A Systematic Review and Meta-analysis
Clinical Infectious Diseases® 2016;62(12):1586–94
This report presents a framework to link science, policy and practice for a comprehensive assessment of climate mitigation and adaptation investments and their impact on human health.The framework proposes to use weather and climate data to forecast health impacts over time, as well as biophysical a...nd economic models to quantify the outcomes of investments in climate change adaptation and mitigation for relevant sectoral indicators and health co-benefits. It provides guidance on the economic valuation of health co-benefits of climate action, for inclusion in sector-specific cost–benefit analysis (CBA), including the spatial allocation of such costs and benefits.
The framework developed and presented in this study is comprehensive, and provides various entry points for different audiences, including decision-makers in the public and private sectors, researchers and scientists, working in the health sector as well as in other thematic areas and related sectors affected by climate action.
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6 June 2022
These WHO interim recommendations on the use of the Janssen Ad26.COV2.S (COVID-19) vaccine were developed on the basis of advice issued by the Strategic Advisory Group of Experts on Immunization (SAGE) and the evidence summary included in the background document referenced below.
Th...is document has been updated: Version 6 June 2022.
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These WHO interim recommendations on the use of the Astra Zeneca – Oxford University AZD1222 vaccine against Covid-19 were developed on the basis of advice issued by the Strategic Advisory Group of Experts on Immunization (SAGE) and the evidence summary included in the background document referenc...ed below.
This document has been updated: Version 15 March 2022.
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This compendium collates current tools and resources on quality improvement developed by the WHO Service Delivery and Safety Department and provides examples of how the tools and resources have been applied in country settings. The target audience for this document are ministries of health, facility... quality improvement teams, researchers and development agencies. WHO technical programmes, regional and country offices can also use the document in their technical cooperation work with the identified audience. Those working to improve the quality of health service delivery can also make good use of this resource
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BMJ Glob Health 2019;4:e001272. doi:10.1136/bmjgh-2018-001272
Trust is an essential component of successful cooperative endeavours. The global health response to the 2014–2016 West Africa Ebola outbreak confronted historically tenuous regional relationships of trust. Challenging sociopolitical co...ntexts and initially inappropriate communication strategies impeded trustworthy relationships between communities and responders during the epidemic. Social scientists affiliated with the Ebola 100-Institut Pasteur project interviewed approximately 160 local, national and international responders holding a wide variety of roles during the epidemic
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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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South Eastern European Journal of Public Health, EEJPH 2016, posted: 11 January 2016. DOI 10.4119/UNIBI/SEEJPH-2016-85
How do local authorities and humanitarian agencies collaborate when refugees are in transit? An IIED-supported research project is looking at the transit refugee response in Croatia.
The Road to Recovery. This synthesis report is based on three national studies on the evolution of the Ebola epidemic and its impact on Guinea, Liberia and Sierra Leone