Tanzania travel time to nearest dispensary

  • Gary Watmough (Creator)
  • Magnus Hagdorn (Creator)
  • Jodie Brumhead (Creator)

Dataset

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 dispensary 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) dispensaries are found at the village level and provide Preventative and curative outpatient services.

Data Citation

Watmough, Gary; Hagdorn, Magnus; Brumhead, Jodie. (2021). Tanzania travel time to nearest dispensary, 2016-2020 [dataset]. Data for Children Collaborative with UNICEF and University of Edinburgh, School of Geosciences. https://doi.org/10.7488/ds/3091.
Date made available9 Jul 2021
PublisherEdinburgh DataShare
Temporal coverage2016 - 2020
Geographical coverageTanzania
  • DCC: Data for children collaborative

    Hutchison, A. (Principal Investigator)

    19/09/19 → …

    Project: Research Collaboration with external organisation

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