2020 Syndromic Surveillance Symposium

The Council of State and Territorial Epidemiologists (CSTE), in collaboration with the Centers for Disease Control and Prevention’s (CDC) National Syndromic Surveillance Program (NSSP), virtually convened the 2020 Syndromic Surveillance Symposium from November 17-19, 2020. The event was held during the following dates and times:

March 30, 2021

The Power of Consumer Activism and the Value of Immunization Registries in a Pandemic

Epidemiologists and public health professionals work to ensure the risk and impact of existing and emerging diseases are minimized and do not turn into a pandemic. Timely and accurate information has become imperative as the world has become more interconnected through travel and technology. Recently, new information systems have played a key role in improving public health’s early warning and case management for disease outbreaks. Improved analytics to predict risk in populations have helped researchers open new doors to disease cures and medicines.

June 18, 2019

Near Real-time Surveillance of Disease during 2016-17 Influenza Season in the U.S.

Public health agencies worldwide all enjoy the same mission—providing healthcare warnings, guidance, and support to the public and healthcare professionals they represent. A critical element in achieving this mission is accessing timely and comprehensive surveillance information about disease in their regions of responsibility.

January 25, 2018

Using Surveillance Data to Identify Risk Factors for Severe H1N1 in First Nations

Research has shown that Canadian First Nation (FN) populations were disproportionately affected by the 2009 H1N1 influenza pan- demic. However, the mechanisms for the disproportionate outcomes are not well understood. Possibilities such as healthcare access, in- frastructure and housing issues, and pre-existing comorbidities have been suggested.

July 17, 2018

Predictors of vaccination uptake for the 2009 influenza pandemic (H1N1) in Montreal

Work on vaccination timing and promotion largely precedes the 2009 pandemic. Post-pandemic studies examining the wide range of local vaccination efforts mostly have been limited to surveys assessing the role of administrative strategies, logistical challenges, and perceived deterrents of vaccination [1].


May 02, 2019

Severe Influenza Pneumonia Surveillance: Clinical and Translational Epidemiology

The threat of epidemics due to non-human strains of influenza A viruses is ever present1. Surveillance is a critical aspect of pandemic preparedness for early case detection2. Identification of the index cases of a pandemic virus can trigger public health mitigation efforts3. To develop an appropriate surveillance process, it is important to understand the two possibilities of pandemic evolution. A new pandemic may begin with mild cases, during which surveillance should be concentrated on work/school absenteeism and in physician offices.

May 02, 2019

The Spatial and Temporal Anatomy of Seasonal Influenza, 1972-2007

Seasonality has a major effect on the spatial and temporal (i.e. spatiotemporal) dynamics of natural systems and their populations (1). Although the seasonality of influenza in temperate countries is widely recognized, inter-regional spread of influenza in the United States has not been well characterized.


To study the seasonality of influenza in the United States between 1972 and 2007 through the evaluation of the timing, velocity, and spatial spread of annual epidemic cycles.

May 02, 2019

Integrated approach of non-specific surveillance in Reunion Island

In Reunion Island, the non-specific surveillance was developed since 2006 and was based on the activity of only one hospital emergency department and on mortality. To respond to the threat of influenza A(H1N1) pandemic emergence, this surveillance system was significantly enhanced. All hospital emergency departments of the island have been included as well as the emergency medical service regulation center. In 2010, a new surveillance was implemented from National Health Insurance data.



May 02, 2019

Multi-stream Influenza Surveillance for Situational Awareness

Much progress has been made on the development of novel systems for influenza surveillance, or explored the choices of algorithms for detecting the start of a peak season. The use of multiple streams of surveillance data has been shown to improve performance but few studies have explored its use in situational awareness to quantify level or trend of disease activity. In this study we propose a multivariate statistical approach which describes overall influenza activity and handles interrupted or drop-in surveillance systems.



May 02, 2019

Comparison of the US outpatient influenza-like illness surveillance network and the Google Flu Trends from 2008 to 2010

http://Google.org developed a regression model that used the volume of influenza-related search queries best correlated with the proportion of outpatient visits related to influenza-like illness (ILI) model to estimate the level of ILI activity. For calibration, the model used ILINet data from October 2003 to 2009, which report weekly ILI activity as the percentage of patient visits to health care providers for ILI from the total number patient visits for the week. Estimates of ILI in 121 cities were added in January 2010.


June 14, 2019


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