Annual Report 2019
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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 -- -
Situational Analysis of Child Sexual Abuse and Exploitation: the Case of Jimma and Agaro Towns of Oromia Regional State
European Scientific Journal September 2014 edition vol.10, No.26 ISSN: 1857 – 7881 (Print) e - ISSN 1857- 7431 SITUATIONAL ANALYSIS OF CHILD SEXUAL ABUSE AND EXPLOITATION: THE CASE OF JIMMA AND AGARO TOWNS OF OROMIA REGIONAL STATE Gudina Abashula Nega Jibat Jimma University, College of Social Sciences and Humanities, Department of Sociology and Social Work Abstract This study was conducted to assess people’s awareness, patterns, community responses and factors for child sexual abuse and exploitation in Jimma and Agaro town. Survey, key informant interview and case studies were used to collect the information required for the study. The data collected was analyzed using percentages and case studies under themes developed based on the research objectives. The findings of the study revealed that eighty nine percent of the respondents are aware of the existence of child sexual abuse in their community and more than half of them have identified sexual intercourse with children, child pornography and child genital stimulation as child sexual abuses. Both girls and boys can be exposed to child sexual abuse; however, girls are more vulnerable to child sexual abuses than boys. In terms of their backgrounds, street children, orphans and children of the poor families are mainly vulnerable to child sexual abuse. Children are sexually abused in their home, in the community and in organizations as the findings from the case studies and key informant interviews indicated. Death of parents, family poverty and the subsequent inability to fulfill the necessary basic needs for children; abusers’ perception about sexual affairs with children is safe as they think children are free from HIV/AIDS, lack of appropriate care and follow up for children are the major factors for child sexual abuse. -
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 -
Challenges of Clinical Chemistry Analyzers Utilization in Public Hospital Laboratories of Selected Zones of Oromia Region, Ethiopia: a Mixed Methods Study
Research Article ISSN: 2574 -1241 DOI: 10.26717/BJSTR.2021.34.005584 Challenges of Clinical Chemistry Analyzers Utilization in Public Hospital Laboratories of Selected Zones of Oromia Region, Ethiopia: A Mixed Methods Study Rebuma Belete1*, Waqtola Cheneke2, Aklilu Getachew2 and Ahmedmenewer Abdu1 1Department of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia 2School of Medical Laboratory Sciences, Faculty of Health Sciences, Institute of Health, Jimma University, Jimma, Ethiopia *Corresponding author: Rebuma Belete, Department of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia ARTICLE INFO ABSTRACT Received: March 16, 2021 Background: The modern practice of clinical chemistry relies ever more heavily on automation technologies. Their utilization in clinical laboratories in developing countries Published: March 22, 2021 is greatly affected by many factors. Thus, this study was aimed to identify challenges affecting clinical chemistry analyzers utilization in public hospitals of selected zones of Oromia region, Ethiopia. Citation: Rebuma Belete, Waqtola Cheneke, Aklilu Getachew, Ahmedmenew- Methods: A cross-sectional study using quantitative and qualitative methods er Abdu. Challenges of Clinical Chemistry was conducted in 15 public hospitals from January 28 to March 15, 2019. Purposively Analyzers Utilization in Public Hospital selected 68 informants and 93 laboratory personnel working in clinical chemistry section Laboratories of Selected Zones of Oromia were included in the study. Data were collected by self-administered questionnaires, Region, Ethiopia: A Mixed Methods Study. in-depth interviews and observational checklist. The quantitative data were analyzed Biomed J Sci & Tech Res 34(4)-2021. by descriptive statistics using SPSS 25.0 whereas qualitative data was analyzed by a BJSTR. -
Historical Survey of Limmu Genet Town from Its Foundation up to Present
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 6, ISSUE 07, JULY 2017 ISSN 2277-8616 Historical Survey Of Limmu Genet Town From Its Foundation Up To Present Dagm Alemayehu Tegegn Abstract: The process of modern urbanization in Ethiopia began to take shape since the later part of the nineteenth century. The territorial expansion of emperor Menelik (r. 1889 –1913), political stability and effective centralization and bureaucratization of government brought relative acceleration of the pace of urbanization in Ethiopia; the improvement of the system of transportation and communication are identified as factors that contributed to this new phase of urban development. Central government expansion to the south led to the appearance of garrison centers which gradually developed to small- sized urban center or Katama. The garrison were established either on already existing settlements or on fresh sites and also physically they were situated on hill tops. Consequently, Limmu Genet town was founded on the former Limmu Ennarya state‘s territory as a result of the territorial expansion of the central government and system of administration. Although the history of the town and its people trace many year back to the present, no historical study has been conducted on. Therefore the aim of this study is to explore the history of Limmu Genet town from its foundation up to present. Keywords: Limmu Ennary, Limmu Genet, Urbanization, Development ———————————————————— 1. Historical Background of the Study Area its production. The production and marketing of forest coffee spread the fame and prestige of Limmu Enarya ( The early history of Limmu Oromo Mohammeed Hassen, 1994). The name Limmu Ennarya is The history of Limmu Genet can be traced back to the rise derived from a combination of the name of the medieval of the Limmu Oromo clans, which became kingdoms or state of Ennarya and the Oromo clan name who settled in states along the Gibe river basin. -
Sediment Yield Source Identification in Gilgel Gibe-I Catchment Using GIS-Based RUSLE and SEDD Models for Soil Conservation Planning, South West Ethiopia
Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) DOI: 10.7176/JEES Vol.9, No.2, 2019 Sediment Yield Source Identification in Gilgel Gibe-I Catchment Using GIS-based RUSLE and SEDD Models for Soil Conservation Planning, South West Ethiopia Gizaw Tesfaye 1 Degefie Tibebe 2 1.Ethiopian Institute of Agricultural Research, Jima Agricultural Research Center; P.O.Box. 192 2.Ethiopian Institute of Agricultural Research, Climate , Geospatial and Biometerics Research Directorate, P.O.Box 2003, Addis Ababa, Ethiopia Abstract Onsite and off-site effects of soil erosion are the biggest global environmental problems. Some of the offsite problems are silting of dams and reservoir, disruption of lake ecosystems, and increased downstream flooding. Gilgel Gibe-1 catchment has been also subjected to sedimentation and other offsite problems. This study was aimed to identify the source of sediment yield in Gilgel Gibe-1 catchment using GIS-based RUSLE and SEDD models for soil conservation planning. Primary and secondary data from different sources were used to estimate soil loss from the catchment using GIS-based RUSLE model. Rainfall-runoff erosivity, soil erodibility, topographic effect, surface coverage, and land management practice of the catchment were used as an input to RUSLE model. Sediment Delivery Ratio was estimated using the SEDD model. The result of this study shows the mean annual soil loss of the catchment is 62.98 t ha -1year -1 which are about 26.56x106 t year -1 and the mean sediment delivery ratio is 0.1367. The mean annual sediment yield of the catchment is 8.61t ha -1year -1 and the overall catchment area contributes about 3.63x106t year -1sediment to the reservoir at the dam site. -
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. -
Ethiopia Bellmon Analysis 2015/16 and Reassessment of Crop
Ethiopia Bellmon Analysis 2015/16 And Reassessment Of Crop Production and Marketing For 2014/15 October 2015 Final Report Ethiopia: Bellmon Analysis - 2014/15 i Table of Contents Acknowledgements ................................................................................................................................................ iii Table of Acronyms ................................................................................................................................................. iii Executive Summary ............................................................................................................................................... iv Introduction ................................................................................................................................................................ 9 Methodology .................................................................................................................................................. 10 Economic Background ......................................................................................................................................... 11 Poverty ............................................................................................................................................................. 14 Wage Labor ..................................................................................................................................................... 15 Agriculture Sector Overview ............................................................................................................................ -
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 ........................................................................................................................ -
The Coffee-Food Security Interface for Subsistence Households in Jimma Zone Ethiopia
The Coffee-Food Security Interface for Subsistence Households in Jimma Zone Ethiopia John C. Beghin Yalem Teshome* North Carolina State University Department of Agricultural and Resource Economics Working Paper No. 17-002 July 2016 The Coffee-Food Security Interface for Subsistence Households in Jimma Zone Ethiopia John C. Beghin Yalem Teshome* Abstract: We investigate food security in three villages in rural Ethiopia for smallholder farmers growing staple crops and coffee, and facing variable coffee and commercial input prices. The surveys were conducted in the coffee growing region of Oromia (Jimma Zone). Commercial input use among these smallholders remains sporadic, although most farmers use them occasionally. A major impediment to systematic usage is the price of these inputs. Policies lowering the unit cost and increasing the local availability of commercial inputs would be useful to systematically boost production and income generation. These smallholders rely on a major coffee cooperative to market their coffee. The cooperative helps with transportation and easing market participation decisions—it provides better prices and some market information. Many farmers rely on credit and banking services offered by the cooperative. The food insecure households are more likely to be led by a female head and to be constrained by extremely small land holdings than food-secure households. These food insecure households tend to work outside of their own farm more often than food-secure households, but in lower-return activities. In our sample, food shortages and household size do not seem to be related, although food shortages are less likely in households with more children. Despite the fast growing economy of Ethiopia, many of these households still face considerable impediments to improve their economic livelihoods and market participation because of bad roads, poor telecommunication infrastructure and limited land. -
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. -
Characterization of Livestock Production System in Three Selected Districts of Jimma Zone, Southwest Ethiopia
Journal of Reproduction and Infertility 7 (2): 47-62, 2016 ISSN 2079-2166 © IDOSI Publications, 2016 DOI: 10.5829/idosi.jri.2016.7.2.102165 Characterization of Livestock Production System in Three Selected Districts of Jimma Zone, Southwest Ethiopia 12Mohammed Husen, Yisehak Kechero and 3Meseret Molla 1Ethiopian Agricultural Transformation Agency, P.O. Box: 708, Addis Ababa, Ethiopia 2Department of Animal Sciences, Arba Minch University, Arba Minch, Ethiopia 3Department of Animal Sciences, Jimma University, P.O. Box: 307, Jimma, Ethiopia Abstract: The cross-sectional field survey was conducted in three selected districts of Jimma zone with the aim of characterizing the prevailing livestock production systems as well as identifying the major constraints and opportunities in relation to livestock production. The study districts were selected based on their livestock production potential and accessibility. Accordingly, 122, 188 and 104 households (HHs) from Kersa, Omo Nada and Tiro Afeta districts, respectively were participated in the study. The respondent HHs were purposively selected depending on their livestock keeping experience. This study revealed that livestock production systems in the three districts were mixed crop-livestock production system which is totally based on the indigenous livestock breeds with no improved input and low output. The average number of livestock in terms of tropical livestock units (TLU) in the three districts was 5.10±0.32/HH, which varied significantly (P<0.01) between the districts. Overall, the herd structure comprised of cattle (4.74±0.24 TLU/HH) (P<0.05), sheep (0.10±0.01 TLU/HH), goats (0.06±0.01 HH), donkey (0.07±0.02 TLU/HH) (P<0.05), horses (0.05±0.02 TLU/HH) and mule (0.06±0.03 TLU/HH).