Syndromic Surveillance Data Sources and Collection Strategies

2010 ◽  
pp. 33-48 ◽  
Author(s):  
Hsinchun Chen ◽  
Daniel Zeng ◽  
Ping Yan
Keyword(s):  
Syndromic Surveillance ◽  
Surveillance Data ◽  
Data Sources ◽  
Collection Strategies

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.

Monitoring and auditing the transfer of syndromic surveillance data to ensure data completeness

2011 ◽  
Vol 4 (0) ◽  
Author(s):  
Zachary Faigen ◽  
Anikah Salim ◽  
Kishok Rojohn ◽  
Ajit Isaac ◽  
Sherry Adams
Keyword(s):  
Syndromic Surveillance ◽  
Surveillance Data ◽  
Data Completeness

scholarly journals Towards an integrated animal health surveillance system in Tanzania: making better use of existing and potential data sources for early warning surveillance

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Janeth George ◽  
Barbara Häsler ◽  
Erick Komba ◽  
Calvin Sindato ◽  
Mark Rweyemamu ◽  
...  
Keyword(s):  
Early Warning ◽  
Surveillance System ◽  
Animal Health ◽  
Health Surveillance ◽  
Surveillance Data ◽  
Data Sources ◽  
Surveillance Systems ◽  
Cross Sectional Survey ◽  
Traceability System ◽  
Spatial Coverage

Abstract Background Effective animal health surveillance systems require reliable, high-quality, and timely data for decision making. In Tanzania, the animal health surveillance system has been relying on a few data sources, which suffer from delays in reporting, underreporting, and high cost of data collection and transmission. The integration of data from multiple sources can enhance early detection and response to animal diseases and facilitate the early control of outbreaks. This study aimed to identify and assess existing and potential data sources for the animal health surveillance system in Tanzania and how they can be better used for early warning surveillance. The study used a mixed-method design to identify and assess data sources. Data were collected through document reviews, internet search, cross-sectional survey, key informant interviews, site visits, and non-participant observation. The assessment was done using pre-defined criteria. Results A total of 13 data sources were identified and assessed. Most surveillance data came from livestock farmers, slaughter facilities, and livestock markets; while animal dip sites were the least used sources. Commercial farms and veterinary shops, electronic surveillance tools like AfyaData and Event Mobile Application (EMA-i) and information systems such as the Tanzania National Livestock Identification and Traceability System (TANLITS) and Agricultural Routine Data System (ARDS) show potential to generate relevant data for the national animal health surveillance system. The common variables found across most sources were: the name of the place (12/13), animal type/species (12/13), syndromes (10/13) and number of affected animals (8/13). The majority of the sources had good surveillance data contents and were accessible with medium to maximum spatial coverage. However, there was significant variation in terms of data frequency, accuracy and cost. There were limited integration and coordination of data flow from the identified sources with minimum to non-existing automated data entry and transmission. Conclusion The study demonstrated how the available data sources have great potential for early warning surveillance in Tanzania. Both existing and potential data sources had complementary strengths and weaknesses; a multi-source surveillance system would be best placed to harness these different strengths.

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 Utilizing Syndromic Surveillance Data for Estimating Levels of Influenza Circulation

2014 ◽  
Vol 179 (11) ◽  
pp. 1394-1401 ◽  
Author(s):  
Oscar Patterson-Lomba ◽  
Sander Van Noort ◽  
Benjamin J. Cowling ◽  
Jacco Wallinga ◽  
M. Gabriela M. Gomes ◽  
...  
Keyword(s):  
Syndromic Surveillance ◽  
Surveillance Data

scholarly journals How Should We Be Conducting Routine Analysis of Traditional Emergency Department Syndromic Surveillance Data?

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
David Atrubin ◽  
Michael Wiese
Keyword(s):  
Emergency Department ◽  
Best Practices ◽  
International Society ◽  
Disease Surveillance ◽  
Syndromic Surveillance ◽  
Surveillance Data ◽  
Outbreak Detection ◽  
Surveillance Systems ◽  
Track Record ◽  
Periodic Disease

This roundtable will focus on how traditional emergency department syndromic surveillance systems should be used to conduct daily or periodic disease surveillance.  As outbreak detection using these systems has demonstrated an equivocal track record, epidemiologists have sought out other interesting uses for these systems.  Over the numerous years of the International Society for Disease Surveillance (ISDS) Conference, many of these studies have been presented; however, there has been a dearth of discussion related to how these systems should be used. This roundtable offers a forum to discuss best practices for the routine use of emergency department syndromic surveillance data.

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.

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