SARS-CoV-2 and its variants, the viruses that cause the COVID-19 pandemic, have some new characteristics, such as the high transmissibility, the long incubation period, the sweeping susceptible population, and the high environmental endurance, so a key question of the pandemic management and control is monitoring the asymptomatic transmission in daily life and socioeconomic activities, especially, the wide-range of cross-region spread. These features pose a great challenge to the traditional pandemic management and control methods and the global public health surveillance and control system. An effective way to tackle this challenge is making full use of the digital technology in the pandemic management and control, and building an accurate regular epidemiological surveillance and smart pandemic management and control system. By analyzing the essential factors of a smart pandemic management and control system, the critical role of the federated learning in the practice of the cross-region and cross-department smart pandemic management and control is shown. According to the classifications of the cross-region pandemic-related data and the pandemic management and control requirements, the technology and the application of the cross-region smart pandemic management and control based on the federated learning are explored. This method is successfully applied in the COVID-19 pandemic management and control in Shanghai and Yangtze River Delta, providing a new pathway for the integrated decision-making and targeted pandemic management and control in China. This method is also instrumental for other countries in the pandemic management and control.
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