MalariaAtlas
An R interface to open-access malaria data, hosted by the Malaria Atlas Project.
Install / Use
/learn @malaria-atlas-project/MalariaAtlasREADME
output: md_document: preserve_yaml: false
malariaAtlas
An R interface to open-access malaria data, hosted by the Malaria Atlas Project.
The gitlab version of the malariaAtlas package has some additional bugfixes over the stable CRAN package. If you have any issues, try installing the latest github version. See below for instructions.
Overview
This package allows you to download parasite rate data (Plasmodium falciparum and P. vivax), survey occurrence data of the 41 dominant malaria vector species, and modelled raster outputs from the Malaria Atlas Project.
More details and example analyses can be found in the [published paper)[(https://link.springer.com/article/10.1186/s12936-018-2500-5).
Available Data:
The data can be explored at https://data.malariaatlas.org/maps.
List Versions Functions
The list version functions are used to list the available versions of different datasets, and all return a data.frame with a single column for version. These versions can be passed to functions such as listShp, listSpecies, listPRPointCountries, listVecOccPointCountries, getPR, getVecOcc and getShp.
Use:
-
listPRPointVerions()to see the available versions for PR point data, which can then be used inlistPRPointCountriesandgetPR. -
listVecOccPointVersions()to see the available versions for vector occurrence data, which can then be used inlistSpecies,listVecOccPointCountriesandgetVecOcc. -
listShpVersions()to see the available versions for admin unit shape data, which can then be used inlistShpandgetShp.
listPRPointVersions()
listVecOccPointVersions()
listShpVersions()
List Countries and Species Functions
To list the countries where there is available data for PR points or vector occurrence points, use:
listPRPointCountries()for PR pointslistVecOccPointCountries()for vector occurrence points
To list the species available for vector point data use listSpecies()
All three of these functions can optionally take a version parameter (which can be found with the list versions functions). If you choose not to provide a version, the most recent version of the relevant dataset will be selected by default.
listPRPointCountries(version = "202206")
listVecOccPointCountries(version = "201201")
listSpecies(version = "201201")
List Administrative Units
To list administrative units for which shapefiles are stored on the MAP geoserver, use listShp(). Similar to the list countries and species functions, this function can optionally take a version.
listShp(version = "202206")
List Raster Function
listRaster() gets minimal information on all available rasters. It returns a data.frame with several columns for each raster such as dataset_id, title, abstract, min_raster_year and max_raster_year. The dataset_id can then be used in getRaster and extractRaster.
listRaster()
Is Available Functions
isAvailable_pr confirms whether or not PR survey point data is available to download for a specified country, ISO3 code or continent.
Check whether PR data is available for Madagascar:
isAvailable_pr(country = "Madagascar")
Check whether PR data is available for the United States of America by ISO code:
isAvailable_pr(ISO = "USA")
Check whether PR data is available for Asia:
isAvailable_pr(continent = "Asia")
isAvailable_vec confirms whether or not vector survey point data is available to download for a specified country, ISO3 code or continent.
Check whether vector data is available for Myanmar:
isAvailable_vec(country = "Myanmar")
Check whether vector data is available for multiple countries:
isAvailable_vec(country = c("Nigeria", "Ethiopia"))
You can also pass these functions a dataset version. If you don't they will default to using the most recent version.
isAvailable_pr(country = "Madagascar", version = "202206")
Downloading & Visualising Data:
get* functions & autoplot methods
Parasite Rate Survey Points
getPR() downloads all publicly available PR data points for a specified location (country, ISO, continent or extent) and plasmodium species (Pf, Pv or BOTH) and returns this as a dataframe with the following format:
MDG_pr_data <- getPR(country = "Madagascar", species = "both")
## Rows: 2,298
## Columns: 28
## $ dhs_id <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ site_id <int> 8689, 6221, 18093, 6021, 15070, 15795, 7374, 13099, 9849, 11961, 21475, 115…
## $ site_name <chr> "Vodivohitra", "Andranomasina", "Ankazobe", "Andasibe", "Ambohimarina", "An…
## $ latitude <dbl> -16.21700, -18.71700, -18.31600, -19.83400, -18.73400, -19.76990, -25.03230…
## $ longitude <dbl> 49.68300, 47.46600, 47.11800, 47.85000, 47.25200, 46.68700, 46.99600, 47.16…
## $ rural_urban <chr> "RURAL", "UNKNOWN", "RURAL", "UNKNOWN", "UNKNOWN", "UNKNOWN", "UNKNOWN", "U…
## $ country <chr> "Madagascar", "Madagascar", "Madagascar", "Madagascar", "Madagascar", "Mada…
## $ country_id <chr> "MDG", "MDG", "MDG", "MDG", "MDG", "MDG", "MDG", "MDG", "MDG", "MDG", "MDG"…
## $ continent_id <chr> "Africa", "Africa", "Africa", "Africa", "Africa", "Africa", "Africa", "Afri…
## $ month_start <int> 11, 1, 11, 3, 1, 7, 4, 1, 1, 2, 7, 11, 4, 7, 11, 4, 9, 7, 7, 3, 7, 7, 7, 11…
## $ year_start <int> 1989, 1987, 1989, 1987, 1987, 1995, 1986, 1987, 1987, 2003, 1995, 1989, 198…
## $ month_end <int> 11, 1, 12, 3, 1, 8, 6, 1, 1, 2, 8, 12, 4, 8, 11, 6, 9, 8, 8, 6, 7, 7, 7, 12…
## $ year_end <int> 1989, 1987, 1989, 1987, 1987, 1995, 1986, 1987, 1987, 2003, 1995, 1989, 198…
## $ lower_age <dbl> 5, 0, 5, 0, 0, 2, 7, 0, 0, 0, 2, 5, 6, 2, 2, 7, 0, 2, 2, 0, 2, 0, 0, 5, 0, …
## $ upper_age <int> 15, 99, 15, 99, 99, 9, 22, 99, 99, 99, 9, 15, 12, 9, 9, 22, 99, 9, 9, 5, 9,…
## $ examined <int> 165, 50, 258, 246, 50, 50, 119, 50, 50, 210, 50, 340, 20, 50, 61, 156, 104,…
## $ positive <dbl> 144.0, 7.5, 139.0, 126.0, 2.5, 6.0, 37.0, 13.5, 4.5, 34.0, 11.5, 255.0, 8.0…
## $ pr <dbl> 0.87272727, 0.15000000, 0.53875969, 0.51219512, 0.05000000, 0.12000000, 0.3…
## $ species <chr> "P. falciparum", "P. falciparum", "P. falciparum", "P. falciparum", "P. fal…
## $ method <chr> "Microscopy", "Microscopy", "Microscopy", "Microscopy", "Microscopy", "Micr…
## $ rdt_type <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ pcr_type <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ malaria_metrics_available <lgl> TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRU…
## $ location_available <lgl> TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRU…
## $ permissions_info <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ citation1 <chr> "Lepers, J.P. (1989). <i>Rapport sur la situation du paludisme dans la régi…
## $ citation2 <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ citation3 <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
Africa_pvpr_data <- getPR(continent = "Africa", species = "Pv")
Extent_pfpr_data <- getPR(extent = rbind(c(-2.460181, 13.581921), c(-3.867188, 34.277344)), species = "Pf")
You can also pass this function a dataset version. If you don't it will default to using the most recent version.
MDG_pr_data_202206 <- getPR(country = "Madagascar", species = "both", version = "202206")
autoplot.pr.points configures autoplot method to enable quick mapping of the locations of downloaded PR points.
autoplot(MDG_pr_data)
A version without facetting is also available.
autoplot(MDG_pr_data,
facet = FALSE)
Vector Survey Points
getVecOcc() downloads all publicly available Vector survey points for a specified location (country, ISO, continent or extent) and species (options for which can be found with listSpecies) and returns this as a dataframe with the following format:
MMR_vec_data <- getVecOcc(country = "Myanmar")
## Rows: 2,866
## Columns: 25
## $ id <int> 1945, 1946, 1951, 1952, 790, 781, 772, 791, 773, 783, 774, 776, 777, 792, 778, 779, 78…
## $ site_id <int> 30243, 30243, 30243, 30243, 1000000072, 1000000071, 1000000071, 1000000072, 1000000071…
## $ latitude <dbl> 16.2570, 16.2570, 16.2570, 16.2570, 17.3500, 17.3800, 17.3800, 17.3500, 17.3800, 17.38…
## $ longitude <dbl> 97.7250, 97.7250, 97.7250, 97.7250, 96.0410, 96.0370, 96.0370, 96.0410, 96.0370, 96.03…
## $ country <chr> "Myanmar", "Myanmar", "Myanmar", "Myanmar", "Myanmar", "Myanmar", "Myanmar", "Myanmar"…
## $ country_id <chr> "MMR", "MMR", "MMR", "MMR", "MMR", "MMR", "MMR", "MMR", "MMR", "MMR", "MMR", "MMR", "M…
## $ continent_id <chr> "Asia", "Asia", "Asia", "Asia", "Asia", "Asia", "Asia", "Asia", "Asia", "Asia", "Asia"…
## $ month_start <int> 2, 3, 8, 9, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 10, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5…
## $ year_start <int> 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 1998, 19…
## $ month_
