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<p>I just found (maybe just added?) the mode setting for this one to
change deaths to deaths/100,000</p>
<p><a
href="https://covid19.healthdata.org/united-states-of-america/new-mexico">https://covid19.healthdata.org/united-states-of-america/new-mexico</a></p>
<p>settings menu-icon in the upper-right hand side of each chart.
Seems to persist across locations.<br>
</p>
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<div dir="ltr">FWIW the population density of New Mexico is
17/mile^2 and in India 1202/mile^2.</div>
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<div dir="ltr" class="gmail_attr">On Wed, May 6, 2020 at 4:13 PM
uǝlƃ ☣ <<a href="mailto:gepropella@gmail.com"
moz-do-not-send="true">gepropella@gmail.com</a>> wrote:<br>
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<blockquote class="gmail_quote" style="margin:0px 0px 0px
0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">I
don't think so. Doubling time (under non-ideal lockdown
conditions) conflates density with the other measures. If a
sparsely populated area has the same doubling time as a
densely populated area, the doubling time graph might gloss
over how *badly* the sparsely populated area is doing in
controlling the spread. So, in order to really grok the
doubling time graphs, you have to have a feel for the relative
densities. Feel free to correct my faulty thinking.<br>
<br>
I think the deltas (as in the graphs I've posted) are a good
compromise. They're still in the same units (# of people) and
show larger deltas for larger populations. However, I *would*
like to divide out area (e.g. square meters) of whatever
region's being plotted. I think Δcases/m^2 would be
interesting.<br>
<br>
On 5/6/20 2:49 PM, <a href="mailto:thompnickson2@gmail.com"
target="_blank" moz-do-not-send="true">thompnickson2@gmail.com</a>
wrote:<br>
> Doesn’t doubling time handle that problem? <br>
<br>
> On 5/6/20 12:59 PM, Steven A Smith wrote:<br>
>> <br>
>> This just underscores how hard it is to make sense
out of absolute numbers, or more to the point, numerators
without denominators. At least some of the charts of
absolute numbers (as long as they are not renormalized from
situation to situation) provide a visual estimation of
"slope".<br>
<br>
-- <br>
☣ uǝlƃ<br>
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<div dir="ltr" class="gmail_signature">Frank Wimberly<br>
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