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index.html
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<!DOCTYPE html>
<html prefix="og: http://ogp.me/ns#" lang="ja">
<head>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-162141832-1"></script>
<script>
window.dataLayer = window.dataLayer || []
function gtag(){dataLayer.push(arguments)}
gtag('js', new Date())
gtag('config', 'UA-162141832-1')
</script>
<meta charset="utf-8">
<title>COVID-19 Japan - 新型コロナウイルス対策ダッシュボード #StopCOVID19JP</title>
<meta name="keywords" content="新型コロナウイルス,新型コロナ対策,ダッシュボーボード,dashboard,COVID-19 Japan,COVID-19,病床数,対策病床数,オープンデータ,opendata,open data,一日一創,福野泰介,Taisuke Fukuno,jig.jp">
<meta property="og:title" content="COVID-19 Japan 新型コロナウイルス対策ダッシュボード #StopCOVID19JP">
<meta property="og:description" content="日本の新型コロナ対策病床数と現在患者数を都道府県別にすばやく表示、厚生労働省と各自治体から提供されるオープンデータ使用 #StopCOVID19JP">
<meta name="theme-color" content="#AD232F">
<meta name="msapplication-TileColor" content="#AD232F">
<link rel="icon" type="image/png" href="covid19japan-icon.png">
<link rel="apple-touch-icon" href="covid19japan-leargeicon.png">
<meta name="msapplication-square310x310logo" content="covid19japan-leargeicon.png">
<meta name="twitter:card" content="summary_large_image">
<meta property="og:image" content="https://www.stopcovid19.jp/ogp/covid19japan_ogp_20230511085506.png">
<meta name="twitter:image" content="https://www.stopcovid19.jp/ogp/covid19japan_ogp_20230511085506.png">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="format-detection" content="telephone=no">
<link href="https://fonts.googleapis.com/css2?family=Overpass:wght@700&display=swap" rel="stylesheet">
<style>
body {
--main-color: #AD232F;
color: black;
font-family: "Helvetica Neue", Arial, "Hiragino Kaku Gothic ProN", "Hiragino Sans", Meiryo, sans-serif;
word-wrap: break-word;
margin: 0;
font-size: 1vmax;
}
a {
color: #555 !important;
}
header {
background-color: var(--main-color);
color: white;
}
h1 {
text-align: center;
margin: 0;
padding: .3em;
font-size: 8vmin;
x-font-family: 'Overpass', sans-serif;
}
.trendarrow {
position: relative;
top: .15em;
margin-left: .2em;
width: 1em;
}
.subtitle {
text-align: center;
margin: 0 0 .5em 0;
padding: .3em;
font-size: 3vmin;
}
#cmap {
display: inline-block;
vertical-align: top;
}
#summary {
display: inline-block;
vertical-align: middle;
max-width: 40vw;
margin-top: 0.3vw;
margin-right: 2vw;
margin-left: 2vw;
}
.summarygrid {
display: inline-grid;
grid-template-columns: repeat(2, 1fr);
grid-template-rows: repeat(7);
grid-gap: 0;
grid-template-areas:
"a c"
"b d"
"e g"
"f h"
"i j"
"k k";
margin-bottom: 0.5vh;
font-size: 1.2vw;
}
.sga { grid-area: a; }
.sgb { grid-area: b; }
.sgc { grid-area: c; }
.sgd { grid-area: d; }
.sge { grid-area: e; }
.sgf { grid-area: f; }
.sgg { grid-area: g; }
.sgh { grid-area: h; }
.sgi { grid-area: i; }
.sgj { grid-area: j; }
.sgk { grid-area: k; }
.summarygrid > div {
border: .3vw solid var(--main-color);
margin: 0 -.3vw -.3vw 0;
padding: .1vh .5vw;
}
.sga, .sgc, .sge, .sgg {
}
.sgb, .sgd, .sgf, .sgh {
background-color: var(--main-color);
color: white;
font-size: 260%;
}
.sgi, .sgj {
}
.sgk {
}
.fontsmaller {
font-size: 60%;
}
#summarytable {
display: inline-block;
margin-left: auto;
margin-right: auto;
border-collapse: collapse;
margin-bottom: 0.1vh;
}
#summarytable td, #summarytable th {
border: .3vw solid var(--main-color);
padding: .2vh .5vw;
width: 20vw;
font-size: 1.3vw;
text-align: center;
}
#summarytable td {
background-color: var(--main-color);
color: white;
font-size: 4.0vw;
}
#summarydesc {
margin-bottom: 1em;
}
.summaryvent {
font-size: 70%;
}
#ventsrc {
font-size: 60%;
font-weight: normal;
}
#lastupdatebox {
}
.bedformula {
font-size: 110%;
font-weight: bold;
margin-bottom: .3em;
}
#beddescription {
font-size: 100%;
margin: .2em 0 .5em 0;
}
#bedtypes {
margin: .1em 0 .5em 0;
}
.content {
position: relative;
text-align: center;
}
.description {
margin: 1em;
}
.relateddata {
margin: 1em;
text-align: center;
}
.prefname {
font-size: 120%;
}
.npatients {
font-weight: bold;
}
.nbed {
font-size: 80%;
}
.pcr {
font-size: 64%;
}
.jpalllabel {
font-size: 125%;
}
.pcrsum {
font-size: 45%;
}
#datasrc {
x-font-size: 80%;
}
/* japan map */
#japan {
display: inline-block;
width: 100%;
position: relative;
}
#jp0 {
border-collapse: separate;
border-spacing: .4vw;
margin: auto;
}
#jp0 td {
font-size: 1.0vw;
width: 6vw;
height: 4em;
vertical-align: middle;
text-align: center;
x-border-radius: .5vw;
x-padding: vmin 0vw;
border: .25vmin solid #333;
cursor: pointer;
}
#detail {
display: none;
position: fixed;
z-index: 2;
background-color: white;
border: 4px solid black;
left: 0vw;
top: 0vh;
x-top: 23vh;
width: 100vw;
max-width: 95vh;
max-height: 100vh;
overflow-y: auto;
padding: 1vh 1vw;
box-sizing: border-box;
text-align: center;
}
#detailc {
display: inline-block;
}
#detailtitle {
font-size: 3.5vmin;
text-align: center;
margin: .5vmin;
}
#detaildesc {
font-size: 1.8vmin;
text-align: center;
margin: .5vmin;
}
#detaildesc .sum {
font-size: 2.8vmin;
}
#detailvent {
font-size: 1.8vmin;
text-align: center;
margin: 0.5vmin;
}
#chart {
width: 100%;
vertical-align: middle;
}
#detailbtns {
text-align: center;
margin: 2vmin;
}
#detailbtns > button {
margin: 1vmin;
font-size: 2.5vmin;
padding: 1vmin;
}
.areamap_title {
font-size: 140%;
margin-top: 1em;
margin-bottom: .3em;
}
.areamap {
border: 1px solid #333;
margin: .5em;
}
.areamap > span {
display: flex;
align-items: center;
justify-content: center;
padding: .2vmax .2vmax;
x-border: .1vmax solid #333;
x-margin: .2vmax;
}
@keyframes fadein {
0% { opacity: 0 }
100% { opacity: 1 }
}
@keyframes fadeout {
0% { opacity: 1 }
100% { opacity: 0 }
}
/* aspect */
@media (max-aspect-ratio: 3/4) {
body {
font-size: 1.3vmax;
}
#jp0 td {
font-size: 2.2vw;
width: 13.0vw;
}
#summary {
max-width: 100vw;
}
.summarygrid {
display: grid;
grid-template-columns: repeat(4, 1fr);
grid-template-rows: repeat(5);
grid-gap: 0px;
grid-template-areas:
"a c e g"
"b d f h"
"i i j j"
"k k k k";
font-size: 1.9vw;
}
.sgb, .sgd, .sgf, .sgh {
font-size: 250%;
}
}
/* min font-size */
/*
@media (max-width: 640px) {
body {
font-size: 2vmax; calc(16px + ((1vw - 6.4px)*3.571));
}
}
*/
.pr {
margin-top: 1em;
text-align: center;
}
#pr {
text-align: center;
margin: 1em;
font-size: 160%;
}
#pr2 {
display: inline-block;
margin: 1vw;
border: 1px solid;
padding: .3vw 2vw;
}
#pr3, #pr5 {
display: inline-block;
text-align: center;
margin: 1vw;
x-width: 50vw;
}
#pr3 img, #pr3 picture {
width: 30vw;
}
#pr4 {
display: inline-block;
margin: 1vw;
}
#pr4 iframe {
display: inline-block;
width: 30vw;
height: 6.8vw;
border: #ddd solid 1px;
box-sizing: border-box;
padding-top: .5vw;
}
#pr5 img {
width: 30vw;
}
@media (max-width: 480px) {
#pr3 img, #pr5 img {
width: 90vw;
}
#pr4 iframe {
width: 90vw;
height: 19.2vw;
}
}
.lang {
text-align: center;
margin: .5em;
}
/* share */
#share {
text-align: center;
padding-bottom: 3em;
}
#share > * {
vertical-align: bottom;
}
#fb-share-button {
display: inline-block;
margin: .5em;
}
/* credit */
.credit {
margin: 2vw 0 1vw 0;
text-align: center;
}
/* media */
#media {
text-align: center;
margin-bottom: 2em;
}
#qrcode {
width: 140px;
}
/* debug */
#debug {
text-align: left;
}
</style>
<script src="fukuno.js"></script>
<script defer src='Chart.bundle.min.js' xsrc="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.3/Chart.bundle.min.js"></script>
<!--<script defer src='html2canvas.min.js'></script>-->
<script src='translation.js'></script>
<script>"use strict";
const getLang = function() {
const hash = document.location.hash
if (hash.indexOf('en') >= 0) {
return "en"
}
if (hash.indexOf('ja') >= 0) {
return "ja"
}
const lang = (window.navigator.languages && window.navigator.languages[0]) || window.navigator.language || window.navigator.userLanguage || window.navigator.browserLanguage
return lang
}
const tx = function(s) {
let lang = getLang()
if (lang.match('ja'))
return s
lang = 'en'
// return s
for (const ja in TX) {
for (;;) {
const n = s.indexOf(ja)
if (n < 0)
break
s = s.substring(0, n) + TX[ja][lang] + s.substring(n + ja.length)
}
}
const txarray = function(s, ar, aren) {
for (let i = 0; i < ar.length; i++) {
const s2 = ar[i]
for (;;) {
const n = s.indexOf(s2)
if (n < 0)
break
s = s.substring(0, n) + aren[i] + s.substring(n + s2.length)
}
}
return s
}
s = txarray(s, PREF, PREF_EN)
s = txarray(s, PREF_S, PREF_EN)
return s
}
const translate = function() {
document.title = tx(document.title)
//document.body.innerHTML = tx(document.body.innerHTML)
contents.innerHTML = tx(contents.innerHTML)
credit.innerHTML = tx(credit.innerHTML)
if (getLang() == 'en') {
document.getElementsByTagName('html')[0].setAttribute('lang', 'en')
/*
for (const css of document.styleSheets.cssRules) {
console.log(css)
}
*/
}
}
const lazyLoading = function() {
const iframes = document.getElementsByTagName('iframe')
for (const f of iframes) {
if (f.getAttribute('data-src')) {
f.setAttribute('src', f.getAttribute('data-src'))
}
}
}
const link = function(url, name) {
return `<a href="${cutQuery(url)}">${name}</a>`
}
const fetchJSON = async function(url) {
return await (await fetch(url)).json()
}
const fetchCSV = async function(url) {
const csv = await (await fetch(url)).text()
const data = decodeCSV(csv)
return csv2json(data)
}
const makeURL = function(path) {
//const base = 'http://localhost:8003/api/'
const base = 'data/'
return base + path + "?" + new Date().getTime() // ignore cache
}
const cutQuery = function(url) {
const n = url.lastIndexOf('?')
if (n >= 0)
return url.substring(0, n)
return url
}
const calcRatio = function(cnt, base) {
if (base == 0 || isNaN(cnt) || isNaN(base))
return "-"
const n = cnt / base * 100
return fixfloat(n, n >= 100 ? 0 : 1)
}
const parseTime = function(s) {
return new Date(s).getTime()
}
const main = async function() {
translate()
get("japan").innerHTML += makeJapanHTML()
const url = makeURL('covid19japan.json')
const json_mhlw = await fetchJSON(url)
for (const p of json_mhlw.area) {
p.lastUpdate = json_mhlw.lastUpdate
p.url_opendata = json_mhlw.srcurl_pdf
}
//console.log(json_mhlw)
const url_trend = makeURL('covid19japan-trend.json')
const json_trend = await fetchJSON(url_trend)
for (const p of json_mhlw.area) {
p.trend = json_trend.find(i => i.name === p.name)
}
//console.log(json_mhlw)
let json = json_mhlw
const url_bed = makeURL('bedforinfection_summary.json')
const json_bed = await fetchJSON(url_bed)
//console.log("json_bed", json_bed)
/*
const url_bedc = makeURL('bedforinfection_current.json')
const json_bedc = await fetchJSON(url_bedc)
console.log(json_bedc)
for (let i = 0; i < json_bedc.length; i++) {
const cbed = json_bedc[i]
for (let j = 0; j < json_bed.area.length; j++) {
const a = json_bed.area[j]
if (a.name_ja == cbed['自治体名']) {
const n = parseInt(cbed['新型コロナウイルス対策感染症病床数'])
a.sumc = n
a.sumc_src = cbed
}
json.area[j].bed = a
}
}
*/
const url_bedc = makeURL("covid19japan_beds/latest.json");
// list.push(['都道府県番号', '都道府県名', 'PCR検査陽性者数', '入院者数', '入院患者受入確保病床', '入院患者受入確保想定病床数', 'うち重症者数', '重症患者受入確保病床数', '重症患者受入確保想定病床数', '宿泊療養者数', '宿泊施設受入可能室数', '自宅療養者数', '社会福祉施設等療養者数', '確認中の人数', '更新日', '出典']);
const json_bedc = await fetchJSON(url_bedc)
console.log("json_bedc", json_bedc)
for (let i = 0; i < json_bedc.length; i++) {
const cbed = json_bedc[i]
for (let j = 0; j < json_bed.area.length; j++) {
const a = json_bed.area[j]
if (a.name_ja == cbed['都道府県名']) {
const n1 = parseInt(cbed['入院患者受入確保病床']);
const n2 = parseInt(cbed['宿泊施設受入可能室数']);
a.sumc = n1 + n2;
a.sumc_src = {
出典: cbed['出典'],
発表日: cbed['更新日'],
備考: '医療機関' + n1 + '床+宿泊施設' + n2 + '室'
};
}
json.area[j].bed = a;
}
}
const chkbed = [ bedt, bed1, bed2, bedk, beds ]
const namebed = [ 'sumt', 'sum1', 'sum2', 'sumk', 'sums' ]
const getBedCount = function(json) {
if (usebednow.checked && json.sumc) {
return json.sumc
}
let cnt = 0
for (let i = 0; i < chkbed.length; i++) {
const chk = chkbed[i]
if (chk.checked) {
cnt += json[namebed[i]]
}
}
return cnt
}
const url_vent = makeURL('ventilator-20200306.csv')
const json_vent = await fetchCSV(url_vent)
//console.log(json_vent)
for (let i = 0; i < json.area.length; i++) {
json.area[i].vent = json_vent[i]
}
json.vent = json_vent[47]
const showSummary = async function(json, json_bed) {
const sum = { ncurrentpatients: 0, nexits: 0, ndeaths: 0, npatients: 0 }
for (let i = 0; i < json.area.length; i++) {
for (const n in sum) {
const s = json.area[i][n]
sum[n] += s != parseInt(s) ? 0 : parseInt(s)
}
}
for (const n in sum) {
json[n] = sum[n]
}
if (window.usepatientspeek && usepatientspeek.checked) {
json.nexits = "-"
json.ndeaths = "-"
}
let sumbed = 0
for (let i = 0; i < json_bed.area.length; i++) {
sumbed += getBedCount(json_bed.area[i])
}
json_bed.total.useratio = calcRatio(json.ncurrentpatients, sumbed)
json_bed.total.sumc = sumbed
const data = [ json, json_bed.total ]
const show = [ [ 'ncurrentpatients', 'nexits', 'ndeaths', 'npatients', 'lastUpdate' ], [ 'useratio', 'sumc' ] ]
for (let i = 0; i < data.length; i++) {
const d = data[i]
for (const name of show[i]) {
const div = document.getElementById(name)
if (div) {
let n = d[name]
if (parseInt(n) === n && n >= 1000)
n = addComma(n)
div.textContent = n
}
}
}
const v = json.vent
const pi = parseInt
ventce.textContent = addComma(v['総CE（名）'])
ventvent.textContent = addComma(pi(v['人工呼吸器取扱（台）']) + pi(v['マスク専用人工呼吸器取扱（台）']))
ventecmo.textContent = addComma(v['ECMO装置取扱（台）'])
const srcurl = 'https://www.ja-ces.or.jp/info-ce/%e4%ba%ba%e5%b7%a5%e5%91%bc%e5%90%b8%e5%99%a8%e3%81%8a%e3%82%88%e3%81%b3ecmo%e8%a3%85%e7%bd%ae%e3%81%ae%e5%8f%96%e6%89%b1%e5%8f%b0%e6%95%b0%e7%ad%89%e3%81%ab%e9%96%a2%e3%81%99%e3%82%8b%e7%b7%8a/'
ventsrc.innerHTML = tx(`2020年2月回答 出典 <a href=${srcurl}>一般社団法人 日本呼吸療法医学会 公益社団法人 日本臨床工学技士会</a>`)
}
/*
const json_now = JSON.parse(JSON.stringify(json))
const url_tokyo = 'https://raw.githubusercontent.com/tokyo-metropolitan-gov/covid19/master/data/data.json'
const json_tokyo = await (await fetch(url_tokyo)).json()
console.log('tokyo', json_tokyo)
const tokyo = json_now.area[PREF.indexOf('東京都')]
tokyo.npatients = json_tokyo.main_summary.children[0].value
tokyo.ncurrentpatients = json_tokyo.main_summary.children[0].children[0].value
tokyo.nexits = json_tokyo.main_summary.children[0].children[1].value
tokyo.ndeaths = json_tokyo.main_summary.children[0].children[2].value
json_now.lastUpdateNow = json_tokyo.lastUpdate.replace(/\//g, '-')
*/
const json_now = JSON.parse(JSON.stringify(json))
const fastprefs = []
{
const url_fast = makeURL('covid19japan-fast.json')
const json_fast = await (await fetch(url_fast)).json()
console.log('fast', json_fast)
for (const json of json_fast) {
const pref = json_now.area[PREF_EN.indexOf(json.name)]
for (const name in json) {
pref[name] = json[name]
}
// if nbeds exists
if (pref.nbeds) {
//console.log('nbeds', pref)
const bed = json_bed.area.find(a => a.name === pref.name)
bed.sumc = pref.nbeds
bed.sumc_src = { 出典: pref.src_url, 発表日: pref.lastUpdate }
// for Chart .. 整理が必要
pref.bed.sumc = pref.nbeds
pref.bed.sumc_src = { 出典: pref.src_url, 発表日: pref.lastUpdate }
}
if (!json_now.lastUpdateNow || parseTime(json_now.lastUpdateNow) < parseTime(pref.lastUpdate)) {
json_now.lastUpdateNow = pref.lastUpdate
}
//console.log(pref) //
fastprefs.push(shortenPref(pref.name_jp))
}
}
// 病床数データ日付
const set = new Set();
console.log({json_now})
json_now.area.forEach(d => set.add(d.bed.sumc_src.発表日));
lastUpdateBed.textContent = Array.from(set.keys()).join(", ");
// ピーク時
const json_peek = JSON.parse(JSON.stringify(json))
{
const url_peek = makeURL('jmari_med_or_jp/patients_peek.csv')
const scsv = await (await fetch(url_peek)).text()
const json_p = csv2json(decodeCSV(scsv))
//console.log('peek', json_p)
const sum = function(d, ar) {
let n = 0
for (const name of ar) {
n += parseInt(d[name].trim())
}
return n
}
const date = '2020-04-03'
for (let i = 0; i < json_p.length; i++) {
const a = json_peek.area[i]
a.npatients = parseInt(json_p[i]['発症者'].trim())
a.ncurrentpatients1 = parseInt(json_p[i]['入院患者'].trim())
a.ncurrentpatients2 = parseInt(json_p[i]['重症患者'].trim())
a.nicus = sum(json_p[i], [ "ICU", "HCU", "SCU" ])
a.nexits = ""
a.ndeaths = ""
a.lastUpdate = date
}
json_peek.lastUpdateNow = date
//console.log(json_peek)
}
const update = function() {
if (window.usepatientspeek && usepatientspeek.checked) {
for (let i = 0; i < json_peek.area.length; i++) {
const a = json_peek.area[i]
a.ncurrentpatients = usepatientspeekh.checked ? a.ncurrentpatients2 : a.ncurrentpatients1
}
json = json_peek
labelcurrent.textContent = tx(usepatientspeekh.checked ? 'ピーク時予測重症患者数' : 'ピーク時予測患者数')
} else {
if (window.usepatientspeekh) {
usepatientspeekh.checked = false
}
json = usepatientsnow.checked ? json_now : json_mhlw
labelcurrent.textContent = tx('現在患者数')
}
if (json.lastUpdateNow) {
lastUpdateNow.textContent = tx(' (速報 ' + json.lastUpdateNow + ")")
}
lastUpdateNow.style.display = usepatientsnow.checked ? "inline" : "none"
showSummary(json, json_bed)
showPrefs(json, json_bed, getBedCount)
}
update()
for (const chk of chkbed) {
chk.onclick = update
}
usebednow.onclick = update
usepatientsnow.onclick = update
if (window.usepatientspeek) {
usepatientspeek.onclick = update
usepatientspeekh.onclick = function() {
if (usepatientspeekh.checked) {
usepatientspeek.checked = true
}
update()
}
}
const makeCSVURL = function(url) {
url = cutQuery(url)
return url.substring(0, url.length - 4) + 'csv'
}
const url_csv = makeCSVURL(url)
//description.innerHTML = tx('新型コロナウイルス感染症（国内事例） 現在患者数 / 対策病床数（累積陽性者/累積退院者/累積死者数）')
datasrc.innerHTML = tx('データ出典<br>現在患者数（速報）: ' + link('https://docs.google.com/spreadsheets/d/1SPqnO0yLn8ubax96sDJZVDcjAH8QT1suLCIgroPGVHY/edit#gid=0', fastprefs.length + '都道府県発表 新型コロナウイルス患者数オープンデータ(' + fastprefs.join("/") + ')') + '→' + link("https://www.stopcovid19.jp/data/covid19japan-fast.csv", "CSV") + "/" + link("https://www.stopcovid19.jp/data/covid19japan-fast.json", "JSON") + "<br>現在患者数（日次更新、ベース）: " + link(json.srcurl_web, '厚生労働省「各都道府県の検査陽性者の状況」') + link(json.srcurl_pdf, 'PDF') + " → " + link(url_csv, 'CSV') + '/' + link(url, 'JSON')) + '/' + link('tableview.html', 'APP') + " / " + link("https://www.mhlw.go.jp/stf/covid-19/open-data.html", "厚労省オープンデータ");
//datasrc.innerHTML += tx("<br>対策病床数: " + link('https://docs.google.com/spreadsheets/d/1u0Ul8TgJDqoZMnqFrILyXzTHvuHMht1El7wDZeVrpp8/edit#gid=0', '都道府県発表 新型コロナウイルス対策病床数オープンデータ') + " & " + link('https://www.mhlw.go.jp/bunya/kenkou/kekkaku-kansenshou15/02-02.html', '厚生労働省「感染症指定医療機関の指定状況」') + " → " + link(url_bed, "JSON") + "/" + link('https://code4sabae.github.io/bedforinfection/', 'APP'))
datasrc.innerHTML += tx("<br>対策病床数（週次更新）: " + link("https://www.mhlw.go.jp/stf/seisakunitsuite/newpage_00023.html", "療養状況等及び入院患者受入病床数等に関する調査について｜厚生労働省") + " → " + link("https://www.stopcovid19.jp/data/covid19japan_beds/latest.csv", "CSV") + "/" + link("https://www.stopcovid19.jp/data/covid19japan_beds/latest.json", "JSON") + "/" + link("./mhlw-beds.html", "APP"));
datasrc.innerHTML += tx("<br>救急搬送困難事案数（週次更新）: " + link("https://www.fdma.go.jp/disaster/coronavirus/post-1.html", "新型コロナウイルス感染症に伴う救急搬送困難事案に係る状況調査について（救急企画室） | 新型コロナウイルス感染症関連 | 総務省消防庁") + " → " + link("https://github.com/code4fukui/fdma_go_jp/blob/main/README.md", "CSV") + "/" + link("https://code4fukui.github.io/fdma_go_jp/pref.html", "APP"));
const url_link = makeURL('covid19pref.json')
const json_link = await fetchJSON(url_link)
//const url_cio = makeURL('covid19cio.json')
//const json_cio = await fetchJSON(url_cio)
//console.log(json_cio)
showAreas(json_link, url_link, json, json_bed.total, getBedCount)
//description.textContent = json.description
//datasrc.innerHTML += tx("<br><a href=http://square.umin.ac.jp/jrcm/index.html>一般社団法人 日本呼吸療法医学会</a> <a href=https://www.ja-ces.or.jp/>公益社団法人 日本臨床工学技士会</a>")
lazyLoading()
/*
capture.onclick = async function() {
window.scrollTo(0, 0)
const canvas = await html2canvas(tocapture)
downloadImage('covid19japan.png', canvas.toDataURL())
}
*/
// hash
for (let i = 0; i < PREF_EN.length; i++) {
const pref = PREF_EN[i];
if (document.location.hash.indexOf(pref) >= 0) {
const div = get("jp" + (i + 1));
showChart(div);
break;
}
}
}
document.addEventListener("DOMContentLoaded", main)
const downloadImage = function(fn, data) {
const a = create('a')
a.href = data
a.download = fn
a.click()
}
const showChart = async function(data) {
//console.log('showChart', data.data)
console.log("show", data.data);
const npatients_c = data.data.ncurrentpatients
const nbed = data.getBedCount()
if (detail.chart) {
detail.chart.destroy()
}
detail.chart = new Chart(chart, {
type: 'pie',
data: {
labels: [ tx("現在患者数(" + npatients_c + ")"), tx("想定病床残数(" + (nbed - npatients_c) + ")") ],
datasets: [{
backgroundColor: [ 'red', '#ccc' ],
data: [ npatients_c, nbed - npatients_c < 0 ? 0 : nbed - npatients_c ],
}]
}
})
detailtitle.innerHTML = tx((data.data.name_jp ? data.data.name_jp : "全国") + ' 現在患者数/対策病床数 ' + calcRatio(npatients_c, nbed) + "%");
const voice = (data.data.name_jp ? data.data.name_jp : "全国") + "の現在患者数は、" + npatients_c + "人、対策病床数は" + nbed + "、その割合は" + calcRatio(npatients_c, nbed) + "%です";
detaildesc.innerHTML = "<span class=sum>" + tx(`累積陽性者: ${addComma(data.data.npatients)}人 累積退院者: ${addComma(data.data.nexits)}人<br> 累積死者: ${addComma(data.data.ndeaths)}人 対策病床数: ${addComma(nbed)}床`) + "</span>";
if (data.data.src_url) {
detaildesc.innerHTML += tx(`<br>現在患者数 出典: <a href=${data.data.url_opendata}>${data.data.name_jp} 新型コロナウイルス患者数オープンデータ</a>(更新日: ${data.data.lastUpdate})`)
} else {
detaildesc.innerHTML += tx(`<br>現在患者数 出典: <a href=${data.data.url_opendata}>厚生労働省 新型コロナウイルス感染症 各都道府県の検査陽性者の状況</a>(更新日: ${data.data.lastUpdate})`)
}
detaildesc.innerHTML += tx(`<br><a href=http://www.jibika.or.jp/members/information/info_corona.html>一般社団法人 日本耳鼻咽喉科学会</a>定義における`)
if (npatients_c < 10) {
detaildesc.innerHTML += tx(`ローリスク地域（現在患者数 ${npatients_c}名 < 10名）`)
} else {
detaildesc.innerHTML += tx(`ハイリスク地域（現在患者数 ${npatients_c}名 >= 10名）`)
}
//console.log(data.data)
const bed = data.data.bed
if (bed && bed.sumc_src) {
//console.log(bed.sumc_src)
detaildesc.innerHTML += tx(`<br>対策病床数`);
if (bed.sumc_src['備考']) {
detaildesc.innerHTML += tx(` ${bed.sumc_src['備考']}`)
}
detaildesc.innerHTML += tx(` 出典: <a href="https://www.mhlw.go.jp/stf/seisakunitsuite/newpage_00023.html" xhref="${bed.sumc_src['出典']}">新型コロナウイルス対策病床数オープンデータ</a>(発表日: ${bed.sumc_src['発表日']})`)
}
const v = data.data.vent
const pi = parseInt
detailvent.innerHTML = tx(`<br>(参考) 臨床工学技士:${addComma(v['総CE（名）'])}人 マスク専用含む人工呼吸器取扱:${addComma(pi(v['人工呼吸器取扱（台）']) + pi(v['マスク専用人工呼吸器取扱（台）']))}台 ECMO装置取扱:${addComma(v['ECMO装置取扱（台）'])}台`)
//detailvent.innerHTML += "<br>※総人工呼吸器取扱 = 人工呼吸器取扱 + マスク専用人工呼吸器取扱<br>データ出典：<a href=https://www.ja-ces.or.jp/info-ce/%e4%ba%ba%e5%b7%a5%e5%91%bc%e5%90%b8%e5%99%a8%e3%81%8a%e3%82%88%e3%81%b3ecmo%e8%a3%85%e7%bd%ae%e3%81%ae%e5%8f%96%e6%89%b1%e5%8f%b0%e6%95%b0%e7%ad%89%e3%81%ab%e9%96%a2%e3%81%99%e3%82%8b%e7%b7%8a/>人工呼吸器およびECMO装置の取扱台数等に関する緊急調査の結果について | 公益社団法人 日本臨床工学技士会</a><br>出典（<a href=https://www.ja-ces.or.jp/>一般社団法人 日本呼吸療法医学会 公益社団法人 日本臨床工学技士会</a>）"
const srcurl = 'https://www.ja-ces.or.jp/info-ce/%e4%ba%ba%e5%b7%a5%e5%91%bc%e5%90%b8%e5%99%a8%e3%81%8a%e3%82%88%e3%81%b3ecmo%e8%a3%85%e7%bd%ae%e3%81%ae%e5%8f%96%e6%89%b1%e5%8f%b0%e6%95%b0%e7%ad%89%e3%81%ab%e9%96%a2%e3%81%99%e3%82%8b%e7%b7%8a/'
detailvent.innerHTML += tx(`<br>2020年2月回答 出典: <a href=${srcurl}>一般社団法人 日本呼吸療法医学会 公益社団法人 日本臨床工学技士会</a>`)
detail.style.display = "block"
detail.style.animation = "fadein .2s ease 0s 1 normal"
/*detail.onclick = */btnclose2.onclick = btnclose.onclick = function() {
detail.style.animation = "fadeout .2s ease 0s 1 normal"
setTimeout(function() {
detail.style.display = "none"
}, 150)
};
if (data.appurl) {
btnapp.style.display = "inline"
btnapp.onclick = function(e) {
window.open(data.appurl)
e.stopPropagation()
}
} else {
btnapp.style.display = "none"
}
btnweb.onclick = function(e) {
window.open(data.url)
e.stopPropagation()
}
// 推移
detail_graph.innerHTML = "";
showAreaMapGraph(detail_graph, data.data.name);
// 東京
detail_areamap.innerHTML = ''
if (data.data.name == 'Tokyo') {
await showAreaMapTokyo()
}
// hash
{
const pref = data.data.name;
const hash = document.location.hash;
if (hash.indexOf('en') >= 0) {
document.location.hash = pref + ",en";
} else {
document.location.hash = pref;
}
}
// 読み上げ
btnsay.style.cursor = "pointer";
btnsay.onclick = async () => {
globalThis.voiceOver = globalThis.voiceOver || (await import("./voiceOver.js")).voiceOver;
voiceOver(voice);
};
}
// 推移グラフ
const showAreaMapGraph = async (parent, pref) => {
if (!pref) {
return;
}
const fn = `data/covid19japan/pref/${pref}.csv`;
const json = await fetchCSV(fn);
//console.log(fn, json);
const date = [];
const data1 = [];
const data2 = [];
const data_c = [];
const data_d = [];
let bkis = null;
for (const d of json) {
date.push(d.date);
data_c.push(d.ncurrentpatients);
data_d.push(d.ndeaths);
if (d.ninspections === undefined) {
data2.push(0);
} else {
const n = parseInt(d.ninspections);
if (bkis === null) {
data2.push(n);
} else {
data2.push(n - bkis);
}
bkis = n;
}
}
const config = {
data: {
labels: date,
datasets: [
{ type: "line", label: tx("入院治療を要する者"), data: data_c, borderColor: 'rgb(80, 80, 205)', fill: false, lineTension: 0, yAxisID: "yr" },
//{ type: "line", label: "PCR 検査陽性者数", data: data1, borderColor: 'rgb(255, 99, 132)', fill: false, lineTension: 0, yAxisID: "yl" },
// { type: "line", label: "死亡者数", data: data_dd, borderColor: 'rgb(10, 10, 12)', fill: false, lineTension: 0, yAxisID: "yl" },
{ type: "line", label: tx("累計死亡者数"), data: data_d, borderColor: 'rgb(10, 10, 12)', fill: false, lineTension: 0, yAxisID: "yl" },
//{ type: "bar", label: "PCR 検査実施件数", hidden: false /*true*/, data: data2, backgroundColor: 'rgb(99, 255, 132)', fill: false, lineTension: 0, yAxisID: "yr" }
]
},
options: {
scales: {
xAxes: [{ scaleLabel: { display: false, labelString: "日付" } }],
yAxes: [
{ id: "yr", position: "right", scaleLabel: { display: true, labelString: /*"PCR 検査実施件数・*/ tx("入院治療を要する者") }, ticks: { beginAtZero: true } },
{ id: "yl", position: "left", scaleLabel: { display: true, labelString: tx("PCR検査陽性者数・累計死亡者数") }, ticks: { beginAtZero: true } },
],
},
legend: { display: true }
}
};
parent.style.display = "block";
parent.style.marginBottom = ".5em";
const chart = document.createElement("canvas");
chart.width = 600;
chart.height = 350;
new Chart.Chart(chart, config);
parent.appendChild(chart);
};
// 東京マップ
const TOKYO_CITY_MAP = `奥多摩町 青梅市 武蔵村山市 東村山市 清瀬市 板橋区 北区 足立区
日の出町 瑞穂町 立川市 東大和市 東久留米市 練馬区 文京区 荒川区
あきる野市 羽村市 国分寺市 小平市 西東京市 中野区 千代田区 台東区
檜原村 福生市 国立市 小金井市 武蔵野市 豊島区 中央区 墨田区
- 昭島市 府中市 三鷹市 杉並区 新宿区 港区 葛飾区
- 日野市 多摩市 調布市 世田谷区 渋谷区 品川区 江戸川区
新島村 八王子市 町田市 稲城市 狛江市 目黒区 大田区 江東区
利島村 大島町 神津島村 御蔵島村 三宅村 青ヶ島村 八丈町 小笠原村`
const makeGrids = function(stab) {
const area = []
let maxc = 0
const lines = stab.split('\n')
for (let a of lines) {