This report documents the secondary humanitarian problems and impacts of large-scale Ebola outbreak on the different humanitarian sectors, to provide a non-exhaustive plan to help future responders. A large scale Ebola outbreak, in this document, re...fers to an epidemic with an unprecedented scale, geographical spread and duration.
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Saudi Journal of Biological Sciences. http://dx.doi.org/10.1016/j.sjbs.2016.03.006
Open Access
The Impact of the Zika Outbreak on Women and Girls in Northeastern Brazil
Humanitarian emergencies, regardless of type and cause, have a number of common risk factors for communicable diseases inextricably linked to excess risk of morbidity and mortality which can come from vaccine–preventable diseases (VPDs). The reduction of VPDs is a significant aim of public-health ...interventions during crises.
The WHO Strategic Advisory Group of Experts (SAGE) on Immunization carried out a comprehensive review of evidence on vaccination decision-making processes and considerations in humanitarian emergencies.
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BMC Health Services Research BMC series – open, inclusive and trusted201818:251; https://doi.org/10.1186/s12913-018-3072-3
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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Noncommunicable diseases country profiles 2014
This brief focuses specifically on the Grand Nord (Great North): the Beni and Lubero territories of northern North Kivu that are the epicentre of the outbreak. Further participatory enquiry should be undertaken with the affected populations, but given ongoing transmission, conveying key consideratio...ns and immediate recommendations have been prioritised.
This brief is based on a rapid review of existing published and grey literature, professional ethnographic research in DRC, personal communication with administrative and health officials and practitioners in the country, and experience of previous Ebola outbreaks.
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Cette note stratégique porte spécifiquement sur le Grand Nord : soit les territoires de Beni et de Lubero au nord du Nord-Kivu constituant l’épicentre de la flambée épidémiquee. D’autres enquêtes participatives doivent être menées auprès des populations touchées, mais étant donné l...actuelle transmission du virus, la priorité a été accordée à la communication des considérations clées et des recommandations immédiates.
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