SubSaharanAfrica_Pf_incidence: _Plasmodium falciparum_ predicted incidence

In artaylor85/pixelate: Pixelate spatial predictions as per their average uncertainty

Plasmodium falciparum predicted incidence

Description

P. falciparum predicted all-age incidence (clinical cases per 1,000 population per annum) in 2017 for sub-Saharan Africa at 2.5 arcminute (approximately 5km) resolution [1].

Usage

SubSaharanAfrica_Pf_incidence

Format

A data frame with 1794240 observations and four variables:

x

Longitude in decimal degrees

y

Latitude in decimal degrees

z

Median predicted incidence at location x y

u

Width of the 95% predicted incidence credible interval at location x y

Details

The median and credible interval were computed using samples from a posterior predictive simulation that approximated the joint posterior predictive distribution thereby accounting for spatial covariance [1,2].

Source

These data are available at the Malaria Atlas Project (MAP) website https://map.ox.ac.uk/. Specifically, they were obtained by selecting 'ANNUAL MEAN OF PF INCIDENCE' at https://map.ox.ac.uk/malaria-burden-data-download/.

References

[1]

Weiss DJ, Lucas TCD, Nguyen M, et al. Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000–17: a spatial and temporal modelling study. Lancet 2019.

[2]

Gething PW, Patil AP, and Hay SI. Quantifying aggregated uncertainty in Plasmodium falciparum malaria prevalence and populations at risk via efficient space-time geostatistical joint simulation. PLoS Computational Biology 2010.

Examples

str(SubSaharanAfrica_Pf_incidence)
head(SubSaharanAfrica_Pf_incidence)

artaylor85/pixelate documentation built on July 12, 2022, 7:39 p.m.