps this time next week I can be writing about the Commonwealth’s seven-day average dropping into the single digits for the first time since April 2020.
Illinois also looked like it was slowing, but again, the lack of data is making it hard to say one way or another. But at last report, the average was down to 14 deaths per day.
Last week we also discussed a slowing rate in New Jersey, and that continued to slow, but still continued to fall and deaths are now at 5.6 per day. And after a rise I noted last week, Virginia is back below double digits and at 6.3 deaths per day.
Delaware actually managed to hit 0.0 deaths per day for a stretch of two days last week as it went a week-plus without a single Covid-19 death. It has had a few reported over the weekend and so that number is up, but still below 1 as we head into the week.
Vaccinations remain the slowing curve that we saw last week.
Total vaccinations for PA & VA.
Thankfully we can see Virginia is now approaching and, hopefully, can cross the 50% fully vaccinated rate by the end of the week. Pennsylvania, again, is hard to gauge. The numbers sit at 46.7%, but the Philadelphia numbers have not updated in four days, so that could add a half percentage point or, earlier in the vaccination push, more. Optimistically, however, we are looking at numbers nearing 50%.
We all know Joe Biden as the Irish American president. And that’s no malarkey. But, go back far enough in your family tree and you may find some interesting ancestry and ethnic origins and that’s no different with Joe Biden. Keep in mind that our number of ancestors doubles every generation. You have four grandparents, and many of us met most of them. But you had eight great-grandparents. How many of those did you know? And you had 16 great-great-grandparents, you likely didn’t know any of them personally. It becomes pretty easy for an ethnic line to sneak into your ancestry.
And in Biden’s case it may well be English. Although sneaking in is probably a stretch, as this BBC article points out, because his patrilineal line, i.e. his father’s father’s father’s, &c., is likely English. Of course back in the day the Irish and the English mixing would have been unconscionable, at least as my grandmother would have described it. And so it’s easy to see how the exact origins of family lines are quietly forgotten. But that’s why we have genealogists.
The article eschews the traditional family tree graphic and instead uses only two charts. The first is a simple timeline of Biden’s direct ancestors.
Biden’s patrilineal timeline
No, it’s no family tree, but timelines are a critical tool used by genealogists because at its core, genealogy is all about time and place. And a timeline has got one of those two facets covered.
Timelines help visualise stories in chronological order. I cannot tell you the number of family trees I have seen where people who create trees casually simply copy and paste data without scrutiny. Children born well after the deaths of parents are common. Or children born to parents in their 50s or 60s—perhaps not strictly impossible, but certainly highly irregular. And so to see Biden’s ancestors plotted out chronologically is a common graphic for those who do any work in genealogy, which my regular readers know is my hobby.
That alone would make the article worth sharing. Because, I enjoyed that graphic. I probably would have created a separate line for the birthplace of each individual, but I quibble.
However, we have another graphic that’s not so great. And once again with the BBC I’m talking about axis lines.
American ethnic origins
Here we have a chart looking at US ancestry as claimed in the US censuses of 1980 and 2000. But we do not have any vertical lines making it easy for readers to accurately compare the lengths of the various bars. Twice lately I’ve postedabout axis lines and the BBC. Third time’s the charm?
We can also look at using these not as bars, but as line charts as I did in this re-imagining to the right.
First, we no longer need two distinct colours, though you could argue the English line should be a highlight or call out colour given its role in the article. Instead each line receives a label at the right and only the English line crosses any other, but given their point-to-point slope, it’s not confusing like a line chart with all years between 1980 and 2000 could be.
Secondly, the slope here of the line reinforces the idea of falling population numbers. The bar chart also shows this, but through a leftward movement in bars. The bar option certainly works and there’s nothing wrong with it, but these lines offer a more intuitive concept of falling numbers.
I also added some clarification to the data definition. These lines represent the number of people who reported at least one ethnic ancestry—at the time US census respondents could enter upwards of two. For myself, as an example, I could have entered Irish and Carpatho-Rusyn. But my own small sliver of English ancestry would have been left off the list.
Ultimately, the declining numbers of responses along with some reporting on self-identification points to the disappearing concepts of “Irish American” or “English American” as many increasingly see themselves as simply White Americans. But that’s a story for another day.
In the meantime, we have Joe Biden, the Irish American president, with a small bit of English ancestry. Those interested in the genealogy, the article also includes some nice photos of baptismal records and marriage records. It’s an interesting read, though I’m hungry for more as it’s a very light duty pass.
Credit for the BBC pieces goes to the BBC graphics department.
Last week I mentioned how the rate of decline in new cases had begun to fall significantly, largely due to two factors. The first is good, that we are reaching low levels of new cases overall, but the second is bad, that we see a large proportion of the population hesitant to receive their vaccines. (The vaccines have been proven safe, effective, and they’re free. If you haven’t received your shots yet, I highly encourage you to do so.)
This past week that trend for new cases largely continued. But another issue I was concerned about was a slight uptick, given that last Sunday’s daily new case data was higher than the previous Sunday’s. So as we look at the chart of new case curves, how are we doing?
New case curves for PA, NJ, DE, VA, & IL.
Good news. Those numbers are back on the decline and, in fact, the daily numbers from this Sunday are lower than those of even two weeks ago. We would have had a more muddled picture if the numbers were lower than last week, but still higher than two weeks ago. This leaves me more assured that the numbers are in fact still headed down and the few upticks are outliers and not a trend.
I also wanted to point out another data point this week. This coming week will mark the one-year anniversaries of the summer lows we saw in 2020. These were the points at which Covid-19 was at its lowest ebb after the initial spring wave and then the rise in cases beginning in late summer and early autumn. This most recent spring, despite the initial burst of reopening, our new case levels never fell to anywhere near the summer lows.
I will chart more of this likely next week as we hit all but one of those milestones. But as a teaser, today, 14 June was the lowest point for Delaware, which on that day had a seven-day average of 46 new cases per day. The average heading into today’s data release? 33. Or in other words, Delaware is averaging almost 25% fewer new cases now than it was at last year’s summer nadir.
But as we head into the week, you can see from the charts above that the numbers for all five states are quite low. Pennsylvania and Illinois lead, but are also some of the most populated states in the country. They sit at 403 and 336, respectively. New Jersey and Virginia, more middle-tier states in terms of population, are also fairly close with their new cases as their averages begin the week at 168 and 143, respectively. Delaware, as we noted above is sitting on 33.
So what about deaths? Last week I discussed a pattern of bottoming out, especially for Pennsylvania and Illinois. Unfortunately, I also noted how Pennsylvania had an aberrant large, one-day spike of deaths that influenced the seven-day average.
Death curves for PA, NJ, DE, VA, & IL.
This week you can clearly see that spike in Pennsylvania phasing out of the data set. That’s good, because it allows us to begin to evaluate the true state of Pennsylvania’s average. That average? 18, which is squarely in line with the average before the spike. In other words, Pennsylvania may have indeed bottomed out.
Illinois, however, has resumed a slight push downward, as the seven-day average yesterday just hit 16, down three from Saturday’s 19. I’ll want to see that trend persist throughout the week before saying that Illinois has resumed declining death rates, but it’s a good start to the week.
In New Jersey and Delaware we continue to see falling numbers of deaths. This time last week we saw a small cluster of deaths that brought Delaware up from 0.3 deaths per day to 2.3. But Delaware is now back down to 0.3, perhaps the lowest it reasonably expected to be. New Jersey had just managed to fall below 10 deaths per day, and it’s nearly halved that at it enters the week at 6.3.
Virginia, unfortunately, is the outlier. Deaths had slipped below 10 for over a week. And last week they fell as low as 7.7. But as of yesterday they have climbed back over 10. We need to watch this week to see if there is truly a rising number of deaths or if we are seeing the emergence of more of a bottom or floor in terms of deaths.
Finally we have vaccinations.
Full vaccination totals
Unfortunately, the City of Philadelphia’s website has been broken for over a week and they’re now only reporting updates twice a week anyway. In other words, the data for Pennsylvania isn’t great. Because while we can report the rest of the Commonwealth, the City of Philadelphia—excluding the suburban counties—on its own represents nearly 13% of Pennsylvania. That’s a huge chunk to be missing.
That leaves us with Illinois and Virginia.
The good news is that they are going up and that Illinois just hit 45% fully vaccinated. Virginia is now at 47%. The bad news is that it took a week for both states to climb up one percentage point. More evidence that vaccinations are slowing dramatically with millions left unvaccinated.
And we’re going to need them to get vaccinated. Consider the United Kingdom, another Western country doing well in its vaccination programme and that had decided to increasingly open up large swathes of its economy.
That is now on hold for another four weeks. The UK had planned to end its lockdown on 21 June, but that will now be extended into the end of July. And it’s all due to the Delta, formerly Indian, variant that has taken root in the UK. It’s more transmissible than the earlier UK variant, which the UK called the Kent variant.
The Delta variant has emerged in small numbers here in the US. But in order to prevent another surge that could threaten our healthcare systems, we need to get people vaccinated. It’s not inconceivable that the US may need to reinstate restrictions or full lockdowns if the Delta variant were to take root and swamp the US healthcare system.
And so I will end this post as I began it. If you haven’t started your vaccination process, I encourage you to do so. The vaccines have been proven safe and effective. And if you’re worried about cost, they’re free.
Two weeks ago I posted about an article from the BBC that used graphics about which I was less than thrilled. Inconsistent use of axis lines, centring the graphic were two of the things that irked me. Two weeks hence, I do want to draw some positive attention to another article in the BBC. This one discusses the, for many of us, impending return to the office. (I’ve also heard the phrase “return to work”, although a coworker of mine pointed out that’s not a great phrase because many of us never stopped working when we decamped for our flats and houses.)
The article discusses why some think the return to a five-day office week will occur within the next few years. There is some sound logic to the idea and for those like your author who are closely following the issue, I recommend the article.
But that’s not why we’re here, instead I wanted to focus on the one data visualisation graphic in the piece. It displays the amount of office space used in the city centres of six different UK cities outside London.
But what about Slough?
Here we have small multiples with the same fixed y-axis display. Axis lines are present and consistent and the baseline is distinct from the other lines. Solid improvement over what we discussed two weeks ago.
My only quibble? The colours here are not necessary. A single colour would work because each city’s graphic exists apart from the rest. The charts also all represent the same type of data, occupied office space. If the chart were doubling or tripling up cities somehow—though I wouldn’t want to see this as a stacked area chart—I would buy the need for colours to differentiate the cities. This, however, represents an opportunity to use a single, BBC-branded colour to define the experience whilst not negatively impacting the communication from the data visualisation standpoint.
Again, though, that’s a minor quibble. Of course, the BBC puts out copious amounts of content daily and I see only a fraction, but it is nice to see an improvement. Furthermore, at the end of the article I also spotted a graphic credit, which I don’t often see—and honestly cannot recall when I last saw period—from the BBC.
I wonder if moving forward the BBC intends to highlight the contributors to articles who are not solely the writers, i.e. the people creating the graphics? Of course, if we did that, we should also probably take a look at the copy editors who also play a role. Especially for an online article as opposed to say a print newspaper or magazine where space is money.
Technical difficulties yesterday. But I wanted to run the latest Covid numbers to start this week of posting, so we’re just going to use the Monday data, which is the lowest of the week since it captures the data reported by authorities on Sunday. That said, where are we?
Last week we began to see a slowdown in the rate of declining cases, though, crucially, cases were still in decline. The good news is that cases continue to decline. The seven-day averages for all five states are now well below 1,000 new cases per day, with Illinois dipping below 500. Only Pennsylvania remains above that level at 544 new cases per day.
New case curves for PA, NJ, DE, VA, & IL.
We are no longer seeing the numbers fall by hundreds per day, most notably in New Jersey, but we remain in a race to the bottom. Unfortunately, with significant numbers of the population refusing vaccination and the near certainty of this coronavirus becoming endemic, i.e. a persistent, circulating virus, we will never reach zero. The numbers at some point will bottom out and a slowing rate of decline could indicate nearing that point.
Death curves for PA, NJ, DE, VA, & IL.
Deaths have continued their even slower decline over the last week. New Jersey’s seven-day average fell into the high single digits for the first time since November. Virginia, which had flirted with single-digit days, has now reported a week-long run of about nine deaths per day. Delaware, due to its low population only reached double digits for most of February, but has seen a slight uptick to over two deaths per day.
The two most interesting states with regards to deaths are Illinois and Pennsylvania, for different reasons. Starting with Illinois, we are beginning to see a pattern of bottoming out. For most of the last week the seven-day average has hovered about 20 with day-to-day changes of one or two additional/fewer deaths per day. We will have to watch over the coming week whether the numbers can resume pushing downwards or if we continue to see this bottoming out.
Then we have Pennsylvania. Through the beginning of the weekend, we saw progress as the Commonwealth’s seven-day average dropped below 20 deaths per day for the first time since October. Two days ago the Department of Health reported an additional 185 deaths, but then yesterday the total number of deaths dropped by 174. I haven’t yet been able to piece together what happened, but it does make the sudden spike in the seven-day average—to 46 deaths per day—a wee bit suspect.
Finally we have vaccinations. And the news is there is no news. Over the last week we have seen almost zero growth in the number of fully vaccinated individuals in Pennsylvania (1.8 percentage points), Virginia (1.53 pts), and Illinois (2.41 pts).
Total full vaccinations in PA, VA, & IL.
If we look at where the cumulative rates remain stuck, however, we see numbers in the mid-40s, short of 2/3 the estimated herd immunity range. The flattening of the curve, indicating slowing rates of vaccination, have become increasingly pronounced. This is not the curve we want to see flattened. Ideally this slowdown would have occurred nearer the 70% range and we could have eased into the estimated herd immunity range.
That said, we are approaching 50% in these three states and numerous communities, though not all, within these states are now over 50% fully vaccinated. But the longer we have largely unvaccinated reservoirs available, the more likely it is we will see new variants emerge that could potentially evolve to be more transmissible or even more deadly.
And so for any of my readers who haven’t received their shots yet, I encourage you to please do so. They’re free, they’re effective, and they’re necessary for us to get back to some sense of normal.
Last week I wrote about how new cases had maybe flattened a wee bit in their rapid drop from peaks earlier this year. But the good news is that even in where new cases declines may have slowed down, they continue to decline.
New case curves for PA, NJ, DE, VA, & IL.
We can see the tails at the right ends are all back to declining shapes. Delaware is perhaps the most deceptive, because remember that there was the anomalous spike from late processing of earlier new cases.
I had noted that deaths had finally seen some data showing them dropping. That has held true to some degree.
Death curves for PA, NJ, DE, VA, & IL.
Indeed, the tails at the end of each state have shown slow declines. Delaware is even near 0 deaths per day. Illinois, however, is an exception with a small increase lately.
Finally, a brief look at vaccinations.
Full vaccination curves for PA, VA, & IL.
You can see that the rate of full vaccinations has begun to slow. All three states we cover are over 40%, though all are below 45%. Pennsylvania is difficult to evaluate, however, because for the last four days Philadelphia has not updated its numbers. And as the largest county by far in the state, it’s shifts can swing the overall state numbers.
