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Integrated Testing for TB and HIV Zimbabwe
AUGUST 2019 ZIMBABWE TB AND HIV FAST FACTS 1.3 MILLION PEOPLE LIVING WITH HIV % ADULT HIV 13.3 PREVALENCE (AGES 15–49 YEARS) 37,000 PEOPLE FELL ILL WITH TUBERCULOSIS (TB)* © UNICEF/Costa/Zimbabwe INTEGRATED TESTING FOR TB AND HIV 23,000 USING GENEXPERT DEVICES EXPANDS PEOPLE LIVING WITH HIV ACCESS TO NEAR-POINT-OF-CARE TESTING FELL ILL * LESSONS LEARNED FROM ZIMBABWE WITH TB Introduction With limited funding for global health, identifying practical, cost- and time- OF TB PATIENTS % saving solutions while also ensuring quality of care is evermore important. 63ARE PEOPLE Globally, there are fleets of molecular testing platforms within laboratories WITH KNOWN HIV-POSITIVE and at the point of care (POC), the majority of which were placed to offer STATUS disease-specific services such as the diagnosis of tuberculosis (TB) or HIV in infants. Since November 2015, Clinton Health Access Initiative, Inc. (CHAI), the United Nations Children’s Fund (UNICEF) and the African Society of Laboratory Medicine (ASLM), with funding from Unitaid, have % OF HIV-EXPOSED been working closely with ministries of health across 10 countries in sub- Saharan Africa to introduce innovative POC technologies into national INFANTS 1 63 health programmes. RECEIVED AN HIV TEST WITHIN THE FIRST TWO One approach to increasing access to POC testing is integrated testing MONTHS OF LIFE (a term often used interchangeably with “multi-disease testing”), which is testing for different conditions or diseases using the same diagnostic *Annually platform.2 Leveraging excess capacity on existing devices to enable testing Sources: UNAIDS estimates 2019; World Health across multiple diseases offers the potential to optimize limited human Organization, ‘Global Tuberculosis Report 2018’ and financial resources at health facilities, while increasing access to rapid testing services. -
Tendayi Mutimukuru-Maravanyika Phd Thesis
Can We Learn Our Way to Sustainable Management? Adaptive Collaborative Management in Mafungautsi State Forest, Zimbabwe. Tendayi Mutimukuru-Maravanyika Thesis committee Thesis supervisors Prof. dr. P. Richards Professor of Technology and Agrarian Development Wageningen University Prof. dr. K.E. Giller Professor of Plant Production Systems Wageningen University Thesis co-supervisor Dr. ir. C. J. M. Almekinders Assistant Professor, Technology and Agrarian Development Group Wageningen University Other members Prof. dr. ir. C. Leeuwis, Wageningen University Prof. dr. L.E. Visser, Wageningen University Dr. ir. K. F. Wiersum, Wageningen University Dr. B.B. Mukamuri, University of Zimbabwe This research was conducted under the auspices of the CERES Research School for Resource Studies for Development. Can We Learn Our Way to Sustainable Management? Adaptive Collaborative Management in Mafungautsi State Forest, Zimbabwe. Tendayi Mutimukuru-Maravanyika Thesis submitted in fulfilment of the requirements for the degree of doctor at Wageningen University by the authority of the Rector Magnificus Prof. dr. M. J. Kropff in the presence of the Thesis Committee appointed by the Academic Board to be defended in public on Friday 23 April 2010 at 11 a.m. in the Aula. Tendayi Mutimukuru-Maravanyika Can We Learn Our Way to Sustainable Management? Adaptive Collaborative Management in Mafungautsi State Forest, Zimbabwe. 231 pages Thesis Wageningen University, Wageningen, NL (2010) ISBN 978-90-8585-651-1 Dedication To my parents, my husband Simeon , my son Tafadzwa -
Grant Assistance for Grassroots Human Projects in Zimbabwe
Grant Assistance for Grassroots Human Projects in Zimbabwe Amount Amount No Year Project Title Implementing Organisation District (US) (yen) 1 1989 Mbungu Primary School Development Project Mbungu Primary School Gokwe 16,807 2,067,261 2 1989 Sewing and Knitting Project Rutowa Young Women's Club Gutu 5,434 668,382 3 1990 Children's Agricultural Project Save the Children USA Nyangombe 8,659 1,177,624 Mbungo Uniform Clothing Tailoring Workshop 4 1990 Mbungo Women's Club Masvingo 14,767 2,008,312 Project Construction of Gardening Facilities in 5 1991 Cold Comfort Farm Trust Harare 42,103 5,431,287 Support of Small-Scale Farmers 6 1991 Pre-School Project Kwayedza Cooperative Gweru 33,226 4,286,154 Committee for the Rural Technical 7 1992 Rural Technical Training Project Murehwa 38,266 4,936,314 Training Project 8 1992 Mukotosi Schools Project Mukotosi Project Committee Chivi 20,912 2,697,648 9 1992 Bvute Dam Project Bvute Dam Project Committee Chivi 3,558 458,982 10 1992 Uranda Clinic Project Uranda Clinic Project Committee Chivi 1,309 168,861 11 1992 Utete Dam Project Utete Dam Project Committee Chivi 8,051 1,038,579 Drilling of Ten Boreholes for Water and 12 1993 Irrigation in the Inyathi and Tsholotsho Help Age Zimbabwe Tsholotsho 41,574 5,072,028 PromotionDistricts of ofSocialForestry Matabeleland andManagement Zimbabwe National Conservation 13 1993 Buhera 46,682 5,695,204 ofWoodlands inCommunalAreas ofZimbabwe Trust Expansion of St. Mary's Gavhunga Primary St. Mary's Gavhunga Primary 14 1994 Kadoma 29,916 3,171,096 School School Tsitshatshawa -
ANALYSIS of SPATIAL PATTERNS of SETTLEMENT, INTERNAL MIGRATION, and WELFARE INEQUALITY in ZIMBABWE 1 Analysis of Spatial
ANALYSIS OF SPATIAL PATTERNS OF SETTLEMENT, INTERNAL MIGRATION, AND WELFARE INEQUALITY IN ZIMBABWE 1 Analysis of Spatial Public Disclosure Authorized Patterns of Settlement, Internal Migration, and Welfare Inequality in Zimbabwe Public Disclosure Authorized Public Disclosure Authorized Rob Swinkels Therese Norman Brian Blankespoor WITH Nyasha Munditi Public Disclosure Authorized Herbert Zvirereh World Bank Group April 18, 2019 Based on ZIMSTAT data Zimbabwe District Map, 2012 Zimbabwe Altitude Map ii ANALYSIS OF SPATIAL PATTERNS OF SETTLEMENT, INTERNAL MIGRATION, AND WELFARE INEQUALITY IN ZIMBABWE TABLE OF CONTENTS ACKNOWLEDGMENTS iii ABSTRACT v EXECUTIVE SUMMARY ix ABBREVIATIONS xv 1. INTRODUCTION AND OBJECTIVES 1 2. SPATIAL ELEMENTS OF SETTLEMENT: WHERE DID PEOPLE LIVE IN 2012? 9 3. RECENT POPULATION MOVEMENTS 27 4. REASONS BEHIND THE SPATIAL SETTLEMENT PATTERN AND POPULATION MOVEMENTS 39 5. CONSEQUENCES OF THE POPULATION’S SPATIAL DISTRIBUTION 53 6. POLICY DISCUSSION 71 AREAS FOR FURTHER RESEARCH 81 REFERENCES 83 APPENDIX A. SUPPLEMENTAL MAPS AND CHARTS 87 APPENDIX B. RESULTS OF REGRESSION ANALYSIS 99 APPENDIX C. EXAMPLE OF LOCAL DEVELOPMENT INDEX 111 ACKNOWLEDGMENTS This report was prepared by a team led by Rob Swinkels, comprising Therese Norman and Brian Blankespoor. Important background work was conducted by Nyasha Munditi and Herbert Zvirereh. Wishy Chipiro provided valuable technical support. Overall guidance was provided by Andrew Dabalen, Ruth Hill, and Mukami Kariuki. Peer reviewers were Luc Christiaensen, Nagaraja Rao Harshadeep, Hans Hoogeveen, Kirsten Hommann, and Marko Kwaramba. Tawanda Chingozha commented on an earlier draft and shared the shapefiles of the Zimbabwe farmland use types. Yondela Silimela, Carli Bunding-Venter, Leslie Nii Odartey Mills, and Aiga Stokenberga provided inputs to the policy section. -
Original Research Article the Spatial Dimension of Health Service
Scholars Journal of Applied Medical Sciences (SJAMS) ISSN 2320-6691 (Online) Sch. J. App. Med. Sci., 2016; 4(1C):201-204 ISSN 2347-954X (Print) ©Scholars Academic and Scientific Publisher (An International Publisher for Academic and Scientific Resources) www.saspublisher.com Original Research Article The Spatial Dimension of Health Service Provision in Mashonaland West Province, Zimbabwe Takudzwa Mhandu, Dr Evans Chazireni Great Zimbabwe University, P O Box 1235, Masvingo, Zimbabwe *Corresponding author Dr Evans Chazireni Email: Abstract: Zimbabwe like many other developing countries has serious problems in its healthcare system. The quality of health service provision in Zimbabwe is generally poor Chazireni. Different parts of the country have serious healthcare problems. Mashonaland West, like other provinces in Zimbabwe, experiences numerous healthcare challenges. The research examines health service provision in Mashonaland West province in Zimbabwe. Data for this study was collected from ZIMSTAT published census reports and Ministry of health and Child Welfare published national health profiles. The analysis of the data was done through the composite index method. The calculated composite indices were used to rank the districts according to the level of health service provision. The researcher found out that there overall, the conditions of health service provision in Mashonaland West province is poor and that there are health service disparities among administrative districts in Mashonaland West province of Zimbabwe. There are many reasons which contribute to disparities in health care services at different levels (global, continental, regional, national and district level). It emerged from the research that the disparities are due to social, economic, physical and political factors. -
Census Results in Brief
116 Appendix 1a: Census Questionnaire 117 118 119 120 Appendix 1b: Census Questionnaire Code List Question 6-8 and 10 Census District Country code MANICALAND 1 Sanyati 407 Shurugwi 726 Rural Districts Urban Areas MASVINGO 8 Buhera 101 Chinhoyi 421 Rural Districts Chimanimani 102 Kadoma 422 Bikita 801 Chipinge 103 Chegutu 423 Chiredzi 802 Makoni 104 Kariba 424 Chivi 803 Mutare Rural 105 Norton 425 Gutu 804 Mutasa 106 Karoi 426 Masvingo Rural 805 Nyanga 107 MATABELELAND NORTH 5 Mwenezi 806 Urban Areas Rural Districts Zaka 807 Mutare 121 Binga 501 Urban Areas Rusape 122 Bubi 502 Masvingo Urban 821 Chipinge 123 Hwange 503 Chiredzi Town 822 MASHONALAND CENTRAL 2 Lupane 504 Rural Districts Nkayi 505 HARARE 9 Bindura 201 Tsholotsho 506 Harare Rural 901 Centenary 202 Umguza 507 Harare Urban 921 Guruve 203 Urban Areas Chitungwiza 922 Mazowe 204 Hwange 521 Epworth 923 Mount Darwin 205 Victoria Falls 522 BULAWAYO 0 Rushinga 206 MATABELELAND SOUTH 6 Bulawayo Urban 21 Shamva 207 Rural Districts AFRICAN COUNTRIES Mbire 208 Beitbridge Rural 601 Zimbabwe 0 Urban Areas Bulilima 602 Botswana 941 Bindura 221 Mangwe 603 Malawi 942 Mvurwi 222 Gwanda Rural 604 Mozambique 943 MASHONALAND EAST 3 Insiza 605 South Africa 944 Rural Districts Matobo 606 Zambia 945 Chikomba 301 Umzingwane 607 Other African Countries 949 Goromonzi 302 Urban Areas OUTSIDE AFRICA Hwedza 303 Gwanda 621 United Kingdom 951 Marondera 304 Beitbridge Urban 622 Other European Countries 952 Mudzi 305 Plumtree 623 American Countries 953 Murehwa 306 MIDLANDS 7 Asian Countries 954 Mutoko 307 Rural Districts Other Countries 959 701 Seke 308 Chirumhanzu Uzumba-Maramba-Pfungwe 309 Gokwe North 702 Urban Areas Gokwe South 703 Marondera 321 Gweru Rural 704 Chivhu Town Board 322 Kwekwe Rural 705 Ruwa Local Board 323 Mberengwa 706 MASHONALAND WEST 4 Shurugwi 707 Rural Districts Zvishavane 708 Chegutu 401 Urban Areas Hurungwe 402 Gweru 721 Mhondoro-Ngezi 403 Kwekwe 722 Kariba 404 Redcliff 723 Makonde 405 Zvishavane 724 Gokwe Centre 725 . -
A Golden Opportunity: Scoping Study of Artisanal and Small Scale Gold Mining in Zimbabwe
pactworld.orgpactworld.org July 2015July 2015 pactworld.orgpactworld.org JulyJuly 20152015 AA Golden Golden Opportunity:Opportunity: ScopingScoping Study Study of Artisanal of Artisanal and Small Scale Gold Mining and Small Scale Gold Mining inin Zimbabwe in Zimbabwe SUBMITTED TO Phil Johnston Economic Adviser UK Department for International Development Zimbabwe British Embassy 3 Norfolk Road, Mount Pleasant, Harare, Zimbabwe TEL: +263 (0)4 8585 5375 E-MAIL: [email protected] UPDATED DOCUMENT SUBMITTED ON 22 June2015 SUBMITTED BY Pact Institute, 1828 L Street, NW, Suite 300 Washington, DC 20036, USA TEL: +1-202-466-5666 FAX: +1-202-466-5665 [email protected] CONTACT Peter Mudzwiti, ASM Scoping Study Lead E-MAIL: [email protected] Trevor Maisiri Country Director, Pact Zimbabwe TEL: +263 (0)4 250 942, +263 (0)772 414 465 E-MAIL: [email protected] ii Foreword Dear reader, We all rely on stereotypes to make sense of the world around us. The problem, of course, is that stereotypes aren’t always accurate. Many people believe that the typical artisanal gold miner in Zimbabwe is a single, migratory man in his early 20s who has no education, gambles away his money, and is likely to contract HIV. But the picture of the miners who participated in this study is rather different. In fact, mining is carried out by men, women, youth and children. The average miner is older and married with more children than non-miners in their community. They have more formal education, and earn and save more money than non-miners. And despite assumptions about lifestyles, miners are no more likely to be HIV-positive than non-miners. -
Midlands ZIMBABWE POPULATION CENSUS 2012
Zimbabwe Provincial Report Midlands ZIMBABWE POPULATION CENSUS 2012 Population Census Office P.O. Box CY342 Causeway Harare Tel: 04-793971-2 04-794756 E-mail: [email protected] Census Results for Midlands Province at a Glance Population Size Total 1 614 941 Males 776 787 Females 838 154 Annual Average Increase (Growth Rate) 2.2 Average Household Size 4.5 1 2 Table of Contents Table of Contents...............................................................................................................................3 List of Tables.....................................................................................................................................4 Foreword ...........................................................................................................................................9 Executive Summary.........................................................................................................................10 Midlands Fact Sheet (Final Results) .................................................................................................13 Chapter 1: ........................................................................................................................................14 Population Size and Structure .......................................................................................................14 Chapter 2: ........................................................................................................................................24 Population Distribution -
ZIMBABWE Vulnerability Assessment Committee
SIRDC VAC ZIMBABWE Vulnerability Assessment Committee Zimbabwe Rural Livelihood Baselines Synthesis Report 2011 Financed by: Implementation partners: The ZimVAC acknowledges the personnel, time and material The Zimbabwe Rural Livelihood Baselines was made possible by contributions of all implementing partners that made this work contributions from the following ZimVAC members who supported possible the process in data collection, analysis and report writing: Office of the President and Cabinet Food and Nutrition Council Ministry of Local Government, Rural and Urban Development Ministry of Agriculture, Mechanisation and Irrigation Development For enquiries, please contact the ZimVAC Chair: Ministry of Labour and Social Services Food and Nutrition Council Zimbabwe National Statistics Agency SIRDC Complex Ministry of Health and Child Welfare 1574 Alpes Road, Hatcliffe, Harare, Zimbabwe Ministry of Education, Sports, Arts and Culture Save the Children Tel: +263 (0)4 883405, +263 (0)4 860320-9, Concern Worldwide Email: [email protected] Oxfam Web: www.fnc.org.zw Action Contre la Faim Food and Agriculture Organisation World Food Programme United States Agency for International Development FEWS NET The Baseline work was coordinated by the Food and Nutrition Council (FNC) with Save the Children providing technical leadership on behalf of ZimVAC. Zimbabwe Vulnerability Assessment Committee August 2011 Page | 1 Zimbabwe Rural Livelihood Baselines Synthesis Report 2011 Acknowledgements Funding for the Zimbabwe Livelihoods Baseline Project was provided by the Department for International Development (DFID) and the European Commission (EC). The work was implemented under the auspices of the Zimbabwe Vulnerability Assessment Committee chaired by George Kembo. Daison Ngirazi and Jerome Bernard from Save the Children Zimbabwe provided management and technical leadership. -
Zimbabwe Health Cluster Bulletin
Zimbabwe Health Cluster bulletin Bulletin No 9 15-23 March 2009 Highlights: Cholera outbreak situational update • About 92,037 cases and From the beginning of the cholera out- 4050 deaths, CFR 4.4% break in August 2008 to date, all prov- and I-CFR 1.8% inces and 56 districts have been af- fected. By 21 March, a total of 92, 037 • Outbreak appears to be on the decrease cases and 4,105 deaths had been re- ported, giving a crude Case Fatality Ratio • Cholera hotspots now in (CFR) of 4.4%. This week, 51% of all 62 Harare and Chitungwiza districts have reported. cities Preliminary results from an ongoing • Cholera Command & analysis of the cholera outbreak by WHO Control Centre continue with provincial sup- epidemiologists indicate that the out- port and monitoring visits break is indeed slowing down. While this is good news, some areas remain hot- spots especially Chitungwiza and Harare city, which are affected by water short- ages and poor waste disposal systems. Chitungwiza is of particular interest be- cause it was the initial focus of the out- Inside this issue: break in August 2008. A further risk analysis in Chitungwiza and Cholera situation 1 Harare is being carried out by a monitor- ing and evaluation team from the cholera Missions to Zimbabwe 2 command and control centre. Coordination updates 2 Mashonaland west province has also re- ported, Kadoma district specifically, is C4 weekly meetings 2 experiencing an upsurge in cases. A team from the C4 has been dispatched Who, what, where, 3 this week to investigate this. -
ZIMBABWE COUNTRY of ORIGIN INFORMATION (COI) REPORT COI Service
ZIMBABWE COUNTRY OF ORIGIN INFORMATION (COI) REPORT COI Service 25 March 2011 ZIMBABWE 25 MARCH 2011 Contents Preface Latest News EVENTS IN ZIMBABWE FROM 22 FEBRUARY 2011 TO 24 MARCH 2011 Useful news sources for further information REPORTS ON ZIMBABWE PUBLISHED OR ACCESSED BETWEEN 22 FEBRUARY 2011 AND 24 MARCH 2011 Paragraphs Background Information 1. GEOGRAPHY ............................................................................................................ 1.01 Public holidays ..................................................................................................... 1.06 Map ........................................................................................................................ 1.07 2. ECONOMY ................................................................................................................ 2.01 Remittances .......................................................................................................... 2.06 Sanctions .............................................................................................................. 2.08 3. HISTORY (19TH CENTURY TO 2008)............................................................................. 3.01 Matabeleland massacres 1983 - 87 ..................................................................... 3.03 Political events: late 1980s - 2007...................................................................... 3.06 Events in 2008 - 2010 ........................................................................................... 3.23 -
Health Cluster Bulletin 11Ver2
Zimbabwe Health Cluster bulletin Bulletin No 11 1-15 April 2009 Highlights: Cholera outbreak situation update • About 96, 473 cases and 4,204 deaths, CFR 4.4% Following a 9 week decline trend in cholera cases, an upsurge was reported during epidemi- • Sustained decline of ological week 15. Batch reporting in three districts may have contributed to this slight in- the outbreak crease. • Cholera hotspots in The cumulative number of Mashonaland west, Cholera in Zimbabwe reported cholera cases was Harare and Chitungwiza 17 Aug 08 to 11th April 09 96, 473 and 4204 deaths with 10,000 cities cumulative Case Fatality Rate 8,000 Cases Deaths (CFR) as of 4.4 as of 15 April. During week 15, a 17% de- 6,000 crease in cases and 5% in- 4,000 crease in deaths was re- Number ported. The crude CFR is 2.7% 2,000 compared to 2.9% of week 14 0 while the I-CFR is 1.8% com- pared to 2.7% of week 14. The w2 w4 w6 w8 w36 w38 w40 w42 w44 w46 w48 w50 w52 w10 w12 w14 CFR has been steadily de- weeks clined although the proportion of deaths in health facilities has increased compared to Cholera in Zimbabw e from 16 Nov 08 to 11th A pril 09 those reported in the commu- W eekly c rude and institutional c ase-fatality ratios 10 nity. CFR 9 This is probably an indication Inside this issue: 8 iCFR 7 of more people accessing 6 treatment and/or the increas- Cholera situation 1 5 ing role of other co- 4 morbidities presenting along- ORPs in cholera 2 3 management percent side cholera.