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Predictive Models for Decision Support in the COVID-19 Crisis

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Cover of 'Predictive Models for Decision Support in the COVID-19 Crisis'

Table of Contents

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    Book Overview
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    Chapter 1 Prediction for Decision Support During the COVID-19 Pandemic
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    Chapter 2 Epidemiology Compartmental Models—SIR, SEIR, and SEIR with Intervention
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    Chapter 3 Forecasting COVID-19 Time Series Based on an Autoregressive Model
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    Chapter 4 Nonlinear Prediction for the COVID-19 Data Based on Quadratic Kalman Filtering
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    Chapter 5 Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML
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    Chapter 6 Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil
Attention for Chapter 3: Forecasting COVID-19 Time Series Based on an Autoregressive Model
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