Epidemiological and space-time analysis of Beijing Intestinal Infectious Diseases

Intestinal infectious diseases (IID) is a common cause of illness in the community and results in a high burden of consultations to general practice, mostly affecting the health of infants, preschool children, young adults and elderly people, especially those living in low income countries. According to the published study on the global burden of disease, intestinal infectious diseases were responsible for 221,300 deaths worldwide in 2013.

June 18, 2019

Enhancing Provider Reporting of Notifiable Diseases using HIE-enabled Decision Support

Traditionally, public health agencies (PHAs) wait for hospital, laboratory or clinic staff to initiate case reports. However, this passive approach is burdensome for reporters and produces incomplete and delayed reports, which can hinder assessment of disease in the community and potentially delay recognition of patterns and outbreaks. Modern surveillance practice is shifting toward greater use of electronically transmitted disease information.

June 18, 2019

Power, Potential, and Pitfalls of Surveillance using Clinical Ancillary Services Data

Military service members and their families work and live around the world where both endemic and emerging infectious diseases are common. Timely infectious disease surveillance helps to inform medical and policy decisions which ensure mission readiness and beneficiary health.

June 18, 2019

Communicating the detection capabilities of syndromic surveillance systems

Increasingly public health decision-makers are using syndromic surveillance for real-time reassurance and situational awareness in addition to early warning1. Decision-makers using intelligence, including syndromic data, need to understand what the systems are capable of detecting, what they cannot detect and specifically how much reassurance should be inferred when syndromic systems report nothing detected. In this study we quantify the detection capabilities of syndromic surveillance systems used by Public Health England (PHE).

June 18, 2019

PocketAID: The Pocket Atlas of Infectious Diseases Mobile Application

There are a wide variety of available web-based apps, such as CDC'™s Epidemic Information Exchange, that provide infectious disease information and disease distribution [1]. Publicly available, online data can be used to inform a user of general risks based on disease distribution maps and case count data. Unfortunately, each app contains different aspects of the data, which is often represented in different ways and incompatible formats.

June 18, 2019

Measuring trends in hepatitis C testing with commercial laboratory data

Hepatitis C virus (HCV) infection is a leading cause of liver disease-related morbidity and mortality in the United States. Approximately 75% of people infected with chronic HCV were born between 1945 and 1965. Since 2012, the CDC has recommended one-time screening for chronic HCV infection for all persons in this birth cohort (baby boomers). The United States Preventive Services Task Force (USPSTF) subsequently made the same recommendation in June 2013.

June 18, 2019

Using Syndromic Surveillance Data to Aid Public Health Actions in Tennessee

Syndromic surveillance data is typically used for the monitoring of symptom combinations in patient chief complaints (i.e. syndromes) or health indicators within a population to inform public health actions. The Tennessee Department of Health collects emergency department (ED) data from more than 80 hospitals across Tennessee to support statewide situational awareness. Most hospitals in Tennessee provide data within 48 hours of the patient being seen in the emergency department.

June 18, 2019

Systematic Review: National Notifiable Infectious Disease Surveillance System in China

Infectious disease was the second most common cause of death in 1949, and the epidemic situation of infectious diseases was so severe that the Chinese government made major investments to the control and prevention of infectious diseases. During the past 60 years the development of the notifiable disease surveillance system in China has experienced 3 phases, including germination stage, development stage, improvement and consolidation stage (1).

June 18, 2019

Detection of a Salmonellosis Outbreak using Syndromic Surveillance in Georgia

Evidence about the value of syndromic surveillance data for outbreak detection is limited. In July 2018, a salmonellosis outbreak occurred following a family reunion of 300 persons held in Camden County, Georgia, where one meal was served on 7/27/2018 and on 7/28/2018.

Objective: Describe how the Georgia Department of Public Health (DPH) used data from its State Electronic Notifiable Disease Surveillance System (SendSS) Syndromic Surveillance (SS) module for early detection of an outbreak of salmonellosis in Camden County, Georgia.

June 18, 2019

Dashboards as strategy to integrate multiple data streams for real time surveillance

The mission of the Infectious-Disease-Epidemiology Department at the Robert Koch Institute is the prevention, detection and control of infections in the German population. For this purpose it has a set of surveillance and outbreak-detection systems in place. Some of these cover a wide range of diseases, e.g. the traditional surveillance of about 80 notifiable diseases, while others are specialised for the timely assessment of only one or a few diseases, e.g. participatory syndromic surveillance of acute respiratory infections.

June 18, 2019

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National Syndromic
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Email:nssp@cdc.gov

The National Syndromic Surveillance Program (NSSP) is a collaboration among states and public health jurisdictions that contribute data to the BioSense Platform, public health practitioners who use local syndromic surveillance systems, Center for Disease Control and Prevention programs, other federal agencies, partner organizations, hospitals, healthcare professionals, and academic institutions.

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