UNOSAT code EQ20230909MAR, GDACS Id: 1390643 Cette carte illustre les structures/bâtiments potentiellement endommagés par le séisme du 8 Septembre 2023 à Taroudant (à 155 km au SO de Marrakech) tel qu'observé à partir de l’analyse d’une image satellite Pléiades acquise le 10 Septembre 2023. Dans ce secteur d’analyse, UNOSAT a identifié 205 bâtiments endommagés et/ou potentiellement endommagés. L'observation d'un regroupement de tentes au NE de la ville indiquerait une zone de rassemblement temporaire de sinistrés.
Ceci est une analyse préliminaire et n'a pas encore été validée sur le terrain. Ne pas hésiter à envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).
UNOSAT code EQ20230909MAR, GDACS Id: 1390643 This application provides geospatial information on ongoing satellite based-assessment related with the 6.8 magnitude earthquake in Morocco of the 08th of September 2023 (22:11 UTC) with a mainshock epicentre located 70 SW of Marrakesh city.
Important note: The boundaries and names shown, and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The United Nations Satellite Centre -UNOSAT is not responsible for the misuse or misrepresentation of the map.
A magnitude 6.2 earthquake at 41.368 depth occurred on Sep 06 2023 in 42km SW of Coquimbo. It impacted 349977 people. The epicentre was at latitude -30.2775 longitude -71.536.
Kakuma Refugee Camp is one of the longest-standing humanitarian settlements in sub-Saharan Africa and one of the largest refugee camps in the world. In response to recent reductions in funding for the Kenyan refugee operation, increased global competition for funds, and a common belief that not all refugees in such protracted situations have the same humanitarian assistance needs, UNHCR and WFP decided to undertake a study among refugees in Kakuma Camp. The main aims were to fill knowledge gaps regarding refugee livelihoods and the level and differences of vulnerability in refugee households, as well as to explore the feasibility of delivering more differentiated assistance and to identify the mechanisms that would need to be put in place to do so. Specifically, the study was meant to determine whether a permanent targeting mechanism could be put in place or whether other ways of prioritising assistance exist when resources are tight. The survey covered 2,000 households and was implemented in November/December 2015.
UNHCR in collaboration with the Ministry of Public Health (MINSANTE) and all of its partners decided to carry out a SENS survey in all the sites developed for Central African refugees in the East and Adamawa regions in the period from January to March 2015. This is an extensive nutritional survey that includes six modules: anthropometry and health, anemia, Infant and Young Child Feeding (IYCF), Food security, Water, Sanitation and Hygiene, and Mosquito net coverage. This edition is the first of this kind of investigation into the operation to assist Central African refugees in Cameroon. Its interest is linked to the fact that it is a scientific work which provides basic information in several sensitive areas. Also it will serve as a basis for decision-making and orientation of ongoing projects, and then make advocacy for fundraising. This assessment is also part of a continuous monitoring of the nutritional situation of these refugee populations over time.
In 2014/2015, WFP and UNHCR, the Government's main partners in providing assistance to refugees, conducted a "socio-economic categorization" in select refugee camps in Chad. This dataset covers a total of 12,643 households in the Gozamir and Belom refugee camps.
The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that play a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey was conducted in October 2012 in Liberia in three counties (Maryland, Grand Gedeh, and Nimba) and in five refugee camp (Little Wlebo in Maryland; Solo, PTP, and Dougee in Grand Gedeh; and in Bahn camp in Nimba) hosting refugees from Côte d'Ivoire. It was organized by UNHCR and World Food Programme (WFP) in close collaboration with implementing partners, operational partners, and the Ministry of Health and Social Welfare (MoHSW) of the Republic of Liberia. This was the first of three SENS surveys that took place. Subsequent surveys took place in 2013 and 2015.
The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that play a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in the four Ivorian refugee camps (Bahn, PTP, Solo, and Little Wlebo) in Nimba, Grand Gedeh and Maryland Counties along the border with Cote d'Ivoire from November to December 2013. UNHCR and the World Food Programme (WFP) organized the survey in close collaboration with partners including Africa Humanitarian Action (AHA), International Refugee Committee (IRC), Merlin, Danish Refugee Council (DRC), CARE, and the Country Health Teams / Ministry of Health and Social Welfare of the Government of the Republic of Liberia. This was the second SENS to be conducted in the camps since the Ivorian refugee emergency in 2010 in Liberia; the first was in 2012.
The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey was conducted in Bahn, PTP and Little Wlebo camps, which are located in Maryland, Grand Gedeh and Nimba counties lying along the border of Liberia and Côte d'Ivoire. The three camps were hosting close to 29,000 Ivorian refugees including approximately 5,000 children aged below five years. The survey, which was organized by UNHCR in close collaboration with World Food Programme (WFP), UN Childrens Fund (UNICEF), CARE, African Humanitarian Action (AHA) and Country Health Teams / Ministry of Health and Social Welfare of the Republic of Liberia, was conducted from 7th April to 2nd May 2015. This was the third SENS to be conducted in the camps since the Ivorian refugee emergency in 2010 in Liberia; the first was in 2012 and the second in 2013.
UNOSAT code: FR20191016LBN This map illustrates satellite-detected burned areas in Al-Haffa and Al-Qardaha Districts, Lattakia Governorate, Syria, based on SPOT-6 imagery acquired on 21 October 2019. Approximately 433 ha of potentially burned areas were detected by UNOSAT as of 21 October 2019 (red). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
4W of the Ecuador Response as of 16th May 2016, compiled by OCHA featuring 4W inputs from:
WASH, Food Security, Education, Protection, CCCM, Shelter, Logistics, Early Recovery sectors.
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).
In September 2013, RIWI conducted a study of experiences and perceptions of mental health in the United Kingdom, reaching over 14,000 respondents. Respondents were asked whether they know or interact with someone who suffers from mental illness, and what their perception was of that individual. The data were collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).
Within 24 hours of the World Health Organization declaring the Zika virus a global health emergency, RIWI began a study in 9 countries across the Americas capturing over 30,000 respondents. Data collection targeted respondents' knowledge of Zika virus transmission mechanisms and confidence in government health agencies to treat and contain the epidemic. The data was collected using RIWI's patented Random Domain Intercept Technology™ (RDIT).