This document sets out the criteria and procedures to be followed by countries in verifying the interruption of yaws transmission. It is intended for use by international verification teams, national yaws eradication programmes and WHO technical staff involved in the eradication of yaws.
This document provides information to assist countries in developing exit screening plans and Standard Operating Procedures (SOP). This includes the method, tools, and sequence of screening; determining resource needs; communication messages; and the legal considerations of screening.
Key Recommendations for an Inclusive Urban Agenda
This brief presents and addresses some of the challenges that prevent internally displaced persons with disabilities and other vulnerable population groups (elderly, injured persons, pregnant women, etc.) in camp settings from accessing humanitarian services in Iraq and impede on the development of ...an inclusive humanitarian response.
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The overall goal of the Kenya Health Sector Referral Strategy is to improve client access to referral. The objectives of the strategy are to realise improved capacity of health providers to identify clients who require referral, develop protocols that will lead to referral system efficiency and effe...ctiveness, and promote and facilitate information and communication technology (ICT) to manage referrals, improve care, enhance capacity of the referral system in Kenya, provide communication and related equipment, and promote research and innovation for referrals.
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USAID/KENYA Evaluation Services and Program Support (ESPS)
The United States Agency for International Development (USAID) has a solid track record of supporting health and development initiatives in Kenya. AIDS, Population, and Health Integrated Assistance (APHIA) is the agency’s flagship hea...lth initiative in the country. APHIA is currently in its third iteration, APHIAPlus, which began in January 2011 and is slated to end in December 2015. APHIAPlus was designed to contribute to Result 3 (“Increased use of quality health services, products, and information”) and Result 4 (“Social determinants of health”) of USAID/Kenya’s implementation framework. The main technical areas of focus are HIV/AIDS; malaria; family planning (FP); tuberculosis (TB); maternal, newborn, and child health (MNCH); and water, sanitation, and hygiene (WASH).
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A two-week mission was conducted by WASH and quality UHC technical experts from WHO headquarters and supported by the WHO Ethiopia Country Office (WASH and health systems teams) in July 2016, to understand how change in WASH services and quality improvements have been implemented in Ethiopia at nati...onal, sub-national and facility levels; to document existing activities; and through the “joint lens” of quality UHC and WASH, to identify and seek to address key bottlenecks in specific areas including leadership, policy/financing, monitoring and evaluation, evidence application and facility improvements. Ethiopia has implemented a number of innovative and successful interventions.
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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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(August 28 – October 10, 2017)
A nutrition and mortality assessment using SMART methodology was applied and the survey covered 15 statistical (14 districts plus 1) domains countrywide. The main objective of the survey was to assess the current nutrition status of the population, especially ch...ildren 6-59 months old and women of reproductive age (15-49 years of age). The survey also looked at the major contextual factors contributing to undernutrition such as infant and young child feeding (IYCF) practices; food security indicators; water, sanitation and hygiene indicators; and health situation in Sierra Leone
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National Operational Guidelines