Democratic Republic of the Congo health data

A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Democratic Republic of the Congo. The data was generated using the Child Poverty and Access to Services (CPAS) software (10.5281/zenodo.4638563) and was created as part of the CPAS project within the Data for Children Collaborative. The travel time is calculated assuming walking speeds on all roads, tracks, paths and land cover types. A full description is available here a video description of the data is also available here Projection system is: GCS_WGS_1984 EPSG 4326 for all

A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Democratic Republic of the Congo. The data was generated using the Child Poverty and Access to Services (CPAS) software (10.5281/zenodo.4638563) and was created as part of the CPAS project within the Data for Children Collaborative. The travel time is calculated assuming driving speeds of local public transport options on all-weather roads/asphalt roads and walking speeds on all other roads, tracks, paths and land cover types. A full description is available here a video description of the data is also available here Projection system is: GCS_WGS_1984 EPSG 4326 for all

République démocratique du Congo (RDC), Établissements de santé Points + Polygons : Interactive Online Map and Tabular spreadsheet (For multipolygons lat,lon=centroid) * First Column *Thematic* describes line Feature content : hospital, doctors, clinic, pharmacy, dentist,veterinary * Objets Institutions de la santé (hopitaux, médecins, cliniques, pharmacies, dentiste) * OSM amenity IN ('doctors','clinic','hospital','pharmacy','dentist') Columns :thematic, osmtype, lat (latitude), lon (longitude) osm_id (unique point id), amenity, name, name:fr, name:en, health_facility:type, beds, health_services:description, heliport, operator, operator:type, private, address, addr:housenumber, addr:street, addr:city, building, building:levels, building:material, building:condition, building:status, note, layer, other_tags * OpenStreetMap data extraction from *ETL2HDX Procedures

This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long

Health facilities: hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare`. Useful for service-access analysis, emergency response, and healthcare gap mapping. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, healthcare - Part of the country exports on HDX by HOT

Point locations of health facilities in Congo including hospitals, health centres, clinics, dispensaries and health posts. Each feature records the facility name, type and ownership. Use this layer to map healthcare coverage, identify service gaps, plan facility distribution, and support health sector analysis.

GPS points for health facilities in Aire de Santé Tamende, Zone de Santé Beni, North Kivu, DRC

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

Les 26 divisions provinciales de la santé (DPS) de la République démocratique du Congo, extraites de la base de données OpenStreetMap. The 26 provincial health divisions of the Democratic Republic of the Congo, extracted from the OpenStreetMap database.

Les limites "sanitaires" des 145 territoires et 19 villes de la République démocratique du Congo, extraites de la base de données OpenStreetMap. The "health" limits of the 145 territories and 19 cities of the Democratic Republic of the Congo, extracted from the OpenStreetMap database.

Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap et converties suivant le schéma attributaire du Référentiel Géographique Commun de la RDC dans la mesure du possible. Cette page inclut actuellement les limites des cellules d'animation communautaire et une sélection de points d'intérêt localisés dans l'aire de santé Butsili. Les données étant en cours de mise à jour, elles sont donc susceptibles de connaître des modifications fréquentes. Elles sont publiées en version provisoire avec l'accord de la zone de santé en raison de la résurgence de la maladie à virus Ebola dans la région.

Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap, pour la province du Nord-Kivu. Ce dossier reprend actuellement des données publiées dans un contexte de formation et révision.

Les 519 zones de santé (ZS) de la République démocratique du Congo, extraites de la base de données OpenStreetMap. The 519 health zones of the Democratic Republic of the Congo, extracted from the OpenStreetMap database.

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.