Data Datasets [15] | Archived Datasets[0] [?]
Refine your search: Clear all
Featured:
Data series [?]:
More
Locations:
More
Formats:
Organisations:
Tags:
More
Licenses:
  • DPS Nord-Kivu (RDC)
    OpenStreetMap RDC
    1900+ Downloads
    Time Period of the Dataset [?]: October 18, 2021-December 05, 2021 ... More
    Modified [?]: 7 January 2022
    Dataset Added on HDX [?]: 19 October 2021
    Less
    This dataset updates: Every three months
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    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.
  • "Territoires sanitaires" (RDC) / "Territory Health" Divisions (DRC)
    OpenStreetMap RDC
    700+ Downloads
    Time Period of the Dataset [?]: November 09, 2021-December 12, 2021 ... More
    Modified [?]: 12 December 2021
    Dataset Added on HDX [?]: 30 June 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    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.
  • Divisions provinciales de la santé (RDC) / Provincial Health Divisions (DRC)
    OpenStreetMap RDC
    1000+ Downloads
    Time Period of the Dataset [?]: November 09, 2021-December 12, 2021 ... More
    Modified [?]: 12 December 2021
    Dataset Added on HDX [?]: 30 June 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    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.
  • DPS Ituri (RDC)
    OpenStreetMap RDC
    900+ Downloads
    Time Period of the Dataset [?]: December 01, 2021-December 08, 2021 ... More
    Modified [?]: 9 December 2021
    Dataset Added on HDX [?]: 8 December 2021
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap, pour la province de l'Ituri. Ce dossier reprend actuellement des données publiées dans un contexte de formation et révision.
  • Zone de santé Butembo (Nord-Kivu, RDC) / Butembo health zone (DRC)
    OpenStreetMap RDC
    600+ Downloads
    Time Period of the Dataset [?]: October 04, 2021-December 01, 2021 ... More
    Modified [?]: 2 December 2021
    Dataset Added on HDX [?]: 5 October 2021
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap et reprenant le schéma attributaire d'OpenStreetMap Ce dossier reprend actuellement des données en cours de vérification, elles sont donc susceptibles de connaître des modifications fréquentes.
  • Zone de santé Katwa (Nord-Kivu, RDC) / Katwa health zone (DRC)
    OpenStreetMap RDC
    600+ Downloads
    Time Period of the Dataset [?]: November 17, 2021-December 01, 2021 ... More
    Modified [?]: 2 December 2021
    Dataset Added on HDX [?]: 18 November 2021
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    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. Ce dossier reprend actuellement des données en cours de vérification, elles sont donc susceptibles de connaître des modifications fréquentes.
  • Zone de santé Kalunguta (Nord-Kivu, RDC) / Kalunguta health zone (DRC)
    OpenStreetMap RDC
    400+ Downloads
    Time Period of the Dataset [?]: September 20, 2021-December 01, 2021 ... More
    Modified [?]: 2 December 2021
    Dataset Added on HDX [?]: 21 September 2021
    Less
    This dataset updates: Every six months
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    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. Ce dossier reprend actuellement des données en cours de vérification, elles sont donc susceptibles de connaître des modifications fréquentes.
  • Zone de santé Beni (Nord-Kivu, RDC) / Beni health zone (DRC)
    OpenStreetMap RDC
    700+ Downloads
    Time Period of the Dataset [?]: October 23, 2021-November 02, 2021 ... More
    Modified [?]: 3 November 2021
    Dataset Added on HDX [?]: 9 October 2021
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    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. Ce dossier reprend actuellement des données 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.
  • Afghanistan: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    90+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-November 30, 2020 ... More
    Modified [?]: 4 July 2021
    Dataset Added on HDX [?]: 4 August 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • Structures de santé de Goma et Nyiragongo (RDC) / Goma and Nyiragongo health...
    OpenStreetMap RDC
    200+ Downloads
    Time Period of the Dataset [?]: May 27, 2021-May 25, 2025 ... More
    Modified [?]: 28 May 2021
    Dataset Added on HDX [?]: 28 May 2021
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Formations sanitaires (FoSa) de la ville de Goma et du territoire de Nyiragongo répertoriées dans OpenStreetMap au 27 mai 2021. Health structures in Goma city and Nyiragongo territory , in the Democratic Republic of the Congo, extracted from the OpenStreetMap database, as of May 27th, 2021.
  • Sudan: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    80+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-November 30, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 5 August 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • Iraq: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    40+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-November 30, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 1 December 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • Somalia: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    80+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-September 27, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 5 August 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • Democratic Republic of the Congo: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    50+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-November 30, 2020 ... More
    Modified [?]: 1 February 2021
    Dataset Added on HDX [?]: 5 August 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • South Sudan: Projected COVID-19 Sub-national Cases
    Johns Hopkins Applied Physics Lab
    60+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-September 27, 2020 ... More
    Modified [?]: 1 January 2021
    Dataset Added on HDX [?]: 5 August 2020
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: Johns Hopkins Applied Physics Lab - Projected COVID-19 subnational cases
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.