Chiefdoms, Tribes and Locations of South Kivu Province, DRC

Territoires et villes principales des provinces du Sud et du Nord-Kivu, en République démocratique du Congo, extraits de la base de données OpenStreetMap. Territories and main cities of South and North Kivu provinces, in the Democratic Republic of the Congo, extracted from the OpenStreetMap database.

This dataset is showing the health boundaries data of the Democratic Republic of Congo.

Localités Les localités de la RDC sont issues au de la comparaison de deux bases pour lesquelles les doublons ont été supprimés. Des relevés GPS ainsi que des numérisation sur images satellites ont été réalisés par différentes acteurs présent en RDC et viennent compléter le fichier initial. Des ajouts se font régulièrement (2010). Sourced from Référentiel Géographique Commun

République Démocratiques du Congo, Limites des provinces (admin level 2)

The GDS presence layer is a geographic representation of the UNHCR operational presence in the countries where UNHCR is operating. It shows the diverse types of presence including temporary presence such as Field Units. Each office is either Active or Inactive depending on the operational status reported by the field. The status of the GIS layer represents the current operational presence in the world.

On 1 August 2018, the Ministry of Health of the Democratic Republic of the Congo declared a new outbreak of Ebola virus disease in North Kivu Province. The Ministry of Health, WHO and partners are responding to this event, and working to establish the full extent of this outbreak. Numbers may fluctuate on a daily basis due to many factors, including continuing monitoring, investigation and reclassification of cases. Alert and suspected cases (not reported here), are systematically investigated to confirm or exclude Ebola virus disease before inclusion in the case counts or discarded as non-cases. WHO GIS team is supporting the National Health Information System Division (DSNIS) to update the health related geographic data (health zones, areas and health facility structures) and other spatial information such as road, building, school together with the OpenStreetMap community and various partners. To carry out this work, the methodology was decided with local cartographers and together we were able to improve the data locally.