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Load and return a tibble containing raw influenza surveillance data, aggregated across all countries in the WHO region of interest. Data are from WHO Flu Mart.

Usage

get_regional_inputs_1997_to_present(region, max_year)

Arguments

region

name of WHO region. Run show_available_regions() for a list of options.

max_year

results will be output for all available years up to max_year.

Value

A tibble with the following columns:

  • WHOREGION: name of WHO region.

  • Year: calendar year .

  • n_H1N1, n_H2N2, n_H3N2: number of influenza specimens that tested positive for each influenza A subtype.

  • n_A: total specimens positive for influenza A (= n_H1N1 + n_H2N2 + n_H3N2).

  • n_BYam, n_BVic: number of specimens positive for each lineage of influenza B: Victoria or Yamagata.

  • n_B: total specimens positive for influenza B.

  • n_processed: total specimens processed.

Examples

get_regional_inputs_1997_to_present("americas", 2017)
#> # A tibble: 26 × 9
#>    WHOREGION            Year n_H1N1 n_H3N2   n_A n_BYam n_BVic   n_B n_processed
#>    <chr>               <dbl>  <dbl>  <dbl> <dbl>  <dbl>  <dbl> <dbl>       <dbl>
#>  1 Region of the Amer…  1997     16   1068  1084      0      0     0       21898
#>  2 Region of the Amer…  1998     19    670   689      0      0     0       43896
#>  3 Region of the Amer…  1999     93   5987  6080      0      0     0      138107
#>  4 Region of the Amer…  2000    862   1512  2374      0      0     0      119574
#>  5 Region of the Amer…  2001   1505   1125  2630      0      0     0      137455
#>  6 Region of the Amer…  2002    375   4364  4739      0      0     0      202359
#>  7 Region of the Amer…  2003   2565   7875 10440      0      0     0      279035
#>  8 Region of the Amer…  2004     88   3212  3300      0      0     0      180795
#>  9 Region of the Amer…  2005    202   7173  7375      0      0     0      231649
#> 10 Region of the Amer…  2006   1643   4241  5884      0      0     0      229234
#> # … with 16 more rows