infection.range.estimator: Compare estimated infections under a range of IFR models

In liamrevell/covid19.Explorer: A COVID-19 Explorer

Compare estimated infections under a range of IFR models

Description

Function to show estimated COVID-19 infections under a range of different IFR values or models.

Usage

	infection.range.estimator(state="Massachusetts",
		cumulative=FALSE,
		data=list(),
		delay=20,
		ifr.low=0.004,
		ifr.high=0.006,
		window=7,
		smooth=TRUE,
		span=c(0.12,0.3),
		percent=FALSE,
		plot=TRUE,
		bg="transparent",
		xlim=c(60,366+135),
		alpha=0.25,
		cdr=c("sigmoid","average"),
		...)

Arguments

state	state or jurisdiction.
cumulative	show cumulative infections (logical).
data	list containing CDC data. If not supplied, function will create this object.
delay	average lag from infection to death.
ifr.low	low value(s) of infection-fatality-ratio/rate or function. If more than one value is specified, IFR is interpolated using LOESS smoothing.
ifr.high	high value(s) of infection-fatality-ratio/rate or function.
window	window for moving average.
smooth	smooth estimated infections (logical).
span	values of span to be passed to loess. First value is for infections through time. Second value is for IFR if applicable.
percent	show values as percent of population (logical).
plot	create a plot (logical).
bg	background color for plots.
xlim	x-limits for the plot.
alpha	alpha transparency level for transparent elements of the plot.
cdr	model for case detection rate (CDR) through time.
...	optional arguments.

Value

A plot.

Author(s)

Liam Revell [e-mail]

References

References here.

liamrevell/covid19.Explorer documentation built on Feb. 19, 2023, 3:09 p.m.