overdoses.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{overdoses}
\alias{overdoses}
\title{OPTIC Overdoses example data.}
\format{
A data frame with 969 rows and 7 variables:
\describe{
  \item{state}{US state}
  \item{year}{Year}
  \item{population}{Population estimate (Centers for Disease Control and Prevention, National Center for Health Statistics)}
  \item{unemploymentrate}{Average annual unemployment rate (US Bureau of Labor Statistics)}
  \item{opioid_rx}{Estimated number of annual opioid prescriptions dispensed per 100 residents (Centers for Disease Control and Prevention, IQVIA)}
  \item{deaths}{Annual number of drug-induced deaths (all drug overdose) (Centers for Disease Control and Prevention, National Center for Health Statistics)}
  \item{crude.rate}{Crude rate of drug-induced deaths (all drug overdose) per 100,000 residents (Centers for Disease Control and Prevention, National Center for Health Statistics)}
}
}
\source{
US Bureau of Labor Statistics. Local Area Unemployment Statistics April 2019 release. Accessed at https://www.bls.gov/lau/.

Centers for Disease Control and Prevention, National Center for Health Statistics. Multiple Cause of Death 1999-2019 on CDC WONDER Online Database, released in 2020. Data are from the Multiple Cause of Death Files, 1999-2019, as compiled from data provided by the 57 vital statistics jurisdictions through the Vital Statistics Cooperative Program. Accessed at \url{http://wonder.cdc.gov/mcd-icd10.html}.

Centers for Disease Control and Prevention, IQVIA Xponent 2006–2019. U.S. Opioid Dispensing Rate Maps. Accessed at https://www.cdc.gov/drugoverdose/rxrate-maps/index.html.
}
\usage{
overdoses
}
\description{
An example dataset for performing simulations using the OPTIC library,
consisting of state-year overdose data from the US Bureau of Labor Statistics, 
the Centers from Disease Control and Prevention, and IQVIA Xponent.
}
\keyword{datasets}