Datasets > Democratic Republic of the Congo > 2015-2019

GRID3 DRC Haut-Lomami and Tanganyika Settlements Version 01

Humanitarian Data Exchange · 2019 Full Details

Full Details

Title
GRID3 DRC Haut-Lomami and Tanganyika Settlements Version 01
Description
The GRID3 DRC Haut-Lomami and Tanganyika Settlements, Version 01 dataset consists of settlement points with names and health catchment area attributes in the provinces of Haut-Lomami and Tanganyika in the Democratic Republic of the Congo (DRC). To conduct this work, the Center for International Earth Science Information Network (CIESIN) at Columbia University engaged with the mandated authorities in the DRC’s Ministry of Health who support data collection and development for vaccination planning. Local healthcare workers were also directly involved in the mapping of the health catchment area boundaries at participatory events coordinated with in-country provincial coordinators and mappers, and in field data collectionfrom July to September 2019. This data was then updated following the reception of data collected in the field between 2019 and 2021 by the DRC National Malaria Elimination Program (PNLP). This work is part of the GRID3 Mapping for Health in the DRC project. Supported by Gavi through its INFUSE initiative, GRID3 Mapping for Health is a Ministry of Health initiative, delivered in partnership with Flowminder and CIESIN, and in collaboration with WorldPop at the University of Southampton, Kinshasa School of Public Health, UNFPA, UNOPS, and Novel-T. GRID3 Mapping for Health is a continuation of previous work conducted and/or supported in the DRC by the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme.
Temporal Coverage
2019
License
http://www.opendefinition.org/licenses/cc-by
Access Rights
Public
Format
Files
Language
English
Date Added
December 19, 2023

Location

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Links

Cite and Reference

  • Citation
    [Creator not found] (n.d.). GRID3 DRC Haut-Lomami and Tanganyika Settlements Version 01. . https://data.humdata.org/dataset/5066598f-8db5-43f6-af4b-71d739bff224 (dataset)
  • BTAA Geoportal Link

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