31:T461,html` ${await showReference( "https://www.washingtonpost.com/graphics/2020/health/coronavirus-herd-immunity-simulation-vaccine/", "Washington Post: A vaccine, or a spike in deaths: How America can build herd immunity to the coronavirus", "https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/wapo%20scenario.png", "Love how this piece takes it step-by-step to introduce the core concept of herd immunity, instead of jumping right into the simulation. And, after setting up the 0% / 40% / 80% concept via simulation, connects the simulated data to the real data in US cities using small multiples." )}

I do wish they'd mentioned the potential cost of long-term debilitation as well as the death count in the 'cost' section later, as I feel like seeing two outcomes of recover/dead is missing a huge portion of the impact. But, maybe a measure of costs is worth saving for another article, and then also include the cost of 'loss of caregiver', (ie - a child who loses a parent or grandparent who is a primary caregiver also suffers a great loss/cost, even if they themselves don't die).

`32:T4c6,html` ${await showReference( "https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm", "CDC Excess Deaths", "https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/cdc-excessdeaths-newyorkcity.png", "From CDC, excess deaths dashboard. Can drill down by state (and New York City). Also show those deaths attributed to covid or not. For example, can see that in NYC in Mar/Apr there were many more deaths than expected including many that were not attributed to covid indicating some likely undercounting. The bad flu season from winter 2017/2018 is also in the data range, which gives a scale of comparison (aka - this is not the flu). Note that the threshold line is the 95th confidence interval. In the Arizona and Texas charts we can see that even excluding the deaths attributed to covid, there are already more deaths than expected in June/early July. There can be a 1-8 week reporting delay for death data." )}

`33:[] 2f:{"title":"Covid-19 Viz Roundup","cells":[{"id":0,"value":"md`# Covid-19 Viz Roundup`","pinned":false,"hidden":false,"mode":"ojs"},{"id":82,"value":"md`There are a *lot* of data visualizations related to covid-19/coronavirus. The goal of this article is to be a repository for some of the data visualizations that I have found useful for understanding the pandemic, both to keep track of them myself and to share these with others. \n\nThis is not comprehensive. And it will be US-centric, because I live in the US. But, hopefully it will still be of use to me and others when looking for resources and well-made visualizations.\n\nThis is a work-in-progress.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":71,"value":"md`## The roundup of roundups\nFirst up, let's start by linking to some of the other lists of viz.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":75,"value":"md`**Tweet thread from The Pudding** \n\n[114 visualizations, with more to come](https://twitter.com/puddingviz/status/1266498325894909958)\n\n**Flowing Data**\n\n[Flowing Data Coronavirus Part I](https://flowingdata.com/2020/03/12/coronavirus-process-080/)\n\n[Flowing Data Coronavirus Part II](https://flowingdata.com/2020/05/14/process-089-coronavirus-part-ii/)\n\n[Flowing Data blog](https://flowingdata.com/) which is showing lots of covid-related visualizations.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":86,"value":"md`## Trackers\n\nVisualizations which are regularly being updated with up-to-date data`","pinned":false,"hidden":false,"mode":"ojs"},{"id":103,"value":"html`\n${await showReference(\n \"https://www.ft.com/content/a26fbf7e-48f8-11ea-aeb3-955839e06441\",\n \"Financial Times: Coronavirus Latest Figures\",\n \"https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/FT%20latest%20figures.png\",\n \"A set of ~8 charts showing the global overview of the current state of the pandemic. Includes data on excess deaths and government responses as well as confirmed deaths.\"\n)}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":162,"value":"html`\n${await showReference(\n \"https://ig.ft.com/coronavirus-chart/?areas=usa&areas=gbr&areasRegional=usny&areasRegional=usca&areasRegional=usfl&areasRegional=ustx&cumulative=0&logScale=1&perMillion=0&values=deaths\",\n \"Financial Times: Interactive Chart\",\n \"https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/FT%20interactive.png\",\n \"One of the most comparable metrics across countries is number of new deaths per day (7-day rolling average) since the pandemic started affecting that country, shown on a log scale (since growth rates well-captured on log scales).\"\n)}\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":188,"value":"html`\n${await showReference(\n \"https://projects.propublica.org/reopening-america/\",\n \"ProPublica - Reopening America\",\n \"https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/PropublicaReopening.gif\",\n \"For United States, uses 5 key metrics to show the severity of the pandemic currently and a 'weathervane' type visualization to give a gut sense of if things are getting better/worse across the country over time. The 5 key metrics are very strong, including things like 'positive tests per 100k people' and 'hospital visits for flu-like illness'. Also shows clear 'good'/'neutral'/'bad' markings and calls out features that might be most significant.\"\n)}\n

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":194,"value":"html`\n${await showReference(\n \"https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html\",\n \"New York Times - Coronavirus in the U.S.: Latest Map and Case Count\",\n \"https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/NYT-map.png\",\n \"New York Times has become the best source for case count data in the United States, data which supports this article.\"\n)}\n`\n\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":198,"value":"html`\n${await showReference(\n \"https://www.covidexitstrategy.org/\",\n \"Covid Exit Strategy\",\n \"https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/covidexitstrategy%20-%20testing%20map.png\",\n \"This site is run by a group of public health and crisis experts. It's focussed on data at the US State level. I like the question/answer format, and the focus on sourcing data that specifically relates to the key questions.\"\n)}\n

\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":228,"value":"html`\n${await showReference(\n \"https://news.google.com/covid19/map?hl=en-US&gl=US&ceid=US%3Aen&mid=%2Fm%2F0d060g\",\n \"Google News / Search\",\n \"https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/google-canada.jpg\",\n \"Google Search/News is reporting on new cases, tests, and more. Search for anywhere in the world.\"\n)}\n\n`\n\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":247,"value":"md`## Making sense of the data`","pinned":false,"hidden":false,"mode":"ojs"},{"id":249,"value":"html`\n${await showReference(\n \"https://www.propublica.org/article/how-to-understand-covid-19-numbers\",\n \"Propublica: How to Understand Covid 19 Numbers\",\n \"https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/propublica-understand.png\",\n \"Propublica provides a framing for how to translate from testing rates and case counts to questions like 'how is my state doing'?\"\n)}\n`\n\n","pinned":false,"hidden":false,"mode":"ojs"},{"id":267,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":233,"value":"md`## Data Access Tools`","pinned":false,"hidden":false,"mode":"ojs"},{"id":237,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":203,"value":"md`## Data Visualizations`","pinned":false,"hidden":false,"mode":"ojs"},{"id":205,"value":"html`\n${await showReference(\n \"https://www.nytimes.com/interactive/2020/07/17/upshot/coronavirus-face-mask-map.html\",\n \"New York Times: A Detailed Map of Who is Wearing Masks in the U.S.\",\n \"https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/NYT-masks.png\",\n \"Based on survey data in July to understand mask usage by county in the United States. You can zoom in by double clicking on the map.\"\n)}\n

Note: NYT has generously published the data behind this map here.

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":260,"value":"html`\n${await showReference(\n \"https://www.nejm.org/doi/full/10.1056/NEJMc2025203\",\n \"New England Journal of Medicine\",\n \"https://www.nejm.org/na101/home/literatum/publisher/mms/journals/content/nejm/0/nejm.ahead-of-print/nejmc2025203/20200807/images/img_xlarge/nejmc2025203_f1.jpeg\",\n \"This figure shows the types of and timelines of interventions in New Zealand to eliminate the spread and introduction of covid-19.\"\n)}\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":216,"value":"html`\n${await showReference(\n \"https://wwwnc.cdc.gov/eid/article/26/7/20-0764_article#tnF1\",\n \"COVID-19 Outbreak Associated with Air Conditioning in Restaurant, Guangzhou, China, 2020 - publicshed in Emerging Infections Diseases journal\",\n \"https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/contacttracing-restaurant.png\",\n \"On January 24th a pre-symptomatic individual (A1) ate at a restaurant with family. Two other families (B and C) sat nearby. When a total of 9 other individuals fell ill, they studied the transmission dynamics. In summary: 'We conclude that in this outbreak, droplet transmission was prompted by air-conditioned ventilation. The key factor for infection was the direction of the airflow.'\"\n)}\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":220,"value":"html`\n${await showReference(\n \"https://wwwnc.cdc.gov/eid/article/26/8/20-1274_article\",\n \"Coronavirus Disease Outbreak in Call Center, South Korea\",\n \"https://raw.githubusercontent.com/zanarmstrong/covid-viz-images/master/callcenter-contacttracing.jpg\",\n 'Based on analysis of transmission in a call center in South Korea, researchers concluded that: \"Despite considerable interaction between workers on different floors of building X in the elevators and lobby, spread of COVID-19 was limited almost exclusively to the 11th floor, which indicates that the duration of interaction (or contact) was likely the main facilitator for further spreading of SARS-CoV-2.\"'\n)}\n

\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":51,"value":"md`## Helper Functions`","pinned":false,"hidden":false,"mode":"ojs"},{"id":140,"value":"async function showReference(link, caption, imgsrc, description) {\n return `\n

\n ${caption}\n

${description}

\n \n

`\n}","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W33","stdlib":"1","titling":"auto"}