What at first glance appears to be simple causality – climate change leading to more and more migration – has triggered intense academic debate over the past ten years because the circumstances are complex. There is need for a thorough analysis in the ground between denying the problem and asser...ting immediate causality. In international relations, migration induced by climate change and environmental degradation is increasingly recognized as a problem, whether in the framework of international climate policy, international migration policy, development cooperation, or international crisis management. But considering the dimension of these major challenges, only small steps have been taken so far. The scope of the problem continues to be underestimated. Climate change is jeopardizing the livelihoods of more and more people. It is a risk multiplier. Although understanding of the connection between climate change and migration has increased, many questions have yet to be answered. We need more knowledge to better support the people affected.
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Research Article
PLOS ONE | https://doi.org/10.1371/journal.pone.0189770 January 2, 2018
Towards a Healthier Botswana
DHS Working Papers No. 83.
This study examined the quality of facility-based maternal and newborn health care by describing the implementation of recommended practices for maternal and newborn care among health care facilities to determine whether increased training, supervision, and incentives for health workers were associa...ted with implementing these recommended practices.
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To understand the patterns of Rwanda’s achievements in health development, it is important to explore how Rwanda addresses the Social Determinants of Health (SDH) particularly those related to routine conditions in which people are born, live and work. It is in this particular context that a case ...study on Rwanda’s Performance in Addressing Social Determinants of Health was conducted by the Rwanda Ministry of Health, with technical and financial support from the World Health Organization (WHO). The overall goal of the exercise was to document Rwanda's recent initiatives that contribute to the advancements of the Rio Political Declaration on Social Determinants of Health.
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DHS Analytical Studies No. 39
This study aimed to understand the patterns of HIV drug resistance in pregnant women in Mozambique. This might help in tailoring optimal regimens for prevention of mother to child transmission of HIV (pMTCT) and antenatal care.
This pan-African report describes and analyses the cultural, social, physical and other societal barriers preventing children with disabilities in Africa from realising their full human potential. It also describes the opportunities, initiatives and good practices that exist, that indicate the progr...ess, albeit insufficient, that has been made towards realising the rights for children with disabilities in Africa. Recommendations and priorities for action are presented which promote inclusive and accessible laws, policies, and programmes for children with disabilities throughout Africa
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This 2016-2020 public-private mix strategic plan (PPM SP) is a 4-year framework designed to guide the National TB Control Programme (NTP) and its partners to implement PPM in Bangladesh. It provides goals, strategies and interventions for expanding and scaling up current PPM models and outlines appr...oaches to further enhance and strengthen PPM coordination and partnerships among NTP, nongovernmental organizations (NGOs) and private health providers
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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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