This report is from the National study on living conditions among people
with disabilities carried out in Nepal in 2014-2015. The study was carried
out as a household survey with two-stage stratified sampling, including a screening/listing procedure using the Washington Group on Disability
Statis...tics 6 questions, one Household questionnaire administered to
households with (Case HHs) and without disabled members (Control
HHs), one Individual Case questionnaire administered to individuals who were found to qualify as being disabled in the screening (Case
individuals), and an Individual Control questionnaire administered to
matched non-disabled individuals in the Control HHs (Control individuals). The study covers a range of indicators on level of living, such as socioeconomic indicators, economic activity, income, ownership and infrastructure, health (including reproductive health), access to health information, access to services, education, access to information, social participation, and exposure to discrimination and abuse (see all
questionnaires in Appendix).
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In 2015, the National Institute of Statistics of Rwanda published the Rwanda Poverty Profile Report 2013/2014,which provided a detailed portrait of the extent and nature of poverty in the country, based on information collected by an integrated household living conditions survey (EICV4) undertaken b...etween October 2013 and September 2014.
This report complements the study by looking at the trends in poverty between 2010/11 and 2013/14.It is essential to examine changes in poverty over time, because one of the most important goals of economic Sustainable Development Goals is to eliminate severe poverty by 2030.
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This is a report from a National, representative household survey carried out in Swaziland in 2009 – 2010. A large amount of effort has been put into this two‐year exercise until finally we can present the results of the combined efforts. First of all, this is a credit to the Federation of Disab...led People in Swaziland (FODSWA): To the Management Committee headed by Ms. Buyie Masuku for being in control of the whole process, and to the Project Co‐ordinator Mr. Bhekie Jele who for the most of the study handled all aspects in this comprehensive and complex process. Mr Yusman B Kamaleri from SINTEF played an important role in supporting FODSWA during the implementation of the study.
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The Fifth Integrated Household Living Survey (EICV5) was conducted from October 2016 to October 2017, and is designed to provide accurate and up-to-date information that are useful to government, analysts and the public as they seek to monitor and evaluate efforts to reduce poverty.
This report pre...sents and discusses key results from the EICV5 in the areas of demographic characteristics, migration, health, education, the characteristics of households and dwellings in Rwanda, economic activity patterns, environmental issues and households' access to credits and savings.
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An attempt has been made to map the incidence of uni-dimensional and multi-dimensional poverty simultaneously arguably for the first time in Pakistan. While multi-dimensional poverty map is calculated using PSLM 2010-11; small area estimation technique is utilized to map uni-dimensional poverty usin...g both nationally representative HIES (Household Integrated Economic Survey) and district-level representative PSLM (Pakistan Standard of Living Measurement) for the same year of 2010-11. The result indicates the existence of spatial distribution of poverty pockets in each of the four provinces of Pakistan. Furthermore, it is also observed that these pockets of poverty are more concentrated in the desert and mountains regions of the country.
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This is a report from a National, representative household survey carried out in Botswana in 2012 – 2014. The study was carried out on behalf of the Norwegian Federation of Organisations of Disabled Persons (FFO), Southern Africa Federation of the Disabled (SASFOD) and Botswana Federation of Disab...led People (BOFOD). The study was led by Professor Tlamelo Mmatli of the University of Botswana, in collaboration with SINTEF Technology and Society. The study would not have been possible without a strong commitment from the Office of the President of Botswana and support from the Central Statistical Office. The study presents a broad picture of the situation among individuals with disability and households with disabled members in Botswana. It offers comparison with individuals without disability and households without disabled members, between provinces and between genders and locations (urban/rural). The study reveals that households with disabled members and individuals with disability score lower on a range on indicators on level of living.
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The Kabeho Mwana project (2006–2011) supported the Rwanda Ministry of Health (MOH) in scaling up integrated community case management (iCCM) of childhood illness in 6 of Rwanda’s 30 districts. The project trained and equipped community health workers (CHWs) according to national guidelines. In p...roject districts, Kabeho Mwana staff also trained CHWs to conduct household-level health promotion and established supervision and reporting mechanisms through CHW peer support groups (PSGs) and quality improvement systems. The iCCM model implemented by Kabeho Mwana resulted in greater improvements in care-seeking than those seen in the rest of the country. Intensive monitoring, collaborative supervision, community mobilization, and CHW PSGs contributed to this success. The PSGs were a unique contribution of the project, playing a critical role in improving care-seeking in project districts. Effective implementation of iCCM should therefore include CHW management and social support mechanisms. Finally, re-analysis of national survey data improved evaluation findings by providing impact estimates.
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Maternal Child Nutrition. 2017;e12478
This paper analyzes individual level and household level determinants of anemia among children and women in Nepal and Pakistan. Applying multivariate modified Poisson models to recent national survey data, we find that the prevalence of anemia was significa...ntly higher among women from the poorest households in Pakistan (adjusted prevalence ratio [95% CI]: 1.10 [1.04–1.17]), women lacking sanitation facilities in Nepal (1.22 [1.12–1.33]), and among undernourished women (BMI < 18.5 kg/m2) in both countries (Nepal: 1.10 [1.00–1.21] and Pakistan: 1.07 [1.02–1.13]). Similarly, children in both countries were more likely to be anemic if stunted (Nepal: 1.19 [1.09–1.30] and Pakistan: 1.10 [1.07–1.14]) and having an anemic mother (Nepal: 1.31 [1.20–1.42] and Pakistan: 1.21 [1.17–1.26]).
https://doi.org/10.1111/mcn.12478
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DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per...iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat...al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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The Burkina Faso Demographic and Health and Multiple Cluster Indicator Survey 2010 (DHS-MICS), or Enquête Démographique et de Santé et à Indicateurs Multiples du Burkina Faso 2010, was conducted by the Institut National de la Statistique et de la Démographie (INSD) of the Ministry of Economy a...nd Plan (MOEP) in collaboration with the Ministry of Health (MOH), with technical assistance from ICF International. Data for this nationally representative survey were collected from 14,424 households, and complete interviews were conducted with 17,087 women aged 15−49 and 7,307 men aged 15–59. The fieldwork took place from May 2010 to January 2011. The summary statistics presented below were taken from the 2010 Burkina Faso DHS-MICS (INSD and ICF International 2012), with exceptions as noted.
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This report describes findings from a telephone survey with 1,333 people conducted in February 2021. The survey examined how people respond to public health and social measures (PHSMs) to prevent COVID-19. The sample is representative of households with access to a landline or cell phone, but does n...ot include people without access to phones. As phone penetration aries by country, findings should be interpreted with caution.
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This report describes findings from a telephone survey with 1,284 people conducted in February 2021. The survey examined how people respond to public health and social measures (PHSMs) to prevent COVID-19. The sample is representative of households with access to a landline or cell phone, but does n...ot include people without access to phones. As phone penetration varies by country, findings should be interpreted with caution.
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This report describes findings from a telephone survey with 1,328 people conducted in February 2021. The survey examined how people respond to public health and social measures (PHSMs) to prevent COVID-19. The sample is representative of households with access to a landline or cell phone, but does n...ot include people without access to phones. As phone penetration varies by country, findings should be interpreted with caution.
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This report describes findings from a telephone survey with 1,316 people conducted in February 2021. The survey examined how people respond to public health and social measures (PHSMs) to prevent COVID-19. The sample is representative of households with access to a landline or cell phone, but does n...ot include people without access to phones. As phone penetration varies by country, findings should be interpreted with caution.
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This report describes findings from a telephone survey with 1,323 people conducted in February 2021. The survey examined how people respond to public health and social measures (PHSMs) to prevent COVID-19. The sample is representative of households with access to a landline or cell phone, but does n...ot include people without access to phones. As phone penetration varies by country, findings should be interpreted with caution.
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East and West Hararghe zones are located within Oromia region, one of the largest and most populated regions of Ethiopia. Like many parts of Oromia and the country, over 80% of the people in East and West Hararghe rely on agricultural livelihoods. This baseline survey target districts are Babile, an...d Kersa in East Hararghe, and Mieso woreda in West Hararghe zone. Babile woreda has a population of 117,682 residing in 22 kebeles. The woreda hosts 14, 545 displaced households from neighboring region Somali. Kersa woreda bordered on the south by Bedeno, on the west by Meta, on the north by Dire Dawa, on the northeast by Haro Maya, and on the southeast by Kurfa Chele. The woreda has a population of 243,544 peoples residing in 38 kebeles and it has hosted 874 household IDPs displaced from Somali region. Mieso woreda is bordered on the south by Guba Koricha, on the west by the Afar Region, on the north by the Somali Region, on the east by Doba and on the southeast by Chiro. It has a total population of 130,709.
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This report presents the key findings of the end-of-project assessment of households and
community health volunteers, conducted in 2017 in the Kamukunji and Embakasi sub-counties
of Nairobi, Kenya, for a Community Health Volunteers’ Decision Support System (CHV DSS)
intervention project. The re...port was prepared by the African Population and Health Research
Center (APHRC). The end-line survey was implemented by APHRC. Implementation of the CHV
DSS project is a joint collaboration among several partners, including APHRC, the City County
of Nairobi, sub-county health management teams (Kamukunji and Embakasi), and community
health volunteers. The opinions expressed in this report are those of the authors and do not
necessarily reflect the views of the donor organization, the County Innovation Challenge Fund
for Kenya.
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The authors conduct an integrated survey of Antimicrobial Resistant Organisms (AMR) in drinking water, wastewater and surface water in three settings in Bangladesh: rural households, rural poultry farms, and urban food markets. Results show that untreated water discharged from rural households, poul...try farms and urban markets are major contributors to surface water pollution and antibiotic resistant bacteria genes, calling for increased surveillance and monitoring.
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Noncommunicable diseases (NCDs) are responsible for 81% of all deaths in the region of the Americas, of which 34% befall prematurely in people between 30- 69 years old. The burden of theses diseases and their common risk factors jeopardize the health systems to provide adequate management, as well a...s to implement customized policies and interventions. The PAHO/WHO STEPwise approach to NCD risk factor surveillance (STEPS) is a simple, sequential, standardized method for collecting, analyzing, and disseminating data on key NCD risk factors in countries in adults from 18 to 69 years old. This survey covers key modifiable risk factors: tobacco use, alcohol use, physical inactivity, and unhealthy diet, as well as key biological risk factors: overweight and obesity, raised blood pressure, raised blood glucose, and abnormal blood lipids. STEPS is a household survey that gathers information on the risk factors through a face-to-face interview (step 1), simple physical measurements (step 2), and collection of urine and blood samples for biochemical analysis (step 3). Every step has a core set of questions, measurements, and expanded sets depending on the countries' needs and interests. It also has optional modules. Implementing STEPS allows the comparability of data within and between countries due to its standardized data collection. It also helps health services plan public health priorities and monitors and evaluates population-wide interventions. It is designed to help countries build and strengthen their capacity to conduct surveillance. STEPS captures 11 of the 25 indicators outlined in the NCD Global Monitoring Framework relating to 7 of the nine global targets.
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