This dataset contains shapefiles for Guinea, Liberia, and Sierra Leone from the OpenStreetMap (OSM) project. Each country has its individual file. The dataset counts with contributions of hundreds of users. This dataset is updated daily.
The original dataset can be downloaded from the OSM West Africa Ebola response wiki.
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
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/
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.
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.
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.
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.
Total number of existing beds in EVD treatment units. Extracted from WHO: Ebola Response Roadmap Situation Reports, the latest of which was on 31 December 2014.
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.
Overview of the total outreach from the 18 national associations in West and Central Africa. Detailed data set on the services provided at the national level will be available soon
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.
Cholera evolution in Sierra Leone in 2012
The dataset represents the cholera weekly evolution by chiefdom in 2012 and was compiled from WHO data. OCHA supported WHO Sierra Leone in creating and updating cholera map in weekly basis.
This dataset contains a 2012 national water point mapping in Sierra Leone.
It also contains 2016 sanitation and hygiene data.
This data was collected with the use of Akvo Flow https://akvo.org/products/akvoflow/#overview
This map shows landslides mapped from satellite imagery following the Regent event on 15 August 2017. The main landslide outline in Regent has been updated from the product released by UNITAR-UNOSAT (published 16 August, version 1.0) using the updated UNITAR-UNOSAT georectification of the satellite image on 17th August.
The main Regent landslide event is 6 km long, including source area and run-out to the sea. It is interpreted as a debris slide in its upper reaches, transitioning to a debris flow and then a sediment-laden flood. The two smaller landslides are interpreted as debris flow events. The analysis has not yet been verified in the field.
This map illustrates satellite-detected landslides and mudflow that affected Regent area south eastern Freetown using a GeoEye-1 acquired the 15 August 2017 compared with a pre-crisis image acquired the 03 March 2017. UNOSAT extracted areas affected by the landslide and subsequent mudflow and could identify 349 damaged structure and 1.3 km of damaged roads within the analysed area. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
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).