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Districts of Ethiopia
Region District or Woredas Zone Remarks Afar Region Argobba Special Woreda -- Independent district/woredas Afar Region Afambo Zone 1 (Awsi Rasu) Afar Region Asayita Zone 1 (Awsi Rasu) Afar Region Chifra Zone 1 (Awsi Rasu) Afar Region Dubti Zone 1 (Awsi Rasu) Afar Region Elidar Zone 1 (Awsi Rasu) Afar Region Kori Zone 1 (Awsi Rasu) Afar Region Mille Zone 1 (Awsi Rasu) Afar Region Abala Zone 2 (Kilbet Rasu) Afar Region Afdera Zone 2 (Kilbet Rasu) Afar Region Berhale Zone 2 (Kilbet Rasu) Afar Region Dallol Zone 2 (Kilbet Rasu) Afar Region Erebti Zone 2 (Kilbet Rasu) Afar Region Koneba Zone 2 (Kilbet Rasu) Afar Region Megale Zone 2 (Kilbet Rasu) Afar Region Amibara Zone 3 (Gabi Rasu) Afar Region Awash Fentale Zone 3 (Gabi Rasu) Afar Region Bure Mudaytu Zone 3 (Gabi Rasu) Afar Region Dulecha Zone 3 (Gabi Rasu) Afar Region Gewane Zone 3 (Gabi Rasu) Afar Region Aura Zone 4 (Fantena Rasu) Afar Region Ewa Zone 4 (Fantena Rasu) Afar Region Gulina Zone 4 (Fantena Rasu) Afar Region Teru Zone 4 (Fantena Rasu) Afar Region Yalo Zone 4 (Fantena Rasu) Afar Region Dalifage (formerly known as Artuma) Zone 5 (Hari Rasu) Afar Region Dewe Zone 5 (Hari Rasu) Afar Region Hadele Ele (formerly known as Fursi) Zone 5 (Hari Rasu) Afar Region Simurobi Gele'alo Zone 5 (Hari Rasu) Afar Region Telalak Zone 5 (Hari Rasu) Amhara Region Achefer -- Defunct district/woredas Amhara Region Angolalla Terana Asagirt -- Defunct district/woredas Amhara Region Artuma Fursina Jile -- Defunct district/woredas Amhara Region Banja -- Defunct district/woredas Amhara Region Belessa -- -
Back Grou Di Formatio O the Co Servatio Status of Bubi Ga Ad We Ge Tree
BACK GROUD IFORMATIO O THE COSERVATIO STATUS OF BUBIGA AD WEGE TREE SPECIES I AFRICA COUTRIES Report prepared for the International Tropical Timber Organization (ITTO). by Dr Jean Lagarde BETTI, ITTO - CITES Project Africa Regional Coordinator, University of Douala, Cameroon Tel: 00 237 77 30 32 72 [email protected] June 2012 1 TABLE OF COTET TABLE OF CONTENT......................................................................................................... 2 ACKNOWLEDGEMENTS................................................................................................... 4 ABREVIATIONS ................................................................................................................. 5 ABSTRACT.......................................................................................................................... 6 0. INTRODUCTION ........................................................................................................10 I. MATERIAL AND METHOD...........................................................................................11 1.1. Study area..................................................................................................................11 1.2. Method ......................................................................................................................12 II. BIOLOGICAL DATA .....................................................................................................14 2.1. Distribution of Bubinga and Wengé species in Africa.................................................14 -
Midterm Survey Protocol
Protocol for L10K Midterm Survey The Last 10 Kilometers Project JSI Research & Training Institute, Inc. Addis Ababa, Ethiopia October 2010 Contents Introduction ........................................................................................................................................................ 2 The Last Ten Kilometers Project ............................................................................................................ 3 Objective one activities cover all the L10K woredas: .......................................................................... 4 Activities for objectives two, three and four in selected woredas ...................................................... 5 The purpose of the midterm survey ....................................................................................................... 6 The midterm survey design ...................................................................................................................... 7 Annex 1: List of L10K woredas by region, implementation strategy, and implementing phase ......... 10 Annex 2: Maps.................................................................................................................................................. 11 Annex 3: Research questions with their corresponding study design ...................................................... 14 Annex 4: Baseline survey methodology ........................................................................................................ 15 Annex 5: L10K midterm survey -
Honey Bee Floras Along the Agro-Ecology, Jimma Zone, Southwest Ethiopia
ISSN 2664-4169 (Print) & ISSN 2664-7923 (Online) South Asian Research Journal of Biology and Applied Biosciences Abbreviated Key Title: South Asian Res J Bio Appl Biosci | Volume-3 | Issue-4 | July-Aug -2021 | DOI: 10.36346/sarjbab.2021.v03i04.001 Original Research Article Honey Bee Floras along the Agro-Ecology, Jimma Zone, Southwest Ethiopia Abera Hailu Degaga1*, Minyahel Tilahun1 1College of Agriculture and Natural Resource, Wolkite University, P.O.Box 07, Wolkite, Ethiopia *Corresponding Author Abera Hailu Degaga Email: [email protected] Article History Received: 29.06.2021 Accepted: 03.08.2021 Published: 08.08.2021 Abstract: Ethiopia is home to diverse plant species that provide nectar and pollen as bees forage. In this study, honey bee forages were assessed in three different agro-ecology districts, Jimma Zone, Southwest, Ethiopia. Random sampling techniques was used to collect the data, ninety beekeepers were interviewed using structured questioner. Key informants were interviewed with in all study areas. ANOVA of GLM and Regression were done using Minitab statistical software. Accordingly 42 honey bee’ forages; 28 trees, 6 shrubs and 8 herbs were mentioned by respondents which belong to 22 families, Fabaceae and Asteraceae were the first and second dominant family respectively. Natural forest trees, cultivated crops and fruits were identified as bee forage. Beekeepers experience and their knowledge on seasonal availability of bee forage and honey bee poisonous plants found in their locality were also assessed. In the study area traditional forest beekeeping system is practiced to produce honey. Different bee forages bear flower at different months and visited by honey bees for different number of days. -
Choice of Suitable Regional and Residual Gravity Maps, the Case of the South-West Cameroon Zone
Earth and Planetary Physics RESEARCH ARTICLE 3: 26–32, 2019 SOLID EARTH: GEODESY AND GRAVITY doi: 10.26464/epp2019004 Choice of suitable regional and residual gravity maps, the case of the South-West Cameroon zone Fidèle Koumetio1*, Donatien Njomo2, Constant Tatchum Noutchogwe3, Eric Ndoh Ndikum4, Sévérin Nguiya5, and Alain-Pierre Kamga Tokam2 1Department of Physics, Faculty of Science, University of Dschang, PO Box 67 Dschang, Cameroon; 2Department of Physics, Faculty of Science, University of Yaounde I, Cameroon; 3Department of Physics, ENS Bambili, University of Bamenda, Cameroon; 4Department of Fundamental Sciences, H.T.T.T.C. Bambili-Bamenda, University of Bamenda, Cameroon; 5Department of Physics, Faculty of Genial Engineering, University of Douala, Cameroon Abstract: The quantitative interpretation of gravity anomalies due to shallow structures needs separation between long wavelength anomalies (regional anomalies) and short wavelength anomalies (residual anomalies). The regional-residual field separation can be carried out using the polynomial method. In this case, the so-called regional field of order n is treated as a polynomial of degree n. The present study shows that the degree n must vary between a smallest value nmin and a maximum value nmax. This article presents a method to process gravity data that allows determination of nmin and nmax for a given study area. We apply the method to gravity data of the South-West Cameroon zone. In this chosen study area, we find that regional anomaly maps of orders ranging from 1 to 9 and residual anomaly maps of orders ranging from 1 to 8 can be used for suitable interpretation. The analyses show that one may need residual anomaly maps of several orders to perform satisfactory quantitative interpretation of the different intrusive bodies found in a given area. -
Cahiers Du BUCREP Volume 01, Numéro 01
Cahiers du BUCREP Volume 01, Numéro 01 Analyses préliminaires des données communautaires dans la Province du sud Cameroun en 2003 Tome 1 Analyses Bureau Central des Recensements Juin 2008 et des Etudes de Population - BUCREP 1 Cahiers du BUCREPvolume 01,numéro 01 DIRECTEUR DE PUBLICATION Madame Bernadette MBARGA, Directeur Général CONSEILLE EDITORIAL Monsieur ABDOULAYE OUMAROU DALIL, Directeur Général Adjoint Monsieur Raphaël MFOULOU, Conseiller Technique Principal - UNFPA / 3ème RGPH COORDONNATEUR TECHNIQUE YOUANA Jean PUBLICATION MBARGA MIMBOE EQUIPE DE REDACTION DE CE TOME Joseph-Blaise DJOUMESSI, Gérard MEVA’A, Ambroise HAKOUA, Pascal MEKONTCHOU, André MIENGUE, Mme Marthe ONANA, Martin TSAFACK, P. Kisito BELINGA, Hervé Joël EFON, Jules Valère MINYA, Lucien FOUNGA COLLABORATION DISTRIBUTION Cellule de la Communication et des Relations Publiques Imprimerie Presses du BUCREP 2 Analyses préliminaires des données communautaires dans la province du SUD CAMEROUN en 2003 SOMMAIRE UNE NOUVELLE SOURCE DE DONNEES 5 METHODOLOGIE DES TRAVAUX CARTOGRAPHIQUES 7 1- PRODUCTIONS DU VILLAGE 8 2- INFRASTRUCTURES SCOLAIRES 12 3- INFRASTRUCTURES SANITAIRES 18 4- INFRASTRUCTURES SOCIOCULTURELLES 23 5- CENTRES D’ETAT CIVIL 25 6- AUTRES INFRASTRUCTURES 29 7- INFRASTRUCTURES TOURISTIQUES 31 8- RESEAU DE DISTRIBUTION D’EAU ET D’ELECTRICITE 36 9- VIE ASSOCIATIVE 39 3 4 Analyses préliminaires des données communautaires dans la province du SUD CAMEROUN en 2003 UNE NOUVELLE SOURCE DE DONNNEES : LE QUESTIONNAIRE LOCALITE Les travaux de cartographie censitaire déjà -
Airs Ethiopia Community-Based Irs Model: Comparative Evaluation
PMI | Africa IRS (AIRS) Project Indoor Residual Spraying (IRS 2) Task Order Four AIRS ETHIOPIA COMMUNITY-BASED IRS MODEL: COMPARATIVE EVALUATION MARCH 2013 Recommended Citation: Africa Indoor Residual Spraying Project. March 2013. AIRS Ethiopia. Community-Based IRS Model: Comparative Evaluation. Bethesda, MD. AIRS Project, Abt Associates Inc. Contract: GHN-I-00-09-00013-00 Task Order: AID-OAA-TO-11-00039 Submitted to: United States Agency for International Development/PMI Prepared by: Abt Associates Inc. Abt Associates Inc. I 4550 Montgomery Avenue I Suite 800 North I Bethesda, Maryland 20814 I T. 301.347.5000 I F. 301.913.9061 I www.abtassociates.com AIRS ETHIOPIA COMMUNITY-BASED IRS MODEL: COMPARATIVE EVALUATION MARCH 2013 The views expressed in this document do not necessarily reflect the views of the United States Agency for International Development or the United States Government. CONTENTS Acronyms .................................................................................................................................... v 1. Pilot of Community-Based IRS ............................................................................................. 1 1.1 Introduction ......................................................................................................................................................... 1 1.2 Health Extension Program in Ethiopia ........................................................................................................... 1 1.3 Definition of Two IRS Models ........................................................................................................................ -
N I G E R I a C H a D Central African Republic Congo
CAMEROON: LOCATIONS OF UNHCR PERSONS OF CONCERN (September 2020) ! PERSONNES RELEVANT DE Maïné-Soroa !Magaria LA COMPETENCE DU HCR (POCs) Geidam 1,951,731 Gashua ! ! CAR REFUGEES ING CurAi MEROON 306,113 ! LOGONE NIG REFUGEES IN CAMEROON ET CHARI !Hadejia 116,409 Jakusko ! U R B A N R E F U G E E S (CENTRAL AFRICAN REPUBLIC AND 27,173 NIGERIAN REFUGEE LIVING IN URBAN AREA ARE INCLUDED) Kousseri N'Djamena !Kano ASYLUM SEEKERS 9,332 Damaturu Maiduguri Potiskum 1,032,942 INTERNALLY DISPLACED PERSO! NS (IDPs) * RETURNEES * Waza 484,036 Waza Limani Magdeme Number of refugees MAYO SAVA Mora ! < 10,000 EXTRÊME-NORD Mokolo DIAMARÉ Biu < 50,000 ! Maroua ! Minawao MAYO Bauchi TSANAGA Yagoua ! Gom! be Mubi ! MAYO KANI !Deba MAYO DANAY < 75000 Kaele MAYO LOUTI !Jos Guider Number! of IDPs N I G E R I A Lafia !Ləre ! < 10,000 ! Yola < 50,000 ! BÉNOUÉ C H A D Jalingo > 75000 ! NORD Moundou Number of returnees ! !Lafia Poli Tchollire < 10,000 ! FARO MAYO REY < 50,000 Wukari ! ! Touboro !Makurdi Beke Chantier > 75000 FARO ET DÉO Tingere ! Beka Paoua Number of asylum seekers Ndip VINA < 10,000 Bocaranga ! ! Borgop Djohong Banyo ADAMAOUA Kounde NORD-OUEST Nkambe Ngam MENCHUM DJEREM Meiganga DONGA MANTUNG MAYO BANYO Tibati Gbatoua Wum BOYO MBÉRÉ Alhamdou !Bozoum Fundong Kumbo BUI CENTRAL Mbengwi MEZAM Ndop MOMO AFRICAN NGO Bamenda KETUNJIA OUEST MANYU Foumban REPUBLBICaoro BAMBOUTOS ! LEBIALEM Gado Mbouda NOUN Yoko Mamfe Dschang MIFI Bandjoun MBAM ET KIM LOM ET DJEREM Baham MENOUA KOUNG KHI KOUPÉ Bafang MANENGOUBA Bangangte Bangem HAUT NKAM Calabar NDÉ SUD-OUEST -
Prioritization of Shelter/NFI Needs
Prioritization of Shelter/NFI needs Date: 31st May 2018 Shelter and NFI Needs As of 18 May 2018, the overall number of displaced people is 345,000 households. This figure is based on DTM round 10, partner’s assessments, government requests, as well as the total of HH supported since July 2017. The S/NFI updated its prioritisation in early May and SNFI Cluster partners agreed on several criteria to guide prioritisation which include: - 1) type of emergency, 2) duration of displacement, and 3) sub-standard shelter conditions including IDPS hosted in collective centres and open-air sites and 4) % of vulnerable HH at IDP sites. Thresholds for the criteria were also agreed and in the subsequent analysis the cluster identified 193 IDP hosting woredas mostly in Oromia and Somali regions, as well as Tigray, Gambella and Addis Ababa municipality. A total of 261,830 HH are in need of urgent shelter and NFI assistance. At present the Cluster has a total of 57,000 kits in stocks and pipeline. The Cluster requires urgent funding to address the needs of 204,830 HHs that are living in desperate displacement conditions across the country. This caseload is predicted to increase as the flooding continues in the coming months. Shelter and NFI Priority Activities In terms of priority activities, the SNFI Cluster is in need of ES/NFI support for 140,259 HH displaced mainly due to flood and conflict under Pillar 2, primarily in Oromia and Somali Regions. In addition, the Shelter and NFI Cluster requires immediate funding for recovery activities to support 14,000 HH (8,000 rebuild and 6,000 repair) with transitional shelter support and shelter repair activities under Pillar 3. -
De 45 Adjoints D'administration
AO/CBGI REPUBLIQUE DU CAMEROUN REPUBLIC OF CAMEROON Paix –Travail – Patrie Peace – Work – Fatherland -------------- --------------- MINISTERE DE LA FONCTION PUBLIQUE MINISTRY OF THE PUBLIC SERVICE ET DE LA REFORME ADMINISTRATIVE AND ADMINISTRATIVE REFORM --------------- --------------- SECRETARIAT GENERAL SECRETARIAT GENERAL --------------- --------------- DIRECTION DU DEVELOPPEMENT DEPARTMENT OF STATE HUMAN DES RESSOURCES HUMAINES DE L’ETAT RESSOURCES DEVELOPMENT --------------- --------------- SOUS-DIRECTION DES CONCOURS SUB DEPARTMENT OF EXAMINATIONS ------------------ -------------------- CONCOURS DIRECT POUR LE RECRUTEMENT DE 45 ADJOINTS D’ADMINISTRATION SESSION 2020 CENTRE D’EBOLOWA LISTE DES CANDIDATS AUTORISÉS À SUBIR LES ÉPREUVES ÉCRITES DU 12 SEPTEMBRE 2020 RÉGION DÉPARTEMENT NO MATRICULE NOMS ET PRÉNOMS DATE ET LIEU DE NAISSANCE SEXE LANGUE D’ORIGINE D’ORIGINE 1. AAL4428 ABESSOLO BELINGA MARQUISE 07/07/1998 A EBOLOWA F SU MVILA F 2. AAL1019 ABOMO MINKOULOU MONIQUE AURELIE 28/12/1992 A BENGBIS F SU DJA ET LOBO F 3. AAL5292 ABOSSSOLO MARTHE BRINDA 15/12/2000 A EBOLOWA F SU MVILA F 4. AAL3243 ABOUTOU MEBA CAROLE DEBORA 03/06/1996 A SANGMELIMA F SU DJA ET LOBO F 5. AAL2622 ADA MBEA CHRISTELLE FALONNE 10/06/1995 A MENDJIMI F SU VALLEE DU NTEM F 6. AAL1487 ADJOMO OBAME JOSSELINE 28/08/1993 A YAOUNDE F SU DJA ET LOBO F 7. AAL3807 AFA'A POMBA VALERE GHISLAIN 28/04/1997 A AWAE M SU DJA ET LOBO F 8. AAL4597 AFANE BERTHOLD 15/11/1998 A KONGO-NDONG M SU DJA ET LOBO F MINFOPRA/SG/DDRHE/SDC|Liste générale des candidats Adjoints d’Administration, session 2020_Ebolowa Page 1 9. AAL4787 AFANE MALORY 27/05/1999 A MBILEMVOM F SU DJA ET LOBO F 10. -
Study on Spatial Distribution of Tsetse Fly and Prevalence Of
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by International Institute for Science, Technology and Education (IISTE): E-Journals Journal of Pharmacy and Alternative Medicine www.iiste.org ISSN 2222-4807 (online) ISSN 2222-5668 (Paper) An International Peer-reviewed Journal Vol.7, 2015 Study on Spatial Distribution of Tsetse Fly and Prevalence of Bovine Trypanosomosis and other Risk Factors: Case Study in Darimu District, Ilu Aba Bora Zone, Western Ethiopia Fedesa Habte Assefa Kebede Tekalegn Desta School of Veterinary Medicine, Jimma University College of Agriculture and Veterinary Medicine, P.O. Box: 307 Jimma, Ethiopia Abstract African Animal Trypanosomosis is one of the major impediments to livestock development and agricultural production in Ethiopia, which negatively affect the overall development in agriculture in general, and to food self- reliance efforts in particular. Currently, about 180,000 to 200,000km 2 of fertile arable land of west and southwest of the country is underutilized. Darimu district is one of the areas with such problems. Therefore, a cross-sectional study was conducted with the objectives of assessing the prevalence of Bovine Trypanosomosis and determines spatial distribution and apparent density of tsetse and other biting flies in the study area. In current study, a total of 650 blood samples were collected from randomly selected animals and subjected to Buffy coat parasitological laboratory technique and positive samples were subjected to thin blood smear followed by Giemsa staining. Out of the total blood sampled, 7.1% tested positive for trypanosomosis. Out of positive cases, Trypanosoma congolense (82.61%) was the dominant trypanosome species followed by mixed infection ( Trypanosoma congolense and Trypanosoma vivax ) (8.67%). -
Oromia Region Administrative Map(As of 27 March 2013)
ETHIOPIA: Oromia Region Administrative Map (as of 27 March 2013) Amhara Gundo Meskel ! Amuru Dera Kelo ! Agemsa BENISHANGUL ! Jangir Ibantu ! ! Filikilik Hidabu GUMUZ Kiremu ! ! Wara AMHARA Haro ! Obera Jarte Gosha Dire ! ! Abote ! Tsiyon Jars!o ! Ejere Limu Ayana ! Kiremu Alibo ! Jardega Hose Tulu Miki Haro ! ! Kokofe Ababo Mana Mendi ! Gebre ! Gida ! Guracha ! ! Degem AFAR ! Gelila SomHbo oro Abay ! ! Sibu Kiltu Kewo Kere ! Biriti Degem DIRE DAWA Ayana ! ! Fiche Benguwa Chomen Dobi Abuna Ali ! K! ara ! Kuyu Debre Tsige ! Toba Guduru Dedu ! Doro ! ! Achane G/Be!ret Minare Debre ! Mendida Shambu Daleti ! Libanos Weberi Abe Chulute! Jemo ! Abichuna Kombolcha West Limu Hor!o ! Meta Yaya Gota Dongoro Kombolcha Ginde Kachisi Lefo ! Muke Turi Melka Chinaksen ! Gne'a ! N!ejo Fincha!-a Kembolcha R!obi ! Adda Gulele Rafu Jarso ! ! ! Wuchale ! Nopa ! Beret Mekoda Muger ! ! Wellega Nejo ! Goro Kulubi ! ! Funyan Debeka Boji Shikute Berga Jida ! Kombolcha Kober Guto Guduru ! !Duber Water Kersa Haro Jarso ! ! Debra ! ! Bira Gudetu ! Bila Seyo Chobi Kembibit Gutu Che!lenko ! ! Welenkombi Gorfo ! ! Begi Jarso Dirmeji Gida Bila Jimma ! Ketket Mulo ! Kersa Maya Bila Gola ! ! ! Sheno ! Kobo Alem Kondole ! ! Bicho ! Deder Gursum Muklemi Hena Sibu ! Chancho Wenoda ! Mieso Doba Kurfa Maya Beg!i Deboko ! Rare Mida ! Goja Shino Inchini Sululta Aleltu Babile Jimma Mulo ! Meta Guliso Golo Sire Hunde! Deder Chele ! Tobi Lalo ! Mekenejo Bitile ! Kegn Aleltu ! Tulo ! Harawacha ! ! ! ! Rob G! obu Genete ! Ifata Jeldu Lafto Girawa ! Gawo Inango ! Sendafa Mieso Hirna