The development and deployment of a model for hospital-level COVID-19 associated patient demand intervals from consistent estimators (DICE)
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David Scheinker | Teng Zhang | Peter Glynn | Linying Yang | P. Glynn | D. Scheinker | Linying Yang | Teng Zhang
[1] Scott Levin,et al. Discrete Event Simulation for Healthcare Organizations: A Tool for Decision Making , 2013, Journal of healthcare management / American College of Healthcare Executives.
[2] R. Weron,et al. Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models , 2008 .
[3] J. Crilly,et al. Prediction and surveillance of influenza epidemics , 2011, The Medical journal of Australia.
[4] Michael Y. Li,et al. Global stability for the SEIR model in epidemiology. , 1995, Mathematical biosciences.
[5] S. Pei,et al. Initial Simulation of SARS-CoV2 Spread and Intervention Effects in the Continental US , 2020, medRxiv.
[6] COVIDSurg Collaborative. Elective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans: Elective surgery during the SARS-CoV-2 pandemic , 2020 .
[7] Pierre Lanchantin,et al. Unsupervised restoration of hidden nonstationary Markov chains using evidential priors , 2005, IEEE Transactions on Signal Processing.
[8] Ulrike Goldschmidt,et al. An Introduction To The Theory Of Point Processes , 2016 .
[10] P. Glynn,et al. A model to forecast regional demand for COVID-19 related hospital beds , 2020, medRxiv.
[11] D. Khullar,et al. COVID-19 and the Financial Health of US Hospitals. , 2020, JAMA.
[12] Ophir Frieder,et al. Coughing, sneezing, and aching online: Twitter and the volume of influenza-like illness in a pediatric hospital , 2017, PloS one.
[13] Mark Bartlett,et al. Deterministic and Stochastic Models for Recurrent Epidemics , 1956 .
[14] Naren Ramakrishnan,et al. Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 , 2019, Scientific Reports.
[15] M. Kenward,et al. An Introduction to the Bootstrap , 2007 .
[16] Y. Gel,et al. Influenza Forecasting with Google Flu Trends , 2013, PloS one.
[17] Locally Informed Simulation to Predict Hospital Capacity Needs During the COVID-19 Pandemic , 2020, Annals of Internal Medicine.
[18] Jonathan D. Cryer,et al. Time Series Analysis , 1986 .
[19] Craig O'Neill,et al. Computer Modeling of Patient Flow in a Pediatric Emergency Department Using Discrete Event Simulation , 2007, Pediatric emergency care.
[20] Chun-Liang Li,et al. Interpretable Sequence Learning for COVID-19 Forecasting , 2020, NeurIPS.
[21] Edward Livingston,et al. Coronavirus Disease 2019 (COVID-19) in Italy. , 2020, JAMA.
[22] Gary E. Weissman,et al. Locally Informed Simulation to Predict Hospital Capacity Needs During the COVID-19 Pandemic , 2020, Annals of Internal Medicine.
[23] Yu Wang,et al. Curating a COVID-19 data repository and forecasting county-level death counts in the United States , 2020, Harvard Data Science Review.
[24] W. O. Kermack,et al. Contributions to the mathematical theory of epidemics—I , 1991, Bulletin of mathematical biology.
[25] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[26] R. Rosenfeld,et al. A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States , 2019, Proceedings of the National Academy of Sciences.
[27] T. Anderson. Statistical analysis of time series , 1974 .
[28] Gary Alan Bass,et al. Elective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans , 2020, The British journal of surgery.
[29] H. Akaike. Fitting autoregressive models for prediction , 1969 .
[30] L. Allen. Some discrete-time SI, SIR, and SIS epidemic models. , 1994, Mathematical biosciences.
[31] Guoqiang Peter Zhang,et al. An investigation of model selection criteria for neural network time series forecasting , 2001, Eur. J. Oper. Res..
[32] Y. Wang,et al. Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the U.S. , 2020, medRxiv.
[33] Ahmed Tealab,et al. Time series forecasting using artificial neural networks methodologies: A systematic review , 2018, Future Computing and Informatics Journal.
[34] R. Harrison,et al. Estimation and forecasting hospital admissions due to Influenza: Planning for winter pressure. The case of the West Midlands, UK , 2005 .
[35] S. T. Buckland,et al. An Introduction to the Bootstrap. , 1994 .
[36] Emmanuel Chazard,et al. Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study , 2018, JMIR public health and surveillance.
[37] H. Akaike. Fitting autoregressive models for prediction , 1969 .
[38] L. Rabiner,et al. An introduction to hidden Markov models , 1986, IEEE ASSP Magazine.
[39] Hannah R. Meredith,et al. A scenario modeling pipeline for COVID-19 emergency planning , 2020, Scientific Reports.
[40] Alex Bateman,et al. An introduction to hidden Markov models. , 2007, Current protocols in bioinformatics.
[41] Jeffrey D. Scargle,et al. An Introduction to the Theory of Point Processes, Vol. I: Elementary Theory and Methods , 2004, Technometrics.
[42] Ozgur M. Araz,et al. Using Google Flu Trends data in forecasting influenza-like-illness related ED visits in Omaha, Nebraska. , 2014, The American journal of emergency medicine.