Miss our media webinar yesterday showcasing the new @JohnsHopkins U.S.-specific COVID-19 map w/ county-level data? Updated daily, the map will be useful for everything from local reporting to larger trend stories to data viz pieces. A few highlights https://abs.twimg.com/emoji/v2/... draggable="false" alt="👇" title="Down pointing backhand index" aria-label="Emoji: Down pointing backhand index">:
https://bit.ly/3cn7qH1 ">https://bit.ly/3cn7qH1&q...
When viewing the new U.S. map (a complement to our global map https://coronavirus.jhu.edu/map.html ">https://coronavirus.jhu.edu/map.html&... developed by @CSSE), users can toggle between views of confirmed cases, cases by population, deaths, & fatality rates. Click on a county https://abs.twimg.com/emoji/v2/... draggable="false" alt="📍" title="Round pushpin" aria-label="Emoji: Round pushpin">for a pop-up displaying county data and an infographic.
Clicking on the infographic expands it to show 3 main sections: 1) health facts and infrastructure; 2) population; and 3) policies and cases. @biblauer of @civicimpact_jhu said the addition of these data creates an opportunity to look at COVID-19’s impact on the local level.
These data are crucial to better understanding how COVID-19 spreads, said @JenniferNuzzo of @JHSPH_CHS. Relying solely on reported cases gives a limited picture of the trajectory the United States is on and when we’ll reach the upper limits of health care capacity.
Breaking the numbers down on a national and state level helps everyone more clearly see what portion of a state is most affected and how to effectively deploy resources https://abs.twimg.com/emoji/v2/... draggable="false" alt="🏥" title="Hospital" aria-label="Emoji: Hospital">
The new map’s population data help show risk factors so scientists & policy makers can better predict outcomes based on who has access to health care, which populations have health conditions that make them inclined to more severe disease, etc.
These data also inform conversations about when we can return to “normal.” No community is an island, so it’s critical to be mindful of how each community is affected and intertwined.
By hovering over these charts, you can view a detailed breakdown of each statistic. Tamara Goyea, senior data scientist at @JHUAPL, hopes that over time, even more data can be added to these charts.
Similarly, you can click on each icon at the bottom of the county-level infographic for definitions and data sources.
Watch a recording https://abs.twimg.com/emoji/v2/... draggable="false" alt="📹" title="Video camera" aria-label="Emoji: Video camera"> of the webinar here: https://www.youtube.com/watch?v=6kZDXeJW6BM">https://www.youtube.com/watch...
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