24 March 2020 – #363: in other news
The data newsletter by @puntofisso

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Made with remote but warm ❤️
What a week. I have been working fully remotely with my team, which meant re-learning our rituals and comms patterns while also dealing with COVID-related events and data. Not an easy one. If you work from home too, take a look at this Remote Work Survival Toolkit being developed by Chris Weston and others, it's pretty useful.

Work-wise, I resolved to keep marching on as if things were normal, understanding how to implement things remotely. So I'm still looking for a data technologist to lead my data tech team at the Department for Transport (also on LinkedIn). 

But it was a hard week in many ways. So my brain is a little depleted and I've found myself staring at this screen for ten minutes, before deciding I maybe don't have much to add. Apologies if this week's links are mostly about Coronavirus. There isn't much else happening.

Till next week,
––Giuseppe @puntofisso

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In other news

Let’s look at the emotional range of Rihanna GIFs.
Well, it's not just Rihanna, but a full set of other famous meme characters.
Just to start with something cheerful and unrelated to COVID.

6 weeks of activity on DataisBeautiful (also, Coronavirus)
Erin Davis strikes again, showing an unparalleled ability to carve dataviz out of anything.
"I was interested in making a visualization to show the rhythms of [Reddit] posts rising and falling, rising and falling."
It also includes a chart of posts related to COVID-19.

Why outbreaks like Coronavirus spread exponentially, and how to "flatten the curve"
Kudos to the Washington Post for allowing this story to be shared for free, this side of the paywall. You've probably seen this already by now, but it's worth resharing and it's pretty brilliant. Note: it is not an exact description of how Coronavirus spreads, but it's a good way to grasp how it all works.
Epidemic Calculator
If you're generally interested in simulating outbreaks, this interactive calculator/simulator will come in handy.
"This calculator implements a classical infectious disease model — SEIR (Susceptible → Exposed → Infected → Removed), an idealized model of spread still used in frontlines of research. The dynamics of this model are characterized by a set of four ordinary differential equations that correspond to the stages of the disease's progression."

Research Output: Alternative measures of housing affordability
This is a brilliant piece of work from the ONS.
"The aim of this Research Output is to improve understanding of housing affordability by reflecting on the different circumstances that can affect whether housing is affordable or not. This article explores alternative measures of housing affordability in England."
It includes an interactive Housing Affordability calculator.

COVID-19 outbreak response: first assessment of mobility changes in Italy following lockdown
This is the first report analysing lockdown measures in Italy.
"Here we report preliminary results on tackling the above challenges by using de-identified, large-scale data from a location intelligence company, Cuebiq, that has instrumented smartphone apps with high-accuracy location-data collection software."
It includes a few maps and a network analysis of inter-province travel.

The WHO said to stop calling it "Chinese" coronavirus, but Republicans didn't listen
"Over the past few days there's been a noticeable uptick in conservatives using the terms 'Wuhan virus' and 'Chinese virus,' according to a new report from The Atlantic Council’s Digital Forensic Research Lab provided exclusively to Axios."
US Health Weather Map
"The U.S. Health Weather Map is a visualization of seasonal illness linked to fever - specifically influenza-like illness. The aggregate, anonymized data visualized here is a product of Kinsa’s network of Smart Thermometers and the accompanying mobile applications. Kinsa is providing this map and associated charts as a public service.
The map shows two key data points: (1) the illness levels we’re currently observing, and (2) the degree to which those levels are higher than the typical levels we expect to see at this point in the flu season."

With a massive caveat that it might not be representing COVID-19 (or not just COVID-19), this map is amazing in what it tells us, alongside the obviously raised eyebrows if we think about the privacy implications.


🗂️ 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE 
🗂️ Housing affordability ratios for Middle layer Super Output areas (ONS)

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