Citations (8)
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Jean-Claude Malela-Majika & Marien A. Graham. (2024) Design and implementation of distribution-free Phase-II charting schemes based on unconditional run-length percentiles. Communications in Statistics - Theory and Methods 53:1, pages 276-293.
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S. Bersimis & A. Sachlas. (2022) Surveilling public health through statistical process monitoring: A literature review and a unified framework. Communications in Statistics: Case Studies, Data Analysis and Applications 8:3, pages 515-543.
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Articles from other publishers (6)
Gloria Porcu, Yu Xi Chen, Andrea Stella Bonaugurio, Simone Villa, Leonardo Riva, Vincenzina Messina, Giorgio Bagarella, Mauro Maistrello, Olivia Leoni, Danilo Cereda, Fulvio Matone, Andrea Gori & Giovanni Corrao. (2023) Web-based surveillance of respiratory infection outbreaks: retrospective analysis of Italian COVID-19 epidemic waves using Google Trends. Frontiers in Public Health 11.
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Cang Wu, Shubin Si, Wenpo Huang & Wei Jiang. (2022) Copula-based CUSUM charts for monitoring infectious disease using Markovian Poisson processes. Computers & Industrial Engineering 172, pages 108536.
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Cristine Rauber, Luiz M. A. Lima‐Filho & Fábio M. Bayer. (2022) Residual‐based CUSUM beta regression control chart for monitoring double‐bounded processes. Quality and Reliability Engineering International 38:6, pages 3252-3269.
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Giorgio Bagarella, Mauro Maistrello, Maddalena Minoja, Olivia Leoni, Francesco Bortolan, Danilo Cereda & Giovanni Corrao. (2022) Early Detection of SARS-CoV-2 Epidemic Waves: Lessons from the Syndromic Surveillance in Lombardy, Italy. International Journal of Environmental Research and Public Health 19:19, pages 12375.
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Gabrielle Bruzda, Fred Rawlins, Cameron Sumpter & Harold R. Garner. (2021) Evaluating disease outbreaks with syndromic surveillance using medical student clinical rotation patient encounter logs. Journal of Osteopathic Medicine 121:2, pages 211-220.
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Fatemeh Sogandi, Majid Aminnayeri, Adel Mohammadpour & Amirhossein Amiri. (2019) Risk-adjusted Bernoulli chart in multi-stage healthcare processes based on state-space model with a latent risk variable and dynamic probability control limits. Computers & Industrial Engineering 130, pages 699-713.
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