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  • 200+ Downloads
    Updated July 3, 2019 | Dataset date: May 13, 2019
    This dataset updates: Every week
    This dataset contains the data used by the Humanitarian Country Team in Somalia to monitor the evolution of the drought situation in Somalia. The data covers the following topics: Internal displacement by cause (drought related, conflict/insecurity, other cause) River levels in the Shabelle and Juba rivers Water prices by Region Cumulative annual rainfall Disease burden (acute watery diarrhea (AWD)/cholera, bloody diarrhea and measles) Monthly response monitoring by region for the following indicators: CCCM: Number of people benefiting from site improvement projects EDUCATION: Number of children with access to safe drinking water FOOD SECURITY: Number of people reached through activities geared towards improving access to food and safety nets HEALTH: Number of medical consultations NUTRITION: Number of acute malnutrition admissions PROTECTION: Number of girls and boys, women and men participating in community-based psycho-social activities SHELTER: Number of people in need of emergency assistance receiving appropriate NFIs through in-kind distribution, vouchers or cash WASH: Number of people reached with access to sustainable safe water services The sources for the data are as follows: IDP data (PRMN/UNHCR); Rainfall and Rivers (SWALIM); Diseases (Health Cluster/WHO); Monthly Response (Humanitarian Clusters), Water Prices (FAO)
  • 400+ Downloads
    Updated December 18, 2018 | Dataset date: Jan 1, 2012-Dec 31, 2014
    This dataset updates: Every year
    The number of infectious disease outbreaks as reported by the Disease Early Warning System (DEWS), MoPH. Outbreaks are reported for ABD, Anthrax, ARI, AVH, AWD, Brucellosis, CCHF, Chickenpox, Cholera, Conjunctivitis, Dengue Fever, Dermatitis, Diphtheria, Gulran Disease, Leishmaniasis, Malaria, Measles, Mumps, Pertussis, Poisoning, Rabies, Scabies, Tenia Capitis and Typhoid.
  • 200+ Downloads
    Updated August 2, 2017 | Dataset date: Sep 19, 2014-Mar 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).