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The surveillance task when faced with small area health data is more complex than in the time domain alone. Both changes in time and space must be considered. Such questions as ‘where will the infection spread to next?’ and, ‘when will the infection arrive here’, or ‘when do we see the end of... Read more

Content type: Webinar

Since the emergence of avian influenza A(H7N9) virus in 2013, extensive surveillances have been established to monitor the human infection and environmental contamination with avian influenza virus in southern China. At the end of 2015, human infection with influenza A(H5N6) virus was identified... Read more

Content type: Abstract

Traditionally, public health surveillance departments collect, analyze, interpret, and package information into static surveillance reports for distribution to stakeholders. This resource-intensive production and dissemination process has major shortcomings that impede end users from optimally... Read more

Content type: Abstract

The ICD-9 codes for acute respiratory illness (ARI) and pneumonia/influenza (P&I) are commonly used in ARI surveillance; however, few studies evaluate the accuracy of these codes or the importance of ICD-9 position. We reviewed ICD-9 codes reported among patients identified through severe... Read more

Content type: Abstract

Public Health England (PHE) uses syndromic surveillance systems to monitor for seasonal increases in respiratory illness. Respiratory illnesses create a considerable burden on health care services and therefore identifying the timing and intensity of peaks of activity is important for public... Read more

Content type: Abstract

Human MERS-CoV was first reported in September 2012. Globally, all reported cases have been linked through travel to or residence in the Arabian Peninsula with the exception of cases associated with an outbreak involving multiple health care facilities in the Republic of Korea ending in July... Read more

Content type: Abstract

ARIs have epidemic and pandemic potential. Prediction of presence of ARIs from individual signs and symptoms in existing studies have been based on clinically-sourced data. Clinical data generally represents the most severe cases, and those from locations with access to healthcare institutions.... Read more

Content type: Abstract

Assigning causes of deaths to seasonal infectious diseases is difficult in part due to laboratory testing prior to death being uncommon. Since influenza (and other common respiratory pathogens) are therefore notoriously underreported as a (contributing) cause of death in deathcause statistics... Read more

Content type: Abstract

During this webinar, Michael Coletta and Aaron Kite-Powell (CDC’s National Syndromic Surveillance Program) presented analyses of syndromic data for the outbreak of lung injury associated with the use of e-cigarette, or vaping, products.

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Content type: Webinar

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