Miscellaneous
Chapter J.6
Good practice examples from India
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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Human Resources for Health Observer Series No. 16
Rationale for including this intervention in the proposal
Case study
Alliance Ukraine’s experience integrating HIV, harm reduction and sexual and reproductive health programming
Evidence from two pilot projects in India.
This paper presents a bibliometric analysis of the literature on private health aid and official health assistance between 2000 and 2022. It provides an overview of the sites and themes in the literature pertaining to development assistance in health, and collates the significant policy recommendati...ons presented therein. Several crucial findings emerge from the bibliometric analysis: 44.2 percent of the 489 papers/articles assessed focused on lower-middle-income countries, while 37.7 percent focused on low-income countries. However, authors affiliated with institutes and organisations from lower-middle- and low-income countries contributed merely 15.5 percent and 11.8 percent, respectively, of the papers assessed. Most (72.7 percent) were written by authors from highmiddle-
and high-income countries. Additionally, despite non-governmental
organisations, philanthropies, and private businesses constituting about 20 percent of development assistance donors, a mere 4 percent of all papers focused on these entities.
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Emerging evidence and experience to inform risk management in a warming world
The community-BFCI (c-BFCI) manual has been developed to facilitate training of CHVs and stakeholders providing nutrition sensitive services at community level. The manual covers a wide range of topics: basic nutrition, exclusive breastfeeding, complementary feeding, Breast Milk Substitutes Act, gro...wth monitoring and promotion, early childhood development and stimulation, household food and nutrition security and establishment of baby friendly communities.
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MMWR: Recommendations and Reports / Vol. 62 / No. 9
Morbidity and Mortality Weekly Report
October 25, 2013
Zhou et al. Int J Ment Health Syst (2019) 13:10 https://doi.org/10.1186/s13033-019-0263-1