What is surveillance system evaluation?
What is surveillance system evaluation?
Surveillance system evaluation allows us to define whether a specific system is useful for a particular public health initiative and is achieving the overarching goals of the public health program and the data collection objectives.
What is data quality in surveillance?
Three basic characteristics of high-quality data in public health surveillance are completeness, accuracy, and timeliness – summarized as the acronym CAT (see Fig. 7.3). Data are complete when all cases are included (no cases are missed), and all data variables for cases are entered.
How do you evaluate surveillance system in public health?
The evaluation of public health surveillance systems should involve an assessment of system attributes, including simplicity, flexibility, data quality, acceptability, sensitivity, predictive value positive, representativeness, timeliness, and stability.
What is surveillance system?
A digital video surveillance system is a surveillance system capable of capturing images and videos that can be compressed, stored or sent over communication networks. Digital video surveillance systems can be used for nearly any environment.
What are the 10 characteristics of data quality?
There are five traits that you’ll find within data quality: accuracy, completeness, reliability, relevance, and timeliness – read on to learn more….5 Characteristics of Data Quality.
| Characteristic | How it’s measured |
|---|---|
| Completeness | How comprehensive is the information? |
| Reliability | Does the information contradict other trusted resources? |
What are the four elements of surveillance?
Each of these sectors contributes to the four basic components of surveillance, which are (1) collection, (2) analysis, (3) dissemination, and (4) response.
What are surveillance methods?
This can include observation from a distance by means of electronic equipment, such as closed-circuit television (CCTV), or interception of electronically transmitted information like Internet traffic. It can also include simple technical methods, such as human intelligence gathering and postal interception.
What makes a good surveillance system?
Guidelines published by the CDC have suggested several criteria for evaluating public health surveillance systems, including simplicity, data quality, acceptability, sensitivity, positive predictive value, representativeness, timeliness, stability, usefulness, flexibility, and cost.
What are the 5 types of surveillance?
Surveillance Types
- Postal services.
- Computer surveillance.
- Surveillance cameras.
- Telephones.
- Social network analysis.
- Aerial surveillance.
- Biometric surveillance.
- Data mining & profiling.
How do we measure the quality of surveillance data?
Quality of data is influenced by the clarity of surveillance forms, the quality of training and supervision of persons who complete surveillance forms, and the care exercised in data management. A review of these facets of a surveillance system provides an indirect measure of quality of data.
What is the MEASURE Evaluation data quality assurance suite?
The MEASURE Evaluation data quality assurance suite of tools and methods include both data quality auditing (DQA) tools designed for use by external audit teams and routine data quality assessment (RDQA) tools designed for capacity building and self-assessment.
What is the purpose of evaluation of epidemiologic surveillance systems?
This document describes the evaluation of epidemiologic surveillance systems. Its purpose is to promote the best use of public health resources through the development of effective and efficient surveillance systems.
What are the guidelines for evaluating surveillance systems?
Guidelines for Evaluating Surveillance Systems. Subsequent sections focus on the attributes of a surveillance system (simplicity, flexibility, acceptability, sensitivity, predictive value positive, representativeness, and timeliness) and demonstrate how these combine to affect the usefulness and cost of a system.
