Mom Always Said Wash Your Hands

Today is a perfect time to honor our healthcare professionals, celebrate international women’s month, and remind you to lather up. Consider it a threefer. All hail to midwives, nurses, and mom.

Poster from Foodsafetynews.com. October 15, 2016 was Global Handwashing Day, though we might have missed that.

Aqueducts and Aquamaniles APlenty

Contrary to some beliefs, bathing and hand-washing is not a historically recent phenomenon, but was a practice widely dispersed across many cultures for centuries. The Romans, Greeks, Mesoamericans, and Japanese all incorporated bathing into their daily routines. Even into the Dark Ages, where food was eaten mainly with the hands, it was customary to rinse off before dining. Special ewers were provided for noble feasters, but even commoners might prepare a hand-washing solution with herbs, like making tea.

Pour faire eaue a laver mains sur table mectez boulir de la sauge, puis coulez l’eaue et faictes reffroidier jusques a plus que tiedes. Ou vous mectez comme dessus camomille et marjolaine, ou vous mectez du rommarin, et cuire avec l’escorche d’orenge. Et aussi feuilles de lorier y sont bonnes.

To make water for washing hands at the table. Boil sage, strain the water and let cool to a little more than tepid. Or take camomille and marjoram in stead [of sage], or rosemary, and boil with orange peel. Bay leaves are also good.

From Coquinaria, A Recipe for Washing Hands
A medieval aquamanile, for rinsing hands before dinner. Photo at Coquanilia.
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Gimme Shelter, Gimme Testing Data

On Day 2 of our Alameda County Shelter-in-place order, I am creating graphs, mostly for my sanity. Today’s topic is data, in particular, Covid-19 testing data. If you’re a data geek like me, this is for you.

I have blathered on for days (?or is it weeks? I’ve lost track…days seem like weeks) that our biggest problem right now is lack of testing. We don’t know what we don’t know. Because the U.S. didn’t roll out testing capacity early on, people who feel sick or at risk for Covid haven’t been able to get tested. We’ve heard that for weeks and are still hearing it. Because people who know they’re sick can’t get tested, we have no idea who is sick and how many would test positive. Without knowing that, everyone has to STOP moving. That’s the problem right now.

Yes, it’s definitely a problem that hospitals are starting to become overwhelmed and might become swamped. It’s definitely a problem that travel is cancelled and that there is a black market for toilet paper and sanitizers. (Anybody know where we can get some ramen? That turns out to be a big concern in our house.) It’s an even bigger problem that we don’t know how long this will last, and we won’t know until there’s a robust testing structure in place. South Korea put in an excellent testing structure early on, and they seem to be moving into a better part of the pandemic curve. We can learn something from their experience, and we can learn something looking at data.

The Most Important Data Is Under-Reported

The problem has been a lack of good data, and good testing data is still hit and miss. In a world that’s used to hitting the “refresh” button every minute and seeing numbers update, having data that is only reported every few days or not at all is killer to the psyche. Up until about a week ago, data on how many people were being tested was nearly impossible to find. This was due partly because few had been tested; I might also speculate that some didn’t want the public to know just how few that was.

I can illustrate this by looking at Daily Case data compared with Daily Testing data. Here is the number of cases in California, shown per day and total to date. By the way, note that the red bars (daily cases) are linked to numbers on the left side and the purple line (cases to date) linked to the right side. Showing data on different axes is important because if you show cumulative and daily on the same graph, the cumulative would make the daily increases too small to see. You would have no sense of the underlying infection curve.

Graph of California Covid cases
Graph by kajmeister based on data sources in COVID Tracking project.
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Extraordinary Woman, Extraordinary Times

Here’s a great story to brighten your day and bend your attention away from That Other Thing that’s on our minds.

Suppose you were Michael Jordan or Tom Brady, the greatest player of a sport in your generation, in the middle of your statistics-blowing career, on your way to winning the Nth of your many championships–and you just decided to take a few years off to help the world? Nuts? Unheard of? No one would do that?

Maya Moore did it.

Maya Moore, as a freshman, in the Boston Globe, photo by Bob Child.

What Makes a Legend

In college, Maya Moore was such an annoying player!–for everyone who wasn’t a UConn fan. Even when she was a freshman, the Boston Globe was suggesting she could be “the best female player ever,” as she began to amass statistics and wipe out opponents. The coach was comparing her to Derek Jeter, and he wasn’t wrong. Moore was always where the ball was, on offense and defense, until opposing coaches would just throw up their hands. She helped lead Connecticut to two back-to-back national championships, a 90-game winning streak, and an overall record of 150-4 in her college career.

I was a fan of northern California teams that she beat and would cringe every time I heard her name. Which was every twenty seconds. When you watched her play, she seemed to be on another level from everybody else. Hold that thought.

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