Kenya & Ethiopia
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In Kenya —Background Paper
A Collaborative Research Project Funded by: Implemented by: An Overview of the Poultry Sector and Status of Highly Pathogenic Avian Influenza (HPAI) in Kenya —Background Paper John M. Omiti Sam O. Okuthe Africa/Indonesia Region Report No. 4 Pro‐Poor HPAI Risk Reduction Table of Contents Page PREFACE ........................................................................................................................................ VI ACRONYMS AND ABBREVIATIONS ............................................................................................... VIII EXECUTIVE SUMMARY ..................................................................................................................... X 1. INTRODUCTION ...................................................................................................................... 1 1.1 Motivation ................................................................................................................................ 1 1.2 Significance and scope ............................................................................................................ 1 1.3 Summary of key findings ......................................................................................................... 1 1.4 Road map ................................................................................................................................ 2 2. VITAL COUNTRY STATISTICS .................................................................................................... 3 2.1 Size and location -
County Urban Governance Tools
County Urban Governance Tools This map shows various governance and management approaches counties are using in urban areas Mandera P Turkana Marsabit P West Pokot Wajir ish Elgeyo Samburu Marakwet Busia Trans Nzoia P P Isiolo P tax Bungoma LUFs P Busia Kakamega Baringo Kakamega Uasin P Gishu LUFs Nandi Laikipia Siaya tax P P P Vihiga Meru P Kisumu ga P Nakuru P LUFs LUFs Nyandarua Tharaka Garissa Kericho LUFs Nithi LUFs Nyeri Kirinyaga LUFs Homa Bay Nyamira P Kisii P Muranga Bomet Embu Migori LUFs P Kiambu Nairobi P Narok LUFs P LUFs Kitui Machakos Kisii Tana River Nyamira Makueni Lamu Nairobi P LUFs tax P Kajiado KEY County Budget and Economic Forums (CBEFs) They are meant to serve as the primary institution for ensuring public participation in public finances in order to im- Mom- prove accountability and public participation at the county level. basa Baringo County, Bomet County, Bungoma County, Busia County,Embu County, Elgeyo/ Marakwet County, Homabay County, Kajiado County, Kakamega County, Kericho Count, Kiambu County, Kilifi County, Kirin- yaga County, Kisii County, Kisumu County, Kitui County, Kwale County, Laikipia County, Machakos Coun- LUFs ty, Makueni County, Meru County, Mombasa County, Murang’a County, Nairobi County, Nakuru County, Kilifi Nandi County, Nyandarua County, Nyeri County, Samburu County, Siaya County, TaitaTaveta County, Taita Taveta TharakaNithi County, Trans Nzoia County, Uasin Gishu County Youth Empowerment Programs in urban areas In collaboration with the national government, county governments unveiled -
Sediment Dynamics and Improvised Control Technologies in the Athi River Drainage Basin, Kenya
Sediment Dynamics in Changing Environments (Proceedings of a symposium held 485 in Christchurch, New Zealand, December 2008). IAHS Publ. 325, 2008. Sediment dynamics and improvised control technologies in the Athi River drainage basin, Kenya SHADRACK MULEI KITHIIA Postgraduate Programme in Hydrology, Department of Geography and Environmental Studies, University of Nairobi, PO Box 30197, 00100 GPO, Nairobi, Kenya [email protected] Abstract In Kenya, the changing of land-use systems from the more traditional systems of the 1960s to the present mechanized status, contributes enormous amounts of sediments due to water inundations. The Athi River drains areas that are subject to intense agricultural, industrial, commercial and population settlement activities. These activities contribute immensely to the processes of soil erosion and sediment transport, a phenomenon more pronounced in the middle and lower reaches of the river where the soils are much more fragile and the river tributaries are seasonal in nature. Total Suspended Sediments (TSS) equivalent to sediment fluxes of 13 457, 131 089 and 2 057 487 t year-1 were recorded in the headwater areas, middle and lower reaches of the river, respectively. These varying trends in sediment transport and amount are mainly due to the chemical composition of the soil coupled with the land-soil conservation measures already in practice, and which started in the 1930s and reached their peak in the early 1980s. This paper examines trends in soil erosion and sediment transport dynamics progressively downstream. The land-use activities and soil conservation, control and management technologies, which focus on minimizing the impacts of overland flow, are examined to assess the economic and environmental sustainability of these areas, communal societal benefits and the country in general. -
The Water Crisis in Kenya: Causes, Effects, and Solutions
Global Majority E-Journal, Vol. 2, No. 1 (June 2011), pp. 31-45 The Water Crisis in Kenya: Causes, Effects and Solutions Samantha Marshall Abstract Located on the eastern coast of Africa, Kenya, a generally dry country with a humid climate, is enduring a severe water crisis. Several issues such as global warming (causing recurrent and increasingly severe droughts as well as floods), the contamination of drinking water, and a lack of investment in water resources have enhanced the crisis. This article provides an overview of Kenya’s water crisis, along with a brief review of the literature and some empirical background. It reviews the main causes of the water crisis and how it affects the health of millions of Kenyans. Furthermore, the article summarizes some of the main solutions proposed to overcome the crisis. I. Introduction There are about 40 million people living in Kenya, of which about 17 million (43 percent) do not have access to clean water.1 For decades, water scarcity has been a major issue in Kenya, caused mainly by years of recurrent droughts, poor management of water supply, contamination of the available water, and a sharp increase in water demand resulting from relatively high population growth. The lack of rainfall affects also the ability to acquire food and has led to eruptions of violence in Kenya. In many areas, the shortage of water in Kenya has been amplified by the government’s lack of investment in water, especially in rural areas. Most of the urban poor Kenyans only have access to polluted water, which has caused cholera epidemics and multiple other diseases that affect health and livelihoods. -
Population Density and Spatial Patterns of Informal Settlements in Nairobi, Kenya
sustainability Article Population Density and Spatial Patterns of Informal Settlements in Nairobi, Kenya Hang Ren 1,2 , Wei Guo 3 , Zhenke Zhang 1,2,*, Leonard Musyoka Kisovi 4 and Priyanko Das 1,2 1 Center of African Studies, Nanjing University, Nanjing 210046, China; [email protected] (H.R.); [email protected] (P.D.) 2 School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China 3 Department of Social Work and Social Policy, Nanjing University, Nanjing 210023, China; [email protected] 4 Department of Geography, Kenyatta University, Nairobi 43844, Kenya; [email protected] * Correspondence: [email protected]; Tel.: +86-025-89686694 Received: 21 August 2020; Accepted: 15 September 2020; Published: 18 September 2020 Abstract: The widespread informal settlements in Nairobi have interested many researchers and urban policymakers. Reasonable planning of urban density is the key to sustainable development. By using the spatial population data of 2000, 2010, and 2020, this study aims to explore the changes in population density and spatial patterns of informal settlements in Nairobi. The result of spatial correlation analysis shows that the informal settlements are the centers of population growth and agglomeration and are mostly distributed in the belts of 4 and 8 km from Nairobi’s central business district (CBD). A series of population density models in Nairobi were examined; it showed that the correlation between population density and distance to CBD was positive within a 4 km area, while for areas outside 8 km, they were negatively related. The factors determining population density distribution are also discussed. We argue that where people choose to settle is a decision process between the expected benefits and the cost of living; the informal settlements around the 4-km belt in Nairobi has become the choice for most poor people. -
9Th October, 2015 LEGAL NOTICE No. 208 THE
9th October, 2015 LEGAL NOTICE No. 208 THE NATIONAL HOSPITAL INSURANCE FUND ACT (No.9 of 1998) APPROVAL OF REBATES IN EXERCISE of the powers conferred by section 27 of the National Hospital Insurance Fund Act, 1998, the National Hospital Insurance Fund Board of Management, in consultation with the Cabinet Secretary for Health has approved the rebates for the following Hospitals for purposes of the Act- Facility Postal Location Contract Options/Rebate In Kshs Address P. O. Box A B C Adu Dispensary 4, Malindi Adu Township Opposite 1,100 - - Chief’s Office A.I.C. Malanga 230, Malindi Along Langobaya Kilifi - 1,300 - Dispensary Road 7km Next to Malanga AIC- Baricho Dispensary 4, Malindi Near Malindi Town, 1,100 - - Baricho Sub-Location Boalala Model Health 4, Malindi Malindi 1,200 - - Centre Bomani Malde 9, Kilifi Near Bomani Shopping 1,100 - - Dispensary Centre and Chiefs Office Chakama Dispensary 4, Malindi Along Malindi – Tsavo 1,100 - - Road Next to Chakama Chiefs Office Cheborgei Health Centre 44, Litein Cheborgei Town 1,000 - - Chemosot Health Centre 398, Litein Chemosot Town 1,000 - - Crystal Cottage Hospital 1320-30200 Near Kitale Town Tuwani - 1,600 - and Medical Clinic Sub-Location Dagamra Dispensary 4, Malindi Marikebuni-Barichon 1,000 - - Road Next to Bate Chiefs Office Dida Dispensary 9, Kilifi Along Kilifi Matano 1,100 - - Manne Vitengeni Road Near Dida Primary School Dungicha Dispensary 9, Kilifi Near Dungicha Sub 1,000 - - Chiefs Office Dzikunze Dispensary 9, Kilifi Vitengani Shopping 1,100 - - Centre Entasopia Health Centre -
South Africa 12 Nights / 13 Days
SOUTH AFRICA 12 NIGHTS / 13 DAYS 304, SUKH SAGAR BUILDING, 3RD FLOOR, N. S. PATKAR MARG, HUGHES ROAD, CHOWPATTY, MUMBAI – 400 007. TEL: 2369 7578 / 2361 7578 / 2368 2421 / 2367 2160 / 2362 2160 / 2362 2421 / 9920045551 E-MAIL: [email protected] WEBSITE : www.comfort-voyages.com DEPARTURE DATES APRIL: 16, 20, 24, 28 MAY: 02, 04, 06, 08, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30 JUNE: 03, 07, 11, 15, 19, 23 DAY 00: MUMBAI – ADDIS ABABA Arrive at Mumbai International Airport to board flight to Addis Ababa. On arrival into Addis Ababa airport proceed for your connecting flight to Cape Town. DAY 01: ADDIS ABABA – CAPE TOWN Arrive into Cape Town & proceed to clear your customs & immigration. Later board your coach and proceed towards your hotel & check in. Evening free at Leisure. Dinner and Overnight in Cape Town. DAY 02 : CAPE TOWN After breakfast proceed to the cable car station, for a cable car ride up Table Mountain (if weather permits), It gives breath-taking views over the city and its beaches. Later we proceed for an Orientation City Tour visiting Houses of Parliament, the Castle, Signal Hill, Sea Point, V&A Water Front & Malay Quarters. Later proceed for Helicopter Ride (Included) and evening free at leisure. Dinner and Overnight in Cape Town. DAY 03 : CAPE TOWN After breakfast we drive towards Hout Bay and take a boat trip to Seal Island a 45 minutes boat trip. The island is long and narrow, 800 meter long and only 50 meter wide. Some rock made by sealers in the 1930s are still evident. -
WIND SPEED POTENTIAL ASSESSMENT of SELECTED CLIMATIC ZONES of ETHIOPIA Endalew Ayenew1, Santoshkumar Hampannavar2 •
Endalew Ayenew RT&A, Special Issue № 1 (60) WIND SPEED POTENTIAL ASSESSMENT Volume 16, Janyary 2021 WIND SPEED POTENTIAL ASSESSMENT OF SELECTED CLIMATIC ZONES OF ETHIOPIA Endalew Ayenew1, Santoshkumar Hampannavar2 • 1College of Electrical & Mechanical Engineering, Addis Ababa Science and Technology University, Ethiopia Professor, School of Electrical and Electronics Engineering, REVA University, Bengaluru, India [email protected] Abstract In this paper the wind speed potential assessment of different climatic zones of Ethiopia are proposed. Statistical analysis of wind speed were carried out using Rayleigh and Weibull probability density functions (PDF) for a specific location. Real time Typical Meteorological Year (TMY) data was used for the wind speed potential assessment of three different climatic zones and to plot wind rose diagram. Keywords: Wind speed assessment, Statistical analysis, Wind Energy I. Introduction Wind is one of the globally recognized potential renewable energy source and it is important to have an inclusive knowledge about the wind characteristics for efficient planning and implementation of wind power generation plants. The wind energy assessment is very crucial and draws attention of researchers. Wind resources assessment is a basic requirement for the following reasons: i) wind power is proportional to the cube of the wind speed (10% difference in wind speed leads to 33% changes in wind power), ii) fluctuating wind speed and wind shears. According to the statistics the country has existing wind energy capacity of about 18.7GW with wind speed of 7.5 to 8.8 m/s at 50m height above the ground level. Wind energy is recognized throughout the world as a cost-effective energy plant. -
AMHARA REGION : Who Does What Where (3W) (As of 13 February 2013)
AMHARA REGION : Who Does What Where (3W) (as of 13 February 2013) Tigray Tigray Interventions/Projects at Woreda Level Afar Amhara ERCS: Lay Gayint: Beneshangul Gumu / Dire Dawa Plan Int.: Addis Ababa Hareri Save the fk Save the Save the df d/k/ CARE:f k Save the Children:f Gambela Save the Oromia Children: Children:f Children: Somali FHI: Welthungerhilfe: SNNPR j j Children:l lf/k / Oxfam GB:af ACF: ACF: Save the Save the af/k af/k Save the df Save the Save the Tach Gayint: Children:f Children: Children:fj Children:l Children: l FHI:l/k MSF Holand:f/ ! kj CARE: k Save the Children:f ! FHI:lf/k Oxfam GB: a Tselemt Save the Childrenf: j Addi Dessie Zuria: WVE: Arekay dlfk Tsegede ! Beyeda Concern:î l/ Mirab ! Concern:/ Welthungerhilfe:k Save the Children: Armacho f/k Debark Save the Children:fj Kelela: Welthungerhilfe: ! / Tach Abergele CRS: ak Save the Children:fj ! Armacho ! FHI: Save the l/k Save thef Dabat Janamora Legambo: Children:dfkj Children: ! Plan Int.:d/ j WVE: Concern: GOAL: Save the Children: dlfk Sahla k/ a / f ! ! Save the ! Lay Metema North Ziquala Children:fkj Armacho Wegera ACF: Save the Children: Tenta: ! k f Gonder ! Wag WVE: Plan Int.: / Concern: Save the dlfk Himra d k/ a WVE: ! Children: f Sekota GOAL: dlf Save the Children: Concern: Save the / ! Save: f/k Chilga ! a/ j East Children:f West ! Belesa FHI:l Save the Children:/ /k ! Gonder Belesa Dehana ! CRS: Welthungerhilfe:/ Dembia Zuria ! î Save thedf Gaz GOAL: Children: Quara ! / j CARE: WVE: Gibla ! l ! Save the Children: Welthungerhilfe: k d k/ Takusa dlfj k -
Vulnerability to HIV Infection Among the Borana Pastoral Community of Southern Ethiopia: a Persisting Challenge
Journal name: HIV/AIDS - Research and Palliative Care Article Designation: Original Research Year: 2019 Volume: 11 HIV/AIDS - Research and Palliative Care Dovepress Running head verso: Serbessa Running head recto: Serbessa open access to scientific and medical research DOI: http://dx.doi.org/10.2147/HIV.S193035 Open Access Full Text Article ORIGINAL RESEARCH Vulnerability to HIV infection among the Borana pastoral community of Southern Ethiopia: a persisting challenge Mirgissa Kaba Serbessa Background: Vulnerability to HIV infection is a major concern in an effort to control further infections. What drives vulnerability among pastoral settings of Ethiopia is not well documented. Department of Preventive Medicine, School of Public Health, Addis Ababa Objectives: This study aims to identify drivers of vulnerability to HIV infection among the University, Addis Ababa, Ethiopia Borana pastoral community of Ethiopia. Methods: Data were collected during 2008–2009 as part of a PhD work and subsequently in 2014 and 2016, during a follow-up visit to Borana. Data on perceived threats of HIV, facilita- tors of vulnerability, coping mechanisms and perceived consequences were collected by trained research assistants using topic guides developed for this purpose. In-depth and key informant interviews and Focus Group Discussions (FGDs) with selected married men and women, opinion leaders, and HIV focal persons of public sectors and Non Governmental Organizations in Teltele, Arero, Yabelo and Moyale were carried out. Sample transcripts were checked for consistency and Video abstract completeness before data collection was completed. Two qualitative researchers read transcripts and suggested themes and subthemes in reference to the objective of the study. Transcripts were imported to MAXQDA software. -
Kenya Long Rains Assessment Report 2005
CONSOLIDATED INTER-AGENCY REPORT Kenya Food Security Steering Group (KFSSG) KENYA LONG RAINS ASSESSMENT REPORT 2005 August 2005 A collaborative report of the Kenya Food Security Steering Group; (Kenya Office of the President; Ministries of Agriculture, Livestock and Fisheries Development; FEWS Net, FAO, Oxfam GB, UNDP, WFP; and UNICEF; with financial support from the Government of Kenya, WVI, FAO, UNDP and WFP) TABLE OF CONTENTS 1.0 EXECUTIVE SUMMARY ..............................................................................3 2.0 INTRODUCTION...........................................................................................3 3.0 ANALYSIS OF FOOD INSECURITY IN KENYA ........................................14 4.0 THE 2005 LONG-RAINS SEASON ............................................................17 5.0 COASTAL REGION (TAITA TAVETA, KWALE, MALINDI, KILIFI AND LAMU) ....................................................................................................................25 6.0 EASTERN REGION (KITUI, MAKUENI, MWINGI, KAJIADO, MACHAKOS AND NAROK) ......................................................................................................37 7. 0 EASTERN RIFT REGION (MOYALE, MARSABIT,LAIKIPIA,ISIOLO, THARAKA AND MBEERE)....................................................................................48 8.0 NORTH EASTERN REGION (MANDERA, WAJIR, GARISSA, .................58 9.0 NORTH WEST REGION (TURKANA, WEST POKOT, BARINGO AND SAMBURU)............................................................................................................69 -
SK NCPWD List of Hospitals.Xlsx
S/NO PROVINCE DISTRICT HEALTH FACILITY NAME TYPE OF HEALTH FACILTY 1 central Gatundu south Gatundu District Hospital District Hospital 2 central kirinyaga east kianyaga sub-District Hospital Sub-District Hospital 3 central Thika west Thika District Hospital District Hospital 4 central Ruiru Ruiru Sub-District Hospital Sub-District Hospital 5 central kabete Nyathuna Sub-District hospital Sub-District Hospital 6 central Murang`a west kangema Sob-District Hospital Sub-District Hospital 7 central kiambaa kiambu District Hospital District Hospital 8 central kiambaa Kihara Sub-District Hospital Sub-District Hospital 9 central Murang`a east Murang`a District Hospital District Hospital 10 central murang`a east Muriranjas District Hospital District Hospital 11 central kinangop Engineer District Hospital District Hospital 12 central kirinyaga central Kerugoya District Hospital District Hospital 13 central kiambu west Tigoni District Hospital District Hospital 14 central Murang`a south Maragwa Distric Hospital District Hospital 15 central Mathira east Karatina District Hospital District Hospital 16 central Mukurweini Mukurweini Sub-District hospital Sub-District Hospital 17 central kirinyaga south Kimbimbi Sub-Distric Hospital Sub-District Hospital 18 central Nyeri central Nyeri provincial General hospital Provincial Hospital 19 central Nyeri central Mt. kenya Sub-district Hospital Sub-District Hospital 20 central Nyandarua central Ol`kalou District Hospital District Hospital 21 central Nyandarua north Nyahururu District Hospital District Hospital