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Held on June 19, 2019.

During this 90-minute session, Aaron Kite-Powell, M.S., from CDC and Wayne Loschen, M.S., from JHU-APL provided updates on the NSSP ESSENCE platform and answered the community's questions on ESSENCE functions and features.

Content type: Webinar

Zika virus disease and Zika virus congenital infection are nationally notifiable conditions that became prominent recently as a growing number of travel-associated infections have been identified in the United States. The Centers for Disease Control and Prevention (CDC) have dedicated... Read more

Content type: Abstract

The public health problem identified by Alabama Department of Public Health Syndromic Surveillance (AlaSyS) was that the data reflected in the user application of ESSENCE (Electronic Surveillance System for the Early Notification of Community-based Epidemics) was underestimating occurrences of... Read more

Content type: Abstract

The Ministry of Health of Georgia accepted the Electronic Integrated Disease Surveillance System (EIDSS) as an official disease reporting system in 2012. The Georgian government adopted electronic reporting for both veterinary and human diseases in 2015. We conducted a comparative assessment of... Read more

Content type: Abstract

This webinar will present a set of tools developed for visualizing data quality problems in aggregate surveillance data, in particular for data which accrues over a period of time. This work is based on a data quality analysis of aggregate data used for ILI surveillance within the Distribute... Read more

Content type: Webinar

To immediately monitor disease outbreaks, the application of laboratory-based surveillance is more popular in recent years. Taiwan Centers for Disease Control (TCDC) has developed LARS to collect the laboratory-confirmed cases caused by any of 20 pathogens daily via automated submitting of... Read more

Content type: Abstract

The DQ Dashboard is an interactive tool developed to help you identify potential data processing issues and to ensure useful syndromic data by measuring the timeliness, completeness, and validity of data being processed on the BioSense Platform.

Content type: Webinar

Malaria is a parasitic disease caused by Plasmodium falciparum. About 3.2 billion people worldwide are at risk of malaria. Children and pregnant women are particularly vulnerable to the disease. Sub- Saharan Africa carries a high share of the global malaria burden. Effective malaria surveillance... Read more

Content type: Abstract

As part of this surveillance study for Avian Influenza both active and passive surveillance samples were tested using PCR and also utilized to validate the LAMP method. Active surveillance samples include pathological material and tracheal and cloacal swabs from ill poultry, which were... Read more

Content type: Abstract

The Council of State and Territorial Epidemiology (CSTE), in collaboration with Thought Bridge, LLC, recently developed the Improving the Quality of Completeness and Electronic Health Record Data Used in Syndromic Surveillance Final Report which aimed to identify data quality issues and develop ... Read more

Content type: Report

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