scholarly journals Localized Surveillance: A Fresh Perspective for Regional Syndromic Surveillance

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Mansi Agarwal ◽  
Nimi Idaikkadar ◽  
José Lojo ◽  
Kristen Soto ◽  
Robert Mathes
Keyword(s):  
Public Health ◽  
Data Sharing ◽  
Syndromic Surveillance ◽  
Local Scale ◽  
Surveillance Data ◽  
Fresh Perspective

This roundtable will discuss successful syndromic surveillance data sharing efforts that have been used on a local scale for faster, more efficient, and long-term collaboration between neighboring public health jurisdictions.

scholarly journals Lessons Learned from a DoD and Virginia Data Sharing Pilot using NSSP ESSENCE

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Erin E. Austin ◽  
Paul E. Lewis ◽  
Arden Norfleet ◽  
Jamaal Russell
Keyword(s):  
Public Health ◽  
Data Sharing ◽  
Syndromic Surveillance ◽  
Data Access ◽  
Pilot Project ◽  
Lessons Learned ◽  
Surveillance Data ◽  
Service Members ◽  
Local Health ◽  
Health Departments

ObjectiveThis panel will focus on the experiences from the Department of Defense (DoD) and Virginia Department of Health (VDH) data sharing project using the National Syndromic Surveillance Program (NSSP) ESSENCE and will discuss lessons learned, challenges, and recommendations within the following areas: 1) data sharing authority, 2) coordination and implementation of data sharing with a focus on personnel, training, and managing access and 3) communication between local, state, and federal agencies.IntroductionThe DoD and VDH both maintain local ESSENCE installations to monitor the health status of their military and civilian populations, respectively, and submit syndromic surveillance data to the NSSP ESSENCE to foster data sharing and collaborative initiatives among public health entities. Military Treatment Facilities (MTFs), housed on DoD installations, provide healthcare to all service members and their beneficiaries stationed in the area. Service members and their beneficiaries represent a substantial portion of the local community and interact with the civilian population throughout daily activities. Sharing syndromic surveillance data between DoD and public health jurisdictions can provide public health situational awareness among both civilian and military populations to support disease surveillance. DoD and VDH engaged in a pilot project to develop processes and procedures for data sharing, data access, and communication with the aim they can serve as best practices for other jurisdictions seeking to share syndromic surveillance data with DoD.DescriptionThe pilot project began in June 2018 with the Centers for Disease Control and Prevention (CDC) NSSP team providing technical support. NSSP ESSENCE users from the VDH state and local health departments across nine Virginia city/counties participated in the project. VDH shared syndromic surveillance data from 34 healthcare facilities (17 urgent cares, 3 emergency care centers, and 14 hospitals) with DoD, which shared syndromic surveillance data from 18 MTFs (16 clinics and 2 hospitals) in Virginia. To standardize the analysis of syndromic surveillance data and use of NSSP ESSENCE across project participants, myESSENCE tabs were created and shared by between VDH and DoD. The goal was to facilitate and enhance communication between local public health departments and their DoD counterparts through the sharing of syndromic surveillance data.How the Moderator Intends to Engage the Audience in Discussions on the TopicThe moderator will solicit feedback from the audience regarding their data sharing experiences with other entities or agencies, data sharing practices, and ideas for use cases when sharing syndromic surveillance data with DoD.

Use of syndromic surveillance data to monitor poisonings and drug overdoses in state and local public health agencies

2016 ◽  
Vol 22 (Suppl 1) ◽  
pp. i43-i49 ◽  
Author(s):  
Amy Ising ◽  
Scott Proescholdbell ◽  
Katherine J Harmon ◽  
Nidhi Sachdeva ◽  
Stephen W Marshall ◽  
...  
Keyword(s):  
Public Health ◽  
Syndromic Surveillance ◽  
Surveillance Data ◽  
Local Public Health ◽  
Public Health Agencies ◽  
Health Agencies ◽  
Drug Overdoses ◽  
State And Local

scholarly journals Regional Syndromic Surveillance Data Sharing Workshops: Process and Early Outcomes

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Charlie Ishikawa ◽  
Katrina DeVore ◽  
Scott Gordon ◽  
Mark Sum ◽  
Laura Streichert
Keyword(s):  
Data Sharing ◽  
Syndromic Surveillance ◽  
Situational Awareness ◽  
Training Model ◽  
Regional Level ◽  
Surveillance Data ◽  
Relationship Building ◽  
Multiple Levels ◽  
Surveillance Practice ◽  
Plan Action

Sharing syndromic surveillance data across jurisdictional boundaries enhances epidemiological capacities and expands situational awareness at multiple levels. This talk will detail a training model for developing data sharing practices at a HHS regional level, and early workshop results and outcomes. Workshop participants built knowledge and skills in syndromic surveillance practice through relationship building as a foundation to data sharing; sharing of actual SyS data and information, and discussion of the benefits and barriers to data solution in order to identify solutions and plan action.

scholarly journals Improving HIV Surveillance Data for Public Health Action in Washington, DC: A Novel Multiorganizational Data-Sharing Method

2016 ◽  
Vol 2 (1) ◽  
pp. e3 ◽  
Author(s):  
Joanne Michelle F Ocampo ◽  
JC Smart ◽  
Adam Allston ◽  
Reshma Bhattacharjee ◽  
Sahithi Boggavarapu ◽  
...  
Keyword(s):  
Public Health ◽  
Data Sharing ◽  
Surveillance Data ◽  
Washington Dc ◽  
Public Health Action ◽  
Hiv Surveillance ◽  
Health Action

scholarly journals Openness, Transparency and Equity in Public Health Surveillance Data Sharing

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Matthew Brack ◽  
Michael Edelstein ◽  
Asha Herten-Crabb ◽  
David R. Harper
Keyword(s):  
Public Health ◽  
Data Sharing ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Surveillance Data ◽  
Health Surveillance Data

scholarly journals Lockdowns and the COVID-19 pandemic: What is the endgame?

2020 ◽  
pp. 140349482096129 ◽  
Author(s):  
Theodore Lytras ◽  
Sotirios Tsiodras
Keyword(s):  
Public Health ◽  
Infection Rate ◽  
Natural Infection ◽  
Herd Immunity ◽  
Social Costs ◽  
Surveillance Data ◽  
Negative Effects ◽  
Social Distancing

An overall long-term strategy for managing the coronavirus disease 2019 (COVID-19) pandemic is presented. This strategy will need to be maintained until herd immunity is achieved, hopefully through vaccination rather than natural infection. We suggest that a pure test-trace-isolate strategy is likely not practicable in most countries, and a degree of social distancing, ranging up to full lockdown, is the main public-health tool to mitigate the COVID-19 pandemic. Guided by reliable surveillance data, distancing should be continuously optimised down to the lowest sustainable level that guarantees a low and stable infection rate in order to balance its wide-ranging negative effects on public health. The qualitative mixture of social-distancing measures also needs to be carefully optimised in order to minimise social costs.

scholarly journals Using ESSENCE to Detect Bomb-Making Activity: What’s Appropriate?

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Andrew Torgerson
Keyword(s):  
Public Health ◽  
Law Enforcement ◽  
Syndromic Surveillance ◽  
Chief Complaint ◽  
Surveillance Data ◽  
Chemical Mechanism ◽  
Mass Gathering ◽  
Surveillance Period ◽  
Saint Louis ◽  
Ed Visits

ObjectiveTo describe a novel application of ESSENCE by the Saint Louis County Department of Public Health (DPH) in preparation for a mass gathering and to encourage discussion about the appropriateness of sharing syndromic surveillance data with law enforcement partners.IntroductionIn preparation for mass gathering events, DPH conducts enhanced syndromic surveillance activities to detect potential cases of anthrax, tularemia, plague, and other potentially bioterrorism-related communicable diseases. While preparing for Saint Louis to host a Presidential Debate on October 9, 2016, DPH was asked by a partner organization whether we could also detect emergency department (ED) visits for injuries (e.g., burns to the hands or forearms) that could possibly indicate bomb-making activities.MethodsUsing the Electronic Surveillance System for the Notification of Community-Based Epidemics (ESSENCE), version 1.9, DPH developed a simple query to detect visits to EDs in Saint Louis City or Saint Louis County with chief complaints including the word “burn” and either “hand” or “arm.” A DPH epidemiologist reviewed the results of the query daily for two weeks before and after the debate (i.e., from September 25, 2016 to October 23, 2016). If any single ED visit was thought to be “suspicious” – if, for example, the chief complaint mentioned an explosive or chemical mechanism of injury – then DPH would contact the ED for details and relay the resulting information to the county’s Emergency Operations Center.ResultsDuring the 29 day surveillance period, ESSENCE detected 27 ED visits related to arm or hand burns. The ESSENCE query returned a median of 1 ED visit per day (IQR 0 to 2 visits). Of these, one was deemed to merit further investigation – two days before the debate, a patient presented to an ED in Saint Louis County complaining of a burned hand. The patient’s chief complaint data also mentioned “explosion of unspecified explosive materials.” Upon investigation, DPH learned that the patient had been injured by a homemade sparkler bomb. Subsequently, law enforcement determined that the sparkler bomb had been made without any malicious intent.ConclusionsDPH succeeded in using ESSENCE to detect injuries related to bomb-making. However, this application of ESSENCE differs in at least two ways from more traditional uses of syndromic surveillance. First, conventional syndromic surveillance is designed to detect trends in ED visits resulting from an outbreak already in progress or a bioterrorist attack already carried out. In this case, syndromic surveillance was used to detect a single event that could be a prelude to an attack. The potential to prevent widespread injury or illness is a strength of this approach. Second, conventional syndromic surveillance identifies potential outbreak cases or, in the case of a bioterrorist attack, potential victims. In this case, syndromic surveillance was used to identify a potential perpetrator of an attack. While public health and law enforcement agencies would ideally coordinate their investigative efforts in the wake of an attack, this practice has led to conversations within DPH about the appropriateness of routinely sharing public health surveillance data with law enforcement. 

scholarly journals Administrative and syndromic surveillance data can enhance public health surveillance

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Tara C. Anderson ◽  
Hussain Yusuf ◽  
Amanda McCarthy ◽  
Katrina Trivers ◽  
Peter Hicks ◽  
...  
Keyword(s):  
Public Health ◽  
Administrative Data ◽  
Syndromic Surveillance ◽  
Health Surveillance ◽  
Local State ◽  
Surveillance Data ◽  
Data Sources ◽  
Urgent Care ◽  
American Hospital ◽  
State Regional

ObjectiveThis roundtable will address how multiple data sources, includingadministrative and syndromic surveillance data, can enhance publichealth surveillance activities at the local, state, regional, and nationallevels. Provisional findings from three studies will be presented topromote discussion about the complementary uses, strengths andlimitations, and value of these data sources to address public healthpriorities and surveillance strategies.IntroductionHealthcare data, including emergency department (ED) andoutpatient health visit data, are potentially useful to the publichealth community for multiple purposes, including programmaticand surveillance activities. These data are collected through severalmechanisms, including administrative data sources [e.g., MarketScanclaims data1; American Hospital Association (AHA) data2] andpublic health surveillance programs [e.g., the National SyndromicSurveillance Program (NSSP)3]. Administrative data typically becomeavailable months to years after healthcare encounters; however, datacollected through NSSP provide near real time information nototherwise available to public health. To date, 46 state and 16 localhealth departments participate in NSSP, and the estimated nationalpercentage of ED visits covered by the NSSP BioSense platform is54%. NSSP’s new data visualization tool, ESSENCE, also includesadditional types of healthcare visit (e.g., urgent care) data. AlthoughNSSP is designed to support situational awareness and emergencyresponse, potential expanded use of data collected through NSSP(i.e., by additional public health programs) would promote the utility,value, and long-term sustainability of NSSP and enhance surveillanceat the local, state, regional, and national levels. On the other hand,studies using administrative data may help public health programsbetter understand how NSSP data could enhance their surveillanceactivities. Such studies could also inform the collection and utilizationof data reported to NSSP.

Emergency Medical Services and Syndromic Surveillance: A Comparison With Traditional Surveillance and Effects on Timeliness

2021 ◽  
Vol 136 (1_suppl) ◽  
pp. 72S-79S
Author(s):  
Peter J. Rock ◽  
Dana Quesinberry ◽  
Michael D. Singleton ◽  
Svetla Slavova
Keyword(s):  
Public Health ◽  
Time Series ◽  
Emergency Medical Services ◽  
Syndromic Surveillance ◽  
Surveillance Data ◽  
Medical Services ◽  
Opioid Overdose ◽  
Billing Data ◽  
Public Health Response ◽  
Emergency Medical

Objective Traditional public health surveillance of nonfatal opioid overdose relies on emergency department (ED) billing data, which can be delayed substantially. We compared the timeliness of 2 new data sources for rapid drug overdose surveillance—emergency medical services (EMS) and syndromic surveillance—with ED billing data. Methods We used data on nonfatal opioid overdoses in Kentucky captured in EMS, syndromic surveillance, and ED billing systems during 2018-2019. We evaluated the time-series relationships between EMS and ED billing data and syndromic surveillance and ED billing data by calculating cross-correlation functions, controlling for influences of autocorrelations. A case example demonstrates the usefulness of EMS and syndromic surveillance data to monitor rapid changes in opioid overdose encounters in Kentucky during the COVID-19 epidemic. Results EMS and syndromic surveillance data showed moderate-to-strong correlation with ED billing data on a lag of 0 ( r = 0.694; 95% CI, 0.579-0.782; t = 9.73; df = 101; P < .001; and r = 0.656; 95% CI, 0.530-0.754; t = 8.73; df = 101; P < .001; respectively) at the week-aggregated level. After the COVID-19 emergency declaration, EMS and syndromic surveillance time series had steep increases in April and May 2020, followed by declines from June through September 2020. The ED billing data were available for analysis 3 months after the end of a calendar quarter but closely followed the trends identified by the EMS and syndromic surveillance data. Conclusion Data from EMS and syndromic surveillance systems can be reliably used to monitor nonfatal opioid overdose trends in Kentucky in near–real time to inform timely public health response.

scholarly journals Integration of Syndromic Surveillance Data into Public Health Practice at State and Local Levels in North Carolina

2012 ◽  
Vol 127 (3) ◽  
pp. 310-317 ◽  
Author(s):  
Erika Samoff ◽  
Anna Waller ◽  
Aaron Fleischauer ◽  
Amy Ising ◽  
Meredith K. Davis ◽  
...  
Keyword(s):  
Public Health ◽  
North Carolina ◽  
Syndromic Surveillance ◽  
Public Health Practice ◽  
Surveillance Data ◽  
Health Practice ◽  
State And Local ◽  
Local Levels
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