Exploring the high-resolution mapping of gender-disaggregated development indicators.

ABSTRACT: Improved understanding of geographical variation and inequity in health status, wealth and access to resources within countries is increasingly being recognized as central to meeting development goals. Development and health indicators assessed at national or subnational scale can often conceal important inequities, with the rural poor often least well represented. The ability to target limited resources is fundamental, especially in an international context where funding for health and development comes under pressure. This has recently prompted the exploration of the potential of spatial interpolation methods based on geolocated clusters from national household survey data for the high-resolution mapping of features such as population age structures, vaccination coverage and access to sa

SUBMITTER: Bosco C 

PROVIDER: S-EPMC5414904 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature