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2
Liberia: Demographic and Health Survey 2019-2020
Liberia Institute of Statistics and Geo-Information Services (LISGIS) Monrovia, Liberia
The DHS Program ICF
(2021)
C2
The LDHS provides an opportunity to inform policy and provide data for planning, implementation, and monitoring and evaluation of national health programs. It is designed to provide up-to-date information on health indicators including fertility levels, sexual activity, fertility preferences, awaren
...
ess and use of family
planning methods, breastfeeding practices, nutritional status of children, early childhood and maternal mortality, maternal and child health, and awareness and behaviors regarding HIV/AIDS and other sexually transmitted infections. The study also incorporated measurements of HIV, hepatitis B, and hepatitis Cprevalence along with seroprevalence of Ebola virus disease antibodies, the results of which will be included in future addendums. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s 15 counties, and the capital, Monrovia.
more
This document aims to provide guidance to countries in the identification of priority areas
for intervention as part of the Situational Analysis of their National Cholera Control or
Elimination Plans (NCPs).
Objective: To conduct a landscape assessment of public knowledge of cardiovascular disease risk factors and acute myocardial infarction symptoms, cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) awareness and training in three underserved communities in Brazil.
Metho
...
ds: A cross-sectional, population-based survey of non-institutionalised adults age 30 or greater was conducted in three municipalities in Eastern Brazil. Data were analysed as survey-weighted percentages of the sampled populations.
Results: 3035 surveys were completed. Overall, one-third of respondents was unable to identify at least one cardiovascular disease risk factor and 25% unable to identify at least one myocardial infarction symptom. A minority of respondents had received training in CPR or were able to identify an AED. Low levels of education and low socioeconomic status were consistent predictors of lower knowledge levels of cardiovascular disease risk factors, acute coronary syndrome symptoms and CPR and AED use.
Conclusions: In three municipalities in Eastern Brazil, overall public knowledge of cardiovascular disease risk factors and symptoms, as well as knowledge of appropriate CPR and AED use was low. Our findings indicate the need for interventions to improve public knowledge and response to acute cardiovascular events in Brazil as a first step towards improving health outcomes in this population. Significant heterogeneity in knowledge seen across sites and socioeconomic strata indicates a need to appropriately target such interventions.
more
This is the 42nd situation report for the multi-country outbreak of mpox, which provides an update on the epidemiological situation of mpox in Africa (including countries in the WHO African Region and some countries in the WHO Eastern Mediterranean Region), with data as of 3 November 2024.
Women and children, especially pregnant girls and women, infants and young children and postpartum women, are populations that are extremely vulnerable in emergencies. Breastfeeding provides children with hydration, comfort, connection, high quality nutrition and protection against disease, shieldin
...
g them from the worst of emergency conditions. This ability has been described as empowering and healing by some breastfeeding women.
more
It is our hope and prayer that the guidance and multiple tools provided herein to manage
the entire lifecycle of a food security program are useful to our food security staff, our
local partners, and our fellow international Cooperating Sponsors throughout the world.
- Regional analysis of acute food insecurity: Current situation (February-March 2015)
Rapid assessment of disability in the Philippines: understanding prevalence, well-being, and access to the community for people with disabilities to inform the W-DARE project
Manjula Marella, Alexandra Devine, Graeme Ferdinand Armecin et al.
Population Health Metrics
(2016)
CC
BioMed Central DOI 10.1186/s12963-016-0096-y
Trends and determinants of neonatal mortality in Nepal
Paudel, D., A. Thapa, P. R. Shedain, and B. Paudel
Nepal Ministry of Health and Population, New ERA, and ICF International
(2013)
C2
Further analysis of the Nepal Demographic and Health Surveys, 2001-2011
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. more
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. more
The report studied child poverty in nine dimensions – development/stunting, nutrition, health, water, sanitation, and housing. Other dimensions included education, health related knowledge, and information and participation.
An estimated 36 million of a total population of 41 million children und
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er the age of 18 in Ethiopia are multi-dimensionally poor, meaning they are deprived of basic goods and services in at least three dimensions
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