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43 lines
1.6 KiB
43 lines
1.6 KiB
#' Retrieve National Syndromic Surveillance Program (NSSP): Emergency Department Visits Percentage of Visits for COVID-19-Like Illness (CLI) or Influenza-like Illness (ILI)
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#'
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#' @references <https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/04102020/nssp-regions.html>
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#' @return data frame
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#' @export
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nssp_er_visits_national <- function() {
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pg <- xml2::read_html("https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/04102020/nssp-regions.html")
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nat_tbl <- rvest::html_nodes(pg, xpath=".//table[contains(., 'National')]")
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nat_rows <- rvest::html_nodes(nat_tbl, "tbody > tr")
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lapply(nat_rows, function(.x) {
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nat_tds <- rvest::html_nodes(.x, "td")
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nat_tds <- gsub(",", "", rvest::html_text(nat_tds))
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as_tibble(as.data.frame(
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as.list(
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set_names(
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nat_tds, sprintf("X%02d", 1:length(nat_tds))
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)
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),
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stringsAsFactors = FALSE
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))
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}) -> nat_rows
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nat_tbl <- do.call(rbind.data.frame, nat_rows)
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cli <- set_names(nat_tbl[, 1:5], c("week", "num_fac", "total_ed_visits", "visits", "pct_visits"))
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cli$visit_type <- "cli"
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ili <- set_names(nat_tbl[, c(1:3, 6:7)], c("week", "num_fac", "total_ed_visits", "visits", "pct_visits"))
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ili$visit_type <- "ili"
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nat_tbl <- rbind(ili, cli, stringsAsFactors = FALSE)
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nat_tbl$region <- "National"
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nat_tbl$source <- "Emergency Departments"
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nat_tbl$year <- clean_int(substr(nat_tbl$week, 1, 4))
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nat_tbl$week <- clean_int(substr(nat_tbl$week, 5, 6))
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nat_tbl$num_fac <- clean_int(nat_tbl$num_fac)
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nat_tbl$visits <- clean_int(nat_tbl$visits)
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nat_tbl$pct_visits <- clean_num(nat_tbl$pct_visits)/100
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as_tibble(nat_tbl[!is.na(nat_tbl$week),])
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}
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