Cyclone in Mozambique and Zimbabwe
Ebola virus disease in Democratic Republic of the Congo
Humanitarian crisis in Mali
Humanitarian crisis in Central African Republic.
Capability and Performance
The Ideal Clinic Realisation and Maintenance (ICRM) programme was initiated by the National Department of Health in July 2013 in order to systematically improve primary health care (PHC) facilities and the quality of care they provide. The Ideal Clinic framework/dashboard sets out the standards for ...PHC facilities to provide good-quality health services. An Ideal Clinic is defined as a clinic with good infrastructure, adequate staff, adequate medicines and supplies, good administrative processes, and sufficient adequate bulk supplies. Applicable clinical policies, protocols and guidelines are adhered to, and it harnesses partner and stakeholder support.
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The Rwandan Ministry of Health recognizes the threat that Non-Communicable Diseases (NCDs) pose to health and development in Rwanda and in 2009 articulates strategies to respond to them in the Health Sector Strategic Plan 2012 - 2018 (HSSP3). Among other things, the plan calls for a national prevale...nce survey on NCD risk factors. This report responds to that call and summarizes the findings of the first NCD risk factor survey in Rwanda conducted from November 2012 to March 2013.
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“Follow the Voice of Life”
AIDSTAR-One | Case study series October 2011
Climate change, increasing population densities, and intensified globalisation in trade, travel and migration are among the most important factors shaping the 21st century. Each impacts upon population health and the risk of infectious disease, particularly those originating at the human-animal-envi...ronmental interface. The recognition that many risk drivers of infectious disease fall outside of the typical domain of the health sector creates the challenge of identifying and pursuing priorities for cross-sectoral action aimed at strengthening global health security. In response, the One Health concept has emerged, as have related initiatives addressing Planetary Health and Biodiversity and Human Health. From a public health perspective and operationally speaking, the One Health approach offers great potential, emphasising as it does cooperation and coordination between multiple sectors. Yet despite having been a focal point for discussion for over a decade, numerous challenges facing the implementation of One Health preparedness strategies remain. While some are technical, related to the requirement for innovative early warning systems or new vaccines, for example, others are institutional and cultural in nature, given the transdisciplinary nature of the topic. There have thus been calls to address One Health from multiple perspectives, from ecology to the social sciences. In order to further explore this issue and to identify priority areas for action for strengthening One Health preparedness in Europe, ECDC convened an expert consultation on 11–12 December 2017.
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Weekly Epidemiological Record. This report summarizes application of the SAFE strategy against trachoma during 2023. It includes estimates of the global population at risk of trachoma blindness based on district-by-district data submitted to WHO by national programmes. Summarizing the epidemiologica...l situation in this way is inherently complex because, for any district, up to 3 serial estimates of prevalence may be valid at different times during a calendar year.
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Cureus 2024 Jan 16;16(1):e52358. doi: 10.7759/cureus.52358
Twenty-Fourth Annual Trachoma Control Program Review, Summary Proceedings
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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