COVID-19 Dispersion Modeling of Data with Minimax Measurement

<title>Abstract</title> <p>Recently, we developed a modeling framework for COVID-19 based on occurrence position data using minimax measurements. This approach relates to big data modeling where empirical data is continuously accumulating. Through this data-driven modeling, we track the trend and strength of disease movement. We investigate the verification and validation of these models. Finally, we obtain robust COVID-19 dispersion models from empirical data to improve forecasting capabilities.</p>