Climate change is damaging human health now and is projected to have a greater impact in the future. Low- and middle-income countries are seeing the worst effects as they are most vulnerable to climate shifts and least able to adapt given weak health systems and poor infrastructure. Low-carbon appro...ach can provide effective, cheaper care while at the same time being climate smart. Low-carbon healthcare can advance institutional strategies toward low-carbon development and health-strengthening imperatives and inspire other development institutions and investors working in this space. Low-carbon healthcare provides an approach for designing, building, operating, and investing in health systems and facilities that generate minimal amounts of greenhouse gases. It puts health systems on a climate-smart development path, aligning health development and delivery with global climate goals. This approach saves money by reducing energy and resource costs. It can improve the quality of care in a diversity of settings. By prompting ministries of health to tackle climate change mitigation and foster low-carbon healthcare, the development community can help governments strengthen local capacity and support better community health.
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DHS Working Papers No. 119
DHS Working Papers No. 106
This tool is a living document that provides guidance on good partnership practices that promote strong relationships between civil society organizations and government representatives on engaging men and boys in gender equality and sexual and reproductive health and rights
(SRHR). ...Its goal is to strengthen these partnerships in order to enable the scale up and/or institutionalization of evidence-based approaches to engaging men and boys.
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MODULE 5 RESOURCE GUIDE | This guide is part of a series of manuals that focuses on six topics in Early Childhood Development (ECD): different programming approaches, basic concepts, assessments, early childhood environments, children with special needs and child protection, and the health, safety a...nd nutrition of young children. The series was prepared within a three-year CRS-led project called “Strengthening the Capacity of Women Religious in Early Childhood Development,” or “SCORE ECD.” Funded by the Conrad N. Hilton Foundation, the project helps Catholic sisters in Kenya, Malawi, and Zambia in their work with children aged 0-5 years and their families. The project is being implemented from January 2014 to December 2016
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special education, culture, psychology, education, policy
Contact No 175 - October December 2001
Disability inclusive practices for strengthening comprehensive eye care
This journal is funded by CBM
ESCAP Project on improving disability measurement and statistics in the Asia Pacfic Region
Webinar.
The purpose of this booklet is to help readers understand why data on children with disabilities are currently inadequate, the difficulties that surround the gathering of high-quality data on disabled children, and why there is a real need to improve the collection, analysis, dissemination... and use of disability data.
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A guide for community health workers, rehabilitation workers, and families.
This manual covers identifying primary and secondary disabilities, developing skills for daily living, and working through behavior problems. The new 2018 edition features new topics, including mental and developmental di...sabilities, microcephaly and Zika, causes of birth defects and childhood disability, epilepsy and seizures, hearing loss and vision problems, HIV, leprosy, and more, and has updated information on polio, cerebral palsy, juvenile arthritis, muscular dystrophy, and medications.
Readers will find instructions on how to build six different wheelchairs using local resources; useful therapy techniques, such as making fun and educational toys; ideas for improving playground accessibility for all children; and low-cost rehabilitation aids and adaptations for home and community.
You can download chapter 4 for free. The complete book is available at Hesperian Book STore
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you can find all 14 Technical Booklets on Inclusive Education, produced by UNICEF, in ENGLISH. Other versions can be found on the website https://www.ded4inclusion.com/inclusive-education-resources-free/unicef-inclusive-education-booklets-and-webinars-english-version. Each Technical Booklet (and com...panion webinar) introduces a sub-theme of particular interest within Inclusive Education, and each was written by an expert, and peer-reviewed widely
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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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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 misclassification 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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