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IIE Transactions Volume 46, 2014 - Issue 8: Public Health and Healthcare Surveillance and Response
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Original Article

Spatiotemporal biosurveillance with spatial clusters: control limit approximation and impact of spatial correlation

Mi Lim LeeH. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA30332, USA E-mail: [email protected]View further author information
,
David GoldsmanH. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA30332, USA E-mail: [email protected]View further author information
,
Seong-Hee KimH. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA30332, USA E-mail: [email protected]View further author information
&
Kwok-Leung TsuiDepartment of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong KongView further author information
Pages 813-827 | Received 01 Feb 2012, Accepted 01 Jan 2013, Published online: 01 May 2014

Citations (8)

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Read on this site (3)

Di Liu, Heeseon Kim, Seong-Hee Kim, Taeheung Kim, Dongki Lee & Yao Xie. (2023) Distribution-free multivariate time-series monitoring with analytically determined control limits. International Journal of Production Research 61:20, pages 6960-6977.
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Junzhuo Chen, Seong-Hee Kim & Yao Xie. (2020) : A score statistic for spatiotemporal change point detection. Sequential Analysis 39:4, pages 563-592.
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Mi Lim Lee, David Goldsman & Seong-Hee Kim. (2015) Robust distribution-free multivariate CUSUM charts for spatiotemporal biosurveillance in the presence of spatial correlation. IIE Transactions on Healthcare Systems Engineering 5:2, pages 74-88.
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Articles from other publishers (5)

O. Arda Vanli & Nour Alawad. (2023) Spatiotemporal health surveillance accounting for risk factors and spatial correlation. Quality and Reliability Engineering International.
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Shixiang Zhu, He Wang & Yao Xie. (2022) Data-Driven Optimization for Atlanta Police-Zone Design. INFORMS Journal on Applied Analytics 52:5, pages 412-432.
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Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang & Yao Xie. (2021) High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S.. ACM Transactions on Management Information Systems 12:4, pages 1-20.
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Junzhuo Chen, Chuljin Park, Seong-Hee Kim & Yao Xie. (2019) To reduce or not to reduce: a study on spatio-temporal surveillance. Environmental and Ecological Statistics 26:3, pages 217-238.
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Mi Lim Lee. (2015) Comparison of Multivariate CUSUM Charts Based on Identification Accuracy for Spatio-temporal Surveillance. Journal of the Korean society for quality management 43:4, pages 521-532.
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