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Framework for Evaluating Public Health Surveillance Systems for Early Detection of Outbreaks: Recommendations from the CDC Working Group: (548632006-001)
Abstract
The threat of terrorism and high-profile disease outbreaks has drawn attention to public health surveillance systems for early detection of outbreaks. State and local health departments are enhancing existing surveillance systems and developing new systems to better detect outbreaks through public health surveillance. However, information is limited about the usefulness of surveillance systems for outbreak detection or the best ways to support this function. This report supplements previous guidelines for evaluating public health surveillance systems. Use of this framework is intended to improve decision-making regarding the implementation of surveillance for outbreak detection. Use of a standardized evaluation methodology, including description of system design and operation, also will enhance the exchange of information regarding methods to improve early detection of outbreaks. The framework directs particular attention to the measurement of timeliness and validity for outbreak detection. The evaluation framework is designed to support assessment and description of all surveillance approaches to early detection, whether through traditional disease reporting, specialized analytic routines for aberration detection, or surveillance using early indicators of disease outbreaks, such as syndromic surveillance.
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Public health surveillance systems were first presented as a fast way to event detection.
“PHSS was first presented as a fast way to event detection such as discussed by Buehler et al.36”
From Purpose-oriented review of public health surveillance systems: use of surveillance systems and recent advances (2024) · cites this paper as Buehler et al.36
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Cited by 473
Metadata
- Authors
- Buehler, J. W., Hopkins, R. S., Overhage, J. M., Sosin, D. M., & Tong, V. T.
- Affiliations
- Emory University (US)
- Venue
- PsycEXTRA Dataset
- Published
- 2004
- Volume
- 53
- Issue
- RR-5
- Pages
- 1-11
- OpenAlex
- W2411555998
- Cited by
- 473
- References
- 0
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 12 · 2023: 14 · 2022: 10 · 2021: 21 · 2020: 14 · 2019: 8 · 2018: 12 · 2017: 21 · 2016: 15 · 2015: 23 · 2014: 21 · 2013: 94 · 2012: 21
- Type
- dataset
- Language
- en
- Open access
- closed
- Locations
- PsycEXTRA Dataset (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Public Health Policies and Education
- Keywords
- disease surveillance, outbreak detection, surveillance system evaluation, evaluation framework, timeliness, validity, disease reporting, aberration detection, syndromic surveillance, early indicators, state and local health departments, terrorist threats
- MeSH terms
- Disease Outbreaks, Humans, Outcome and Process Assessment, Health Care, Population Surveillance, United States, Reproducibility of Results
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