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Livelihood Zone Descriptions
Government of Senegal COMPREHENSIVE FOOD SECURITY AND VULNERABILITY ANALYSIS (CFSVA) Livelihood Zone Descriptions WFP/FAO/SE-CNSA/CSE/FEWS NET Introduction The WFP, FAO, CSE (Centre de Suivi Ecologique), SE/CNSA (Commissariat National à la Sécurité Alimentaire) and FEWS NET conducted a zoning exercise with the goal of defining zones with fairly homogenous livelihoods in order to better monitor vulnerability and early warning indicators. This exercise led to the development of a Livelihood Zone Map, showing zones within which people share broadly the same pattern of livelihood and means of subsistence. These zones are characterized by the following three factors, which influence household food consumption and are integral to analyzing vulnerability: 1) Geography – natural (topography, altitude, soil, climate, vegetation, waterways, etc.) and infrastructure (roads, railroads, telecommunications, etc.) 2) Production – agricultural, agro-pastoral, pastoral, and cash crop systems, based on local labor, hunter-gatherers, etc. 3) Market access/trade – ability to trade, sell goods and services, and find employment. Key factors include demand, the effectiveness of marketing systems, and the existence of basic infrastructure. Methodology The zoning exercise consisted of three important steps: 1) Document review and compilation of secondary data to constitute a working base and triangulate information 2) Consultations with national-level contacts to draft initial livelihood zone maps and descriptions 3) Consultations with contacts during workshops in each region to revise maps and descriptions. 1. Consolidating secondary data Work with national- and regional-level contacts was facilitated by a document review and compilation of secondary data on aspects of topography, production systems/land use, land and vegetation, and population density. -
Les Resultats Aux Examens
REPUBLIQUE DU SENEGAL Un Peuple - Un But - Une Foi Ministère de l’Enseignement supérieur, de la Recherche et de l’Innovation Université Cheikh Anta DIOP de Dakar OFFICE DU BACCALAUREAT B.P. 5005 - Dakar-Fann – Sénégal Tél. : (221) 338593660 - (221) 338249592 - (221) 338246581 - Fax (221) 338646739 Serveur vocal : 886281212 RESULTATS DU BACCALAUREAT SESSION 2017 Janvier 2018 Babou DIAHAM Directeur de l’Office du Baccalauréat 1 REMERCIEMENTS Le baccalauréat constitue un maillon important du système éducatif et un enjeu capital pour les candidats. Il doit faire l’objet d’une réflexion soutenue en vue d’améliorer constamment son organisation. Ainsi, dans le souci de mettre à la disposition du monde de l’Education des outils d’évaluation, l’Office du Baccalauréat a réalisé ce fascicule. Ce fascicule représente le dix-septième du genre. Certaines rubriques sont toujours enrichies avec des statistiques par type de série et par secteur et sous - secteur. De même pour mieux coller à la carte universitaire, les résultats sont présentés en cinq zones. Le fascicule n’est certes pas exhaustif mais les utilisateurs y puiseront sans nul doute des informations utiles à leur recherche. Le Classement des établissements est destiné à satisfaire une demande notamment celle de parents d'élèves. Nous tenons à témoigner notre sincère gratitude aux autorités ministérielles, rectorales, académiques et à l’ensemble des acteurs qui ont contribué à la réussite de cette session du Baccalauréat. Vos critiques et suggestions sont toujours les bienvenues et nous aident -
Bayesian Spatial Models Applied to Malaria Epidemiology
Bayesian spatial models applied to malaria epidemiology INAUGURALDISSERTATION zur Erlangung der W¨urdeeines Doktors der Philosophie vorgelegt der Philosophisch-Naturwissenschaftlichen Fakult¨at der Universit¨atBasel von Federica Giardina aus Pescara, Italien Basel, December 2015 Original document stored on the publication server of the University of Basel edoc.unibas.ch Genehmigt von der Philosophisch-Naturwissenschaftlichen Fakult¨atauf Antrag von Prof. Dr. M. Tanner, P.D. Dr. P. Vounatsou, and Prof. Dr. A. Biggeri. Basel, den 10 December 2013 Prof. Dr. J¨orgSchibler Dekan Science is built up with facts, as a house is with stones. But a collection of facts is no more a science than a heap of stones is a house. (Henri Poincar´e) iv Summary Malaria is a mosquito-borne infectious disease caused by parasitic protozoans of the genus Plasmodium and transmitted to humans via the bites of infected female Anopheles mos- quitoes. Although progress has been seen in the last decade in the fight against the disease, malaria remains one of the major cause of morbidity and mortality in large areas of the developing world, especially sub-Saharan Africa. The main victims are children under five years of age. The observed reductions are going hand in hand with impressive increases in international funding for malaria prevention, control, and elimination, which have led to tremendous expansion in implementing national malaria control programs (NMCPs). Common interventions include indoor residual spraying (IRS), the use of insecticide treated nets (ITN) and environmental measures such as larval control. Specific targets have been set during the last decade. The Millennium Development Goal (MDG) 6 aims to halve malaria incidence by 2015 as compared to 1990 and to achieve universal ITN coverage and treatment with appropriate antimalarial drugs. -
Economic Growth Project
ECONOMIC GROWTH PROJECT CONTRACT 685-I-00-06-00005-00 TA SK ORDER 5 FY 2013 ANNUAL REPORT OCTO BER 1, 2012 – SEPTEMBER 30, 2013 October 2013 This report is made possible by the support of the American People through the United States Agency for International Development (USAID). The contents of this report are the sole responsibility of International Resources Group (IRG) and do not necessarily reflect the views of USAID or the United States Government. ECONOMIC GROWTH PROJECT CONTRACT 685-I-00-06-00005-00 TASK ORDER 5 FY 2013 ANNUAL REPORT OCTOBER 1, 2012 – SEPTEMBER 30, 2013 October 2013 Submitted by International Resources Group (IRG) DISCLAIMER The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government Economic Growth Project FY 2013 Annual Report i CONTENTS INTRODUCTION ............................................................................................................................................................................ 1 Context .................................................................................................................................................................... 2 Highlights FY2013 ................................................................................................................................................. 3 FY2013 Feed the Future Indicator Overview .................................................................................................. -
Comportements En Matière D'hygiène Et D'assainissement Et Volonté De Payer En Milieu Rural Au Sénégal
Swiss TPH | Enquête hygiene et assainissement, Sénégal – Rapport final – Version finale_18.11.2015 Swiss Centre for International Health Programme Eau et Assainissement, Banque Mondiale Enquête ménage: comportements en matière d'hygiène et d'assainissement et volonté de payer en milieu rural au Sénégal Appui à la Direction de l'Assainissement Rapport final Swiss TPH ISED Consultants Lise Beck Mayassine Diongue Sylvain Faye Peter Steinmann Cheikh Fall Tidiane Ndoye Ibrahima Sy Adama Faye Alioune Touré Martin Bratschi Anta Tal Dia Kaspar Wyss Basel, 18 novembre 2015 Page 1 / 136 Swiss TPH | Enquête hygiene et assainissement, Sénégal – Rapport final – Version finale_18.11.2015 Contacts Swiss Tropical and Public Health Institute Institut de Santé et Développement Socinstrasse 57 Université Cheikh Anta Diop de Dakar (UCAD) P.O. Box BP 16390 4002 Basel Dakar-Fann Switzerland Sénégal Kaspar Wyss Anta Tal Dia Head of Systems Support Unit Director ISED Swiss Centre for International Health (SCIH) Tel: +221 33 824 98 78 T: +41 61 284 81 40 Fax: +221 33 825 36 48 F: +41 61 284 81 03 E-mail: [email protected] E-mail: [email protected] Website: www.scih.ch / www.swisstph.ch Website: http://www.ised.sn/ Financement Cette étude est menée pour le compte du Programme Eau et Assainissement (PEA), qui fait partie d’un partenariat de plusieurs donneurs administré par le Groupe de la Banque Mondiale. Le but est d’appuyer les populations pauvres dans l’accès à des services en eau et en assainissement qui sont abordables, sûrs et durables. Avertissement Les idées et opinions exprimées dans ce document sont ceux des auteurs et n’impliquent pas ou ne reflètent pas nécessairement les opinions de l’Institut. -
Mapping and Remote Sensing of the Resources of the Republic of Senegal
MAPPING AND REMOTE SENSING OF THE RESOURCES OF THE REPUBLIC OF SENEGAL A STUDY OF THE GEOLOGY, HYDROLOGY, SOILS, VEGETATION AND LAND USE POTENTIAL SDSU-RSI-86-O 1 -Al DIRECTION DE __ Agency for International REMOTE SENSING INSTITUTE L'AMENAGEMENT Development DU TERRITOIRE ..i..... MAPPING AND REMOTE SENSING OF THE RESOURCES OF THE REPUBLIC OF SENEGAL A STUDY OF THE GEOLOGY, HYDROLOGY, SOILS, VEGETATION AND LAND USE POTENTIAL For THE REPUBLIC OF SENEGAL LE MINISTERE DE L'INTERIEUP SECRETARIAT D'ETAT A LA DECENTRALISATION Prepared by THE REMOTE SENSING INSTITUTE SOUTH DAKOTA STATE UNIVERSITY BROOKINGS, SOUTH DAKOTA 57007, USA Project Director - Victor I. Myers Chief of Party - Andrew S. Stancioff Authors Geology and Hydrology - Andrew Stancioff Soils/Land Capability - Marc Staljanssens Vegetation/Land Use - Gray Tappan Under Contract To THE UNITED STATED AGENCY FOR INTERNATIONAL DEVELOPMENT MAPPING AND REMOTE SENSING PROJECT CONTRACT N0 -AID/afr-685-0233-C-00-2013-00 Cover Photographs Top Left: A pasture among baobabs on the Bargny Plateau. Top Right: Rice fields and swamp priairesof Basse Casamance. Bottom Left: A portion of a Landsat image of Basse Casamance taken on February 21, 1973 (dry season). Bottom Right: A low altitude, oblique aerial photograph of a series of niayes northeast of Fas Boye. Altitude: 700 m; Date: April 27, 1984. PREFACE Science's only hope of escaping a Tower of Babel calamity is the preparationfrom time to time of works which sumarize and which popularize the endless series of disconnected technical contributions. Carl L. Hubbs 1935 This report contains the results of a 1982-1985 survey of the resources of Senegal for the National Plan for Land Use and Development. -
Socio-Physical Vulnerability to Flooding in Senegal
BIG DATA TO ADDRESS GLOBAL DEVELOPMENT CHALLENGES 2018 1. Socio-physical Vulnerability to Flooding in Senegal. 2. Characterizing and analyzing urban dynamics in Bogota. 3. Understanding the Relationship between Short and Long Term Mobility. 4. Large-Scale Mapping of Citizens’ Behavioral Disruption in the Face of Urban Crime Shocks. Partners: Funded by: BIG DATA TO ADDRESS GLOBAL DEVELOPMENT CHALLENGES 2018 SOCIO-PHYSICAL VULNERABILITY TO FLOODING IN SENEGAL: AN EXPLORATORY ANALYSIS WITH NEW DATA & GOOGLE EARTH ENGINE Bessie Schwarz, Cloud to Street Beth Tellman, Cloud to Street Jonathan Sullivan, Cloud to Street Catherine Kuhn, Cloud to Street Richa Mahtta, Cloud to Street Bhartendu Pandey, Cloud to Street Laura Hammett, Cloud to Street Gabriel Pestre, Data Pop Alliance Funded by: SOCIO-PHYSICAL VULNERABILITY TO FLOODING IN SENEGAL: AN EXPLORATORY ANALYSIS WITH NEW DATA & GOOGLE EARTH ENGINE Bessie Schwarz, Cloud to Street Beth Tellman, Cloud to Street Jonathan Sullivan, Cloud to Street Catherine Kuhn, Cloud to Street Richa Mahtta, Cloud to Street Bhartendu Pandey, Cloud to Street Laura Hammett, Cloud to Street Gabriel Pestre, Data Pop Alliance Prepared for Dr. Thomas Roca, Agence Française de Développement Beth &Bessie Inc.(Doing Business as Cloud to Street) 4 Socio-physical Vulnerability to Flooding in Senegal | 2017 Abstract: Each year thousands of people and millions of dollars in assets are affected by flooding in Senegal; over the next decade, the frequency of such extreme events is expected to increase. However, no publicly available digital flood maps, except for a few aerial photos or post-disaster assessments from UNOSAT, could be found for the country. This report tested an experimental method for assessing the socio-physical vulnerability of Senegal using high capacity remote sensing, machine learning, new social science, and community engagement. -
Senegal Conflict Assessment Final 12-30-09
SENEGA9 SU;-REGIONA9 CONF9ICT ASSESS@ENT !"#$"%&"' )**+ This publication was produced for review by the United States Agency for International Development. It was prepared by @anagement Systems International. 1 Senegal Sub-Regional Conflict Assessment SENEGA9 SU;-REGIONA9 CONF9ICT ASSESS@ENT %,-,./0/-1 !231/03 4-1/5-,167-,8 975:75,1/ ;<<6=/3 J00 Water Street, SW Washington, DC 2002O Contracted under DFD-I-00-0P-002P10-00 Senegal Sub-Regional Conflict Assessment >4!9?@4%"' The authorQs views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government. 9;A$"A$! @=57-203 ,-B @CC5/D6,167-3EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE66 "F/=G16D/ !G00,52EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE6D 4E 4-157BG=167-H ;CI/=16D/3 ,-B %/1J7B787.2EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE K A. Assessment Objectives ................................................................................................................. 1 ;. @ethodology .................................................................................................................................... 1 C. ;ackground and Context ............................................................................................................. O 44E L6-B6-.3EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE -
IMPORTANT You Must Read the Following Before Continuing. The
IMPORTANT You must read the following before continuing. The following applies to the Prospectus following this page, and you are therefore required to read this carefully before reading, accessing or making any other use of the Prospectus. In accessing the Prospectus, you agree to be bound by the following terms and conditions, including any modifications to them any time you receive any information from us as a result of such access. THE FOLLOWING PROSPECTUS MAY NOT BE FORWARDED OR DISTRIBUTED OTHER THAN AS PROVIDED BELOW AND MAY NOT BE REPRODUCED IN ANY MANNER WHATSOEVER. THIS PROSPECTUS MAY ONLY BE DISTRIBUTED OUTSIDE THE UNITED STATES AND WITHIN THE UNITED STATES TO “QUALIFIED INSTITUTIONAL BUYERS” (QIBs) AS DEFINED IN AND PURSUANT TO RULE 144A OF THE U.S. SECURITIES ACT OF 1933, AS AMENDED (THE SECURITIES ACT) (RULE 144A). ANY FORWARDING, DISTRIBUTION OR REPRODUCTION OF THIS DOCUMENT IN WHOLE OR IN PART IS UNAUTHORISED. FAILURE TO COMPLY WITH THIS DIRECTIVE MAY RESULT IN A VIOLATION OF THE SECURITIES ACT OR THE APPLICABLE LAWS OF OTHER JURISDICTIONS. IF YOU HAVE GAINED ACCESS TO THIS TRANSMISSION CONTRARY TO ANY OF THE FOREGOING RESTRICTIONS, YOU ARE NOT AUTHORISED AND WILL NOT BE ABLE TO PURCHASE ANY OF THE NOTES DESCRIBED IN THE ATTACHED DOCUMENT. NOTHING IN THIS ELECTRONIC TRANSMISSION CONSTITUTES AN OFFER TO SELL OR THE SOLICITATION OF AN OFFER TO BUY ANY SECURITIES IN ANY JURISDICTION. THE SECURITIES HAVE NOT BEEN AND WILL NOT BE REGISTERED UNDER THE SECURITIES ACT OR WITH ANY SECURITIES REGULATORY AUTHORITY OF ANY STATE OR OTHER JURISDICTION OF THE UNITED STATES AND MAY NOT BE OFFERED OR SOLD WITHIN THE UNITED STATES EXCEPT TO QIBs PURSUANT TO RULE 144A. -
Estimating the Burden of Malaria in Senegal: Bayesian Zero-Inflated Binomial Geostatistical Modeling of the MIS 2008 Data
Estimating the Burden of Malaria in Senegal: Bayesian Zero-Inflated Binomial Geostatistical Modeling of the MIS 2008 Data Federica Giardina1,2, Laura Gosoniu1,2, Lassana Konate3, Mame Birame Diouf4, Robert Perry5, Oumar Gaye6, Ousmane Faye3, Penelope Vounatsou1,2* 1 Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland, 2 University of Basel, Basel, Switzerland, 3 Faculte´ des Sciences et Techniques, UCAD Dakar, Se´ne´gal, 4 National Malaria Control Programme, Dakar, Se´ne´gal, 5 Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America, 6 Faculte´ de Me´decine, Pharmacie et Odontologie, UCAD Dakar, Se´ne´gal Abstract The Research Center for Human Development in Dakar (CRDH) with the technical assistance of ICF Macro and the National Malaria Control Programme (NMCP) conducted in 2008/2009 the Senegal Malaria Indicator Survey (SMIS), the first nationally representative household survey collecting parasitological data and malaria-related indicators. In this paper, we present spatially explicit parasitaemia risk estimates and number of infected children below 5 years. Geostatistical Zero-Inflated Binomial models (ZIB) were developed to take into account the large number of zero-prevalence survey locations (70%) in the data. Bayesian variable selection methods were incorporated within a geostatistical framework in order to choose the best set of environmental and climatic covariates associated with the parasitaemia risk. Model validation confirmed that the ZIB model had a better predictive ability than the standard Binomial analogue. Markov chain Monte Carlo (MCMC) methods were used for inference. Several insecticide treated nets (ITN) coverage indicators were calculated to assess the effectiveness of interventions. -
Senegal Mapping the Poor in Senegal : Technical Report
REPUBLIQUE DU SENEGAL MINISTERE DE L’ECONOMIE, DES FINANCES ET DU PLAN AGENCE NATIONALE DE LA STATISTIQUE ET DE LA DEMOGRAPHIE (A.N.S.D.) SENEGAL MAPPING THE POOR IN SENEGAL : TECHNICAL REPORT 2016 MAPPING THE POOR IN SENEGAL: TECHNICAL REPORT DRAFT VERSION 1. Introduction Senegal has been successful on many fronts such as social stability and democratic development; its record of economic growth and poverty reduction however has been one of mixed results. The recently completed poverty assessment in Senegal (World Bank, 2015b) shows that national poverty rates fell by 6.9 percentage points between 2001/02 and 2005/06, but subsequent progress diminished to a mere 1.6 percentage point decline between 2005/06 and 2011, from 55.2 percent in 2001 to 48.3 percent in 2005/06 to 46.7 percent in 2011. In addition, large regional disparities across the regions within Senegal exist with poverty rates decreasing from North to South (with the notable exception of Dakar). The spatial pattern of poverty in Senegal can be explained by factors such as the lack of market access and connectivity in the more isolated regions to the East and South. Inequality remains at a moderately low level on a national basis but about two-thirds of overall inequality in Senegal is due to within-region inequality and between-region inequality as a share of total inequality has been on the rise during the 2000s. As a Sahelian country, Senegal faces a critical constraint, inadequate and unreliable rainfall, which limits the opportunities in the rural economy where the majority of the population still lives to differing extents across the regions. -
Project for Urban Master Plan of Dakar and Neighboring Area for 2035 Final Report Volume. I
No. Ministry of Urban Renewal, Japan International Cooperation Housing and Living Environment Agency (JICA) Republic of Senegal Project for Urban Master Plan of Dakar and Neighboring Area for 2035 Final Report Volume. I January 2016 Implemented by: RECS International Inc. Oriental Consultants Global Co., Ltd. PACET Corp. CTI Engineering International Co., Ltd. Asia Air Survey Co., Ltd. EI JR 16-002 Ministry of Urban Renewal, Japan International Cooperation Housing and Living Environment Agency (JICA) Republic of Senegal Project for Urban Master Plan of Dakar and Neighboring Area for 2035 Final Report Volume. I January 2016 Implemented by: RECS International Inc. Oriental Consultants Global Co., Ltd. PACET Corp. CTI Engineering International Co., Ltd. Asia Air Survey Co., Ltd. Currency Equivalents (average Interbank rates between May and July, 2015) US$1.00= FCFA 594.04 €1.00= FCFA 659.95 Source: Banque Centrale des Etats de l'Afrique de l'Ouest (BCEAO) Rate Project for Urban Master Plan of Dakar and Neighboring Area for 2035 Final Report: Volume. I Table of Contents Volume. I EXECUTIVE SUMMARY CHAPTER 1 INTRODUCTION ...................................................................................................... 1-1 1.1 Background ........................................................................................................................... 1-1 1.2 Objectives ............................................................................................................................. 1-3 1.3 Study Area ............................................................................................................................