2e:null 2f:["$","title",null,{"children":"Pennsylvania County Prison populations during COVID-19 | In Our Backyards | Observable"}] 34:T472,legend = { const svg = d3.create("svg").attr("height", "46"); const g = svg.append("g").attr("transform", "translate(20, 20)"); const x = d3 .scaleLinear() .domain(d3.extent(color.domain())) .rangeRound([0, 260]); g.selectAll("rect") .data(color.range().map(d => color.invertExtent(d))) .join("rect") .attr("height", 8) .attr("x", d => x(d[0])) .attr("width", d => x(d[1]) - x(d[0])) .attr("fill", d => color(d[0])); g.append("text") .attr("x", x.range()[0]) .attr("y", -6) .attr("fill", "currentColor") .attr("text-anchor", "start") .attr("font-weight", "bold") .text( changeOrCases == "change" ? 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"Staff Positive": 159, "Staff Recovered": 135, fips: 42027, lat: 40.859221000000005, lon: -77.77810600000001 }, { "All Cases": 328, "Current Cases": -9, "Inmate Death": 1, "Inmate Positive": 122, "Inmate Recovered": 130, SCI: "Rockview", "Staff Death": 0, "Staff Positive": 206, "Staff Recovered": 207, fips: 42027, lat: 40.8499, lon: -77.7763 }, { "All Cases": 354, "Current Cases": 38, "Inmate Death": 9, "Inmate Positive": 213, "Inmate Recovered": 191, SCI: "Chester", "Staff Death": 0, "Staff Positive": 141, "Staff Recovered": 125, fips: 42029, lat: 39.8512, lon: -75.3516 }, { "All Cases": 306, "Current Cases": 25, "Inmate Death": 1, "Inmate Positive": 212, "Inmate Recovered": 180, SCI: "Houtzdale", "Staff Death": 0, "Staff Positive": 94, "Staff Recovered": 101, fips: 42033, lat: 40.4844, lon: -78.2123 }, { "All Cases": 234, "Current Cases": 3, "Inmate Death": 0, "Inmate Positive": 193, "Inmate Recovered": 174, SCI: "Quehanna BC", "Staff Death": 0, "Staff Positive": 41, "Staff 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{ "All Cases": 975, "Current Cases": 845, "Inmate Death": 4, "Inmate Positive": 867, "Inmate Recovered": 40, SCI: "Forest", "Staff Death": 0, "Staff Positive": 108, "Staff Recovered": 90, fips: 42053, lat: 41.4819, lon: -79.1008 }, { "All Cases": 316, "Current Cases": 35, "Inmate Death": 1, "Inmate Positive": 145, "Inmate Recovered": 122, SCI: "Greene", "Staff Death": 0, "Staff Positive": 171, "Staff Recovered": 159, fips: 42059, lat: 39.9047, lon: -80.1387 }, { "All Cases": 389, "Current Cases": 51, "Inmate Death": 6, "Inmate Positive": 231, "Inmate Recovered": 204, SCI: "Huntingdon", "Staff Death": 0, "Staff Positive": 158, "Staff Recovered": 134, fips: 42061, lat: 40.4917, lon: -78.0277 }, { "All Cases": 699, "Current Cases": 88, "Inmate Death": 4, "Inmate Positive": 501, "Inmate Recovered": 440, SCI: "Smithfield", "Staff Death": 1, "Staff Positive": 198, "Staff Recovered": 171, fips: 42061, lat: 40.4981, lon: -78.0333 }, { "All Cases": 244, "Current Cases": 11, "Inmate Death": 1, 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'https://docs.google.com/document/d/e/2PACX-1vTiGuUC5WTQAYiDF4zdhOUEzGkOh042YNro73q_l3jbI-xwiNyWkGU7zZJc1obQchLGufGmPxJkqroF/pub', 42111: 'https://docs.google.com/document/d/e/2PACX-1vSkUPJXgVc9D9OkuRvDf3h60Rnz6dxDsVXrFPDw0S8h2-7dz14PFWqDwutj2VwKdF4Wh8ofqOiD9lWk/pub', // 42113: 'https://docs.google.com/document/d/e/2PACX-1vT4mtqE7TC_8F1WBWkgR-hHBZIlJBTok57R9w1MLdNNvap4WbhX-vEThaS5HJjseRMcaHn3YkCoAcoG/pub', 42115: 'https://docs.google.com/document/d/e/2PACX-1vT571B5qhjf9M5o3vbD2S2yk3SVUTuL7NrkCj27V8Bxo8IGMDlj1aL8jpcUNCPvyWLpPQdiiFBxbOgc/pub', 42117: 'https://docs.google.com/document/d/e/2PACX-1vSNe2PqCG4qikynoTC2vAgWx6UWBV9e6BL-1q3yu4-kn5wfLfLp-EA8g63-5m11jik7pqciQ9xRbd_H/pub', 42119: 'https://docs.google.com/document/d/e/2PACX-1vQYE0lyiQ_mAD5Yu2kTFxYoqVjAvC7exc69KuoSgvWMtMzckcNqZdJEotjNYwSlVzPQNpCZYmEZ9qK0/pub', 42121: 'https://docs.google.com/document/d/e/2PACX-1vTe9BU7R0YdMy8oDm6HyxDyPI1pqoFfB9sHoHdfUBSAdmc9K1GdIDjVG5WSdBtwOW-FVXEU0MDUzUay/pub', 42123: 'https://docs.google.com/document/d/e/2PACX-1vQv0q_7heAS3ba_WdWYRlgSGaBqaVGXyZj76zfR7TaClm0JVh6f38HQEqfFUgMf53aLwZRZeqaa-jB5/pub', 42125: 'https://docs.google.com/document/d/e/2PACX-1vRlmbcexteoWE8ngFc808j2cdv-RLGEhm1pLkcRKMh-ix35cxX_d1fuWmtRs89YvWjGUGzCBap3-SVX/pub', 42127: 'https://docs.google.com/document/d/e/2PACX-1vSzD6wndRqr6xzfGv5CN9RcFJyDRqg65opWVRhZ9yfKSaoh5W5Gt4UmCTWxZKoxeUu6E0J0PcODsTq9/pub', 42129: 'https://docs.google.com/document/d/e/2PACX-1vShxALVN0Z5X8ysHZvqYjfUjeGUUJUAHOw2LNptUnIVGUBm4UWiw3G9EkR5zEavRz_fT-cIK9A762-r/pub', 42131: 'https://docs.google.com/document/d/e/2PACX-1vSC2gfQ8KXDKGGafvO4g7hLUa11O0P_zSnM3w-y0DslBasOQRntCjsEH6PyyG1aUbL09Cwq_7z5hj4q/pub', 42133: 'https://docs.google.com/document/d/e/2PACX-1vQ2hC6j7EXG43Bf9vvmabYhHt6b3YCe3bJnREkEuN2MvGRvHuwyi6cvrI3taMrEfBcM5gqs1gQGisI4/pub' })38:[{"id":"506a1b446e9b0a0b79d5014b618e052723af0d2cc2a7bea47237767f56112fd3adc093f8e2603663493d205176947eeeb60262d5f89f24c2e765beae82a83494","href":"https://static.observableusercontent.com/files/506a1b446e9b0a0b79d5014b618e052723af0d2cc2a7bea47237767f56112fd3adc093f8e2603663493d205176947eeeb60262d5f89f24c2e765beae82a83494","name":"PA-42-pennsylvania-counties.json","type":"application/json","lastModified":1587151984462.453,"size":23909},{"id":"4c42d238b9b4607e800229d2a183c619b07fb530962630914c0bb1e180e0eede5b6a9636028edab22d99e13b4410d7990a4365d7fa805ed9e805fcff43c4b93b","href":"https://static.observableusercontent.com/files/4c42d238b9b4607e800229d2a183c619b07fb530962630914c0bb1e180e0eede5b6a9636028edab22d99e13b4410d7990a4365d7fa805ed9e805fcff43c4b93b","name":"pa-jail-population.csv","type":"text/csv","lastModified":1596651064642.003,"size":5717},{"id":"ce1ac49bf5d8c104869f85cd506d314026a73c7f32ec69a5fee474ecd7944665b88649423c7ddd651d6149efd6d19feffecfb6d323467935d6b06011556f270a","href":"https://static.observableusercontent.com/files/ce1ac49bf5d8c104869f85cd506d314026a73c7f32ec69a5fee474ecd7944665b88649423c7ddd651d6149efd6d19feffecfb6d323467935d6b06011556f270a","name":"pa-sci-covid.csv","type":"text/csv","lastModified":1603937412718.982,"size":489}] 32:{"id":"70bb08dcf83d2657","slug":"pennsylvania-county-prison-populations-during-covid-19","title":"Pennsylvania County Prison populations during COVID-19","thumbnail":"c7ba33d9044694d390b1ee55f49b278d98471b11441642df53780348aa08aaeb","access_level":"public","create_time":"$D2020-04-17T16:20:59.050Z","update_time":"$D2021-03-04T22:09:10.488Z","view_time":null,"first_public_time":"$D2020-05-11T18:08:48.109Z","has_unpublished_edits":null,"fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"67cfedd8a7d04aed","login":"in-our-backyards","name":"In Our Backyards","avatar_url":"https://avatars-next.observableusercontent.com/21af794ea378a15c02e7b995210645c94015757a50cf61103cea9bba84adcde4","tier":"pro"},"version":1026,"publish_version":1026,"role":null,"authored":false,"authors":[{"type":"individual","id":"442a4aea1910b0fd","login":"jamwalla","name":"James Wallace-Lee","avatar_url":"https://avatars-next.observableusercontent.com/e81cae6d9725dd360d20aa0522086361386a74fb1aa0d38e6dbe4acc3e589da2","tier":null}],"members":[{"type":"team","id":"67cfedd8a7d04aed","login":"in-our-backyards","name":"In Our Backyards","avatar_url":"https://avatars-next.observableusercontent.com/21af794ea378a15c02e7b995210645c94015757a50cf61103cea9bba84adcde4","tier":"pro","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":3,"collection":null,"type":"notebook","body":{"title":"Pennsylvania County Prison populations during COVID-19","cells":[{"id":0,"value":"md`# Pennsylvania County Prison populations during COVID-19`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1015,"value":"md`### ⚠️ The data in this notebook is no longer being updated. For the latest version, see [@in-our-backyards/spread-mitigation-of-covid-19-in-pa-prisons](https://observablehq.com/@in-our-backyards/spread-mitigation-of-covid-19-in-pa-prisons).`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":163,"value":"md`\nThis map was designed for the Pennsylvania Prison Society. For more, see their [COVID-19 Landing Page](https://www.prisonsociety.org/covid-19).\n\n**Click on any county** for regularly updated news and data on COVID-19 in county jails and state prisons. \n**Toggle between maps.** The first tracks the spread of COVID-19 in county jails and state prisons. The second shows how county jail populations have changed during the pandemic.\n\nFor more data, see the [Vera Jail Trends Dashboard](https://public.tableau.com/profile/in.our.backyards#!/vizhome/VeraJailTrendsDashboard-Pennsylvania/Dashboard) for Pennsylvania.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":13,"value":"viewof changeOrCases = radio({\n title: 'Show',\n options: [\n {\n label: `\n

\nCOVID-19 cases in state and county prisons
\n\nThe color gradient legend shows COVID-19 cases in state prisons as of\n${d3.timeFormat(\"%B %d\")(d3.timeParse(\"%Y-%m-%d\")(lastUpdated))}\n
\nA red dot\n\nindicates that cases of COVID-19 have been confirmed in the county’s prison

`,\n value: 'cases'\n },\n {\n label: 'Change in county prison population between February and June',\n value: 'change'\n }\n ],\n value: 'cases'\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":375,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":526,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":862,"value":"md`\n*Notes: Data represents 35 counties in Pennsylvania for which jail population data was available. Data for February is a snapshot from Feb 28 with the exception of Luzerne County (March 1) and Wayne County (Feb 29). Data from June is a snapshot from June 7-15. Jail population numbers for Dauphin County do not include individuals held on work release.*\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":226,"value":"md`## Appendix`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":232,"value":"md`### Data`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":986,"value":"lastUpdated = \"2021-01-19\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":836,"value":"data = d3\n .csvParse(await FileAttachment(\"pa-jail-population.csv\").text(), d3.autoType)\n .filter(({ february, april, june }) => february && april && june)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":538,"value":"countiesWithCovid = [\n 42003,\n 42007,\n 42009,\n 42011,\n 42013,\n 42015,\n 42017,\n 42021,\n 42027,\n 42029,\n 42033,\n 42035,\n 42039,\n 42043,\n 42045,\n 42049,\n 42051,\n 42061,\n 42069,\n 42071,\n 42075,\n 42077,\n 42079,\n 42087,\n 42089,\n 42091,\n 42095,\n 42097,\n 42101,\n 42103,\n 42127,\n 42129,\n 42133\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":921,"value":"statePrisonCovidCases = d3.rollup(\n sciData,\n v => d3.sum(v, d => d['All Cases']),\n d => d.fips\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":956,"value":"$36","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":85,"value":"$37","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":239,"value":"md`### Visualization`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":38,"value":"color = {\n const domain =\n changeOrCases == \"change\"\n ? [0, .1, .2, .3, .4, .5, .6, .7, .8]\n : [0, 50, 100, 200, 400, 600, 800, 1000];\n const range = (changeOrCases == \"change\" ? d3.schemeBlues : d3.schemeReds)[\n domain.length\n ];\n return d3\n .scaleThreshold()\n .domain(domain)\n .range(range);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":687,"value":"colorCounty = f => {\n if (changeOrCases == \"change\") {\n const county = data.find(d => d.fips == f);\n if (county) return color((county.february - county.june) / county.february);\n return 'WhiteSmoke';\n }\n return statePrisonCovidCases.has(f)\n ? color(statePrisonCovidCases.get(f))\n : 'WhiteSmoke';\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":138,"value":"tooltip = d3\n .select(\"body\")\n .append(\"div\")\n .attr(\"class\", \"tooltip\")\n .style(\"position\", \"absolute\")\n .style(\"text-align\", \"center\")\n .style(\"width\", \"auto\")\n .style(\"height\", \"auto\")\n .style(\"padding\", \"2px\")\n .style(\"font\", \"12px sans-serif\")\n .style(\"background\", \"#fff\")\n .style(\"border\", \"0px\")\n .style(\"opacity\", 0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":58,"value":"tooltipChangeText = f => {\n const name = links[f.GEOID]\n ? `${f.NAME} County`\n : `${f.NAME} County`;\n const county = data.find(d => d.fips == f.GEOID);\n const percentChange = county\n ? `-${d3.format(\".1%\")((county.february - county.june) / county.february)}`\n : \"No data available\";\n return `${name}
${percentChange}`;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":720,"value":"tooltipCasesText = county => {\n const fips = +county[\"GEOID\"];\n let text = links[fips]\n ? '' +\n county.NAME +\n \" County\"\n : county.NAME + \" County\";\n\n let cases = statePrisonCovidCases.get(fips);\n if (cases)\n text += `
${cases} reported ${\n cases == 1 ? \"case\" : \"cases\"\n } in state prison`;\n\n if (countiesWithCovid.includes(fips))\n text += `
Cases reported in county prison`;\n\n return text;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":242,"value":"md`### Imports`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":248,"value":"md`\nPennsylvania county TopoJSON file from\n[deldersveld/topojson](https://github.com/deldersveld/topojson/blob/master/countries/us-states/PA-42-pennsylvania-counties.json).`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":151,"value":"pa = FileAttachment(\"PA-42-pennsylvania-counties.json\")\n .json()\n .then(result =>\n topojson.feature(result, result.objects.cb_2015_pennsylvania_county_20m)\n )","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":10,"value":"d3 = require(\"d3@5\", \"d3-array\", \"d3-geo-projection\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":4,"value":"topojson = require(\"topojson-client@3\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":680,"value":"import { radio } from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W38","stdlib":"1","titling":"auto"}} 33:"$32:body"