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rgho is an R package to access WHO GHO data from R via the GHO
OData API, providing a simple query interface to the World Health
Organization’s data and statistics content.
As stated by the WHO website: The GHO data repository contains an extensive list of indicators, which can be selected by theme or through a multi-dimension query functionality. It is the World Health Organization’s main health statistics repository.
GHO data is composed of indicators structured in dimensions. The list
of dimensions is available in
vignette("b-dimensions", "rgho"), the list of indicators
for the GHO dimension (the main dimension) in
vignette("c-values-gho", "rgho")).
It is possible to access dimensions with
get_gho_dimensions():
## A 'GHO' object of 143 elements.
##
## Code Title
## 1 ADVERTISINGTYPE SUBSTANCE_ABUSE_ADVERTISING_TYPES
## 2 AGEGROUP Age Group
## 3 ALCOHOLTYPE Beverage Types
## 4 AMRGLASSCATEGORY AMR GLASS Category
## 5 ARCHIVE Archive date
## 6 ASSISTIVETECHBARRIER Barriers to accessing assistive products
## ...
##
## (Printing 6 first elements.)And codes for a given dimension with
get_gho_values():
## A 'GHO' object of 233 elements.
##
## Code Title
## 1 ABW Aruba
## 2 AFG Afghanistan
## 3 AGO Angola
## 4 AIA Anguilla
## 5 ALB Albania
## 6 AND Andorra
## ...
##
## (Printing 6 first elements.)## A 'GHO' object of 2833 elements.
##
## Code
## 1 Adult_curr_cig_smoking
## 2 Adult_curr_e-cig
## 3 Adult_curr_smokeless
## 4 Adult_curr_tob_smoking
## 5 Adult_curr_tob_use
## 6 Adult_daily_cig_smoking
## Title
## 1 Prevalence of current cigarette smoking among adults (%)
## 2 Prevalence of current e-cigarette use among adults (%)
## 3 Prevalence of current smokeless tobacco use among adults (%)
## 4 Prevalence of current tobacco smoking among adults (%)
## 5 Prevalence of current tobacco use among adults (%)
## 6 Prevalence of daily cigarette smoking among adults (%)
## ...
##
## (Printing 6 first elements.)The function search_dimensions() and
search_values() research a term in dimension or codes
labels, respectively.
## A 'GHO' object of 10 elements.
##
## Code Title
## 1 DHSMICSGEOREGION DHS/MICS subnational regions (Health equity monitor)
## 2 GBDREGION GBD Region
## 3 MGHEREG MGHE Region
## 4 RCREGION RC Region
## 5 REGION WHO regions
## 6 SUBREGION WHO subregions by child and adult mortality (GBD)
## ...
##
## (Printing 6 first elements.)## A 'GHO' object of 6 elements.
##
## Code
## 1 CM_03
## 2 nmr
## 3 WHOSIS_000003
## 4 WHS2_515
## 5 WHS3_56
## 6 WHS4_128
## Title
## 1 Number of neonatal deaths (0 to 27 days)
## 2 Neonatal mortality rate (deaths per 1000 live births)
## 3 Neonatal mortality rate (0 to 27 days) per 1000 live births) (SDG 3.2.2)
## 4 Distribution of causes of death among children aged <5 years (%) - Neonatal sepsis
## 5 Neonatal tetanus - number of reported cases
## 6 Neonates protected at birth against neonatal tetanus (PAB) (%)It is also possible to search results from an existing object.
## A 'GHO' object of 5 elements.
##
## Code Title
## 1 GBD_REG14_SEARB South East Asia region, stratum B (SEAR B)
## 2 GBD_REG14_SEARD South East Asia region, stratum D (SEAR D)
## 3 OECD_NON_SEAR South-East Asia (non-OECD)
## 4 SEAR South-East Asia
## 5 WHO_LMI_SEAR Low-and-middle-income countries of the South-East Asia RegionAn indicator can be downloaded as a data_frame with
get_gho_data(). Here we use MDG_0000000001,
Infant mortality rate (probability of dying between birth and age 1
per 1000 live births):
## A 'GHO' object of 37328 elements.
##
## Id IndicatorCode ParentLocationCode ParentLocation
## 1 1403778 MDG_0000000001 <NA> <NA>
## 2 1448715 MDG_0000000001 EUR Europe
## 3 378739 MDG_0000000001 AMR Americas
## 4 1035891 MDG_0000000001 EMR Eastern Mediterranean
## 5 874412 MDG_0000000001 AFR Africa
## 6 355877 MDG_0000000001 SEAR South-East Asia
## Value NumericValue Low High
## 1 11.76 [11.33-12.42] 11.75755 11.32657 12.42492
## 2 2.48 [2.29-2.68] 2.47646 2.28634 2.67760
## 3 160.46 [137.26-187.84] 160.45813 137.26335 187.83739
## 4 104.51 [84.65-136.78] 104.50555 84.64581 136.77897
## 5 119.68 [110.63-128.92] 119.67624 110.62894 128.91993
## 6 215.57 [181.37-258.94] 215.57298 181.36834 258.94449
## Date TimeDimensionValue TimeDimensionBegin
## 1 2023-02-16T07:31:03+01:00 2019 2019-01-01T00:00:00+01:00
## 2 2023-02-16T07:56:51+01:00 2021 2021-01-01T00:00:00+01:00
## 3 2023-02-16T07:54:36+01:00 1954 1954-01-01T00:00:00+01:00
## 4 2023-02-16T08:07:16+01:00 1998 1998-01-01T00:00:00+01:00
## 5 2023-02-16T07:55:59+01:00 1990 1990-01-01T00:00:00+01:00
## 6 2023-02-16T07:53:44+01:00 1950 1950-01-01T00:00:00+01:00
## TimeDimensionEnd REGION COUNTRY GLOBAL YEAR SEX
## 1 2019-12-31T00:00:00+01:00 AMR <NA> <NA> 2019 SEX_BTSX
## 2 2021-12-31T00:00:00+01:00 <NA> CZE <NA> 2021 SEX_MLE
## 3 1954-12-31T00:00:00+01:00 <NA> BRA <NA> 1954 SEX_MLE
## 4 1998-12-31T00:00:00+01:00 <NA> SOM <NA> 1998 SEX_BTSX
## 5 1990-12-31T00:00:00+01:00 <NA> COD <NA> 1990 SEX_BTSX
## 6 1950-12-31T00:00:00+01:00 <NA> BGD <NA> 1950 SEX_FMLE
## ...
##
## (Printing 6 first elements.)The filter argument in get_gho_data()
allows request filtering:
result <- get_gho_data(
code = "MDG_0000000001",
filter = list(
REGION = "EUR",
YEAR = 2015
)
)
print(result)## A 'GHO' object of 3 elements.
##
## Id IndicatorCode Value NumericValue Low High
## 1 1334428 MDG_0000000001 8.09 [7.84-8.37] 8.09124 7.83819 8.36952
## 2 1334430 MDG_0000000001 8.96 [8.67-9.28] 8.95834 8.66572 9.28486
## 3 1334429 MDG_0000000001 7.18 [6.95-7.44] 7.18045 6.95096 7.44140
## Date TimeDimensionValue TimeDimensionBegin
## 1 2023-03-01T16:34:25+01:00 2015 2015-01-01T00:00:00+01:00
## 2 2023-03-01T16:34:32+01:00 2015 2015-01-01T00:00:00+01:00
## 3 2023-03-01T16:34:39+01:00 2015 2015-01-01T00:00:00+01:00
## TimeDimensionEnd REGION YEAR SEX
## 1 2015-12-31T00:00:00+01:00 EUR 2015 SEX_BTSX
## 2 2015-12-31T00:00:00+01:00 EUR 2015 SEX_MLE
## 3 2015-12-31T00:00:00+01:00 EUR 2015 SEX_FMLEFor details about how the requests are performed and the options
available (especially proxy settings) see
vignette("e-details", "rgho").
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.