The strategy recommends that AU Member States should enhance, where feasible, existing COVID-19 surveillance to include:
Community-based surveillance to detect symptomatic cases early for treatment and to avert viral transmission;
Sentinel surveillance in high-risk populations to detect ...and track both presymptomatic and asymptomatic cases; and
Wastewater surveillance to monitor early environmental signs of virus transmission and identify communities where targeted interventions can be implemented to decrease transmission.
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Journal of the ASEAN Federation of Endocrine Societies ; Vol.27 No.1 May 2012 ; Page 34-39
PLoS Negl Trop Dis 16(11): e0010908. https://doi.org/10.1371/journal.pntd.0010908
Manual for Training in Cancer Control
Euro Surveillance 2014;19(47):pii=20970, p.31-37
This rapid advice guide examines the evidence and makes recommendations for the use of chest imaging in acute care of adult patients with suspected, probable or confirmed COVID-19. Imaging modalities considered are radiography, computed tomography and ultrasound. This guide addresses the care pathwa...y from presentation of the patient to a health facility to patient discharge. It considers different levels of disease severity, from asymptomatic individuals to critically ill patients. Accounting for variations in the benefits and harms of chest imaging in different situations, remarks are provided to describe the circumstances under which each recommendation would benefit patients. The guide also includes implementation considerations for different settings, provides suggestions for impact monitoring and evaluation and identifies knowledge gaps meriting further research.
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Timely detection of novel coronavirus (2019-nCoV) infection cases is crucial to interrupt the spread of this virus. We assessed the required expertise and capacity for molecular detection of 2019-nCoV in specialised laboratories in 30 European Union/European Economic Area (EU/EEA) countries. Thirty-...eight laboratories in 24 EU/EEA countries had diagnostic tests available by 29 January 2020. A coverage of all EU/EEA countries was expected by mid-February. Availability of primers/probes, positive controls and personnel were main implementation barriers.
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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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