Structured Information Sharing in Disease Surveillance Systems

The practice of real-time disease surveillance, sometimes called syndromic surveillance, is widespread at local, state, and national levels. Diseases ignore legal boundaries, so situations frequently arise where it is important to share surveillance information between public health jurisdictions. There are currently two fundamental ways for systems to share public health data and information related to disease outbreaks: sharing data, or sharing information.

July 30, 2018

Enhancing Syndromic Surveillance through Cross-border Data Sharing

In the fall of 2006, the Ohio Department of Health (ODH) and the Indiana State Department of Health (ISDH) proactively began general discussions regarding surveillance issues of mutual interest. Both states, having operational syndromic surveillance systems, thought value could be added to one another’s program by sharing data across their common border. Ohio receives emergency department chief complaint data from 130 of its hospitals; Indiana from 76 hospitals.

July 30, 2018

Super Bowl Surveillance: A Practical Exercise in Inter-Jurisdictional Public Health Information Sharing

When the Chicago Bears met the Indianapolis Colts for Super Bowl XLI in Miami in January, 2007, fans from multiple regions visited South Florida for the game. In the past, public health departments have instituted heightened local surveillance during mass gatherings due to concerns about increased risk of disease outbreaks. For the first time, in 2007, health departments in all three Super Bowl-related regions already practiced daily disease surveillance using biosurveillance information systems (separate installations of the ESSENCE system, developed at JHUAPL).

July 30, 2018

Automatic and Secure Data Transfer of Syndromic Data between Hospitals and Public Health Using the PHINMS

The Public Health Information Network (PHIN) Messaging Service (PHINMS) is a PHIN-certified messaging system, initiated and supported by the Centers for Disease Control & Prevention. PHINMS is widely used by many hospitals in the state(s) to send their Electronic Lab Reports. The PHINMS architecture allows for multiple data streams and routing configurations. However, many states are still using the legacy File Transport Protocol for their syndromic data transfer. There are many benefits in utilizing PHINMS that will be outlined in this presentation.

July 30, 2018

Louisiana Takes Action Against Drug Abuse by Sharing Syndromic Data

Louisiana, like other states, grapples with widespread drug abuse. CDC’s DrugOverdose Death Data show Louisiana had a statistically significant 14.7% increase in its drug overdose death rate from 2015–2016. As early as 2013, the Louisiana Office of Public Health, Infectious Disease Epidemiology section (IDEpi), began receiving requests for drug abuse data from the governor’s office and community- based organizations for a deeper understanding of overdose trends and populations at greatest risk.

March 08, 2019

Using Online Applications with R to Share Surveillance Data

Since 2009, the Cook County Department of Public Health (CCDPH) has created and disseminated weekly surveillance reports to share seasonal influenza data with the community and our healthcare partners. Surveillance data is formatted into tables and graphs using Microsoft Excel, pasted into a Word document, and shared via email listserv and our website in PDF format.

February 27, 2018


Contact Us

NSSP Community of Practice



This website is supported by Cooperative Agreement # 6NU38OT000297-02-01 Strengthening Public Health Systems and Services through National Partnerships to Improve and Protect the Nation's Health between the Centers for Disease Control and Prevention (CDC) and the Council of State and Territorial Epidemiologists. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of CDC. CDC is not responsible for Section 508 compliance (accessibility) on private websites.

Site created by Fusani Applications