\item{language}{language of the returned text, defaults to system language (see \code{\link[=get_AMR_locale]{get_AMR_locale()}}) and can also be set with \code{getOption("AMR_locale")}. Use \code{language = NULL} or \code{language = ""} to prevent translation.}
\item{tolower}{a \link{logical} to indicate whether the first \link{character} of every output should be transformed to a lower case \link{character}.}
\item{...}{other arguments passed on to \code{\link[=as.av]{as.av()}}}
\item{administration}{way of administration, either \code{"oral"} or \code{"iv"}}
\item{open}{browse the URL using \code{\link[utils:browseURL]{utils::browseURL()}}}
\item{property}{one of the column names of one of the \link{antivirals} data set: \code{vector_or(colnames(antivirals), sort = FALSE)}.}
}
\value{
\itemize{
\item An \link{integer} in case of \code{\link[=av_cid]{av_cid()}}
\item A named \link{list} in case of \code{\link[=av_info]{av_info()}} and multiple \code{\link[=av_atc]{av_atc()}}/\code{\link[=av_synonyms]{av_synonyms()}}/\code{\link[=av_tradenames]{av_tradenames()}}
\item A \link{double} in case of \code{\link[=av_ddd]{av_ddd()}}
Use these functions to return a specific property of an antiviral drug from the \link{antivirals} data set. All input values will be evaluated internally with \code{\link[=as.av]{as.av()}}.
All output \link[=translate]{will be translated} where possible.
The function \code{\link[=av_url]{av_url()}} will return the direct URL to the official WHO website. A warning will be returned if the required ATC code is not available.
}
\section{Source}{
World Health Organization (WHO) Collaborating Centre for Drug Statistics Methodology: \url{https://www.whocc.no/atc_ddd_index/}
European Commission Public Health PHARMACEUTICALS - COMMUNITY REGISTER: \url{https://ec.europa.eu/health/documents/community-register/html/reg_hum_atc.htm}
All data sets in this \code{AMR} package (about microorganisms, antibiotics, SIR interpretation, EUCAST rules, etc.) are publicly and freely available for download in the following formats: R, MS Excel, Apache Feather, Apache Parquet, SPSS, SAS, and Stata. We also provide tab-separated plain text files that are machine-readable and suitable for input in any software program, such as laboratory information systems. Please visit \href{https://msberends.github.io/AMR/articles/datasets.html}{our website for the download links}. The actual files are of course available on \href{https://github.com/msberends/AMR/tree/main/data-raw}{our GitHub repository}.