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Cited by 1,129

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Updated Guidelines for Evaluating Public Health Surveillance Systems: Recommendations from the Guidelines Working Group: (548222006-001)

·2001·PsycEXTRA Dataset

Abstract

The purpose of evaluating public health surveillance systems is to ensure that problems of public health importance are being monitored efficiently and effectively. CDC's Guidelines for Evaluating Surveillance Systems are being updated to address the need for a) the integration of surveillance and health information systems, b) the establishment of data standards, c) the electronic exchange of health data, and d) changes in the objectives of public health surveillance to facilitate the response of public health to emerging health threats (e.g., new diseases). This report provides updated guidelines for evaluating surveillance systems based on CDC's Framework for Program Evaluation in Public Health, research and discussion of concerns related to public health surveillance systems, and comments received from the public health community. The guidelines in this report describe many tasks and related activities that can be applied to public health surveillance systems.

Overview

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Registry

Crossref · 10.1037/e548222006-001

Cites

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Statistics

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Citations

Cites

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Cited by

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Metadata

Venue
PsycEXTRA Dataset
Published
2001
Volume
50
Issue
RR-13
Pages
1-35; quiz CE1
OpenAlex
W120152436
Cited by
1,129
References
1
Type
dataset
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Updated Guidelines for Evaluating Public Health Surveillance Systems: Recommendations from the Guidelines Working Group: (548222006-001). https://app.cochat.ai/papers/10.1037/e548222006-001
The paper
Updated Guidelines for Evaluating Public Health Surveillance Systems: Recommendations from the Guidelines Working Group: (548222006-001). (2001). PsycEXTRA Dataset. https://doi.org/10.1037/e548222006-001

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.