The number of confirmed COVID-19 cases detected and reported in each country is influenced by
many factors including limited access and/or utilization of healthcare and COVID-19 testing, limited
surveillance, lack of knowledge amongst the population about when to seek testing, an asymptomatic pres...entation, and other unknown issues. This is true in all countries of the world, and not Africa specific, however there are factors unique to Africa which may also affect the way the virus behaves there. COVID-19 prevalence data are critical for planning effective mitigation strategies and understandingthe true impact of the disease and relevant intervention measures in Africa, which might be quite different from regions with a different population age distribution or risk factor profile.
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The LDHS provides an opportunity to inform policy and provide data for planning, implementation, and monitoring and evaluation of national health programs. It is designed to provide up-to-date information on health indicators including fertility levels, sexual activity, fertility preferences, awaren...ess and use of family
planning methods, breastfeeding practices, nutritional status of children, early childhood and maternal mortality, maternal and child health, and awareness and behaviors regarding HIV/AIDS and other sexually transmitted infections. The study also incorporated measurements of HIV, hepatitis B, and hepatitis Cprevalence along with seroprevalence of Ebola virus disease antibodies, the results of which will be included in future addendums. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s 15 counties, and the capital, Monrovia.
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EID Journal , Volume 27, no.12 , Dec. 2021. Early Release
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections may be underestimated because of limited access to testing. We measured SARS-CoV-2 seroprevalence in South Africa every 2 months during July 2020–March 2021 in randoml...y selected household cohorts in 2 communities. We compared seroprevalence to reported laboratory-confirmed infections, hospitalizations, and deaths to calculate infection–case, infection–hospitalization, and infection–fatality ratios in 2 waves of infection. Post–second wave seroprevalence ranged from 18% in the rural community children <5 years of age, to 59% in urban community adults 35–59 years of age. The second wave saw a shift in age distribution of case-patients in the urban community (from persons 35–59 years of age to persons at the extremes of age), higher attack rates in the rural community, and a higher infection–fatality ratio in the urban community. Approximately 95% of SARS-CoV-2 infections were not reported to national surveillance.
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In this document, recommendations are provided on designing and implementing
a cross-sectional serosurvey using school-based sampling to estimate age-specific
DENV seroprevalence to inform a country’s national dengue vaccination program.
The document includes recommendations for methods for ...planning and conducting
serosurveys, including survey design, specimen collection, laboratory testing, data
analysis, and the interpretation and reporting of results.
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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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A Summary
Accessed: 23.11.2019
22 July 2022. This document summarizes current WHO guidance for public health surveillance of coronavirus disease 2019 (COVID-19) in humans caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
This technical report presents the epidemiology of human and animal leishmaniases in the EU and its neighbouring countries and concludes that the disease remains widespread and underreported in many countries of southern Europe, northern Africa, and the Middle East and that there is a need to improv...e leishmaniasis prevention and control based on robust surveillance in humans, animals, and vectors, and to increase public awareness following a one health approach.
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This algorithm is addressed to laboratories
with established capacity(molecular, antigenic and/orserological) to detect dengue (DENV), Zika (ZIKV), and chikungunya(CHIKV) as part of the differential diagnosis for arborviruses. A BSL2 containment level is required to handle suspected samples.
The aim of this “model contingency plan” is to assist programme managers and planners in devel-oping a national, context-specific, dengue outbreak response plan in order to: (a) detect a dengue outbreak at an early stage through clearly defined and validated alarm signals; (b) precisely define w...hen a dengue outbreak has started; and (c) organize an early response to the alarm signals or an “emergency response” once an outbreak has started.
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This document provides interim recommendations for the surveillance of Zika virus infection, microcephaly and Guillain-Barré syndrome, in four different contexts and describes reporting requirements to WHO. Transmission refers to vector-borne transmission, unless specified differently. Autochthonou...s infection is considered to be an infection acquired in-country, i.e. among patients with no history of travel during the incubation period or who have travelled exclusively to non-affected areas during the incubation period. This document does not provide guidance on laboratory investigation or vector surveillance.
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