Evidence map›Paper›PMID 28961606›Full record

ArticleJournal of public health management and practice : JPHMP

Evaluation of Syndromic Surveillance Systems in 6 US State and Local Health Departments.

Mathew J Thomas, Paula W Yoon, James M Collins, Arthur J Davidson, William R Mac Kenzie

Open access · greenAbstract read
In one paragraph

Article in Journal of public health management and practice : JPHMP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 31 citations in OpenAlex.

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  12. Evaluating multi-purpose syndromic surveillance systems - a complex problem.Online journal of public health informatics · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Mathew J ThomasCenter for Surveillance, Epidemiology, and Laboratory Services (Captain Thomas and Dr Mac Kenzie) and Division of Health Informatics and Surveillance (Dr Yoon), Centers for Disease Control and Prevention, Atlanta, Georgia; Communicable Disease Division, Michigan Department of Community Health, Lansing, Michigan (Mr Collins); and Public Health Informatics, Epidemiology, and Preparedness, Denver Public Health, Denver, Colorado (Dr Davidson).
Paula W Yoon
James M Collins
Arthur J Davidson
William R Mac Kenzie
Center for Surveillance, Epidemiology, and Laboratory Services · USCenters for Disease Control and Prevention · USMichigan Department of Health and Human Services · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveEvaluating public health surveillance systems is critical to ensuring that conditions of public health importance are appropriately monitored. Our objectives were to qualitatively evaluate 6 state and local health departments that were early adopters of syndromic surveillance in order to (1) understand the characteristics and current uses, (2) identify the most and least useful syndromes to monitor, (3) gauge the utility for early warning and outbreak detection, and (4) assess how syndromic surveillance impacted their daily decision making.

designWe adapted evaluation guidelines from the Centers for Disease Control and Prevention and gathered input from the Centers for Disease Control and Prevention subject matter experts in public health surveillance to develop a questionnaire.

participantsWe interviewed staff members from a convenience sample of 6 local and state health departments with syndromic surveillance programs that had been in operation for more than 10 years.

resultsThree of the 6 interviewees provided an example of using syndromic surveillance to identify an outbreak (ie, cluster of foodborne illness in 1 jurisdiction) or detect a surge in cases for seasonal conditions (eg, influenza in 2 jurisdictions) prior to traditional, disease-specific systems. Although all interviewees noted that syndromic surveillance has not been routinely useful or efficient for early outbreak detection or case finding in their jurisdictions, all agreed that the information can be used to improve their understanding of dynamic disease control environments and conditions (eg, situational awareness) in their communities.

conclusionIn the jurisdictions studied, syndromic surveillance may be useful for monitoring the spread and intensity of large outbreaks of disease, especially influenza; enhancing public health awareness of mass gatherings and natural disasters; and assessing new, otherwise unmonitored conditions when real-time alternatives are unavailable. Future studies should explore opportunities to strengthen syndromic surveillance by including broader access to and enhanced analysis of text-related data from electronic health records. Health departments may accelerate the development and use of syndromic surveillance systems, including the improvement of the predictive value and strengthening the early outbreak detection capability of these systems. These efforts support getting the right information to the right people at the right time, which is the overarching goal of CDC's Surveillance Strategy.

Indexed as

Sentinel SurveillanceBostonCenters for Disease Control and Prevention, U.S.Disease OutbreaksHumansLocal GovernmentMichiganNew York CityPopulation SurveillancePublic HealthQualitative ResearchState GovernmentUnited StatesWashington

Identifiers

PMID28961606
PMCPMC6198818
OpenAlexW2759597790

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.