30:T4fc,md` # COVID-19 ^{corona virus pandemic, continued ...} ## Continued ...

This Notebook continues [@episphere/corona](https://observablehq.com/@episphere/corona), outdated by [change in data structure](https://github.com/CSSEGISandData/COVID-19/blob/203881b83c3820521f5af7cafb0d15367e415652/csse_covid_19_data/csse_covid_19_time_series/README.md) and narrowing of reporting scope by Johns Hopkins University [reference repository](https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series). The data sources are now widened to include community initiatives such as [covidtracking.com](covidtracking.com/api) and [NYTimes](https://www.nytimes.com/article/coronavirus-county-data-us.html).

`31:[] 2e:{"title":"COVID-19 corona virus pandemic, continued ...","cells":[{"id":0,"value":"$30","pinned":false,"hidden":false,"mode":"ojs"},{"id":28,"value":"md`\n

Tracking momenta

\nThe rate of change of confirmed cases and letal counts appears to track the pandemic process through differences in testing between locations and time periods. This can be understood by noting that two places with different degrees of testing availability would report the same rates of change during the infections of the same intensity - those different degrees would affect equaly the numerator and denominator of the rate. Confirmed and letal counts are the new time series that JHU is focusing on, so a new method was added to [corona.js](https://github.com/episphere/corona/blob/master/corona.js), corona.getGlobalSeries(status):\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":55,"value":"confirmed = corona.getGlobalSeries('confirmed')","pinned":true,"hidden":false,"mode":"ojs"},{"id":62,"value":"deaths = corona.getGlobalSeries('deaths')","pinned":true,"hidden":false,"mode":"ojs"},{"id":141,"value":"recovered = corona.getGlobalSeries('recovered')","pinned":true,"hidden":false,"mode":"ojs"},{"id":90,"value":"md`\n

Note the data retrieval method was developed with caching in mind. These three time series are now available as part of the core corona object, at corona.series (open object by clicking on triangle). Note how additional time series, such as the aggregation byCountry eventually trickles in when it is used to generate the plot below:\n

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":97,"value":"corona.series","pinned":true,"hidden":false,"mode":"ojs"},{"id":104,"value":"{\n let div = DOM.element('div');\n let P = await corona.plotlyInfectionMomentumByCountry();\n Plotly.plot(div, P.data, P.layout);\n return div;\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":107,"value":"corona.plotlyInfectionMomentumByCountry()","pinned":true,"hidden":false,"mode":"ojs"},{"id":101,"value":"md`\n

Infection momentum by US county

\n[Reportadly](https://www.nytimes.com/article/coronavirus-county-data-us.html), the most timely repository of county-level data is kept by NYTimes in [GitHub](https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv). That data is retrieved and wrangled. \n

\n`","pinned":true,"hidden":false,"mode":"ojs"},{"id":35,"value":"md`\n

Methods

\nSupport javascript library maintained at github.com/episphere/corona.\n

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":40,"value":"//corona = require('https://episphere.github.io/corona/corona.js')\ncorona = require('http://localhost:8000/corona/corona.js')","pinned":false,"hidden":false,"mode":"ojs"},{"id":42,"value":"md`\n

Graphics library, [Plotly](https://plotly.com):\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":47,"value":"Plotly = require(\"https://cdn.plot.ly/plotly-latest.min.js\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":71,"value":"{\n let div = DOM.element('div');\n let dt = {\n x: [1, 2, 3, 4, 5, 6]\n };\n Plotly.plot(div, [dt]);\n return div;\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":75,"value":"corona.plotly()","pinned":true,"hidden":false,"mode":"ojs"},{"id":77,"value":"{\n return corona.plotly(plotDiv);\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":85,"value":"{\n let div = DOM.element('div');\n Plotly.plot(div, corona.plotlyDataTest());\n return div;\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":80,"value":"plotDiv = DOM.element('div')","pinned":true,"hidden":false,"mode":"ojs"}],"files":"$W31","stdlib":"1","titling":"auto"}