Preprost SIR modelSledilnik DataTAN vs. cases hepatomancySledilnik - rast po občinah7d vsote primerov po občinahTestiranjeEPISARI podatkiVzgoja in izobraževanje - MIZŠFazni diagrami — regije in občineIncidenca po starostnih skupinah#OstaniZdrav — sledilnik.orgEU color coding — Sledilnik COVID-19Sledilnik.org — Ocena trajanja hospitalizacij v SlovenijiMap of 14-days incidence — Sledilnik COVID-19Covid-19 Sledilnik.org — offset and ratio for confirmed, hospitalised, icu, released and deceased14-days incidence and Slovenia's list of green, yellow and red countries — Sledilnik COVID-19
Deleži resnih primerov in smrti
datepointsRunning(70).slice(158)
ratioData(datepointsRunning(70),'confirmed','hospital',-2).slice(-3)
13680/865
ratioData = function(series, nom, denom, off) {
const offLeft = Math.floor((off+1) / 2);
const offRight = off - offLeft;
//return [offLeft, offRight];
return series
.map((d, indx, arr) => ({
date: d.date,
value: !chkbounds(arr.length, indx, offLeft, offRight)
? null
: [arr[indx + offLeft][nom], arr[indx - offRight][denom]]
}))
.map((d, indx, arr) => ({
date: d.date,
value: d.value ? ratio(d.value[0], d.value[1]) : null
}))
.filter(d => (d.value || d.value===0));
}
function seriesData(series, key) {
return series.map((d, indx, arr) => ({
date: d.date,
value: d[key]
})).filter(d => (+d.value || d.value===0));
};
gauss3date = function(d, indx, arr) {
const krnl = [0.27901,0.44198,0.27901];
const avgval = (indx < 1 || indx > arr.length - 2)
? null
: (krnl[0]*arr[indx-1].value + krnl[1]*arr[indx].value + krnl[2]*arr[indx+1].value);
return ({
date: d.date,
value: (+avgval || avgval === 0) ? avgval : null
});
}
chkbounds(162, 34, 35, 35)
chkbounds = function(len, indx, padLeft, padRight) {
const pad = Math.max(Math.abs(padLeft), Math.abs(padRight));
return indx >= pad && indx < len - pad;
}
weights_hospitalization=[
2.8, 1.1, 2.3, 3.7, 4.4, 6.6, 13.8, 27.5, 28.5,
3.5, 1.2, 2.1, 4.0, 7.3, 12.1, 22.6, 38.4, 44.3
].map(a => a/100);
weights_hosp_EPISARI_dec_feb = [
0.032822757, 0.002592353, 0.000666667, 0.000978234, 0.002803829, 0.007854194, 0.02610685, 0.091454633, 0.176411627, 0.184586108,
0.015717092, 0, 0.000469704, 0.002033812, 0.00827601, 0.019358469, 0.060459325, 0.15269257, 0.262322473, 0.314180929
];
stats[250]
weighted(stats[200],[1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0])
function weighted_sari(s, weights) {
let ret = 0;
agePropNames.slice(0, 10).forEach((p, i) => {
ret += s[p] * weights[i];
});
agePropNames.slice(10).forEach((p, i) => {
ret += s[p] * weights[i];
});
return ret;
}
function weighted(s, weights) {
let ret = 0;
let prev = 0;
agePropNames.slice(0, 10).forEach((p, i) => {
const cur = s[p];
if (i != 0) {
ret += (prev + cur) * 0.5 * weights[i-1];
}
prev = cur;
});
agePropNames.slice(10).forEach((p, i) => {
const cur = s[p];
if (i != 0) {
ret += (prev + cur) * 0.5 * weights[9 + i - 1];
}
prev = cur;
});
return ret;
}
agePropNames.slice(0,10)
datepoints[3]
datepointsOffset = function(startIdx, data = datepoints) {
const ref = data[startIdx];
return data.slice(startIdx).map((a, idx, arr) => {
const ret = {};
for (let key in a) {
ret[key] = a[key] - ref[key];
if (key.includes('active')) {
ret[key] = a[key];
}
}
ret.day = a.day;
ret.date = a.date;
return ret;
}).filter(a => a!=null);
}
function geomavg(arr, startIdx, endIdx) {
let cum = 1;
let cnt = 0;
for (let idx = startIdx; idx <= endIdx; idx++) {
if (arr[idx]) {
cum = cum * arr[idx];
cnt++;
}
}
return Math.pow(cum, 1/cnt);
}
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