{"id":1788575,"date":"2020-03-31T15:15:13","date_gmt":"2020-03-31T19:15:13","guid":{"rendered":"https:\/\/www.maproomblog.com\/?p=1788575"},"modified":"2020-03-31T15:15:13","modified_gmt":"2020-03-31T19:15:13","slug":"still-more-coronavirus-maps","status":"publish","type":"post","link":"https:\/\/www.maproomblog.com\/2020\/03\/still-more-coronavirus-maps\/","title":{"rendered":"Still More Coronavirus Maps"},"content":{"rendered":"
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Kera Till<\/figcaption><\/figure>\n

Kera Till<\/a>\u2019s \u201cCommuting in Corona Times<\/a>\u201d is a transit map of the new normal. More at Untapped New York<\/em><\/a>.<\/p>\n

On a personal level, the coronavirus map I stare at the most is the one closest to home: a dashboard that shows the regional incidence of COVID-19 in Quebec<\/a>. Maintained by two geographers at Laval University, it\u2019s extremely helpful in that it shows the per capita rate as well as the raw numbers, which highlights (for example) just how many cases there are in the Eastern Townships, and how few there are here in the Outaouais, as a percentage of the population. [Le Droit<\/a><\/em>]<\/p>\n

\"New<\/a>Less helpful is New York City\u2019s map<\/a> showing the percentage of patients testing positive for COVID-19, because its neighbourhood detail is so difficult to interpret, as Patch<\/em>\u2019s Kathleen Culliton points out<\/a>. \u201cNeighborhoods are designated by numbers instead of name\u2014408 is Jamaica, Queens, by the way\u2014and the percentages are not connected to population data but to those tested. The number of people tested per zone? Not included. The population [per] zone? Not included.\u201d [Kenneth Field<\/a>]<\/p>\n

It\u2019s hard to maintain social distancing in a dense urban environment like New York, but that doesn\u2019t mean that rural areas are inherently safer. Identifying areas that would be hit harder by the coronavirus can be a factor of age and various social vulnerability factors (such as poverty and vehicle access); John Nelson looks at the intersection of age and social vulnerability in this StoryMap<\/a> and this blog post<\/a>. The Washington Post<\/em>\u2019s maps of vulnerability<\/a> are based on age and flu rates. A third example is Jvion\u2019s COVID Community Vulnerability Map<\/a>, which is based on anonymized health data from some 30 million Americans [ZDNet<\/em><\/a>].<\/p>\n

The New York Times<\/em> maps the number of cases at the global level<\/a> and for the United States<\/a>. It\u2019s also making available county-level coronavirus data<\/a> assembled from various states and counties, since there seems to be no single agency tracking this at the national level.<\/p>\n

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Want to see the true potential impact of ignoring social distancing? Through a partnership with @xmodesocial<\/a>, we analyzed secondary locations of anonymized mobile devices that were active at a single Ft. Lauderdale beach during spring break. This is where they went across the US: pic.twitter.com\/3A3ePn9Vin<\/a><\/p>\n

— Tectonix (@TectonixGEO) March 25, 2020<\/a><\/p><\/blockquote>\n