R/ili_dat.R

In SpTe2M: Nonparametric Modeling and Monitoring of Spatio-Temporal Data

#' @title Florida influenza-like illness data
#' @name ili_dat
#' @docType data
#' @author  Kai Yang \email{kayang@mcw.edu} and Peihua Qiu
#' @description 
#' Daily influenza-like illness (ILI) incidence rates at 67 Florida counties 
#' during years 2012-2014. The ILI incidence rates were collected by the 
#' Electronic Surveillance System for the Early Notification of Community-based 
#' Epidemics (ESSENCE) that was developed by the Florida Department of Health. 
#' Researchers can have an access to the ESSENCE database after a proper online 
#' registration. Moreover, some weather conditions during years 2012-2014 can 
#' be obtained from  the official website of the National Oceanic and Atmospheric 
#' Administration of the United States. The ILI dataset used here contains 8 
#' variables, including \code{County}, \code{Date}, \code{Lat}, \code{Long}, 
#' \code{Time}, \code{Rate} (ILI incidence rate), \code{Temp} (temperature) 
#' and \code{RH} (relative humidity), from the two databases mentioned above, 
#' where \code{Long} and \code{Lat} refer to the longitude and latitude of the 
#' geometric centers of each Florida county, respectively.
#' @format 
#' A dataframe containing \eqn{N=73,432} observations of 8 variables.
#' @keywords ili_dat
#' @usage data(ili_dat)
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