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DHS Working Papers No. 113
Predictors of IPTp Uptake among Pregnant Women in the 2010-2011 Zimbabwe Demographic and Health Survey
Chikwasha, Vasco, Isaac Phiri, Pugie Chimberengwa, Donewell Bangure, and Simbarashe Rusakaniko
ICF International
(2014)
C2
DHS Working Papers No. 112 | Zimbabwe Working Papers No. 13
DHS Working Papers No. 111 | Zimbabwe Working Papers No. 12
DHS Working Papers No. 110 | Zimbabwe Working Papers No. 11
Spousal Gender-Based Violence and Women’s Empowerment in the 2010-2011 Zimbabwe Demographic and Health Survey
Netsayi Wekwete, Naomi, Hamfrey Sanhokwe, Wellington Murenjekwa, Felicia Takavarasha, and Nyasha Madzingira.
ICF International
(2014)
C2
DHS Working Papers No. 108 | Zimbabwe Working Papers
No. 9
Application for Program Design in the Europe and Eurasia Region
Understanding The UN Convention On The Rights Of Persons With Disabilities
A tutorial for trainers in healthcare settings
Version 2: 2 Dec 2014
"The document focuses on an extended set of PPE components, which includes goggles, respirators, gloves,
coveralls and footwear. Used properly, these PPE components can provide effective protection even from airborne
transmissi
...
on. The presented PPE components can be used in a variety of settings and also in different
combinations. At the same time, the tutorial shall encourage trainers and users to understand the rationales behind
the different approaches. "
more
02 - Series on Disability-Inclusive Development
Medical Peace Work Textbook, 2nd edition, Course 3: War, weapons and conflict strategies
Salvage J, Rowson M, Melf K, Wilmen A
(2012)
C1
This course describes the health effects of war, weapons and strategies of violent conflict. Beginning with weapons of mass destruction it then moves on to other weapons and strategies of war such as the use of landmines and mass rape. The course concludes with a number of lessons which give an hist
...
orical and practical analysis of the response of health professional groups to war and militarisation.
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Long-lasting insecticide-treated nets and/or indoor residual spraying, associated with case
management, are key interventions in the control of malaria in Africa. The objective of this
study is to comment on the role of social and behavior change communication as a potential
key intervention in t
...
he control of malaria in Mozambique.
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Pan African Medical Journal 2017;27:215. doi: 10.11604/pamj.2017.27.215.12994
This report outlines the results of a scientific study of the impacts of weather, climate variability, and climate change on health in Mozambique, with a focus on diarrheal disease and malaria.
DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat
...
al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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HIV Knowledge and Risky Sexual Behavior among Men in Rwanda
Rugigana, Etienne, Francine Birungi, and Manassé Nzayirambaho
Rockville, Maryland, USA: ICF International
(2014)
C2
DHS Working Papers No. 105 - Rwanda has developed and implemented many strategies at the national level to reduce the incidence of HIV in the general population. One of the main objectives of such interventions is to improve the general level of knowledge of HIV, with the hypothesis that increasing
...
HIV knowledge will reduce risky sexual behavior. However, there has been a concern that HIV knowledge may not necessarily reduce risky sexual behavior. Only a limited number of population-based studies describe the results of these interventions in terms of how HIV knowledge affects risky sexual behavior. Therefore, the aim of this paper is to fill in this gap, by exploring HIV knowledge and its effect on risky sexual behavior among men in Rwanda.
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Measuring the Success of Family Planning Initiatives in Rwanda: A Multivariate Decomposition Analysis.
uhoza, Dieudonné Ndaruhuye, Pierre Claver Rutayisire, and Aline Umubyeyi.
Calverton, Maryland, USA: ICF International
(2013)
C2
DHS Working Papers No. 94 - This study described the family planning initiatives in Rwanda and analyzed the 2005 and 2010 RDHS data to identify factors that contribute to the increase in contraceptive use. The Blinder-Oaxaca technique was used to decompose the contributions of women’s characterist
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ics and their effects.
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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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