The ongoing transformation of public health systems highlights the essential role of universities in developing and sustaining collaborative prevention and control systems. This paper explores the integration of universities within the "city-community-school" three-domain linkage model, which facilitates enhanced coordination and resource sharing between these three domains. With digital technologies at the core, the study investigates how universities can contribute to the creation of resilient, efficient public health infrastructures. Specifically, the paper examines the potential of digital platforms, such as real-time data sharing, AI-driven systems, and predictive analytics, in strengthening the capacity of universities, communities, and cities to manage public health challenges. Furthermore, it discusses strategies to address common implementation obstacles, including data privacy concerns and technological integration challenges. Drawing from case studies of successful digital integration models, the research emphasizes the need for sustainable, adaptive mechanisms that can evolve in response to emerging global health threats. Ultimately, the paper argues that the "city-community-school" linkage model, supported by digital technologies, offers a promising pathway toward the sustainable development of prevention and control systems in universities, ensuring long-term resilience and adaptability.

Digital collaboration;Prevention and control systems;University integration;Sustainable development;City-Community-School linkage

[1] Ruyi Shi, Bo Lu et al. “Driving factors of urban community epidemic prevention and control capability: QCA analysis based on typical cases of 20 anti-epidemic communities in China.” Frontiers in Public Health(2024). [2] Mingyang Ruan. “Research on the Characteristic Model and Practice of China's Urban Grassroots Social Governance Model.” (2018). [3] Gang Deng, Xinyue Hu. “Research on the linkage of “one, two, three, four classrooms” of ideological and political education in colleges and universities based on big data platform..” Applied Mathematics and Nonlinear Sciences(2024).

2022 Science and Technology Research Project of Chongqing Education Commission (Project No.: KJQN202204204 ).

DOI： https://doi.org/10.62639/sspjiss08.20250203

Published： 2025