13 September 2018
| Dataset date: July 01, 2018-July 01, 2018
This dataset provides numbers of suspected cholera cases, deaths, case fatality rates (%) and attack rates (per 1,000) by Governorate in the Yemen cholera outbreak since 27 April 2017.
The data are manually extracted from the Yemen cholera outbreak epidemiology updates produced by WHO Yemen. The updates are posted on the Yemen Situation Reports page on the WHO Regional Office for the Eastern Mediterranean site. This dataset contains data from the daily and weekly updates up to the weekly report published on 7 July 2018.
12 September 2018
| Dataset date: February 29, 2016-February 29, 2016
List of active Informal Settlements hosting Syrian Refugees in Lebanon.
Data as of: 29 February 2016
Data Source: Inter-agency mapping platform IAMP
Mapping Partners: MEDAIR, PU-AMI, CISP, Solidarites International, REACH
An Informal Settlement is defined as a settlement that was established in an unplanned and unmanaged manner, which means they are generally unrecognized. There may or may not be an informal or formal agreement between landlords and residents of the settlement.
The 2015 Lebanon Shelter Sector Strategy formally defines an Informal Settlement as: “Unofficial group of temporary residential structures, often comprising of plastic-sheeting and timber structures and can be of any size from one to several hundred tents. Informal Settlements may have some informal community-led management.”
11 September 2018
| Dataset date: September 11, 2018-September 11, 2018
The current literature on energy access highlights energy deprivation on a regional or country basis, but frequently neglects those outside of national energy agendas such as refugees and displaced people. To fill this gap and to help inform future analysis, we used an end-use accounting model for energy consumption for cooking and lighting by displaced populations to create this dataset. The data includes three high-level scenarios for improving access to energy for cooking and lighting. There is a strong human, economic, and environmental case to be made for improving energy access for refugees and displaced people, and for recognising energy as a core concern within humanitarian relief efforts.
10 September 2018
| Dataset date: May 01, 2018-May 01, 2018
This data is the collection of perception of people affected by earthquake in Nepal. The data is collected in 14 district of Nepal which has more than sixty percent of damage level by earthquake in 2015. The total of 2100 people are surveyed in various VDC of the district.
10 September 2018
| Dataset date: December 01, 2015-June 30, 2018
The HRRP 4W tool is meant to provide an inventory of reporting activities that fall under the Housing Recovery & Reconstruction Platform (HRRP) framework. The datasets entail information on WHAT housing reconstruction activities is being planned and implemented by WHO (partner organizations), WHERE are the activities in VDC level and WHEN. In addition, the datasets also provide information on the number of beneficiaries/constructions, for the potentially measurement of process and impact.
4 September 2018
| Dataset date: April 01, 2018-June 30, 2018
The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
25 July 2018
| Dataset date: September 30, 2017-September 30, 2017
This dataset contains the location of affected schools by village, district, and governorate level. Includes number of students by gender, state of damage, school affected status, cause of damage, damage description, among other variables.
10 July 2018
| Dataset date: August 25, 2017-September 05, 2017
This resource is comprised of Twitter data collected and processed by the AIDR system during the 2017 hurricane Harvey. The data contains information about number of people affected, injured, dead, reports of damages, missing people and so on. The data was automatically classified using state of the art machine learning techniques.
7 July 2018
| Dataset date: April 04, 2017-April 04, 2017
FR: Cadre harmonisé d'identification des zones à risque et des populations vulnérables. Situation courante de mars à mai 2017 et situation projétée de juin à aout 2017.
EN: Harmonised framework of the identifying risks and the vulnerables people. The file contain the current situation from March to May and the predictive situation for the period from June to August.