Projects per year
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 |
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Publisher | Edinburgh DataShare |
Temporal coverage | 2016 - 2020 |
Geographical coverage | Tanzania |
Projects
- 1 Active
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DCC: Data for children collaborative
Hutchison, A. (Principal Investigator)
19/09/19 → …
Project: Research Collaboration with external organisation