Abstract
Travel time surface was estimated using the cost allocation (friction surfaces) which used three primary input datasets on land surface characteristics that help or hinder travel speeds: land cover, roads and topography. This Geotiff is a 20-m spatial resolution surface where each pixel has a value which is the time in seconds to travel to the nearest health centre documented in the paper by Maina et al. (2020) doi: 10.1038/s41597-019-0142. According to the United Republic of Tanzania Ministry of Health and Social Welfare Health sector strategic plan (http://www.tzdpg.or.tz/fileadmin/documents/dpg_internal/dpg_working_groups_clusters/cluster_2/health/Key_Sector_Documents/Induction_Pack/Final_HSSP_IV_Vs1.0_260815.pdf) health centres are found at theward level they can admit patients and sometimes provide surgical services.
Data Citation
Watmough, Gary; Hagdorn, Magnus; Brumhead, Jodie. (2021). Tanzania travel time to nearest health centre, 2016-2020 [dataset]. Data for Children Collaborative with UNICEF and University of Edinburgh, School of Geosciences. https://doi.org/10.7488/ds/3092.
| Date made available | 9 Jul 2021 |
|---|---|
| Publisher | Edinburgh DataShare |
| Temporal coverage | 2016 - 2020 |
| Geographical coverage | Tanzania |