Doc. No.: INS/GDL/001-(Annexes)
Défis et progrès. ce rapport présente l’information la plus à jour sur l’incidence de la grossesse non planifiée et de l’avortement à Kinshasa (République démocratique du Congo). La publication du Protocole de Maputo au Journal officiel de la nation en 2018 a formalisé l’obligation... du gouvernement d’élargir l’accès à l’avortement médicalisé dans les conditions énoncées au Protocole. Néanmoins, les obstacles à la mise en œuvre continuent de rendre les services d’avortement sécurisé largement inaccessibles. En conséquence, la majorité des femmes de Kinshasa qui choisissent d’interrompre leur grossesse le font-elles dans la clandestinité — souvent dans des conditions non médicalisées potentiellement dangereuses pour leur santé.
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Program for Early Recovery and Resilience Building from EVD Outbreak in Liberia
Coronavirus disease (COVID-19) outbreak, technical guidance - in Russian
Here you can download different guidelines and prevention & control preparedness documents
Здесь вы можете скачать различные руководящие принципы и документы по пр...едупреждению и контролю готовности
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Le Plan de réponse humanitaire (PRH) 2020 a été révisé et publié en mai 2020 afin d’intégrer l’impact de l’épidémie de COVID-19 sur les besoins humanitaires existants et sur les activités des partenaires humanitaires.
Dans le contexte de l’épidémie de COVID-19, la portée de l...analyse du PRH 2020 a été mise à jour afin d’intégrer les nouveaux besoins et activités liées à la réponse humanitaire au COVID-19 et d’ajuster les priorités humanitaires en prenant en compte l’évolution du contexte opérationnel.
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In Sierra Leone, Health care delivery is organized around a three-tier system i) primary level constituting peripheral health units (community health centers, community health posts, and maternal and child health posts secondary level constituting district hospitals tertiary level comprising region...al and national referral hospitals [Figure 3].
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DHS Working Papers No. 102
The interim Emergency Response Preparedness (ERP) guidance is designed to be a short technical step-by-step guide aimed at non-Humanitarian Response Plan (HRP) countries to support the development, or strengthening, of preparedness measures to ensure that country teams are operationally ready to imp...lement activities to address the potential non-health impacts of the COVID-19 pandemic and its compound effect on existing risks. The interim guidance is based on the IASC 2015 ERP Guidance.
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DHS Analytical Studies No. 51
Child Health, Family Planning, Geographic Information, HIV, Malaria, Maternal Health
This document provides guidelines and tools for monitoring the quality of outsourced viral load test results in India, defining processes and procedures as well as quality indicators and a monitoring checklist for assuring quality of services. Annexes include reporting forms and checklists for monit...oring visits.
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Scientific Brief, 30 June 2020
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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