Under the background of the integrated development of the Guangdong-Hong Kong-Macao Greater Bay Area,the demand for medical services from Hong Kong and Macao residents in Guangdong continues to grow.As the main force in pro-viding medical services in Guangdong,public hospitals play a crucial role.This article aims to explore the current situation of the development of medical services for Hong Kong and Macao residents in Guangdong and propose development strategies from the perspective of hospitals to contribute to the integrated development of the Greater Bay Area.The SWOT method is used to system-atically evaluate the strengths,weaknesses,opportunities,and threats of Guangdong public hospitals in the development of medi-cal services for Hong Kong and Macao residents.A SWOT matrix is then constructed to formulate development countermeasures.The analysis shows that Guangdong public hospitals have advantages such as convenient transportation,cultural affinity,abundant medical resources,high service efficiency,and relatively low costs.However,they also face challenges such as inadequate cover-age of cross-border medical insurance,immature specialized services,inconsistent service standards,and insufficient exploration of cross-border medical care.At the same time,there are opportunities provided by national strategic support and strong market demand,while fierce market competition and slow integration of medical regulations among the three regions pose external threats.Based on the analysis,this article proposes countermeasures and suggestions,including strengthening publicity and innovative in-dustry cooperation,phased development of business,striving for policy coverage,enhancing business coordination,accelerating cooperation with the Hong Kong and Macao in medical care,and promoting international accreditation of hospitals.These sugges-tions provide decision-making references for the development of medical services for Hong Kong and Macao residents in Guang-dong's public hospitals.

Under the background of the integrated development of the Guangdong-Hong Kong-Macao Greater Bay Area,the demand for medical services from Hong Kong and Macao residents in Guangdong continues to grow.As the main force in pro-viding medical services in Guangdong,public hospitals play a crucial role.This article aims to explore the current situation of the development of medical services for Hong Kong and Macao residents in Guangdong and propose development strategies from the perspective of hospitals to contribute to the integrated development of the Greater Bay Area.The SWOT method is used to system-atically evaluate the strengths,weaknesses,opportunities,and threats of Guangdong public hospitals in the development of medi-cal services for Hong Kong and Macao residents.A SWOT matrix is then constructed to formulate development countermeasures.The analysis shows that Guangdong public hospitals have advantages such as convenient transportation,cultural affinity,abundant medical resources,high service efficiency,and relatively low costs.However,they also face challenges such as inadequate cover-age of cross-border medical insurance,immature specialized services,inconsistent service standards,and insufficient exploration of cross-border medical care.At the same time,there are opportunities provided by national strategic support and strong market demand,while fierce market competition and slow integration of medical regulations among the three regions pose external threats.Based on the analysis,this article proposes countermeasures and suggestions,including strengthening publicity and innovative in-dustry cooperation,phased development of business,striving for policy coverage,enhancing business coordination,accelerating cooperation with the Hong Kong and Macao in medical care,and promoting international accreditation of hospitals.These sugges-tions provide decision-making references for the development of medical services for Hong Kong and Macao residents in Guang-dong's public hospitals.

Objective:To analyze the symptom characteristics of Coronavirus Disease 2019(COVID-19) and to improve its prevention by using big data.Methods:Using Baidu Index Platform (http://index.baidu.com) and the website of Chinese Center for Disease Control and Prevention as data resources, we obtained the search volume (SV) of keywords for symptoms associated with COVID-19 from January 1 to February 20 in each year from 2017 to 2020, in Hubei province and other top 10 impacted provinces in China and the epidemic data. Data of 2020 were compared with the previous three years. Data of Hubei province were compared with confirmed cases. The differences and characteristics of the SV of COVID-19-related symptoms, and the correlation between the SV of COVID-19 and new confirmed or suspected cases were analyzed and the hysteresis effects were discussed. R3.6.2 software was used to analyze the data.Results:Compared the data from January 1 to February 20, 2020, with the SV for the same period of previous three years, Hubei′s SV for cough, fever, diarrhea, chest tightness, dyspnea and other symptoms were significantly increased. The total SV of lower respiratory symptoms was significantly higher than that of upper respiratory symptoms ( P<0.001). The SV of COVID-19 in Hubei province was significantly correlated with new confirmed or suspected cases ( rconfirmed=0.723, rsuspected=0.863, all P<0.001). The results of the distributed lag model suggested that the patients who retrieved relevant symptoms on the internet may begin to see a doctor in 2-3 days later and be diagnosed in 3-4 days later. Conclusions:The total SV of lower respiratory symptoms is higher than that of upper respiratory symptoms, and the SV of diarrhea also increases significantly. It warns us to pay attention to not only the symptoms of lower respiratory tract, but also the gastrointestinal symptoms, especially diarrhea in patients with COVID-19. There is a relationship between internet retrieval behavior and the number of new confirmed or suspected cases. Big data have a certain role in the early warning of infectious diseases.