Multichart Schemes for Detecting Changes in Disease Incidence
Joint Authors
Engmann, Gideon Mensah
Han, Dong
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-15
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Several methods have been proposed in open literatures for detecting changes in disease outbreak or incidence.
Most of these methods are likelihood-based as well as the direct application of Shewhart, CUSUM and EWMA schemes.
We use CUSUM, EWMA and EWMA-CUSUM multi-chart schemes to detect changes in disease incidence.
Multi-chart is a combination of several single charts that detects changes in a process and have been shown to have elegant properties in the sense that they are fast in detecting changes in a process as well as being computationally less expensive.
Simulation results show that the multi-CUSUM chart is faster than EWMA and EWMA-CUSUM multi-charts in detecting shifts in the rate parameter.
A real illustration with health data is used to demonstrate the efficiency of the schemes.
American Psychological Association (APA)
Engmann, Gideon Mensah& Han, Dong. 2020. Multichart Schemes for Detecting Changes in Disease Incidence. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1139560
Modern Language Association (MLA)
Engmann, Gideon Mensah& Han, Dong. Multichart Schemes for Detecting Changes in Disease Incidence. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1139560
American Medical Association (AMA)
Engmann, Gideon Mensah& Han, Dong. Multichart Schemes for Detecting Changes in Disease Incidence. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1139560
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139560