get_future_indicators: Get future indicators

In YuanchenZhu2020/DemoPreTurningPointsCOVID19: Demo of Tracking and Forecasting Milepost Moments of COVID-19

Description

Get future infection_rate, removed_rate, active_cases and confirmed cases.

Usage

get_future_indicators(indicators, velocity, Beginning_Time)

Arguments

indicators	dataframe that stores indicators calculate by get_indicators(): date: the exact day in the formate "%y-%m-%d" as a character confirmed: the daily confirmed cases at the given date recovered: the daily recovered cases at the given date deaths: the daily deaths at the given daten cum_confirmed: the cumulative confirmed cases active_cases: The number of infectious cases in hospital infection_rate: The daily infection rate removed_rate: the daily removed rate
velocity	A list contains infection_rate_velocity, removed_rate_velocity, and 2 corrected vector c(T, M) used to calculate the above 2 indicators which may be needed in later calculation.
Beginning_Time	the selection of beginning time, which must be in the formate "%y-%m-%d" as a character.

Value

dataframe with 4 predicted indicators:

• date: the exact day in the formate "%y-%m-%d" as a character

• infection_rate.pre: prediction result of infection rate

• removed_rate.pre: prediction result of removed_rate

• active_cases.pre: prediction result of active_cases

• confirmed.pre: prediction result of confirmed cases All of these data is calculated from the Beginning_Time.

Examples

Beginning_Time <- "2020-01-29"
M <- 5
indicators <- get_indicators(DemoPreTurningPointsCOVID19::COVID19_CN)
velocity <- calc_velocity(indicators, M, Beginning_Time)
pre_data <- get_future_indicators(indicators, velocity, Beginning_Time)

YuanchenZhu2020/DemoPreTurningPointsCOVID19 documentation built on Aug. 17, 2020, 12:24 a.m.