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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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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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 "
Getting to Zero
Sustainable Financing of National HIV Responses
2nd edition. This second edition builds on the experience of more than 10 years of SMC deployment, and reflects changes introduced in the WHO guidelines for malaria, 3 June 2022. The goal of this publication is to share these best practices to improve SMC implementation, coverage, and monitoring and... evaluation. Examples of materials and tools as well as links to resources are included to support managers and health workers in their efforts to conduct successful SMC activities and prevent malaria among vulnerable children.
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The Manual for Indoor Residual Spraying in Urban Areas for Aedes aegypti Control is intended not only for operational personnel and middle and senior management of programs responsible for the prevention and control of Aedes-borne diseases, but also for the academic community involved in Aedes resea...rch, private pest control personnel, and the general public.
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Le Plan Stratégique National de Lutte contre le Paludisme au Sénégal 2021–2025 a pour objectif de réduire l’incidence et la mortalité liées au paludisme d’au moins 75 % par rapport à 2019 et d’interrompre la transmission locale dans au moins 80 % des districts éligibles. Il repos...e sur une approche multisectorielle combinant prévention (moustiquaires, pulvérisation, chimioprévention), diagnostic, traitement, surveillance, gestion des stocks et communication pour le changement de comportement. Le plan vise aussi à renforcer la gouvernance, l’équité, la recherche et la mobilisation des ressources, en s’appuyant sur les partenariats locaux, privés et internationaux pour atteindre l’objectif d’un Sénégal sans paludisme à l’horizon 2030.
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This guide aims to provide an overview of successful practice from the field for the disaster risk reduction/management practitioner interested in EWS. It presents guiding principles that will build a strong foundation for the design or strengthening of EWS at any level. It is not an operational, bu...t a strategic, guide that insists on asking the right questions and exploring all perspectives prior even to deciding whether or not early warning is the appropriate tool for a given context.
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The Multi-Hazard Early Warning System (MHEWS) Checklist is a practical tool consisting of major components and actions that national governments, community organizations and partners within
and across all sectors can refer when developing or evaluating early warning systems
interim guidance, 14 June 2021
This document is intended for national authorities and decision makers in countries that have introduced large scale public health and social measures. It offers guidance for adjusting public health and social measures, while managing the risk of a resurgence of cases....
Available in English, Arabic, Chinese, French, Russian and Spanish
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Un Plan humanitaire multisectoriel spécifique à la réponse COVID-19 a été développé en avril 2020. Il s’agit d’un Addendum au Plan de réponse humanitaire 2020 (PRH) qui a pour but d’intégrer l’impact de la pandémie de COVID-19 sur les besoins humanitaires existants, ainsi que sur l...es activités des partenaires humanitaires en République Démocratique du Congo (RDC).
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