【摘要】 大数据已成为新时代提升政府服务能力、助推区域一体化高质量发展的重要手段。在区域公共服务一体化建设过程中存在合作互通有障碍、跨域联动成本高和资源统筹有困难等困境。研究发现,应用大数据特征优势解决跨城际困境,在学理解释上存在高度耦合性。在实践层面,新冠肺炎疫情具有影响区域广、程度深的特点,疫情的联防联控是跨城际区域医疗服务一体化的体现。大数据助力新冠肺炎疫情联防联控,为大数据驱动区域公共服务一体化建设提供了典型案例。运用大数据的收集、储存与共享、分析与挖掘、监控与预测等处理机制,可以有效解决上述问题,进一步驱动区域公共服务一体化建设。更多还原

【Abstract】 Big data has become an important means to enhance the government’s service capacity andpromote the high-quality development of regional integration in the new era. In the process of regionalpublic service integration construction, there are some dilemmas, such as obstacles in cooperation andintercommunication, high cost of cross-border linkage and difficulties in resource coordination. It isfound that making use of the advantages of big data to solve the inter-city dilemma is quite appropriatein theoretical interpretation. In practice, the COVID-19 epidemic has the characteristics of wide anddeep influence, and the joint prevention and control of the epidemic situation reflects the integration ofmedical services across cities. Big data helps joint prevention and control of COVID-19 epidemic,which provides a typical case for the integration of regional public services driven by big data. Usingthe processing mechanisms of big data collection, storage and sharing, analysis and mining, monitoringand forecasting can effectively solve the above problems and further drive the integration of regionalpublic services.更多还原