Data from: Projected population proximity indices (30km) for 2005, 2030 & 2050

This data package includes nine population proximity index layers for
2005, 2030 and 2050, for rural, urban and total populations. The layers
are distributed as 1km GeoTIFFs and GeoJPGss at 1km. The aim of these
layers is to describe the population which may be likely to visit a
specific locality where access is determined by Euclidean distance. By
using the layers alongside other geographic datasets relating to disease
risk it may help identify where people may come into contact with a
disease. Human population layers are often used in models to identify risk
areas where humans and viruses interact, however most pathogens are not
restricted to areas of human habitation: many are found in lesser
populated areas such as forests. This dataset will help identify less
populated areas that may well still receive high visitor numbers. The
layers have been projected to 2030 and 2050 to enable projections of
human/disease interfaces in the medium-term which are required to inform
policy makers at country and continental level. Urban and rural
populations have been separated into individual layers as in some cases it
is useful to distinguish between the behaviour and associated risks
attributed to the different population segments. There may be a different
risk of contacting diseases in rural habitats for rural workers than for
than urban visitors.