Updated
29 July 2022
| Dataset date: September 01, 2012-September 01, 2012
This dataset updates: Never
The dataset is based on the assessments and Health Resources Availability and Mapping (HeRAM) carried out by World Health Organization (WHO) in collaboration with health cluster partners during different emergencies in Pakistan. Please note that it is not necessary that the assessment covered all the health facilities in a particular district. These have now been provided with a 3 word address so those on the ground can communicate the location of each facility.
Updated
29 May 2022
| Dataset date: August 31, 2015-August 31, 2015
This dataset updates: Never
This dataset depicts the Health Infrastructure of Nepal as points with 3 word addresses so that whoever is on ground can easily communicate the location of these centres.
Updated
29 May 2022
| Dataset date: November 03, 2014-November 03, 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
16 August 2018
| Dataset date: March 01, 2014-November 01, 2014
This dataset updates: Never
This data set contains information about to the Ebola treatment centres, Isolation centres and transit centres in regards to the West Africa Ebola outbreak. The dataset is updated daily.
Updated
25 July 2017
| Dataset date: September 19, 2014-March 25, 2015
This dataset updates: Never
In 2014, RIWI Corp. launched an online survey in Nigeria, Liberia, and Sierra Leone capturing public perceptions data from over 4,000 respondents on the status of Ebola in those countries. Respondents were asked a series of questions related to their confidence in government and aid agencies to manage the Ebola outbreak, as well as their own behavioral response to the infection. The data was collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).
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.
Updated
25 November 2015
| Dataset date: September 01, 2015-September 01, 2015
This dataset updates: Never
Desde el año 2009 ReDHumus.org inició la recopilación de información de diferentes fuentes, para documentar y promover un ejercicio de incidencia política que permitiera visibilizar la situación de crisis humanitaria de los grupos de familias extensas pertenecientes a los pueblos Embera Chamí y Katío. Estas familias tras su desplazamiento forzado de sus territorios de origen en Chocó y Risaralda se asentaron en Bogotá y otras ciudades de Colombia.
Los reportes incluyen afectaciones de otros grupos étnicos que atraviesan situaciones similares a los Embera.
En la movilización social de la cual participó esta iniciativa también hizo parte el Grupo de Investigación en Subjetividades de la Universidad Nacional de Colombia y la Universidad INCCA de Colombia, liderado por la profesora Rosa Suárez. tuvo como uno de los resultados que con el apoyo de la Comisión de seguimiento a la Sentencia T-025 de 2004 y CODHES, la Corte Constitucional Colombiana emitiera el Auto que ordenaba medidas de protección al pueblo Embera en función del incumplimiento del Auto 004 de 2009 en el cual se incluía a este pueblo como uno de los 33 en riesgo de extinción.
Updated
24 November 2015
| Dataset date: January 01, 2015-January 01, 2015
This dataset updates: Never
This dataset depicts the Health Infrastructure of Nepal as points. The source of the data Survey Department of Nepal (http://ngiip.gov.np/) and data sponsor is WHO (World Health Organization).
Updated
24 November 2015
| Dataset date: November 01, 2014-November 01, 2014
This dataset updates: Never
Data collected, collated and cleaned by Standby Task Force volunteers during September and October 2014. Collated from UNMIL, LISGIS, BRC, iLab Liberia and open, online websites.
Updated
24 November 2015
| Dataset date: November 21, 2014-November 21, 2014
This dataset updates: Never
Updated January 2015 with some cleaning of dataset. Health Facilities, with OCHA P-codes for level 1 and 2, Chiefdoms names, category of HF. The 2014 update info refers only to the pre-Ebola outbreak status. Please reflect this in the table to avoid misrepresentation as it is not actual (Oct 2014) status but from early in the year.
Updated
24 November 2015
| Dataset date: January 01, 1899-January 01, 1899
This dataset updates: Never
List of Health facilities in Côte d'Ivoire provided by the Ministry of Health, DIPE (Direction de l'Information, de la Planification et de l'Evaluation)
Updated
10 August 2015
| Dataset date: October 02, 2014-October 02, 2014
This dataset updates: Never
This report documents damage over the Gaza Strip following the July-August 2014 conflict. It is based on analysis of commercial satellite imagery and quantifies damage to overall building structures, health facilities, education facilities, agricultural fields and greenhouses. The study also compares damage from the 2014 conflict to that of the 2009 conflict. The analysis is supplemented by ground photos following UNOSAT deployment to Gaza in September 2014.
