Do They Really Behave Differently? Implications for Maternal and Child Healthy Behavior Diffusi
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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 -- -
Cost and Benefit Analysis of Dairy Farms in the Central Highlands of Ethiopia
Ethiop. J. Agric. Sci. 29(3)29-47 (2019) Cost and Benefit Analysis of Dairy Farms in the Central Highlands of Ethiopia Samuel Diro1, Wudineh Getahun1, Abiy Alemu1, Mesay Yami2, Tadele Mamo1 and Takele Mebratu1 1 Holetta Agricultural Research Center; 2Sebeta National Fishery Research አህፅሮት ይህ ጥናት የወተት ላም የወጪ-ገቢ ትንተና ለማድረግ የታቀደ ነዉ፡፡ ጥናቱ ከ35 ትናንሽ እና 25 ትላልቅ የወተት ፋርሞች ላይ የተደረገ ነዉ፡፡ መረጃዉ ከአራት እስከ ስድስት ተከታታይ ወራት የተሰበሰበ ስሆን ይህን መረጃ ለማጠናከር የወተት ፋርሞች መልካም አጋጣሚዎችና ተግዳሮቶች ተሰብስቧል፡፡ መረጃዉ የተሰበሰበዉ ፋርሙ ዉስጥ ካሉት ሁሉም የዲቃላ የወተት ላሞች ነዉ፡፡ የዚህ ምርምር ግኝት እንደሚያመለክተዉ 80 ፐርሰንት የሚሆነዉ የወተተወ ላሞች ወጪ ምግብ ነዉ፡፡ ትናንሽ ፋርሞች ከትላልቅ ፋርሞች 35 ፐርሰንት የበለጠ ወጪ ያወጣሉ፤ ነገር ግን ትላልቅ ፋርሞች ከትናንሽ ፋርሞች በ55 ፐርሰንት የበለጠ ዓመታዉ ትቅም ያገኛሉ፡፡ ትልቁ የወተት ላሞች ገቢ ከወተት ስሆን የጥጃ ገቢም በተከታይነት ትልቅ ቦታ የሚሰጠዉ ነዉ፡፡ በዚህ ጥናት ግኝት መሰረት የትላልቅ ፋርሞች ያልተጣራ ማርጂን ከትናንሽ ፋርሞች በሦስት እጥፍ እንደሚበልጥ ተረጋግጧል፡፡ የጥቅም-ወጪ ንፅፅር 1.43 እና 2.24 ለትናንሽና ለትላልቅ የወተት ፋርሞች በቅድመ ተከተል እንደሆነ ጥናቱ ያመለክታል፡፡ ይህም ትላልቅ ፋርሞች ከትናንሽ ፋርሞች የበለጠ ትርፋማ እንደሆኑ ያሚያሳይ ነዉ፡፡ የማስፋፍያ መሬት እጥረት፣ የብድር አገልግሎት አለመኖር፣ የሞያዊ ድጋፍ አለመኖር፣ የመኖና የመድሃኒት ዋጋ ንረት፣ ከፍተኛ የወት ዋጋ መለያየት፣ የማዳቀል አገልግሎት ዉጤታማ ያለመሆን፣ የጽንስ መጨናገፍ በፋርሞቹ ባለቤቶች የተነሱ ተግዳሮቶች ናቸዉ፡፡ በዚህ መሰረት ምርታማነታቸዉ ዝቅተኛ የሆኑትን ላሞች ማስወገድ፤ የላሞች ቁጥር ማብዛት፣ በስልጠና የፋርሞቹን ባለቤቶችና የማዳቀል አገልግሎት የሚሰጡትን አካላት ማብቃትና የገብያ ትስስር ማጠናከር፣ አርሶ-አደሩን በመደራጀት የመኖ ማቀነባበርያ መትከል አስፈላጊ እንደሆነ ይህ ጥናት ምክረሃሳብ ያቀርባል፡፡ Abstract This study was conducted to estimate costs and gross profits of dairy farms under small and large diary management in central highlands of Ethiopia. -
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 -
Prevalence of Bovine Cysticercosis at Holeta Municipality Abattoir and Taenia Saginata at Holeta Town and Its Surroundings, Central Ethiopia
Research Article Journal of Veterinary Science & Technology Volume 12:3, 2020 ISSN: 2157-7579 Open Access Prevalence of Bovine Cysticercosis at Holeta Municipality Abattoir and Taenia Saginata at Holeta Town and its Surroundings, Central Ethiopia Seifu Hailu* Ministry of Agriculture, Addis Ababa, Ethiopia Abstract A cross section study was conducted during November 2011 to March 2012 to determine the prevalence of Cysticercosis in animals, Taeniasis in human and estimate the worth of Taeniasis treatment in Holeta town. Active abattoir survey, questionnaire survey and inventories of pharmaceutical shops were performed. From the total of 400 inspected animals in Holeta municipality abattoir, 48 animals had varying number of C. bovis giving an overall prevalence 12% (48/400). Anatomical distribution of the cyst showed that highest proportions of C. bovis cyst were observed in tongue, followed by masseter, liver and shoulder heart muscles. Of the total of 190 C. bovis collected during the inspection, 89(46.84%) were found to be alive while other 101 (53.16%) were dead cysts. Of the total 70 interviewed respondents who participated in this study, 62.86% (44/70) had contract T. saginata Infection, of which, 85% cases reported using modern drug while the rest (15%) using traditional drug. The majority of the respondent had an experience of raw meat consumption as a result of traditional and cultural practice. Human Taeniasis prevalence showed significant difference (p<0.05) with age, occupational risks and habit of raw meat consumption. Accordingly individuals in the adult age groups, occupational high risk groups and habit of raw meat consumers had higher odds of acquiring Taeniasis than individuals in the younger age groups, occupational law risk groups and cooked meat consumers, respectively. -
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 -
Ethiopia: Floods
Emergency Plan of Action (EPoA) Ethiopia: Floods DREF n° MDRET018 Glide n° FL-2017-000139-ETH nd For DREF; Date of issue: 22 September 2017 Expected timeframe: Three months Expected end date: 8 December 2017 Project Manager/Budget Manager IFRC: This person is National Society Focal Point: This person is responsible for the compliance, reporting and responsible for the compliance, reporting and implementation of the operation from IFRC. implementation of the operation from ERCS. Andreas SANDIN- Operation Coordinator Engida Mandefro- Deputy Secretary General- DRM DREF allocated: CHF 269,051 Total number of people affected: Number of people to be assisted: 2,103 HHs (10,515 1 Floods: 18,628 HHs (93,140 people) people) Civil unrest: 45,000 HHs (225,000 people) Host National Society presence (n° of volunteers, staff, branches): Ethiopian Red Cross Society (ERCS), has 11 Regional branches, 33 Zones, 80 Districts structures, with 1,300 staff, and over 3,000 grass root committees and 29,331 youth and adult volunteers through the country. A total of 168 BDRTs and 16 NDRTs have also been trained. Red Cross Red Crescent Movement partners actively involved in the operation: Austrian Red Cross, Canadian Red Cross, Finnish Red Cross, ICRC, IFRC, Netherlands Red Cross and Spanish Red Cross. Other partner organizations actively involved in the operation: IOM, International Rescue Committee, National Disaster Risk Management Commission and UNICEF. A. Situation analysis Description of the disaster In Ethiopia, rainfall attributed to the Kiremt rains, which began on 8 September 2017 has led to extensive flooding. The Ambeira zone in Afar region, and special zones surrounding Addis Ababa (the capital), Jima, South-east Shewa, and South-west Shewa in the Oromia region have been worst affected by the rains and flooding. -
Addis Ababa City Structure Plan
Addis Ababa City Structure Plan DRAFT FINAL SUMMARY REPORT (2017-2027) AACPPO Table of Content Part I Introduction 1-31 1.1 The Addis Ababa City Development Plan (2002-2012) in Retrospect 2 1.2 The National Urban System 1.2 .1 The State of Urbanization and Urban System 4 1.2 .2 The Proposed National Urban System 6 1.3 The New Planning Approach 1.3.1 The Planning Framework 10 1.3.2 The Planning Organization 11 1.3.3 The Legal framework 14 1.4 Governance and Finance 1.4.1 Governance 17 1.4.2 Urban Governance Options and Models 19 1.4.3 Proposal 22 1.4.4 Finance 24 Part II The Structure Plan 32-207 1. Land Use 1.1 Existing Land Use 33 1.2 The Concept 36 1.3 The Proposal 42 2. Centres 2.1 Existing Situation 50 2.2 Hierarchical Organization of Centres 55 2.3 Major Premises and Principles 57 2.4 Proposals 59 2.5 Local development Plans for centres 73 3. Transport and the Road Network 3.1 Existing Situation 79 3.2 New Paradigm for Streets and Mobility 87 3.3 Proposals 89 4. Social Services 4.1 Existing Situation 99 4.2 Major Principles 101 4.3 Proposals 102 i 5. Municipal Services 5.1 Existing Situation 105 5.2 Main Principles and Considerations 107 5.3 Proposals 107 6. Housing 6.1 Housing Demand 110 6.2 Guiding Principles, Goals and Strategies 111 6.3 Housing Typologies and Land Requirement 118 6.4 Housing Finance 120 6.5 Microeconomic Implications 121 6.6 Institutional Arrangement and Regulatory Intervention 122 6.7 Phasing 122 7. -
Metropolitan Agriculture
Metropolitan Agriculture Wuhan and Addis Ababa, two developing metropoles C.J.M. van der Lans1, H. Hengsdijk2, A. Elings1, J.W. van der Schans3, A.J.A. Aarnink4 and M. Yao5 1 Wageningen UR Greenhouse Horticulture 2 Plant Research International 3 LEI 4 Wageningen UR Livestock Research 5 Wageningen UR Office in China Report GTB-1072 © 2011 Wageningen, Wageningen UR Greenhouse Horticulture (Wageningen UR Glastuinbouw) Wageningen UR Greenhouse Horticulture Adress : Violierenweg 1, 2665 MV Bleiswijk : Postbus 20, 2665 ZG Bleiswijk Tel. : 0317 - 48 56 06 Fax : 010 - 522 51 93 E-mail : [email protected] Internet : www.glastuinbouw.wur.nl Inhoudsopgave 1 Management summary 5 2 Metropolitan agriculture 9 2.1 Need of knowledge 9 2.2 Project goals 10 2.3 Project team 10 3 Approach 11 3.1 Metropolitan agriculture – an integrative view 11 3.2 Case study China 13 3.3 Case study Africa 14 4 Focus on China: the metropolitan region of Wuhan 15 4.1 An introduction to metropolis Wuhan 15 4.2 Land use 18 4.3 Agricultural production types and production 19 4.3.1 Agricultural production types 19 4.3.2 Production 21 4.4 Supply chains 21 4.4.1 Supply of inputs 21 4.4.2 Marketing of output 21 4.5 Environment 21 4.6 Government 25 4.7 Social context 27 4.7.1 Employment data 27 4.7.2 Issues regarding agricultural employment, social care and future developments 28 4.7.3 Consumption 29 4.8 Two scenarios for Wuhan 29 4.8.1 Land Use Patterns and Theories to Explain these Patterns 29 4.8.2 Agriculture development in China 31 4.8.3 Competing paradigms in metropolitan -
Ethiopia NHA V Household Survey
Federal Democratic Republic of Ethiopia Ministry of Health National Health Account (NHA V) Household Health Service Utilization and Expenditure Survey EFY 2003 (2010/11) March 2014 Recommended Citation: Ethiopia Ministry of Health. April 2014. Ethiopia’s Fifth National Health Accounts 2010/2011. Addis Ababa, Ethiopia Program Management and support, funding for the NHA activities, and printing of this NHA report was provided by the United States Agency for International Development (USAID) through Health Sector Financing Reform/Health Finance & Governance (HSFR/HFG) Project which is part of the USAID’s global Health Finance & Governance Project (HFG) Implemented by Abt Associates Inc. under cooperative agreementI -AID-OAA-A-12-00080. Table of Contents Pages List of Tables ....................................................................................................................................................... V List of Figures .................................................................................................................................................... VII Acronyms .......................................................................................................................................................... VIII Executive Summary ...........................................................................................................................................IX 1. INTRODUCTION ........................................................................................................................................ -
Determination of Physicochemical Properties, Heavy Metals and Pesticide Residues of Honey Samples Collected from Walmara, Ethiopia
International Journal of Advanced Research in Chemical Science (IJARCS) Volume 6, Issue 7, 2019, PP 23-33 ISSN No. (Online) 2349-0403 DOI: http://dx.doi.org/10.20431/2349-0403.0607004 www.arcjournals.org Determination of Physicochemical Properties, Heavy Metals and Pesticide Residues of Honey Samples Collected From Walmara, Ethiopia Deressa Kebebe1*, Alemayehu Paulos2, Ermias Haile3 Department of Chemistry, Hawassa University, Hawassa, Ethiopia *Corresponding Author: Deressa Kebebe, Department of Chemistry, Hawassa University, Hawassa, Ethiopia Abstract: This study was conducted to investigate pesticide residues, heavy metals and physicochemical parameters levels in honey samples. In this study, the results of moisture content, electrical conductivity, pH and ash were 15.15 –21.75%, 0.45–1.55 mScm-1, 3.50–4.50, and 0.18–0.80% and that of Fe, Zn, Cu, Pb, Cd, Ni and Cr were analyzed by using flame atomic absorption spectrophotometer and the concentrations ranged from 4.87-11.79 µg/g, 1.41-6.94 µg/g, 0.22-1.22 µg/g, 0.37-0.90 µg/g, 0.04-0.70 µg/g, 0.26-0.60 µg/g and 0.16-0.50µg/g with mean concentration ranges, respectively. All metals were determined by using atomic absorption spectrophotometer except Fe that was determined by using UV-visible spectrophotometer. The percentage recovery for metal analyses was from 85% to 104%. Cd, Cu, Cr and Pb concentrations in honey samples from all sites were not significantly different but Fe, Zn and Ni levels were significantly different at (p<0.05). Pesticide residues in the honey samples were determined by using gas chromatography coupled with mass spectrometer technique. -
Quick Scan of the Linkages Between the Ethiopian Garment Industry and the Dutch Market
QUICK SCAN OF THE LINKAGES BETWEEN THE ETHIOPIAN GARMENT INDUSTRY AND THE DUTCH MARKET Authors: Esther de Haan & Martje Theuws Mondiaal CONTENTS 1. INTRODUCTION 2 2. THE ETHIOPIAN GARMENT INDUSTRY 4 2.1. Growth of the textile and garment industry in Ethiopia 4 2.2. Challenges for the textile and garment industry in Ethiopia 4 3. THE GARMENT SUPPLY CHAIN IN ETHIOPIA 7 3.1. Raw cotton, yarn and fabrics 7 3.2. Export of garments and textile products 12 3.3. Ethiopian yarn, textile and garment producers 12 4. BRANDS AND RETAILERS SOURCING FROM ETHIOPIA 19 4.1. Linkages between Ethiopia’s garment industry and the Dutch market 25 4.2. Unauthorised subcontracting 25 5. CONCLUSION 26 ANNEX 1: SHOP VISITS 27 1 1. INTRODUCTION Global garment brands and retailers are continuously looking for cheap(er) production locations; as a result speed and low costs have become important requirements for manufacturers. Rising minimum wages in countries such as China and Vietnam have led to a shift in production, first to Bangladesh, later to Myanmar and now Ethiopia is said to become the next hub for textile and apparel sourcing. Mondiaal FNV commissioned SOMO to conduct a short mapping (‘Quick Scan’) of the Ethiopian garment industry. AIM The aim of the requested Quick Scan was to identify which international brands and retailers are currently sourcing garments from Ethiopia as well as the linkages that exist between the Ethiopian garment industry and the Dutch market. Mondiaal FNV is working together with CNV and the Fair Wear Foundation in a five year partnership with the Dutch Ministry of Foreign Affairs (2016-2020). -
1. Introduction the Relationship Between Women's Work And
The Effect of Women’s Employment on Marriage Formation: The case of rural women in Sebeta Hawas District, Central Ethiopia. (Aynalem Megersa1, Workneh Negatu2, and Eshetu Gurmu3) 1. Introduction The relationship between women’s work and marriage is a widely studied issue. However, much of the literature focuses on the experiences of women in the western countries (see Kuo & Raley, 2014; Lichter et al., 1992), and is in some cases a comparative cross national research in its nature (Ono, 2003). Case studies from developing countries, especially Sub Saharan Africa, tend to be scanty in the body of literature. This little attention is primarily attributed to the fact that women’s employment in the region is related to subsistence agriculture where women primarily engage in unpaid family work in addition to their homemaking responsibilities. Though this pattern is still a fact, women are increasingly improving their market share in the income-earning employment (self-employment and wage employment) over time. For example, looking at the national statistics for Ethiopia (FDRE, 2005; CSA, 2011b), while only 26.8 percent of women were engaged in income-earning activities in 1994, this figure has increased to 59.6 percent in 2007. The statistics also shows that the increasing trend of women’s participation during the aforementioned period is attributed to the tremendous increase observed in the figure among rural women than urban women. This increasing women’s participation in income earning activities is attributed to the Ethiopian government’s increasing attention on job creation for the citizens in general and women in particular in its effort to alleviate poverty.