Andy's Walgreens COVID-19 Tracker TrackerBelgium Vaccination Tracker - Progress of the vaccination campaignVaccination against covid-19 in France500,000 COVID-19 DeathsCovid-19 vaccinations: BubblesTime Spiral with a COVID DemoCOVID MasksGrid Cartogram component with live COVID demos (plus a MapEditor)The US COVID SyringeCOVID-19 DKCOVID-19 World Community Mobility Report by GoogleCOVID 19Chicago COVID ZIP SparklinesThe COVID Syringeభారతదేశంలో కోవిడ్-19SVG DataGrid with many features and a live COVID Dashboard demoThe spread of Covid-19 in New MexicoHeatmap of COVID-19 Confirmed Cases by Age over Time in JapanThe CoViD-19 ReportCovid19 WorldwideMassachusetts Coronavirus Cases by TownChoropleth map about Covid19 in FranceWell ordered coronavirus heatmaps for US and the WorldCOVID-19 Racial/Ethnic Mortality AnalysisProPublica's COVID Arrow MapClustering students to slow virus spread inside schoolsCOVID-19 in the USAWho Is Wearing Masks in the U.S.Covid-19 Viz RoundupCoronavirus StatsThe Covid-19 Crisis' Impact on the Number of US Flight PassengersCOVID-19 Daily New CasesCOVID-19 CasesCOVID–19 Bubble Chart with D3 RenderCoronavirus Deaths by Race / EthnicityHow many SARS-CoV-2 tests are we running in the U.S.?COVID-19 Onset vs. ConfirmationPeaks in confirmed daily deaths due to COVID-19 so farCOVID-19 in the U.S.Recreating John Burn-Murdoch’s Coronavirus trackerTracking COVID-19 Cases in VietnamCOVID-19 in NYC by Zip Code & IncomeVisualizing the Network Meta-Analysis of Covid-19 StudiesCOVID-19's deaths in EuropeCovid-19 (corona virus) deaths per 1,000,000 peopleCOVID-19 Bubble map or spike map? (Twitter debate)A Timeline of Shelter-in-PlaceWhere’s that $2 trillion going?Estimating SARS-COV-2 infectionsCODAVIM - CountySARS-CoV-2 Epi CurveCOVID-19 Curves (U.S.)COVID-19 Cases by CountyCOVID-19 world growth rateA graphical experiment of exponential spreadCOVID-19 by US countyCOVID-19 Confirmed vs. New cases"Live" Logistic Coronavirus Death CounterInfografiche: COVID-19 in ItaliaCoronavirus (COVID-19) GlobeBar Chart Race, COVID-19 outbreak Worldwide to 24th March 2020US Coronavirus testing by statesUnited States Coronavirus Daily Cases Map (COVID-19)COVID-19 Numbers by State, Side by SideRecreating NYT U.S. Cases MapCOVID-19 in Washington stateCOVID-19 outbreak in maps and chartsCOVID-19 Spreading trendsRestaurants during COVID-19 social distancingCOVID-19 Countries Trajectories in 3DStates that aren't reporting aspects of their COVID-19 testing processNextstrain Prototyping - Issue 817Reviewing COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxivCoronavirus worldwide evolutionCovid-19 New Cases PunchcardCovid-19 cases per district in Germany.COVID-19 Cases, Deaths, and Recoveries (Select Country)Quarantine NowEmissions in WuhanCOVID-19(nCOV-2019) Outbreak in S.KoreaMovement of population between provinces in 2019-nCoVComparing COVID-19 GrowthCovid-19 derived chartCoronavirus Trends (COVID-19)Netherlands Coronavirus Daily Cases Map (COVID-19)Map and timeline of Corona outbreakSARS-CoV-2 Phylogenetic TreeCoronavirus data (covid-19)Visualizing the Logic of Exponential Viral SpreadItaly Coronavirus Daily Cases Map (COVID-19)COVID-19 Fatality Rate
xkcd COVID-19 spread sketch
countermeasuresEffect = .5
circleSpacing = circleR / 2
variance = .25 * circleR
strokeWidth = circleR / 2
stepInfection = function*(points) {
const originPoint = {x: 0, y: 0}
function angleBetween(a1, a2) {
const diff = Math.abs(a2 - a1) % (2 * Math.PI)
return diff < Math.PI ? diff : diff - Math.PI
}
function distance(x1, y1, x2, y2) {
return Math.sqrt(Math.pow(x2 - x1, 2) + Math.pow(y2 - y1, 2))
}
const maxDistance = 1.5 * (circleR + 2 * circleSpacing + 2 * variance)
const randomInfectionTime = d3.randomNormal(infectionTMu, infectionTSigma)
const randomInfectionCount = d3.randomNormal(infectionMMu, infectionMSigma)
const delaunay = d3.Delaunay.from(points, p => p.x, p => p.y)
const activeInfected = new Set(points.filter(p => p.infectionTime > 0))
function infect(p, by) {
let prevented = false
if (p.isCountermeasures && Math.random() < countermeasuresEffect) {
p.countermeasuresHits++
changedPoints.push(p)
prevented = true
}
if (by !== originPoint) {
const edgeKey = `${by.idx}->${p.idx}`
changedEdges.set(edgeKey, {
key: edgeKey,
x1: by.x,
y1: by.y,
x2: p.x,
y2: p.y,
halted: p.infected || prevented,
})
}
if (p.infected || prevented) {
return
}
p.infected = true
p.infectedBy = by || originPoint
p.infectionTime = Math.round(randomInfectionTime())
p.infectionCount = Math.round(randomInfectionCount())
by.infectionCount--
activeInfected.add(p)
changedPoints.push(p)
}
let tick = 0
let changedPoints = []
let changedEdges = new Map()
let stats = []
function stepData(pointsOverride) {
stats.push({
tick: tick++,
infectedCount: activeInfected.size,
})
return {
changedPoints: pointsOverride || changedPoints,
changedEdges: [...changedEdges.values()],
stats,
}
}
yield stepData(points)
// Infect initial ring.
points.filter(p => p.ring === ringStart).forEach(p => infect(p, originPoint))
yield stepData(changedPoints)
while (activeInfected.size) {
changedPoints = []
changedEdges = new Map()
for (const p of [...activeInfected]) {
changedPoints.push(p)
p.infectionTime--
if (p.infectionTime <= 0) {
activeInfected.delete(p)
continue
}
if (p.ring === ringCount + ringStart - 1) {
continue
}
const neighbors = _.shuffle([...delaunay.neighbors(p.idx)])
for (const neighborIdx of neighbors) {
if (p.infectionCount <= 0) {
break
}
const neighbor = points[neighborIdx]
if (neighbor === p.infectedBy) {
// No tag-backs.
continue
}
if (distance(p.x, p.y, neighbor.x, neighbor.y) > maxDistance) {
continue
}
const byAngle = Math.atan2(p.y - p.infectedBy.y, p.x - p.infectedBy.x)
const toAngle = Math.atan2(neighbor.y - p.y, neighbor.x - p.x)
const similarity = 1 - (angleBetween(byAngle, toAngle) / Math.PI)
if (similarity < angleThreshold[1] && Math.random() > (similarity - angleThreshold[0]) * (angleThreshold[1] - angleThreshold[0])) {
continue
}
if (Math.random() < infectionP) {
infect(neighbor, p)
}
}
}
yield stepData()
}
}
startPoints = function({useDistancing, useCountermeasures}) {
let data = []
const ringEnd = ringCount + ringStart
const ringEndInner = useDistancing ? ringEnd : ringEnd - outerRings
for (let ringIdx = ringStart; ringIdx < ringEndInner; ringIdx++) {
const circleSize = 2 * (circleR + circleSpacing)
const ringRadius = ringIdx * circleSize
const arcAngle = Math.PI / 2
const arcLength = arcAngle * ringRadius - 2 * variance
const count = Math.floor(arcLength / circleSize)
const circleSpace = count * circleSize
const centeringSpace = (arcLength - circleSpace) / arcLength
// We add circleSize / 2 because circles are positioned from their centers.
const centeringOffset = centeringSpace / 2 + (circleSize / 2) / arcLength
for (let circleIdx = 0; circleIdx < count; circleIdx++) {
const angle = arcAngle * ((circleIdx / count) * (1 - centeringSpace) + centeringOffset)
const distanceFromCenter = ((ringIdx - ringStart) / ringEndInner)
const point = {
x: ringRadius * Math.cos(angle) + (2 * Math.random() - 1) * variance,
y: ringRadius * Math.sin(angle) + (2 * Math.random() - 1) * variance,
ring: ringIdx,
isDistancing: useDistancing && ringIdx < ringEnd - outerRings && Math.random() < distancingUse,
isCountermeasures: useCountermeasures && Math.random() < countermeasuresUse * distanceFromCenter,
countermeasuresHits: 0,
}
data.push(point)
}
}
if (useDistancing) {
const candidates = _.shuffle(data.filter(p => p.ring >= ringEnd - outerRings))
const distanced = data.filter(p => p.isDistancing && p.ring < ringEnd - outerRings)
for (const p of distanced) {
p.removed = true
candidates.pop()
}
for (const p of candidates) {
p.removed = true
}
data = data.filter(p => !p.removed)
}
for (const [i, p] of data.entries()) {
p.idx = i
}
return data
}
ringCount = Math.floor(size / (2 * (circleR + circleSpacing))) - ringStart
d3 = require('d3@5', 'd3-delaunay@5')
import {color, slider} from '@jashkenas/inputs'
import {rangeSlider} from '@mootari/range-slider'
_ = require('lodash@4')
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