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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As part of an ongoing effort to promote disability-inclusive humanitarian action in Pacific countries, this policy brief identifies priority actions for disaster readiness, response and recovery. It has been prepared through a collaborative approach and should be a key reference in the future, promo...ting coordination across all levels and stages of the humanitarian cycle in the Region.
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DHS Working Papers No. 103
No publication date indicated.
Obesity and diabetes are affecting the peoples of the Americas at high and increasing rates. National surveys demonstrate that obesity is increasing in prevalence among all age groups; 7% to 12% of children under 5 years old and
one-fi fth of adolescents are obese, while rates of overweight and obe...sity among adults approach 60%. Obesity is the major modifi able risk factor for diabetes.
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The Actions for Heroes Guide is developed by the Inter-Agency Standing Committee Reference Group on Mental Health and Psychosocial Support in Emergency Settings (IASC MHPSS RG) to accompany reading the children’s storybook My Hero is You, How kids can fight COVID-19! Available in English, French, ...Spanish and Ukranian
https://interagencystandingcommittee.org/iasc-reference-group-mental-health-and-psychosocial-support-emergency-settings/actions-heroes-guide-heart-heart-chats-children-accompany-reading-my-hero-you-how-kids-can-fight
The storybook My Hero is You explains how children can protect themselves, their families and their friends from the coronavirus and how to manage difficult emotions when confronted with our new and rapidly changing reality. The storybook has been translated into 135+ languages and multimedia adaptations have been made.
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The frequency of infectious disease epidemics is increasing, and the role of the health sector in the management of epidemics is crucial in terms of response. In the context of infectious disease epidemics, the use of climate-informed early warning systems (EWS) has the potential to increase the eff...ectiveness of disease control by intervening before or at the beginning of the epidemic curve, instead of during the downward slope.
Currently, the initiation of interventions is heavily reliant on routine disease surveillance systems – data that often arrive too late for preventative response. However, forecasting of disease outbreaks using surveillance and weather information shows promising potential – there also remains further scope to examine seasonal climate forecasts. By combining these elements in new EWS based on computational models, it will be possible to improve both the timeliness and impact of disease control. The World Health Organization (WHO) is strengthening existing surveillance systems for infectious diseases to enable the development of more robust and timely EWS, which has resulted in the rapid development and innovation of EWS for disease outbreaks.
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The elimination scenario planning (ESP) manual provides malaria-endemic countries with a comprehensive framework to assess different scenarios for moving towards this goal, depending on programme coverage and funding availability. It also helps countries set realistic timelines and provides essentia...l knowledge for strategic planning in the long term.
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Prepared by the Independent Panel for Pandemic Preparedness and Response for the WHO Executive Board, January 2021
“The world was not as prepared as it should have been, and it must do better,” concludes a WHO panel reviewing the pandemic response "
Compilation of country case studies and best practices. World Health Report (2010) Background Paper, 25