Objective: To evaluate the development of blood transfusion services in Mainland China within the context of health-care system reform.Background: China launched a health-care reform program in 2009 to redistribute health-care resources, which are currently over-concentrated in well-developed cities. A geographically equitable blood transfusion service is key to achieving this goal.Methods: Based on the national survey of blood establishments in July 2015, total blood collection, whole-blood donations per 1000 population and the supply and demand relationship were analysed at the administrative region level. Areas at different developmental levels were compared in terms of total blood collection and human resources. Results:In 2014, Mainland China's 31 provinces showed wide variation, with total blood collection in blood facilities ranging from about 1000 units to over 600 000 units (each 200 mL), and the whole-blood donation rate per 1000 population, ranging from 1·48 to 17·09. 69% of the country's total collection, was concentrated in 29 provincial capitals, and 31% was in 311 non-capital cities. Of 97 personnel with doctorates, 74 worked in 32 provincial blood establishments, whereas the remaining 23 worked at the other 318 blood stations. In most provinces, per permanent resident donation was within 2-4 mL, and blood volume per inpatient was 10-35 mL regardless of the development of the transfusion service. Conclusion:In 2014, China had an imbalanced development and insufficient access to blood transfusion services. This service must be redeployed at the national level to facilitate health-care reform in China.

BackgroundThe early spatiotemporal transmission of COVID-19 remains unclear. The community to healthcare agencies and back to community (CHC) model was tested in our study to simulate the early phase of COVID-19 transmission in Wuhan, China.MethodsWe conducted a retrospective study. COVID-19 case series reported to the Municipal Notifiable Disease Report System of Wuhan from December 2019 to March 2020 from 17 communities were collected. Cases from healthcare workers (HW) and from community members (CM) were distinguished by documented occupations. Overall spatial and temporal relationships between HW and CM COVID-19 cases were visualised. The CHC model was then simulated. The turning point separating phase 1 and phase 2 was determined using a quadratic model. For phases 1 and 2, linear regression was used to quantify the relationship between HW and CM COVID-19 cases.ResultsThe spatial and temporal distributions of COVID-19 cases between HWs and CMs were closely correlated. The turning point was 36.85±18.37 (range 15–70). The linear model fitted well for phase 1 (mean R2=0.98) and phase 2 (mean R2=0.93). In phase 1, the estimated α^s were positive (from 18.03 to 94.99), with smaller β^s (from 2.98 to 15.14); in phase 2, the estimated α^s were negative (from −4.22 to −81.87), with larger β^s (from 5.37 to 78.12).ConclusionTransmission of COVID-19 from the community to healthcare agencies and back to the community was confirmed in Wuhan. Prevention and control measures for COVID-19 in hospitals and among HWs are crucial and warrant further attention.