Integrated HIV Behavioral and Serologic Surveillance
ECDC MISSION REPORT 19–21 September 2016 ; 14–15 November 2016
Six months since the start of Congo’s latest Ebola outbreak – the second worst in history, with more than 400 people dead – this special report evaluates efforts to prevent the disease from spreading internationally and sparking a regional crisis
Mission report: June 11-20, 2017
The publication conveys the quantitative surveillance results focusing on tobacco use and noncommunicable disease (NCD) related behaviours among youth (13–15 years) in Member States of the WHO South-East Asia Region, namely, the Global School-based Student Health Survey (GSHS) and the Global Youth... Tobacco Survey (GYTS). This publication contains selected indicators relating to tobacco use and other related risk behaviours of youth (aged 13–15 years) in Member States of the WHO South-East Asia Region. The tobacco indicators are mainly taken from GYTS and other indicators relating to risk behaviours (dietary behaviours, physical activity, alcohol use, drug use, mental health, violence and unintentional injury, sexual behaviours, protective factors and hygiene) are taken from GSHS. The latest findings from surveys conducted in Member States are presented in the publication.
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TB remains one of the world’s deadliest infectious diseases, second only to COVID-19, and drug-resistant TB strains are still a major concern. In the fight against TB, urgent investment is critical, especially in the context of the ongoing pandemic.
Adapté de OMS VHF/SARI_Case_Record_Form 2016
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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This report highlights key achievements registered by the Ministry of Health, affiliated institutions, implementing agencies both at central and decentralized levels in 2013-2014. Generally, the Health Sector accomplishments and programs routine data for 2013-2014 confirm that Rwanda maintains its p...rogress towards the realization of health-related MDGs and national health targets as well.
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A Situational Assessment and Five-YearAction Plan for the Africa CDC Strengthening Regional Public Health Institutions and Capacity for Surveillance and Response Program
Over 18 months into the pandemic, WHO continues to conductglobal surveillance of COVID-19as part of activities on preparedness, readiness and response activities. The need for global surveillance of COVID-19 is greater than ever, asthe implementation of vaccination campaigns and the appearance of va...riants are prone to impact the course of the epidemic, as transmission patterns evolve. Timely and complete surveillance data are key to monitoring these changes.
Features include stratification by age and sex, trends over time, case fatality ratios by age, testing, hospitalization, and data on health workers –all visible at country and regional levels. The dashboard provides the ability for users to conduct further analyses by country and selected time period.
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The Quadripartite organizations have developed the One Health Priority Research Agenda for AMR report, this is a joint initiative to assist in directing and catalysing scientific interest and financial investments for the priority research agenda across sectors for countries and funding bodies. The ...research agenda also serves as a guide to mitigate One Health AMR that will help policymakers, researchers, and a multidisciplinary scientific community work together on solutions to prevent and mitigate AMR within the One Health approach.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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