Skip to main content

Pandemic

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:

Submitted by hmccall on
Description

Syndromic surveillance has been widely adopted as a real-time monitoring tool in early response to disease outbreaks. In order to provide real-time information on the impact of 2009 H1N1 during the Fall 2009 semester, Georgetown University (GU) and George Washington University (GWU) employed syndromic surveillance systems incorporating a variety of data sources. 

 

Objective

To describe the 2009 H1N1 outbreak at GU and GWU in Fall 2009. Identify the datasets that most accurately depict 2009 H1N1 disease in real time.

Submitted by hparton on
Description

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. The role of technology and public health to support these efforts has become more valuable. Health information systems are traditionally used for electronic medical records or payer billing systems and are not paired with technology advancements. Efforts today to link information and technology to engage consumers are championed by health plans and healthcare providers. Empowering individuals to be proactive when presented with their medical records is not a simple problem to solve. Information must be actionable but it still may not achieve the desired success. What if the health community engaged consumers with a social mission to help them fight disease outbreaks by becoming frontline activists to report occurrences and outcomes, and become intelligent connections to extend the right information to their social networks? This would encourage consumer technology to be better integrated with health information technology with continued investment in sustaining critical public health ecosystems. A large part of health information systems are immunization information systems (IIS) where administered vaccines are documented in a confidential computer based system in a specific geographic area1. The IIS can be used for disease surveillance purposes and provide valuable information to public health authorities2. Recently, MyIR was created where any IIS, pharmacy or provider can provide patients direct access to family immunization records. Providers can communicate to patients using MyIR to increase engagement and send vaccine reminders.

Objective: If public health agencies used direct communication channels to individuals by building on existing immunization networks, the public would receive correct information quicker during a pandemic. Furthermore, there is value that can be leveraged from social networks to advance public health efforts to manage disease events and encourage consumers being more proactive in managing their own health care.

Submitted by elamb on
Description

The global H1N1 influenza A pandemic in 2009 heightened the need for automated disease surveillance capabilities. After an initial surge in confirmatory testing, clinicians

moved to diagnosis based on patient assessment for fever combined with cough or sore throat, the influenza-like indicators (ILI). Although some organizations used automated data capture or national systems with manual data entry (www.cdc.gov/flu/weekly/fluactivity.htm), there was not a turnkey national automated system in place to support syndromic surveillance for ILI among non-affiliated organizations. Semantic interoperability through standards utilization is widely expected to simplify large-scale data initiatives but is challenging with widely disparate uses of terminology.

 

Objective

This paper describes a national initiative connecting 850 non-affiliated healthcare provider organizations throughout the United States in order to provide situational awareness during the 2009–2010 H1N1 influenza A pandemic. We addressed the challenge of semantic variability between organizations through a centralized data-mapping approach.

Submitted by hparton on
Description

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.

 

Objective

This paper compares estimates of ILI activity with estimates from the Centers for Disease Control’s ILINet from October 2008 through March 2010.

Submitted by hparton on
Description

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.

Objective

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.

Submitted by elamb on
Description

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.

 

Objective

To demonstrate that the different surveillance systems allow to establish complementary indicators.

Submitted by elamb on
Description

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].

Objective

To assess the effectiveness of a Public Health automated phone campaign to increase vaccination uptake in targeted neighborhoods. To identify alternative predictors of variation in vaccination uptake, specifically to assess the association between vaccination uptake, and weather conditions and day-of-week.

Submitted by elamb on
Description

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. The other possibility begins with severe cases, characterized by sCAP, respiratory failure, and ICU admission. As the syndrome of pneumonia is not reportable to health agencies for public health surveillance, a year-round, hospital-based surveillance mechanism may be an important tool for early case detection in the event of an epidemic of sCAP. To fill these gaps, we developed a statewide, hospital-based surveillance network for sCAP surveillance in Kentucky.

Objective

To present the development and implementation of the SIPS project, a statewide, hospital-based surveillance system for severe community-acquired pneumonia (sCAP) in Kentucky.

Submitted by elamb on
Description

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.

 

Objective

This paper describes the use of multiple influenza surveillance data for situational awareness of influenza activity.

Submitted by elamb on