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  • 2100+ Downloads
    Updated October 18, 2019 | Dataset date: Aug 4, 2018-Oct 17, 2019
    This dataset updates: Every day
    This Ebola epidemic dataset contains figures on the Ebola cases, deaths and cures in the North Kivu Ebola outbreak of August 2018 in the Democratic Republic of the Congo (DRC).
  • 1100+ Downloads
    Updated October 15, 2019 | Dataset date: Jan 1, 2017-Mar 31, 2019
    This dataset updates: Every year
    The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This is our sixth report documenting attacks on health care in conflict countries around the world. This page is managed by SHCC member Insecurity Insight.
  • 400+ Downloads
    Updated October 11, 2019 | Dataset date: May 1, 2018
    This dataset updates: Every year
    The zip file contains Health region (adm1) and districts boundaries (adm2) for DRC in shapefile and GeoJSON format. These datasets can be found in the WHO Ebola open data platform: https://ebolaoutbreak2018-who.opendata.arcgis.com
  • Updated October 11, 2019 | Dataset date: Jan 22, 2018-Dec 14, 2018
    This data is by request only
    In 2016, REACH with the support of OFDA conducted the first area based assessment (ABA) in Ukraine focusing on access to basic services for the 100 government controlled cities and villages along the line of contact seperating the government controlled (GCA) and non government controlled areas (NGCA) of the Donetsk and Luhansk oblasts. The assessment found that access to basic services in conflict-affected areas the assessed communities had been severely disrupted due to the disconnection between peripheries of large cities Donbas and the city centers now in non-governmental controlled areas (NGCA). As a result of the seperation between GCA and NGCA, settlements along the line of contact in the GCA have reorganised themselves inward towards government controlled urban centers. The networks of communities that access basic services unit geographies in government controlled areas have adjusted to the reality of a disconnection with non-government controlled cities by accessing all services and markets in reorganizing into new basic service units surrounding cities controlled by the Ukrainian Government. Based on findings from the area based assessment (ABA), this reorganization of basic services units in Donetsk and Luhansk Oblastsbas increases pressure on administrative services, housing, education and health services due to multiple potential factors including: i) the departure of qualified personnel ii) the arrival of conflict-displaced populations iii) and the relocation of of administrative centers. In order to support effective recovery and longer-term development planning it is critical to understand how the conflict has brought new challenges to service delivery in GCA urban centers close to the line of contact, particularly with regards to the new population flows following the effective closure of large urbanized areas in the NGCA. General Objective To understand the gaps and in the provision of basic services (by service providers) and the barriers to accessing basic services (by households) in raions that have been been separated by the contact line in Donetsk and Luhansk oblasts.
  • This dataset contains the number of casualties (death, injured, refugees) caused by the natural disaster in Indonesia during 1815-2018. The data also include the number of infrastructures damaged (house, health, religion, and education facilities). The data is available at district level (Admin 2) and downloadable in MS. Excel (XLS) format: http://bnpb.cloud/dibi/tabel1a
  • Updated October 9, 2019 | Dataset date: Jun 1, 2019-Aug 31, 2019
    This data is by request only
    Primary data will be collected by means of a household-level survey designed with the participation of the humanitarian clusters in Somalia. Cluster leads are asked to outline information gaps and the type of data required to inform their strategic plans. Key indicators are developed by REACH with the substantive input of participating partners, and subsequently validated by the clusters. REACH will draft the household survey tool through an iterative consultation process with cluster partners and OCHA and is aligned, as much as possible, with the Joint Inter-Sectoral Analysis Framework (JIAF) which will serve as a common and structured method for assessing the severity of needs across different clusters. The assessment will use stratified cluster sampling at the district level using settlements as the clusters and households as the unit of measurement. For some districts, 2-stage stratified random sampling will be used instead of stratified cluster sampling for large urban centres, if it proves to be more efficient and logistically feasible for data collection. The sample will be stratified by population group, disaggregated by non-displaced communities, and IDP settlements; the sample will be further stratified by district to ensure coverage and comparison across the entire country (with the exception of inaccessible areas). In the case of cluster sampling, the minimum cluster size will be set to 6 households. The sample size will be adjusted for the design effect and will enable generalisation of the results to each of the two population strata in each district, with a 90% confidence level and a 10% margin of error.
  • 900+ Downloads
    Updated October 8, 2019 | Dataset date: Jul 17, 2019
    This dataset updates: As needed
    Since 2018, Who and the Ministry of Health have been deployed for the Ebola response in North Kivu and Ituri provinces . WHO is supporting the National Health Information System Division (DSNIS) to update the healthcare pyramid (health zone, area and structure) and other spatial information such as road, building, school) on and with OpenStreetMap community. To carry out this work, the methodology was decided with local cartographers and together we were able to improve the data locally.
  • 1000+ Downloads
    Updated September 30, 2019 | Dataset date: Sep 1, 2018-Aug 31, 2019
    This dataset updates: Every month
    This page provides the data published in the Attacks on Health Care Monthly News Brief. For data supporting the Safeguarding Health in Conflict Coalition (SHCC), please see: https://data.humdata.org/dataset/shcchealthcare-dataset The first dataset '2019 Attacks on Health Care KKADD' covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities or ambulances were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members so far in 2019. The remaining datasets include threats and incidents of violence as well as protests and other events affecting health care between September and December 2018. For a breakdown on the number of health workers killed, kidnapped or arrested (KKA), see In Harms Way dataset. All data contains incidents identified in open sources. Categorized by country.
  • 100+ Downloads
    Updated September 26, 2019 | Dataset date: Jan 1, 2018
    This dataset updates: As needed
    All categories of hospitals in the West Bank and the Gaza Strip.
  • 400+ Downloads
    Updated September 24, 2019 | Dataset date: Jan 24, 2019
    This dataset updates: As needed
    This dataset is showing the health data of the Democratic Republic of Congo
  • Updated September 19, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2016
    This dataset updates: Every year
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
  • 10+ Downloads
    Updated September 19, 2019 | Dataset date: Jan 1, 1960-Dec 31, 2017
    This dataset updates: Every year
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
  • Updated September 11, 2019 | Dataset date: Oct 15, 2017
    This data is by request only
    Terre des hommes (Tdh) is leading a mHealth project in Burkina Faso, digitizing the Integrated Management of Chiildhood Illnesses (IMCI) protocol to improve the quality of care in 600 Primary Healthcare Centers (PHCs) in Burkina Faso. The data set is both a patient registry and a history of consultations for children under 5. All aggregated data is anonymous, and your access to the data set will be conditionned to obtaining an authorization for the Ministry of Health of Burkina Faso. More information here: http://ieda-project.org/
  • Updated September 11, 2019 | Dataset date: Oct 31, 2017
    This data is by request only
    This dataset contains the new Human Immunodeficiency Virus (HIV) infections cases by province (admin 1), 2015-2017. Up to October 2017, Indonesia had 33,660 new HIV infections. Higher HIV cases were found in Jawa Timur, DKI Jakarta, and Jawa Barat provinces. This data, derived from the Indonesian Information System on HIV/AIDS and IMS (SIHA) database published by the Ministry of Health every year. The data is available in PDF format: http://www.pusdatin.kemkes.go.id/resources/download/pusdatin/profil-kesehatan-indonesia/Data-dan-Informasi_Profil-Kesehatan-Indonesia-2017.pdf (Table 6.9, page 139)
  • Updated September 11, 2019 | Dataset date: Feb 11, 2019-Feb 21, 2019
    This data is by request only
    Estudio que se realizó desde 11 al 21 de febrero de 2019, en el que se hace referencia a las condiciones de la salud y la alimentación de los migrantes venezolanos que cruzan la frontera, por el puente internacional Simón Bolívar que une al estado Táchira (Venezuela) y al departamento Norte de Santander (Colombia)
  • Updated September 10, 2019 | Dataset date: Aug 1, 2013
    This data is by request only
    This report summarizes the findings of the 2010 Eritrea Population and Health Survey (EPHS) carried out by the National Statistics Office. Financial support for the survey was provided by the Norwegian Ministry of Foreign Affairs (through NORAD), UNICEF, UNFPA, UNDP, WHO and the Ministry of Health. Fafo AIS and Kenya Medical Research Institute provided technical assistance for the survey. The opinions expressed herein are those of the authors and do not necessarily reflect the views of the funders.
  • 1500+ Downloads
    Updated September 9, 2019 | Dataset date: Sep 9, 2019
    This dataset updates: Every year
    Zones de Santé Noms et Codes des Zones de santé publique Country, Equateur Province, and Bikoro District
  • 100+ Downloads
    Updated September 7, 2019 | Dataset date: Dec 12, 2014
    This dataset updates: Never
    The Ebola Treatment Units collected by UNMEER now with 3 word addresses so that partners can communicate the precise location of each unit quickly and easily.
  • 90+ Downloads
    Updated September 7, 2019 | Dataset date: Nov 3, 2014
    This dataset updates: Never
    We have provided the 3 word addresses of each health centre within the West African Region. what3words is a simple, real-time, location referencing system which solves many of the key logistical issues facing aid and humanitarian organisations, for whom street addresses, GPS co-ordinates, and other systems don't exist or are problematic. Using words means non-technical people can find any location more accurately and most importantly, communicate it more quickly, more easily and with less ambiguity than any other system. For more information, to get our API or batch encode your coordinates visit http://www.developer.what3words.com
  • Updated September 6, 2019 | Dataset date: Jan 1, 1950-Dec 31, 2050
    This dataset updates: Every year
    Contains data from World Health Organization's data portal covering various indicators (one per resource).
  • 5700+ Downloads
    Updated September 6, 2019 | Dataset date: May 30, 2019
    This dataset updates: Every six months
    In response to the need for accurate information on internally displaced persons (IDPs) in Nigeria, the International Organization for Migration (IOM) began implementing the Displacement Tracking Matrix (DTM) project in July 2014. The project is supporting the Government of Nigeria and other humanitarian response partners to conduct IDPs assessments in a systematic way as well as to establish a profile of the IDP population.
  • 300+ Downloads
    Updated August 18, 2019
    This dataset updates: Every year
    This data is made available from the WHO - Global Health Observatory. Data on new probable and confirmed cases by epi week and district. There is a file for each country Liberia, Sierra Leone, and Guinea. All the data from the countries can be found at: http://apps.who.int/gho/data/node.ebola-sitrep.ebola-country?lang=en There are 2 values for each district. One is from the Ministry of Health SitRep. The other is from the patient database maintained in country. There is latency in getting the patient database is updated therefore the numbers are lower in the latest weeks.
  • Updated August 15, 2019 | Dataset date: Jan 1, 1992-Dec 31, 2013
    This dataset updates: Live
    The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
  • 80+ Downloads
    Updated August 15, 2019 | Dataset date: Jan 1, 1991-Dec 31, 2013
    This dataset updates: Live
    The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
  • Updated August 15, 2019 | Dataset date: Jan 1, 1998-Dec 31, 2016
    This dataset updates: Live
    The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.