Guinea

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  • 100+ Downloads
    Updated 29 January 2016 | Dataset date: December 31, 2015-December 31, 2015
    This dataset updates: Never
    The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.
  • 900+ Downloads
    Updated 25 November 2015 | Dataset date: July 16, 2015-July 16, 2015
    This dataset updates: Never
    This "Health Center Database" is a compilation about a work of the WASH cluster Guinea in collaboration with all his partners. This data base has been built from the initial data base from the Health Ministry of Guinea. If you get any suggestions or updates to this "Health center database", please send an email to: washclusterguinea@gmail.com The compilation of the update will be send to this HDX regularly.
  • 900+ Downloads
    Updated 24 November 2015 | Dataset date: June 16, 2015-July 17, 2015
    This dataset updates: Never
    illustration of who does what and where in Guinea
  • 1400+ Downloads
    Updated 24 November 2015 | Dataset date: May 14, 2015-May 14, 2015
    This dataset updates: Never
    The Coping Strategy Index dataset measures the severity and frequency of the strategies that households use to cope with acute food insecurity. The strategies vary from borrowing food or money from neighbors to selling household assets. This data is available for 31 countries at a sub-national level.
  • 200+ Downloads
    Updated 24 November 2015 | Dataset date: July 01, 2015-July 01, 2015
    This dataset updates: Never
    Guinea Capitale of Région, District and Sub District
  • 500+ Downloads
    Updated 24 November 2015 | Dataset date: February 01, 2015-February 01, 2015
    This dataset updates: Never
    Ebola Community Care Centre
  • 1600+ Downloads
    Updated 24 November 2015 | Dataset date: December 01, 2014-September 01, 2015
    This dataset updates: Never
    Matrix 4W (Who What Where When) - WASH Cluster - Guinea
  • 10+ Downloads
    Updated 14 October 2015 | Dataset date: June 30, 2015-June 30, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on June 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: westafrica201304_ML1 Most likely food security outcome for April-June 2015 westafrica201304_ML2 Most likely food security outcome for July-September 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 30+ Downloads
    Updated 14 October 2015 | Dataset date: March 25, 2015-March 25, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for West Africa. It was last updated on March 25, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: westafrica201304_ML1 Most likely food security outcome for January-March 2015 westafrica201304_ML2 Most likely food security outcome for April-June 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 20+ Downloads
    Updated 14 October 2015 | Dataset date: October 01, 2014-October 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for West Africa. It was last updated on November 13, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: WA201304_ML1 Most likely food security outcome for October-December 2014 WA201304_ML2 Most likely food security outcome for January-March 2015 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Updated 14 October 2015 | Dataset date: July 01, 2014-July 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for West Africa. It was last updated on September 29, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: WA201304_ML1 Most likely food security outcome for July-September 2014 WA201304_ML2 Most likely food security outcome for October-December 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Updated 14 October 2015 | Dataset date: April 01, 2014-April 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on July 17, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: WA201304_ML1 Most likely food security outcome for April-June 2014 WA201304_ML2 Most likely food security outcome for July-September 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • Updated 14 October 2015 | Dataset date: January 01, 2014-January 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on January 19, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201401_ML1 Most likely food security outcome for January-March 2014 xx201401_ML2 Most likely food security outcome for April-June 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • Updated 14 October 2015 | Dataset date: July 01, 2013-July 01, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on July 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201304_ML1 Most likely food security outcome for July-September 2013 xx201304_ML2 Most likely food security outcome for October-December 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Updated 14 October 2015 | Dataset date: April 01, 2013-April 01, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for West Africa. It was last updated on June 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201304_ML1 Most likely food security outcome for April-June 2013 xx201304_ML2 Most likely food security outcome for July-September 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 30+ Downloads
    Updated 14 October 2015 | Dataset date: January 01, 2013-January 01, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for West Africa. It was last updated on January 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201304_ML1 Most likely food security outcome for January-March 2013 xx201304_ML2 Most likely food security outcome for April-June 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 20+ Downloads
    Updated 30 September 2015 | Dataset date: October 05, 2015-October 05, 2015
    This dataset updates: Never
    (English description follows.) Rapports sur les activités de formation des travailleurs de la santé de première ligne dans les établissements sanitaires en Guinée, rapportés par les partenaires de la cluster «prévention des infections» (PCI). Voir aussi la base de données [Guinea healthcare master data] (https://data.hdx.rwlabs.org/dataset/guinea-healthcare-master-data), qui contient les données de référence de base utilisées ici. Voir aussi les liens vers des tableaux de bord, le modèle de tableurs, et le mode d'emploi dans la galerie. (Voir la description française ci-dessus.) Reports on safety training activities for front-line health workers at facilities in Guinea, submitted by the implementing organisations within the Infection Prevention and Control (IPC) cluster. See also the Guinea healthcare master data dataset, which contains the base reference data used here. See also the links to dashboards, the reporting template, and usage instructions in the gallery.
  • 80+ Downloads
    Updated 3 September 2015 | Dataset date: July 04, 2015-July 04, 2015
    This dataset updates: Never
    World-readable Google Sheet with geographical master data for Guinea, including ADM1/2/3 p-codes and links to GeoJSON shape files. HXL tagged. Also includes list of known Guinea health facilities, a list of IPC partner organisations, and code lists for sector (public/private) and infection-control training type. Used by the Guinea health facility training activities dataset.
  • 300+ Downloads
    Updated 28 August 2015 | Dataset date: January 01, 2013-April 01, 2014
    This dataset updates: Never
    Here we provide version 1 Flowminder (www.flowminder.org) human mobility models for West Africa, together with WorldPop population density data for the region, to support ongoing efforts to control the ebola outbreak. Before downloading any data, please read the documention carefully as it provides details on the datasets and models provided through the links below. The mobility data refer to estimated patterns before the Ebola outbreak and should be interpreted with caution for Ebola affected countries as mobility patters are known to have changed. Additional discussion by the authors around the use of mobile operator data for epidemilogical research see: http://currents.plos.org/outbreaks/article/containing-the-ebola-outbreak-the-potential-and-challenge-of-mobile-network-data/
  • 60+ Downloads
    Updated 27 October 2014 | Dataset date: February 08, 2015-February 08, 2015
    This dataset updates: Never
    Movement restrictions in the Ebola affected Countries of Sierra Leone, Guinea and Liberia