Data Brief: Individuals’ use of online medical records and technology for health needs

Using the National Cancer Institute’s 2017 Health Information Trends Survey, the Office of the national Coordinator for Health Information Technology (ONC) reports on access and use of online medical records and the use of technology such as smartphones, tablets, and electronic monitoring devices (e.g. Fitbits, blood pressure monitors) for health related needs.

April 30, 2018

Responder Safety, Tracking, and Resilience — Georgia, 2016 –2017

During an emergency, the state of Georgia depends on public health staff and volunteers to respond. It is imperative that staff are safe before, during and after deployment. Emergency response workers must be protected from the hazardous conditions that disasters and other emergencies create1. In October 2016 and September 2017, Hurricanes Matthew and Irma caused widespread evacuation of Georgia residents, initiating a tremendous sheltering effort. Hundreds of public health responders were deployed to assist with sheltering and other aspects of the response.

January 21, 2018

When it Rains it Pours: Real-time Situational Awareness for Two Weather Emergencies in Connecticut

On August 28, 2011 Tropical Storm Irene made landfall in Connecticut. On October 29, 2011 Connecticut was impacted by Winter Storm Alfred. Both of these storms included high winds and heavy precipitation which resulted in prolonged power outages, disruption of public drinking water systems, property damage, and widespread debris throughout the state. The Hospital Emergency Department Syndromic Surveillance (HEDSS) System was utilized to provide real-time situational awareness during the response and recovery phases of both storm events.



July 18, 2018

Emergency Department Syndromic Surveillance and Population-Based Health Monitoring in Los Angeles County

The Bioterrorism Surveillance Unit of the Los Angeles County (LAC) Department of Public Health, Acute Communicable Disease Control (ACDC) program analyzes Emergency Department (ED) data daily. Currently capturing over 40% of the ED visits in LAC, the system categorizes visits into syndrome groups and analyzes the data for aberrations in count and spatial distribution. Typical usage of the system may be extended for various enhanced surveillance activities by creating additional syndrome categories tailored to specific illnesses or conditions.

July 30, 2018

Hybrid Probabilistic Modeling and Automated Data Fusion for Biosurveillance Applications

The increased threat of bioterrorism and naturally occurring diseases, such as pandemic influenza, continually forces public health authorities to review methods for evaluating data and reports. The objective of bio-surveillance is to automatically process large amounts of information in order to rapidly provide the user with a situational awareness. Most systems currently deployed in health departments use only statistical algorithms to filter data for decision-making.

July 30, 2018

Primary Care Surveillance in the UK - Actions, Outcomes, Benefits

Routine primary care data provide the means to systematically monitor a variety of syndromes which could give early warning of health protection issues (microbiological and chemical). It is possible to track milder illnesses which may not present to hospitals (e.g. chicken pox, conjunctivitis) or illnesses for which laboratory specimens are not routinely taken (e.g. influenza). Real-time data are also needed to respond to major health protection incidents.



March 26, 2019

Alabama Department of Public Health–Syndromic Surveillance Monitoring and Improving Data Quality

Data latency limited the Alabama Department of Public Health’s (ADPH) ability torecognize and respond quickly to public health threats. Despite ADPH’s request that 95% of syndromic surveillance (SyS) data be submitted to ESSENCE* within 24 hours of a visit, some facilities were slow to process and submit data, diminishingthe data’s usefulness for surveillance that, in turn, negated ESSENCE’s ability tofunction as a daily alert. Data could be one to several days late, depending on whether a facility was processing or sending data or was offline.

March 08, 2019

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