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Quelle: ICU Daten bundesweit
visualizeIcu(data = babsim.hospital::icudata, region = 5315)
icu data, e.g., icudata
Region: Gemeindeschluessel, int 05374
fuer OBK oder
|code05315 fuer Koeln oder 05911
fuer Bochum.
data.frame of 9 variables
int 1 1 1 1 1 1 1 1 1 1 ...
int 1001 1002 1003 1004 1051 1053 1054 1055 1056 1057 ...
int 2 3 2 1 1 2 1 3 2 1 ...
int 0 3 5 1 3 1 0 0 5 1 ...
int 0 2 5 1 1 1 0 0 4 0 ...
int 2 3 2 1 1 2 1 3 2 1 ...
int 44 113 115 19 54 7 7 18 10 7 ...
int 38 110 108 19 26 17 3 34 27 5 ...
Date, format: '2020-05-01' '2020-05-01' '2020-05-01' '2020-05-01' ... '2020-08-21'
# NOT RUN {
require("stats")
icu <- babsim.hospital::icudata
icuCov <- as.data.frame(xtabs(faelle_covid_aktuell ~ daten_stand, icu))
icuCov$daten_stand <- as.Date(icuCov$daten_stand)
icuCovBeatm <- as.data.frame(xtabs(faelle_covid_aktuell_beatmet ~ daten_stand, icu))
icuCovBeatm$daten_stand <- as.Date(icuCovBeatm$daten_stand)
dataICUBeds <- data.frame(
bed = (icuCov$Freq - icuCovBeatm$Freq),
intensiveBedVentilation = icuCovBeatm$Freq,
Day = as.Date(icuCovBeatm$daten_stand)
)
require("padr")
require("stats")
icu <- babsim.hospital::icudata
icu <- pad(icu, interval = "day")
icuCov <- as.data.frame(xtabs(faelle_covid_aktuell ~ daten_stand, icu))
icuCovBeatm <- as.data.frame(xtabs(faelle_covid_aktuell_beatmet ~ daten_stand, icu))
icuCovBett <- as.data.frame(xtabs(betten_belegt ~ daten_stand, icu))
plot(icuCov$daten_stand, icuCov$Freq,
type = "p", xlab = "Tag", ylab = "COVID ",
main = "COVID-Faelle in Behandlung im KHaus"
)
plot(icuCovBeatm$daten_stand, icuCovBeatm$Freq,
type = "p", xlab = "Tag",
ylab = "Patienten", main = "Beatmete COVID-19-Pat. nur invasive Beatmung und ECMO"
)
plot(icuCovBett$daten_stand, icuCovBett$Freq, type = "l", xlab = "Tag", ylab = "ICU Betten belegt")
# Nur Daten des OBK:
icu <- babsim.hospital::icudata
icu <- icu[icu$gemeindeschluessel == 05374, ]
# }
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