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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 -
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. -
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 -
Administrative Region, Zone and Woreda Map of Oromia a M Tigray a Afar M H U Amhara a Uz N M
35°0'0"E 40°0'0"E Administrative Region, Zone and Woreda Map of Oromia A m Tigray A Afar m h u Amhara a uz N m Dera u N u u G " / m r B u l t Dire Dawa " r a e 0 g G n Hareri 0 ' r u u Addis Ababa ' n i H a 0 Gambela m s Somali 0 ° b a K Oromia Ü a I ° o A Hidabu 0 u Wara o r a n SNNPR 0 h a b s o a 1 u r Abote r z 1 d Jarte a Jarso a b s a b i m J i i L i b K Jardega e r L S u G i g n o G A a e m e r b r a u / K e t m uyu D b e n i u l u o Abay B M G i Ginde e a r n L e o e D l o Chomen e M K Beret a a Abe r s Chinaksen B H e t h Yaya Abichuna Gne'a r a c Nejo Dongoro t u Kombolcha a o Gulele R W Gudetu Kondole b Jimma Genete ru J u Adda a a Boji Dirmeji a d o Jida Goro Gutu i Jarso t Gu J o Kembibit b a g B d e Berga l Kersa Bila Seyo e i l t S d D e a i l u u r b Gursum G i e M Haro Maya B b u B o Boji Chekorsa a l d Lalo Asabi g Jimma Rare Mida M Aleltu a D G e e i o u e u Kurfa Chele t r i r Mieso m s Kegn r Gobu Seyo Ifata A f o F a S Ayira Guliso e Tulo b u S e G j a e i S n Gawo Kebe h i a r a Bako F o d G a l e i r y E l i Ambo i Chiro Zuria r Wayu e e e i l d Gaji Tibe d lm a a s Diga e Toke n Jimma Horo Zuria s e Dale Wabera n a w Tuka B Haru h e N Gimbichu t Kutaye e Yubdo W B Chwaka C a Goba Koricha a Leka a Gidami Boneya Boshe D M A Dale Sadi l Gemechis J I e Sayo Nole Dulecha lu k Nole Kaba i Tikur Alem o l D Lalo Kile Wama Hagalo o b r Yama Logi Welel Akaki a a a Enchini i Dawo ' b Meko n Gena e U Anchar a Midega Tola h a G Dabo a t t M Babile o Jimma Nunu c W e H l d m i K S i s a Kersana o f Hana Arjo D n Becho A o t -
Study on Prevalence of Bovine Trypanosomosis and Apparent Density of Tsetse Fly in Borecha Woreda, South-Western Ethiopia
Open Access Austin Journal of Veterinary Science & Animal Husbandry Research Article Study on Prevalence of Bovine Trypanosomosis and Apparent Density of Tsetse Fly in Borecha Woreda, South-Western Ethiopia Shewangizaw G and Takele S* National Institute for Control and Eradication of Tsetse Abstract Fly and Trypanosomosis, Ethiopia Background: Animal trypanosomiasis is an economically significant disease *Corresponding author: Samson Takele, National that affects the livestock industry in Ethiopia. However, national estimates of the Institute for Control and Eradication of Tsetse Fly and disease prevalence in livestock and tsetse flies are lacking, therefore a cross- Trypanosomosis, Bedele Center, PO-Box 19917, Ethiopia sectional study aimed at determining the prevalence of bovine trypanosomosis and assessing the apparent density of tsetse flies was conducted from November Received: December 04, 2020; Accepted: December to December 2019 in Borecha Woreda, South-Western Ethiopia. 28, 2020; Published: January 04, 2021 Methodology: Blood samples collected from 384 randomly selected cattle and subjected to parasitological and hematological analysis. The Packed Cell Volume (PCV) value of each animal was also measured using a hematocrit reader. Standard isolation and identification procedures were performed to identify trypanosome isolates. Baited different types of traps were used for the vector survey. Results: A total of 278 tsetse flies were collected. Only one species, namely, G. Tachnoides, was recorded from the area. The overall prevalence of trypanosomes was 5.5%. The most common trypanosome species identified were Trypanosoma congolense (57.1%). The prevalence of trypanosomes infection was not statistically significant (p>0.05) between Sex and Age groups. However, a statistically significant difference (p<0.05) was observed in the prevalence of trypanosomes with different body-conditioned animals with higher infection rates being recorded in poorly conditioned animals (16.6%). -
Addis Ababa University, School of Graduate Studies, Environmental Science Program
ADDIS ABABA UNIVERSITY, SCHOOL OF GRADUATE STUDIES, ENVIRONMENTAL SCIENCE PROGRAM THE IMPACT OF RESETTLEMENT ON WOODLAND VEGETATION: THE CASE OF CHEWAKA RESETTLEMENT AREA, SOUTHWESTERN ETHIOPIA BERHANU GENETI MORODA ENVIRONMENTAL SCIENCE PROGRAM MAY 2007 ADDIS ABABA, ETHIOPIA II ADDIS ABABA UNIVERSITY, SCHOOL OF GRADUATE STUDIES, ENVIRONMENTAL SCIENCE PROGRAM THE IMPACT OF RESETTLEMENT ON WOODLAND VEGETATION: THE CASE OF CHEWAKA RESETTLEMENT AREA, SOUTHWESTERN ETHIOPIA BY BERHANU GENETI MORODA file:///C|/Users/3020/Desktop/enviromental%20science/Berhanu%20Geneti%20Moroda.pdf.txt[6/1/2018 9:16:33 AM] THESIS SUBMITTED TO SCHOOL OF GRADUATE STUDIES OF ADDIS ABABA UNIVERSITY, IN PARTIAL FULFILLMENT OF MASTERS DEGREE IN ENVIRONMENTAL SCIENCE MAY 2007 ADDIS ABABA, ETHIOPIA III ADDIS ABABA UNIVERSITY, SCHOOL OF GRADUATE STUDIES, ENVIRONMENTAL SCIENCE PROGRAM THE IMPACT OF RESETTLEMENT ON WOODLAND VEGETATION: THE CASE OF CHEWAKA RESETTLEMENT AREA, SOUTHWESTEN ETHIOPIA BY BERHANU GENETI MORODA SCIENCE FACULTY APPROVED BY EXAMINING BOARD: Signature Dr Tadesse Woldemariam ______________ (Advisor) Dr Mulugeta Lemenih ________________ (Advisor) Dr Mekuria Argaw _________________ (Internal examiner) Dr Feyera Senbeta _________________ (External examiner) I ACKNOWLEDGEMENTS This study would have not been possible with out the contribution of different organizations and individuals. First of all I am grateful to my employer, the Office of Gambella National Park that granted me study leave to continue my study at Addis Ababa University. I am also indebted to Addis Ababa University for offering me the scholarship. The Central Statistics Agency and Federal Meteorological Agency provided relevant information of the area. My advisors Dr Tadesse Woldemariam (Addis Ababa University) and Dr Mulugeta Lemenih (Hawassa University, Wondo Genet College of Forestry and Natural Resources) have been advising and sharing their invaluable time and ideas for which I am highly grateful. -
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JOINT ACTION FORUM JAF-FAC: NINTH SESSION FORUM D'ACTION COMMUNE Offiee of the Chairman Gatineau, -1-5 Deeemtrer, 200'1 Bureau du Pr6sident l.-r I I ,,. j l/ t-_, African Programme for Onchocerciasis Control i- -, Programme africain de lutte contre I'onchocercose - t20 - t Prolects approved Peryear --{-Cumulative total 107 too 80 8o 69 63 57 60 45 40 29 a 427 20 -.a---_ 'tl 16 --a 1 12 o 1996 1997 19S 1S9 2000 2001 20,02 20vJ CONSIDERATION OF NATIONAL ONCHOCERCIASIS CONTROL PLANS AND PROJECT PROPOSALS (CDTI. \TECTOR ELIMINATION AJ\[D HEADOUATERS SUPPORD APPROVED IN 2OO3 JAF 9.7 ORIGINAL: ENGLISH ! Senfemher 20O3 JAF9.7 Page i Table of contents A. INTRODUCTION I B. NEW NATIONAL PLANS AND CDTI PROJECT PROPOSALS......... 2 I ANGOLA 2 1.1. Rapid epidemiologicalmapping of onchocerciasis (REMO) in Angola... 2 Community-directed treatment with ivermectin (CDTI) project of Cabinda, Angola.. 2 F 1.2. 1.3. Community directed treatment with ivermectin project of Moxico, Angola" 5 2. CAMEROON............... 6 2.1. Rapid epidemiological mapping of onchocerciasis (REMO) in Cameroon.......... 6 2.2. Community-directed treatment with ivermectin (CDTI) project of Adamaoua 1, Cameroon.... 7 2.3. Community-directed treatment with ivermectin (CDTI) project of South Province, Cameroon.. 9 2.4. Community-directed treatment with ivermectin project of East Province, Cameroon.. 1l 2.5. Community-directed treatment with ivermectin project of Far North Province, Cameroon.. 3. CONGO 3.1. Rapid epidemiological mapping of onchocerciasis (REMO) in Congo 3.2. Extension of Congo Community-directed treatment with ivermectin project l5 4. -
Volume8 Issue5(3)
Volume 8, Issue 5(3), May 2019 International Journal of Multidisciplinary Educational Research Published by Sucharitha Publications 48-12-3/7, Flat No: 302, Alekya Residency Srinagar, Visakhapatnam – 530 016 Andhra Pradesh – India Email: [email protected] Website: www.ijmer.in Editorial Board Editor-in-Chief Dr. K. Victor Babu Associate Professor, Institute of Education Mettu University, Metu, Ethiopia. EDITORIAL BOARD MEMBERS Prof. S.Mahendra Dev Prof. Igor Kondrashin Vice Chancellor The Member of The Russian Philosophical Indira Gandhi Institute of Development Society Research, Mumbai The Russian Humanist Society and Expert of The UNESCO, Moscow, Russia Prof.Y.C. Simhadri Vice Chancellor, Patna University Dr. Zoran Vujisiæ Former Director Rector Institute of Constitutional and Parliamentary St. Gregory Nazianzen Orthodox Institute Studies, New Delhi & Universidad Rural de Guatemala, GT, U.S.A Formerly Vice Chancellor of Benaras Hindu University, Andhra University Nagarjuna University, Patna University Prof.U.Shameem Department of Zoology Prof. (Dr.) Sohan Raj Tater Andhra University Visakhapatnam Former Vice Chancellor Singhania University, Rajasthan Dr. N.V.S.Suryanarayana Dept. of Education, A.U. Campus Prof.K.Sreerama Murty Vizianagaram Department of Economics Andhra University - Visakhapatnam Dr. Kameswara Sharma YVR Asst. Professor Dr.V.Venkateswarlu Dept. of Zoology Assistant Professor Sri. Venkateswara College, Delhi University, Dept. of Sociology & Social Work Delhi Acharya Nagarjuna University, Guntur I Ketut Donder Prof. P.D.Satya Paul Depasar State Institute of Hindu Dharma Department of Anthropology Indonesia Andhra University – Visakhapatnam Prof. Roger Wiemers Prof. Josef HÖCHTL Professor of Education Department of Political Economy Lipscomb University, Nashville, USA University of Vienna, Vienna & Ex. Member of the Austrian Parliament Dr. -
Annual Report International Organization for Migration Special Liaison Office (IOM SLO) in Addis Ababa, Ethiopia
2015Annual Report International Organization for Migration Special Liaison Office (IOM SLO) in Addis Ababa, Ethiopia IOM OIM IOM PRESENCE In EthIOpIA IOM Presence in Ethiopia ETHIOPIA: Administrative Map (as of 14 January 2011) R ShireERITREA E Legend Tahtay Erob Laelay Adiyabo Mereb Ahferom Gulomekeda \\( Adiyabo Leke D National Capital Ganta Medebay Dalul North Adwa Afeshum Saesie Tahtay Zana Laelay Tsaedaemba Kafta Western Maychew PP Koraro Central Humera Asgede Tahtay Eastern Regional Capital Naeder Werei Hawzen Western Tsimbila Maychew Adet Leke Koneba Berahle Welkait Kelete Atsbi S Tigray Awelallo Wenberta International Boundary Tselemti Kola Degua Tsegede Mekele E Temben Temben P Addi Tselemt Tanqua Afdera Zone 2 Enderta Arekay Abergele Regional Boundary Tsegede Beyeda Ab Ala Mirab Saharti A Armacho Debark Samre Hintalo Erebti Abergele Wejirat Tach Megale Bidu Zonal Boundary Armacho Dabat Janamora Alaje Lay Sahla North Armacho Wegera Southern Ziquala Woreda Boundary Metema Gonder Sekota Endamehoni Raya Wag Azebo Chilga Yalo Amhara East Ofla Teru West Belesa Himra Kurri Gonder Dehana Belesa Lake Dembia Zuria Gaz Alamata Zone 4 Quara Gibla Semera Elidar Takusa Libo Ebenat Gulina Kemkem Bugna Lasta Kobo Awra Afar Gidan Lake Tana South (Ayna) 0 50 100 200 km Ewa Alfa Fogera Gonder North ¹ Lay Zone 1 Farta Meket Guba Lafto Dubti Gayint Asayta Semen Wollo P Jawi Achefer Tach Habru Chifra Bahr Dar East Wadla Delanta G U L F O F A D E N P Gayint Aysaita Creation date:14 Jan.2011 Dera Esite Bahirdar Ambasel Map Doc Name:21_ADM_000_ETH_011411_A0 -
Sustainable Wetland Management in Illubabor Zone
Ethiopian Wetlands Research Programme Sustainable Wetland Management in Illubabor Zone EU Project B7-6200/96-05/VIII/ENV Research Report Summaries A collaborative project involving the University of Huddersfield and Addis Ababa University, with the University of East Anglia and IUCN - East Africa Regional Office. Edited by Adrian Wood and Alan Dixon This study was achieved with the financial contribution of the European Union’s Environment in Development Countries Budget Line (B7-6200). The authors are solely responsible for opinions expressed in this document, and they do not necessarily reflect those of the European Union. Sustainable Wetland Management in Illubabor Zone EU Project B7-6200/96-05/VIII/ENV Research Report Summaries Edited by Adrian Wood and Alan Dixon Wetlands and Natural Resources Research Group, University of Huddersfield A collaborative project involving the University of Huddersfield and Addis Ababa University, with the University of East Anglia and IUCN - East Africa Regional Office. ISBN 186218 0350 This study was achieved with the financial contribution of the European Union’s Environment in Development Countries Budget Line (B7-6200). The authors are solely responsible for opinions expressed in this document, and they do not necessarily reflect those of the European Union. © Wetland Action 2000 1 Contents Page Introduction 3 Nature, extent and trends in wetland drainage and use in Illubabor Zone, South-west 7 Ethiopia – Afework Hailu, Alan Dixon & Adrian Wood The hydrology of wetlands in Illubabor Zone – Declan -
Economic Implication of Modern Behive at Gechi District, Southwestern Ethiopia
Journal of Agricultural Economics and Development Vol. 7(2), pp. 006-010, July 2019 Available online at http://academeresearchjournals.org/journal/jaed ISSN 2327-3151 ©2019 Academe Research Journals Full Length Research Paper Economic implication of modern behive at Gechi district, Southwestern Ethiopia Esayas Negasa Hambisa Department of Agribusiness and Value Chain Management, Mettu University, P. O. Box: 318, Mettu, Ethiopia. *Corresponding author. Email: [email protected] Accepted 31 March, 2019 This study was conducted to analyze economic importance of modern bee hive at household level in Gechi District of Buno Bedele zone, Southwestern Ethiopia with an objectives of comparing modern and traditional beekeepers in economic benefit, identifing the determinants of modern beehive use and level of income and evaluate the implication of modern beehive in social issues at household level. Multi-stage random sampling technique was implemented to select the representative sample techniques. Both the primary and secondary data was used during data collection. A total of 60 household from three kebeles were selected for interview. Data obtained were analyzed using descriptive statistics and econometrics analysis. Heckman regression a method is used to analysis the determinants of modern beekeeping use and level of income. The results of the study indicated that driving force to have bee colonies comprises 93.5% for income and 6.5% for consumption purpose. It showed that the average income of households with modern beekeeping (Birr 4570.4/household) was significantly (p<0.01) higher than those households with traditional beekeeping (Birr 1804.8/household). Despite relative investment in using modern beekeeping, households’ gross income increased by 250% compared to the traditional beekeepers.