Updated: 27 December 2013
Basic Indicators | Nutrition | Health | HIV/AIDS | Education | Demographic Indicators | Economic Indicators | Women | Child Protection | The Rate Of Progress | Adolescents | Disparities By Residence | Disparities By Household...span> Wealth | Early Childhood Development
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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—...principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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This research report provides results from the study on living conditions among people with disabilities in Zambia. Comparisons are made between individuals with and without disabilities and also between households with and without a disabled family... member. Results obtained in Zambia are also compared to those obtained in earlier studies carried out in Namibia, Zimbabwe and Malawi. The Zambian study was undertaken in 2005-2006.
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Accessed on 01.03.2020
Since its inception in 1995, the Multiple Indicator Cluster Surveys, known as MICS, has become the largest source of statistically sound and internationally comparable data on women and children worldwide. In countries as d...iverse as Costa Rica, Mali and Qatar, trained fieldwork teams conduct face-to-face interviews with household members on a variety of topics – focusing mainly on those issues that directly affect the lives of children and women.
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COVID-19 is stretching formal and informal aspects of community life. The pandemic is overwhelming health systems. Country economies are reaching a breaking point, with particularly significant impact for the livelihoods of vulnerable families and those dependent on daily wages. COVID-19 is also aff...ecting community relationships and trust. Lack of trust in government leaders or health officials can lead citizens to be unwilling to accept essential health messages and take the necessary steps to combat the spread of the disease. The stress, fear and emotional vulnerabilities of children and their caregivers can be particularly acute, especially in light of prolonged school closures and the uncertainty about their health system’s capacity to withstand the pandemic or how long community and household quarantines will last.
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A new publication - Waste Management during the COVID-19 Pandemic: from response to recovery - reviews current practices for managing waste from healthcare facilities, households and quarantine locations accommodating people with confirmed or suspec...ted cases of COVID-19. Jointly produced by UNEP, the Institute for Global Environmental Strategies and the International Environmental Technology Centre, the report considers various approaches, identifies best practices and technologies, and provides recommendations for policy-makers and practitioners to improve waste management, over the long term.
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In Kenya, 12.7 percent of sick Kenyans do not seek health care when they are ill with high cost of services being one of the major barriers that accounted for upto 21 percent of those who did not seek care in 2013. Further, 2.6 million Kenyans (6.2 percent) of ...box">households were at risk of impoverishment as a consequence of expenditure on health care depleting household savings and were at a risk of falling into poverty (Republic of Kenya 2015b).
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The case studies in this document are set in different scales and geographies, tackling a wide realm of issues connected to urban housing recovery — locally in Nepal and globally. The case studies are categorized into three:
case studies from partner organizations
case studies from ... class="attribute-to-highlight medbox">households’ perspective
global case studies
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On 6 February at 4:17 am, a 7.8 degrees magnitude earthquake struck southern Turkey near Syria’s
northern border. The US Geological Survey said the earthquake was centered about 33 km (20 miles)
from Gaziantep, a major city and provincial capita...l. Tremors were felt as far away as Lebanon, Greece,
Palestine, and the island of Cyprus. Another big earthquake was felt on the same day at around 1:24
pm local time, largely in the same affected areas. Aftershocks will continue to shake the area as fault
lines adjust to such a huge initial tremor. There’s even a risk—albeit a small one—of an aftershock
bigger than the original quake.
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A booklet on how CHWs were addressing eye health across Africa based on desk research and a survey in 23 countries
A module from the suite of health service capacity assessments in the context of the COVID-19 pandemicINTERIM GUIDANCE5 February2021
The Community needs, perceptions and demand: community assessment toolcan be used by countries to conduct a rapid pulse su...rvey of community health needs and perceptions around effective use of essential health services during the COVID-19 outbreak. The assessment helps to establish an early warning system on the need to implement coping strategies to continue to respond to communities’ health needs throughout the course of the pandemic. This assessment tool is informed by WHO and partner tools and guidance on community health needs, continuity of essential health services and readiness planning for COVID-19
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The package is designed to help address the WASH in Schools monitoring deficit at the national level.
The package consists of three modules:
The EMIS module: a set of basic monitoring questions on WASH in Schools to be incorporated into national Education Monitoring Information Syst...ems (EMIS), usually administered annually;
The survey module: a more comprehensive set of questions, observations and focus group discussion guidelines for use in national WASH in Schools surveys as well as for sub-national, project level or thematic surveys;
The children’s monitoring module: a teacher’s guide and tool set for the monitoring of WASH in Schools by students, including observation checklists, survey questions and special monitoring exercises.
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Malar J (2017) 16:174 DOI 10.1186/s12936-017-1808-x
Background: Since 2004, artemisinin-based combination therapy (ACT) has been the first-line treatment for uncomplicated malaria in Benin. In 2016, a medicine outlet survey was implemented to inves...tigate the availability, price, and market share of anti-malarial treatment and malaria diagnostics. Results provide a timely and important benchmark to measure future interventions aimed at increasing access to quality malaria case management services.
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Stats SA has released an in-depth report on persons with disabilities. The report, written using Census 2011 data, is the first in a series of in-depth analyses of various Census 2011 variables, such as ageing and education.
The report provides statistical evidence relating to the prevalence of dis...ability and characteristics of persons with disabilities at both individual and household levels. Two methods were used to profile disability prevalence and patterns based on the six functional domains, namely seeing, hearing, communication, remembering/concentrating, walking and self-care. These two methods were:
- the level/degree of difficulty in a specific functional domain and;
- the disability index.
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Key messages
● Pre-crisis Infant and Young Child Feeding (IYCF) Practices:
The Code has not been adequately implemented and enforced in Ukraine.
Multiple Indicator Cluster Survey (MCIS) data from 2012: Child ever breastfed (95.4%)...; early initiation of breastfeeding (EIBF) within 1 hr of birth (65.7%); children under 6 months exclusively breastfed (EBF)(19.7%); continued breastfeeding at 1 (37.9%) and 2 years of age (22%); children under 6 months predominantly breastfed (51.6%); children 0-23 months bottle fed (66.6%); introduction of solid, semi-solid or soft foods for children 6-8 months (43.2%).
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Capacity Project Gender Research Brief | In Lesotho, as in many other countries, the HIV and AIDS care burden falls on the shoulders of women and girls in unpaid, invisible household and community work. This gender inequity in HRH needs to be addres...sed to ensure fair and sustainable responses to the need for home and community-based HIV/AIDS care and support. The Capacity Project addressed these issues through a study of men as providers of HIV/AIDS care and support.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential miscl...assification of HIV status through Bayesian latent class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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The Rwandan Ministry of Health recognizes the threat that Non-Communicable Diseases (NCDs) pose to health and development in Rwanda and in 2009 articulates strategies to respond to them in the Health Sector Strategic Plan 2012 - 2018 (HSSP3). Among other things, the plan calls for a national prevale...nce survey on NCD risk factors. This report responds to that call and summarizes the findings of the first NCD risk factor survey in Rwanda conducted from November 2012 to March 2013.
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The mandate of the National Tuberculosis Control Programme is to provide leadership and stewardship to accelerate intense and coordinated efforts to reduce the adult TB burden of 290 per 100,000 population recently established in the 2013 National TB Prevalence ...dbox">Survey. Other key challenges are low TB case notification, unacceptably high TB death rates, low antiretroviral therapy (ART) coverage among TB/HIV patients and low drug-resistant notification and treatment.
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This report summarizes the latest scientific knowledge on the links between exposure to air pollution and adverse health effects in children. It is intended to inform and motivate individual and collective action by health care professionals to prevent damage to children’s health from exposure to ...air pollution. Air pollution is a major environmental health threat. Exposure to fine particles in both the ambient environment and in the household causes about seven million premature deaths each year. Ambient air pollution (AAP) alone imposes enormous costs on the global economy, amounting to more than US$ 5 trillion in total welfare losses in 2013.
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