Abstract：Objective To evaluate the basic development status of public health emergencies of infectious diseases in Hainan Province from 2013 to 2022, analyze the distribution and characteristics of these emergencies, as to provide important scientific basis for the study and formulation of economic health development planning policies, for the health security policies and infectious disease prevention and control strategies in Hainan Province. Methods The relevant statistical data of public health emergencies involving infectious diseases reported in Hainan Province from 2013 to 2022 were collected, and the status quo of these emergencies was analyzed by using descriptive data statistical analysis method. The ARIMA model was used to predict the number of public health emergencies reported by infectious diseases in Hainan Province from 2023 to 2025. Results From 2013 to 2022, a total of 482 public health emergencies were reported in Hainan Province, of which 426 were infectious disease public health emergencies, accounting for 88.38%, with a total of 8 876 cases, an incidence rate of 0.61%, and eight deaths, a case fatality rate of 0.09%. The major public health emergencies of infectious diseases were unclassified events and general events, accounting for 69.25% and 29.58%, respectively. The main diseases were novel coronavirus infection, chickenpox and hand, foot and mouth disease, accounting for 45.07%, 15.49% and 11.97%, respectively; in terms of time distribution, the number of reported incidents showed an upward trend over time, with a decline in 2021, and mainly had three peak periods, April, August and December, with a total of 220 cases reported; in terms of regional distribution, the major cities and counties reported were Haikou, Wanning and Wenchang, accounting for 27.46%, 19.25% and 9.86%, respectively; in terms of location distribution, the events mainly occurred in schools, accounting for 42.02% of the total number of incidents. The ARIMA(1, 1, 0) model was used to predict infectious disease public health emergencies, and the results showed that the forecast state would be stable from 2023 to 2025, with no obvious upward trend, that is, the fluctuation range of public health emergencies related to infectious diseases in Hainan Province would be stable in the next three years. Conclusion The number of infectious disease public health emergencies reported in Hainan Province from 2013 to 2022 has increased year by year, with a decline in 2021. Although the forecast shows that public health emergencies such as infectious diseases are relatively stable with no obvious upward trend, the prevention and control of the epidemic should not be taken lightly. Hainan Province should continue to increase the investment in monitoring public health emergencies, improve the information system of public disease prevention and control, and carry out real-time monitoring of public health emergencies of infectious diseases.

Objective:To explore the impact of applying micro-video tracing training model to emerging infectious diseases (EIDs) knowledge training on the autonomous learning ability and learning outcomes among emergency department nurses.Methods:In this study, the training content was developed from the perspective of the historical development of EIDs. The training program was constructed in the form of a micro-video classification module and periodic WeChat group push-based autonomous learning. Convenience sampling was used to select 85 emergency nurses ( n=85) from a grade A tertiary general hospital in Shanghai for micro-video tracing training. The nurses were provided with EIDs knowledge training using a module consisting of 11 episodes, each of which included 5 sessions, i.e., enlightening thinking, micro-video learning, key point consolidation, key point analysis, and extension and expansion. After the intervention, the nurses were compared for their autonomous learning ability and their knowledge, belief, and action levels of EIDs, and their degree of satisfaction with the training model was evaluated. SPSS 20.0 and GraphPad Prism 9.3.0 were used for non-parametric Wilcoxon paired tests of quartiles ( Q25, M, and Q75). Results:After the training, the emergency department nurses had significantly higher scores in overall autonomous learning ability ( Z=-4.69, P<0.001) and in each dimension: concept of self-motivation ( Z=-4.48, P<0.001), task analysis ( Z=-4.06, P<0.001), self-monitoring and regulation ( Z=-4.50, P<0.001), and self-evaluation ( Z=-4.82, P<0.001); they had significantly higher scores in overall knowledge, belief, and action levels of EIDs ( Z=-4.65, P<0.001) and in each dimension: knowledge ( Z=-4.04, P<0.001), belief ( Z=-3.24, P=0.001), and action ( Z=-4.05, P<0.001). Emergency department nurses had a high degree of satisfaction with the training model (degree of satisfaction for each item >90%). Conclusions:The micro-video tracing training model can effectively improve the autonomous learning ability of emergency department nurses and their knowledge, belief, and action levels of EIDs, with a high degree of satisfaction among the nurses, making it promising for wide use.

Objective: To discuss the effect of high-density fat-binding SVF-GEL in female facial lipofilling. Methods: This is a retrospective study including 32 female patients, received facial fat transplantation during June 2017 to June 2018 in Yichun College. Each patient underwent high-density fat-binding SVF-GEL transplantation for facial surgery. Patients′satisfaction with the surgery and the rate of secondary surgery was evaluated. Fat was harvested from the inner thigh, centrifuged at 1200 g for 3 min, and the liquid was removed. The upper 2/3 part is prepared for SVF-GEL, for further used in delicate lipofilling in eyelid, tear groove and nasolabial groove. The lower 1/3 high density fat was used for volume restoration, such as forehead, temporal area and cheek. Results: All patients had significant improvements in facial contours with mild swelling and short recovery time. The satisfaction rate was 68.8%(22/32), and the second operation rate was 15.6%(5/32). Conclusions High-density fat-binding SVF-GEL transplantation can achieve good results in correcting facial volume loss.