Ontology highlight
ABSTRACT:
SUBMITTER: Carrasco-Escobar G
PROVIDER: S-EPMC7524891 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Carrasco-Escobar Gabriel G Manrique Edgar E Tello-Lizarraga Kelly K Miranda J Jaime JJ
Frontiers in public health 20200916
To better estimate the travel time to the most proximate health care facility (HCF) and determine differences across heterogeneous land coverage types, this study explored the use of a novel cloud-based geospatial modeling approach. Geospatial data of 145,134 cities and villages and 8,067 HCF were gathered with land coverage types, roads and river networks, and digital elevation data to produce high-resolution (30 m) estimates of travel time to HCFs across Peru. This study estimated important va ...[more]