Proportion and Determinants of Facility-Based Childbirth in Kombolcha Woreda, Oromia Regional State, Ethiopia: a Community Based Cross- Sectional Study
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ETHIOPIA - National Hot Spot Map 31 May 2010
ETHIOPIA - National Hot Spot Map 31 May 2010 R Legend Eritrea E Tigray R egion !ª D 450 ho uses burned do wn d ue to th e re ce nt International Boundary !ª !ª Ahferom Sudan Tahtay Erob fire incid ent in Keft a hum era woreda. I nhabitan ts Laelay Ahferom !ª Regional Boundary > Mereb Leke " !ª S are repo rted to be lef t out o f sh elter; UNI CEF !ª Adiyabo Adiyabo Gulomekeda W W W 7 Dalul E !Ò Laelay togethe r w ith the regiona l g ove rnm ent is Zonal Boundary North Western A Kafta Humera Maychew Eastern !ª sup portin g the victim s with provision o f wate r Measle Cas es Woreda Boundary Central and oth er imm ediate n eeds Measles co ntinues to b e re ported > Western Berahle with new four cases in Arada Zone 2 Lakes WBN BN Tsel emt !A !ª A! Sub-city,Ad dis Ababa ; and one Addi Arekay> W b Afa r Region N b Afdera Military Operation BeyedaB Ab Ala ! case in Ahfe rom woreda, Tig ray > > bb The re a re d isplaced pe ople from fo ur A Debark > > b o N W b B N Abergele Erebtoi B N W Southern keb eles of Mille and also five kebeles B N Janam ora Moegale Bidu Dabat Wag HiomraW B of Da llol woreda s (400 0 persons) a ff ected Hot Spot Areas AWD C ases N N N > N > B B W Sahl a B W > B N W Raya A zebo due to flo oding from Awash rive r an d ru n Since t he beg in nin g of th e year, Wegera B N No Data/No Humanitarian Concern > Ziquala Sekota B a total of 967 cases of AWD w ith East bb BN > Teru > off fro m Tigray highlands, respective ly. -
Local History of Ethiopia Ma - Mezzo © Bernhard Lindahl (2008)
Local History of Ethiopia Ma - Mezzo © Bernhard Lindahl (2008) ma, maa (O) why? HES37 Ma 1258'/3813' 2093 m, near Deresge 12/38 [Gz] HES37 Ma Abo (church) 1259'/3812' 2549 m 12/38 [Gz] JEH61 Maabai (plain) 12/40 [WO] HEM61 Maaga (Maago), see Mahago HEU35 Maago 2354 m 12/39 [LM WO] HEU71 Maajeraro (Ma'ajeraro) 1320'/3931' 2345 m, 13/39 [Gz] south of Mekele -- Maale language, an Omotic language spoken in the Bako-Gazer district -- Maale people, living at some distance to the north-west of the Konso HCC.. Maale (area), east of Jinka 05/36 [x] ?? Maana, east of Ankar in the north-west 12/37? [n] JEJ40 Maandita (area) 12/41 [WO] HFF31 Maaquddi, see Meakudi maar (T) honey HFC45 Maar (Amba Maar) 1401'/3706' 1151 m 14/37 [Gz] HEU62 Maara 1314'/3935' 1940 m 13/39 [Gu Gz] JEJ42 Maaru (area) 12/41 [WO] maass..: masara (O) castle, temple JEJ52 Maassarra (area) 12/41 [WO] Ma.., see also Me.. -- Mabaan (Burun), name of a small ethnic group, numbering 3,026 at one census, but about 23 only according to the 1994 census maber (Gurage) monthly Christian gathering where there is an orthodox church HET52 Maber 1312'/3838' 1996 m 13/38 [WO Gz] mabera: mabara (O) religious organization of a group of men or women JEC50 Mabera (area), cf Mebera 11/41 [WO] mabil: mebil (mäbil) (A) food, eatables -- Mabil, Mavil, name of a Mecha Oromo tribe HDR42 Mabil, see Koli, cf Mebel JEP96 Mabra 1330'/4116' 126 m, 13/41 [WO Gz] near the border of Eritrea, cf Mebera HEU91 Macalle, see Mekele JDK54 Macanis, see Makanissa HDM12 Macaniso, see Makaniso HES69 Macanna, see Makanna, and also Mekane Birhan HFF64 Macargot, see Makargot JER02 Macarra, see Makarra HES50 Macatat, see Makatat HDH78 Maccanissa, see Makanisa HDE04 Macchi, se Meki HFF02 Macden, see May Mekden (with sub-post office) macha (O) 1. -
In Search of Shelter the Case of Hawassa, Ethiopia
In search of shelter The case of Hawassa, Ethiopia Emma Grant, Gemechu Desta, Yeraswork Admassie, Faraz Hassan, Sophie Stevens and Meheret Ayenew Working Paper Urban Keywords: January 2020 Urbanisation, Informal Settlements, Urban Poverty, Housing About the authors Emma Grant, senior expert, Social Development Direct Gemechu Desta, executive director, Econvalue Consult Yeraswork Admassie, former associate professor of sociology, Addis Ababa University Faraz Hassan, senior urban specialist, Social Development Direct Sophie Stevens, principal consultant, Social Development Direct Meheret Ayenew, senior public policy researcher Acknowledgements With special thanks to Kussia Bekele, senior civil society advisor and research assistant. All photos were taken by members of the Ethiopia research team. The research was funded by the UK Department for International Development’s East Africa Research Fund (EARF) and contributed to the EARF’s research programme: Shaping East African Cities as Systems to Work Better for All. This material has been funded by UK aid from the UK government. However, the views expressed do not necessarily reflect the UK government’s official policies. Produced by IIED’s Human Settlements group The Human Settlements Group works to reduce poverty and improve health and housing conditions in the urban centres of Africa, Asia and Latin America. It seeks to combine this with promoting good governance and more ecologically sustainable patterns of urban development and rural-urban linkages. About Econvalue Consult Econvalue Consult offers advanced policy research expertise on a range of social and economic topics. About Social Development Direct Social Development Direct (SDDirect) provides high-quality, innovative and expert social development assistance and research services. Published by IIED, January 2020 Grant, E, Desta, G, Admassie, Y, Hassan, F, Stevens, S and Ayenew, M (2019) In search of shelter: the case of Hawassa, Ethiopia. -
Ecological Zones of Ethiopia: a Parametric Approach
Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.5, No.3, 2014 Smallholder Wheat Production Efficiency in Selected Agro- ecological Zones of Ethiopia: A Parametric Approach Tolesa Alemu 1* , Bezabih Emana 2, Jema Haji 1, and Belaineh Legesse 1 1. School of Agricultural Economics & Agribusiness, Haramaya University, Ethiopia 2. General Manager, HEDBED Business & Consultancy PLC, Addis Ababa, Ethiopia * E-mail of the corresponding author: [email protected] Abstract Wheat productivity is very low in Ethiopia. Improving production efficiency is one of the options for enhancing wheat productivity. To identify the level of production efficiency and sources of inefficiencies, this study was carried out in three major wheat producing agro-ecologies. It used cross-sectional data collected from randomly selected 381 farm households for 2012/13 cropping season. A Cobb-Douglas Production Function and Stochastic Frontier Analysis were employed to achieve the objectives. The study found considerable variation in production efficiency among agro-ecologies and within agro-ecology. The mean technical efficiency estimates for lowland, midland and highland agro-ecologies were 57 percent, 82 percent and 78 percent, respectively. The technical efficiency ranges from 24.4 to 88.6 percents in the lowland, 51.6 to 94.4 percents in the midland, and 34.5 to 94.3 percents in the highland agro-ecologies. There is more capacity to increase wheat yield given the current state of technology and input levels. Wheat output elasticities associated with land, labor, chemical fertilizers and other inputs (seed and pesticides) were positive and significant in the lowland whereas in mid and highland agro- ecologies, output elasticities of land and chemical fertilizers were significant. -
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 -
Effect of Land Use and Land Cover Change on Soil Erosion in Erer Sub
land Article Effect of Land Use and Land Cover Change on Soil Erosion in Erer Sub-Basin, Northeast Wabi Shebelle Basin, Ethiopia Gezahegn Weldu Woldemariam 1,* and Arus Edo Harka 2 1 Geoinformation Science Program, School of Geography and Environmental Studies, Haramaya University, P.O. Box 138, 3220 Dire Dawa, Ethiopia 2 Hydraulic and Water Resources Engineering Department, School of Water Resources and Environmental Engineering, Haramaya Institute of Technology (HiT), Haramaya University, P.O. Box 138, 3220 Dire Dawa, Ethiopia; [email protected] * Correspondence: [email protected]; Tel.: +251-091-096-1491 Received: 1 July 2019; Accepted: 10 August 2019; Published: 5 April 2020 Abstract: Land use and land cover change (LULCC) is a critical factor for enhancing the soil erosion risk and land degradation process in the Wabi Shebelle Basin. Up-to-date spatial and statistical data on basin-wide erosion rates can provide an important basis for planning and conservation of soil and water ecosystems. The objectives of this study were to examine the magnitude of LULCC and consequent changes in the spatial extent of soil erosion risk, and identify priority areas for Soil and Water Conservation (SWC) in the Erer Sub-Basin, Wabi Shebelle Basin, Ethiopia. The soil loss rates were estimated using an empirical prediction model of the Revised Universal Soil Loss Equation (RUSLE) outlined in the ArcGIS environment. The estimated total annual actual soil loss at the sub-basin level was 1.01 million tons in 2000 and 1.52 million tons in 2018 with a mean erosion rate of 1 1 1 1 75.85 t ha− y− and 107.07 t ha− y− , respectively. -
AKLDP Indebtedness Oromia Final
El Niño and Indebtedness in Ethiopia Impacts of drought on household debts in Oromia National Regional State Early impacts of drought in Oromia National Regional State Introduction In Ethiopia in 2015 and 2016 a major drought affected the country, caused by failed spring belg rains in 2015, followed by erratic and poor summer kiremt rains associated with El Niño the same year. AKLDP Field Notes described the early impacts of the drought on rain-fed smallholder farming communities, including in East and West Hararghe zones of Oromia National Regional State.i These impacts included stress sales due to a decline in income from agricultural production, and reduced purchasing power due to the declining terms of trade of cereals versus livestock. In these Field Notes the AKLDP explores the impact of the 2015 El Niño episode on household indebtedness in two drought-affected areas of Oromia region in Ethiopia. Methodology The study was conducted in June 2016 in two severely drought affected woredas in Oromia, namely Dodota in Arsi Zone and Babile in East Hararghe Zone. In Ethiopia there is a large-scale social protection program called the Productive Safety Net Programme (PSNP), which includes capacity to provide additional support to households affected by crises through food or cash transfers. Households in a drought-affected area might receive support from the PSNP, or more typical emergency assistance. Therefore, the study also assessed indebtedness in PSNP and non-PSNP households. The fieldwork included visits to drought affected communities and used: • focus group discussions – 6 with non-PSNP households and 6 with PSNP households • individual interviews using a questionnaire – 90 households in Dodota and 100 households in Babile woreda • interviews with kebele and woreda officials in each location. -
Prevalence of Institutional Delivery and Associated Factors in Dodota Woreda (District), Oromia Regional State, Ethiopia Addis Alem Fikre1 and Meaza Demissie2*
Fikre and Demissie Reproductive Health 2012, 9:33 http://www.reproductive-health-journal.com/content/9/1/33 RESEARCH Open Access Prevalence of institutional delivery and associated factors in Dodota Woreda (district), Oromia regional state, Ethiopia Addis Alem Fikre1 and Meaza Demissie2* Abstract Background: Giving birth in a medical institution under the care and supervision of trained health-care providers promotes child survival and reduces the risk of maternal mortality. According to Ethiopian Demographic and Health Survey (EDHS) 2005 and 2011, the proportion of women utilizing safe delivery service in the country in general and in Oromia region in particular is very low. About 30% of the eligible mothers received Ante Natal Care (ANC) service and only 8% of the mothers sought care for delivery in the region. The aim of this study is to determine the prevalence of institutional delivery and understand the factors associated with institutional delivery in Dodota, Woreda, Oromia Region. Methods: A community based cross sectional study that employed both quantitative and a supplementary qualitative method was conducted from Jan 10–30, 2011 in Dodota Woreda. Multi stage sampling method was used in selection of study participants and total of 506 women who gave birth in the last two years were interviewed. Qualitative data was collected through focus group discussions (FGDs). Data was entered and analyzed using EPI info 3.5.1 and SPSS version 16.0. Frequencies, binary and multiple logistic regression analysis were done, OR and 95% confidence interval were calculated. Results: Only 18.2% of the mothers gave birth to their last baby in health facilities. -
Xerox University Microfilms
INFORMATION TO USERS This material was produced from a microfilm copy of the original document. While the most advanced technological means to photograph and reproduce this document have been used, the quality is heavily dependent upon the quality of the original submitted. The following explanation of techniques is provided to help you understand markings or patterns which may appear on this reproduction. 1. The sign or "target" for pages apparently lacking from the document photographed is "Missing Page(s)". If it was possible to obtain the missing page(s) or section, they are spiiced into the film along with adjacent pages. This may have necessitated cutting thru an image and duplicating adjacent pages to insure you complete continuity. 2. When an image on the film is obliterated with a large round black mark, it is an indication that the photographer suspected that the copy may have moved during exposure and thus cause a blurred image. You will find a good image of the page in the adjacent frame. 3. When a map, drawing or chart, etc., was part of the material being photographed the photographer followed a definite method in "sectioning" the material. It is customary to begin photoing at the upper left hand corner of a large sheet and to continue photoing from left to right in equal sections with a small overlap. If necessary, sectioning is continued again — beginning below the first row and continuing on until complete. 4. The majority of users indicate that the textual content is of greatest value, however, a somewhat higher quality reproduction could be made from "photographs" if essential to the understanding of the dissertation. -
Trends in TB Case Notification Over
Hamusse et al. BMC Public Health 2014, 14:304 http://www.biomedcentral.com/1471-2458/14/304 RESEARCH ARTICLE Open Access Trends in TB case notification over fifteen years: the case notification of 25 Districts of Arsi Zone of Oromia Regional State, Central Ethiopia Shallo Daba Hamusse1,3*, Meaza Demissie2 and Bernt Lindtjørn3 Abstract Background: The aims of tuberculosis (TB) control programme are to detect TB cases and treat them to disrupt transmission, decrease mortality and avert the emergence of drug resistance. In 1992, DOTS strategy was started in Arsi zone and since 1997 it has been fully implemented. However, its impact has not been assessed. The aim of this study was, to analyze the trends in TB case notification and make a comparison among the 25 districts of the zone. Methods: A total of 41,965 TB patients registered for treatment in the study area between 1997 and 2011 were included in the study. Data on demographic characteristics, treatment unit, year of treatment and disease category were collected for each patient from the TB Unit Registers. Results: The trends in all forms of TB and smear positive pulmonary TB (PTB+) case notification increased from 14.3 to 150 per 100,000 population, with an increment of 90.4% in fifteen years. Similarly, PTB+ case notification increased from 6.9 to 63 per 100,000 population, an increment of 89% in fifteen years. The fifteen-year average TB case notification of all forms varied from 60.2 to 636 (95% CI: 97 to 127, P<0.001) and PTB+ from 10.9 to 163 per 100,000 population (95% CI: 39 to 71, p<0.001) in the 25 districts of the zone. -
Gobele Catchment Integrated Landscape Management Plan in Babile Elephant Sanctuary
Gobele Catchment Integrated Landscape Management Plan in Babile Elephant Sanctuary Prepared as part of the “Enhanced Management and Enforcement of Ethiopia’s Protected Area Estate Project” Addis Ababa, November, 2019 1 | P a g e Table of Contents 1. Introduction and Background ................................................................................ 4 1.1. Protected Area management and biodiversity conservation in Ethiopia ............. 4 1.2. Brief Description of the Babile Elephant Sanctuary ............................................ 5 1.3. Integrated landscape management approach .................................................... 6 1.4. Selection of the Gobele catchment landscape for the ILM intervention .............. 6 2. Existing Situation of the Gobele Catchment landscape ...................................... 8 2.1. Location and description of the landscape ......................................................... 8 2.2. Land use land cover ........................................................................................... 9 2.3. Topography and agro-climatic zones ............................................................... 10 2.4. Geology and Soils ............................................................................................ 13 2.5. Climate and Surface hydrology ........................................................................ 13 2.6. Natural Vegetation Types and Diversity ........................................................... 15 2.6.1. The Acacia-Comiphora Woodland and Bushland