Quick plot of ERVISS non-sentinel tests/detections data — quick_plot_nonsentinel

Convenience function that fetches and plots ERVISS non-sentinel tests/detections data in one step. For more control, use get_nonsentinel_tests followed by plot_nonsentinel_tests.

Usage

quick_plot_nonsentinel_tests(
  csv_file = NULL,
  date_min,
  date_max,
  pathogen = "",
  indicator = "",
  age = "",
  countries = "",
  date_breaks = "1 month",
  date_format = "%b %Y",
  use_snapshot = FALSE,
  snapshot_date = NULL
)

Arguments

csv_file: Path to a local CSV file or URL containing the ERVISS data. If NULL (default), data is fetched from the official ERVISS repository.
date_min: Start date of the period (Date object)
date_max: End date of the period (Date object)
pathogen: Character vector of pathogen names to filter. Use "" (default) to include all pathogens.
indicator: Character vector of indicators to filter: "detections", "tests", or both. Use "" (default) to include all indicators.
age: Character vector of age groups to filter (e.g., "total"). Use "" (default) to include all age groups.
countries: Character vector of country names to filter. Use "" (default) to include all countries.
date_breaks: A string specifying the date breaks for the x-axis (e.g., "1 month", "2 weeks")
date_format: A string specifying the date format for x-axis labels (e.g., "%b %Y" for "Jan 2024")
use_snapshot: Logical. If TRUE, fetches a historical snapshot; if FALSE (default), fetches the latest data. Ignored if csv_file is provided.
snapshot_date: Date of the snapshot to retrieve. Required if use_snapshot = TRUE and csv_file is NULL.

Value

A ggplot2 object showing non-sentinel tests/detections over time by country and pathogen

Examples

# \donttest{
# Quick visualization of non-sentinel detections
quick_plot_nonsentinel_tests(
  date_min = as.Date("2024-01-01"),
  date_max = as.Date("2024-12-31"),
  pathogen = "Influenza",
  indicator = "detections",
  date_breaks = "1 month"
)

# }