Tanzania travel time to nearest dispensary

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



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.

    19/09/19 → …

    Project: Research Collaboration with external organisation

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