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  • Food Insecurity Mapping - West Africa (April - June 2014)
    HDX
    Updated March 21, 2016 | Dataset date: Apr 1, 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)
  • Food Insecurity Mapping - West Africa (July - September 2014)
    HDX
    Updated March 21, 2016 | Dataset date: Jul 1, 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)
  • Food Insecurity Mapping - West Africa (October - December 2014)
    HDX
    10+ Downloads
    Updated March 21, 2016 | Dataset date: Oct 1, 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)
  • Geodata of Mentao Refugee camp in Soum District, Sahel Province, Burkina Faso
    UN Operational Satellite Applications Programme (UNOSAT)
    10+ Downloads
    Updated February 18, 2016 | Dataset date: Jan 15, 2016
    This dataset updates: Never
    This map illustrates satellite-detected shelters and other buildings at the Mentao refugee camp in Soum District, Sahel Province, Burkina Faso as seen by the Pleiades satellite on 14 October 2015. The camp lies approximatively 50 km south of the Mali border and covers a total of 327 hectares.UNOSAT analyzed a total of 2,417 camp structures, including 2,117 tent shelters and 201 improvised shelters as well as 99 administrative structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Geodata of Goudoubou Refugee Camp, Seno Province, Burkina Faso
    UN Operational Satellite Applications Programme (UNOSAT)
    20+ Downloads
    Updated February 18, 2016 | Dataset date: Jan 14, 2016
    This dataset updates: Never
    This map illustrates satellite detected shelters at the Goudoubou Refugee Camp in Seno Province, Burkina Faso, which hosts people from neighbouring Mali. As seen by the GeoEye-1 satellite on 30 October 2015, the camp contains a total of 2,669 structures within its 235.5 hectares. Of these structures, 476 are likely camp infrastructure buildings, 385 are improvised shelter structures, and 1,808 are identified as tent shelters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • GAR15 Global Exposure Dataset for Mali
    United Nations Office for Disaster Risk Reduction (UNISDR)
    50+ Downloads
    Updated February 1, 2016 | Dataset date: Dec 31, 2015
    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.
  • Disaster Loss Data for Mali
    United Nations Office for Disaster Risk Reduction (UNISDR)
    300+ Downloads
    Updated January 6, 2016 | Dataset date: Dec 31, 2013
    Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event
  • Geodata of Mbera Refugee Camp, Bassikounou, South-Eastern Mauritania
    UN Operational Satellite Applications Programme (UNOSAT)
    20+ Downloads
    Updated December 21, 2015 | Dataset date: Dec 10, 2015
    This map illustrates satellite-detected shelters and other buildings at the Mbera refugee camp in South Eastern Mauritania. As of 14 August 2015 a total of 11,327 shelters were detected, consisting of 497 administrative buildings, 2,968 improvised shelters and 7,862 tent shelters. The camp covers a total of approximately 415.01 hectares. A variety of clinics, nutrition centers, schools, and other important features are also identified on the map, and based on information from UNHCR. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Prevalence of Severe Acute Malnutrition of Sahel
    OCHA ROWCA
    200+ Downloads
    Updated November 25, 2015 | Dataset date: Sep 14, 2015
    This dataset updates: Every three months
    The dataset represents the latest Severe Acute Malnutrition Prevalence available for the Sahel nine countries (Burkina Faso, Cameroon, Chad, the Gambia, Mali, Mauritania, Niger, Nigeria, Senegal).
  • Global Acute Malnutrition Prevalence of Sahel countries
    OCHA ROWCA
    100+ Downloads
    Updated November 25, 2015 | Dataset date: Nov 6, 2015
    This dataset updates: Every year
    This dataset is a summary of the latest prevalences of the Global Acute Malnutrition of Sahel by Admin1.
  • Food Insecurity Mapping - West Africa (July - September 2015)
    HDX
    10+ Downloads
    Updated November 25, 2015 | Dataset date: Sep 30, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on September 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 July-September 2015 westafrica201304_ML2 Most likely food security outcome for October-December 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)
  • Food Insecurity Mapping - West Africa (April - June 2015)
    HDX
    10+ Downloads
    Updated November 25, 2015 | Dataset date: Jun 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)
  • Food Insecurity Mapping - West Africa (January - March 2015)
    HDX
    10+ Downloads
    Updated November 25, 2015 | Dataset date: Mar 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)
  • 2014 Nutrition SMART Survey results and 2015 trends
    OCHA Mali
    500+ Downloads
    Updated November 24, 2015 | Dataset date: Feb 1, 2015
    This dataset updates: Every three months
    The data set contains the results of the 2014 Nutrition SMART Survey and the 2015 projections of the caseload for Mali
  • Mali: 2014/2015 Food Security IPC analysis
    OCHA Mali
    100+ Downloads
    Updated November 24, 2015 | Dataset date: Mar 1, 2005-Aug 31, 2015
    This dataset updates: Every three months
    The data represents the IPC (Integrated Food Security Phase Classification) analysis as of March 2015 for Mali and its related projection for June - August 2015.
  • Mali Health Districts
    OCHA Mali
    100+ Downloads
    Updated November 24, 2015 | Dataset date: Apr 1, 2014
    This dataset updates: Every three months
    The data was updated in April 2014 and is a polygon feature of health districts in Mali
  • MALI: STATISTIQUES SCOLAIRES DE L'ENSEIGNEMENT FONDAMENTAL
    OCHA Mali
    500+ Downloads
    Updated November 24, 2015
    This dataset updates: Every year
    The data shows the statistics concerning fundamental schools in Mali
  • Number of ebola health-care worker deaths
    HDX
    600+ Downloads
    Updated November 24, 2015 | Dataset date: Sep 7, 2014-Nov 4, 2015
    This dataset updates: Never
    Cumulative number of health-care workers that died from Ebola infection. Extracted from WHO: Ebola Response Roadmap Situation Reports, the latest of which was on 4 November 2015.
  • Number of health-care workers infected with Ebola
    HDX
    800+ Downloads
    Updated November 24, 2015 | Dataset date: Sep 7, 2014-Nov 4, 2015
    This dataset updates: Never
    Cumulative number of health-care workers infected with Ebola. Extracted from WHO: Ebola Response Roadmap Situation Reports, the last of which was on 4 November 2015.
  • Health facilities in Guinea, Liberia, Mali and Sierra Leone
    Standby Task Force
    300+ Downloads
    Updated November 24, 2015 | Dataset date: Nov 19, 2014
    This dataset updates: Every year
    This dataset contains a link to a Google Spreadsheet containing lists of the health facilities (including the facility name, status, facility type, location etc) in Guinea, Liberia, Mali and Sierra Leone. The data was compiled by the Standby Task Force from various sources.
  • Mobility patterns and population densities for West Africa
    Flowminder
    200+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 2013-Apr 1, 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/
  • Sub-national time series data on Ebola cases and deaths in Guinea, Liberia, S...
    OCHA ROWCA
    700+ Downloads
    Updated November 24, 2015 | Dataset date: Apr 2, 2015
    This dataset updates: Every six months
    Ebola outbreak time series data at national and sub national levels since March 2014. Data compiled manually from a number of published reports. Updated by OCHA ROWCA every working day.
  • Mali Road Network
    OCHA Mali
    200+ Downloads
    Updated November 24, 2015 | Dataset date: Sep 11, 2014
    This dataset updates: Every three months
    This shapefile contains the road network for Mali as well as the distance in kilometres between key settlements