Updated November 13, 2017
| Dataset date: Dec 31, 2015
EbolaGeonode was a partnership platform for sharing geospatial data, analysis and maps related to the Ebola emergency response. The platform was intended to minimize the time that GIS analysts spend locating up-to-date data. Users were able to make maps on the fly, view metadata, and access the reports behind GIS layers. Curators worked to ensure that the layers were recent, clean, useful, and legally and technically open.
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).
Global supply routes for Transportation of Food and Non Food Items - Roads, Railways, Waterway, Airways.
This layer is built by linking origin/destination locations using the most direct route on main roads. In reality, the supply routes can divert from the ones displayed here depending on many local factors. The routes shown in this dataset are only indicative and have to be used as such.
Updated March 28, 2016
| Dataset date: Aug 29, 2014-Mar 23, 2016
Total number of probable, confirmed and suspected Ebola cases and deaths in Guinea, Liberia, Sierra Leone, Nigeria, Senegal, Mali, Spain USA, UK and Italy according to Ebola Data and Statistics.
The resources contain two references to Liberia: Liberia and Liberia 2. Liberia contain reported before May 9, 2015. Liberia 2 refers to cases reported after May 9, 2015.
The resources contain two references to Guinea: Guinea and Guinea 2. Guinea contain reported before May 9, 2015. Guinea 2 refers to cases reported after March 23, 2016.
This spreadsheet is the best understanding at this point in time of the numbers of Ebola care facilities in Sierra Leone, their details and types. This data has been compiled from a number of sources, namely the UNMEER Information Management Officers, the District Ebola Response Centres, donors and partners. This list provides and update on facility status as partners and agencies working towards scaling down and closing of Ebola care facilities.
There may be some errors and omissions for which systems and processes are being stood up within the NERC to address.
Facilities are categorised with the following types: Ebola Treatment Units (ETU) Ebola Holding Centres (EHC) Community Care Centres (CCC)
For updates or questions please contact email@example.com
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.