@article{ART002290864},
author={Hye Inn Song and Heo, Tae Young and Yong-Un Ban},
title={A Study on Monitoring System for Infectious Diseases Using Temporal Model with Application to Seoul Metropolitan Area},
journal={Crisisonomy},
issn={2466-1198},
year={2017},
volume={13},
number={11},
pages={157-166},
doi={10.14251/crisisonomy.2017.13.11.157}
TY - JOUR
AU - Hye Inn Song
AU - Heo, Tae Young
AU - Yong-Un Ban
TI - A Study on Monitoring System for Infectious Diseases Using Temporal Model with Application to Seoul Metropolitan Area
JO - Crisisonomy
PY - 2017
VL - 13
IS - 11
PB - Crisis and Emergency Management: Theory and Praxis
SP - 157
EP - 166
SN - 2466-1198
AB - In this study, we proposed a systematic algorithm to monitor and detect outbreak of infectious disease and applied it to mumps data. The Farrington algorithm used in this study is a model that reflects temporal trend, seasonality, and over-dispersion of the data. It provides a reference value to judge outbreak by comparing it with observation. If observation at some time point is bigger than reference value, that time point is then assigned to be outbreak time. The application of the Farrington algorithm to the mumps data of Seoul’s autonomous regions showed correct detection at increase points, and there are many outbreaks especially in the majority of autonomous districts from 2013 to the first half of 2014. The algorithm proposed in this study could provide more systematic and accurate information on disease surveillance and help the government to cope with outbreaks quickly and appropriately when applied to the monitoring system of various diseases.
KW - outbreak;monitoring infection;Farrington algorithm;mumps
DO - 10.14251/crisisonomy.2017.13.11.157
ER -
Hye Inn Song, Heo, Tae Young and Yong-Un Ban. (2017). A Study on Monitoring System for Infectious Diseases Using Temporal Model with Application to Seoul Metropolitan Area. Crisisonomy, 13(11), 157-166.
Hye Inn Song, Heo, Tae Young and Yong-Un Ban. 2017, "A Study on Monitoring System for Infectious Diseases Using Temporal Model with Application to Seoul Metropolitan Area", Crisisonomy, vol.13, no.11 pp.157-166. Available from: doi:10.14251/crisisonomy.2017.13.11.157
Hye Inn Song, Heo, Tae Young, Yong-Un Ban "A Study on Monitoring System for Infectious Diseases Using Temporal Model with Application to Seoul Metropolitan Area" Crisisonomy 13.11 pp.157-166 (2017) : 157.
Hye Inn Song, Heo, Tae Young, Yong-Un Ban. A Study on Monitoring System for Infectious Diseases Using Temporal Model with Application to Seoul Metropolitan Area. 2017; 13(11), 157-166. Available from: doi:10.14251/crisisonomy.2017.13.11.157
Hye Inn Song, Heo, Tae Young and Yong-Un Ban. "A Study on Monitoring System for Infectious Diseases Using Temporal Model with Application to Seoul Metropolitan Area" Crisisonomy 13, no.11 (2017) : 157-166.doi: 10.14251/crisisonomy.2017.13.11.157
Hye Inn Song; Heo, Tae Young; Yong-Un Ban. A Study on Monitoring System for Infectious Diseases Using Temporal Model with Application to Seoul Metropolitan Area. Crisisonomy, 13(11), 157-166. doi: 10.14251/crisisonomy.2017.13.11.157
Hye Inn Song; Heo, Tae Young; Yong-Un Ban. A Study on Monitoring System for Infectious Diseases Using Temporal Model with Application to Seoul Metropolitan Area. Crisisonomy. 2017; 13(11) 157-166. doi: 10.14251/crisisonomy.2017.13.11.157
Hye Inn Song, Heo, Tae Young, Yong-Un Ban. A Study on Monitoring System for Infectious Diseases Using Temporal Model with Application to Seoul Metropolitan Area. 2017; 13(11), 157-166. Available from: doi:10.14251/crisisonomy.2017.13.11.157
Hye Inn Song, Heo, Tae Young and Yong-Un Ban. "A Study on Monitoring System for Infectious Diseases Using Temporal Model with Application to Seoul Metropolitan Area" Crisisonomy 13, no.11 (2017) : 157-166.doi: 10.14251/crisisonomy.2017.13.11.157