The traditional Chinese medicine has played an important role in the prevention and control of coronavirus disease 2019 (COVID-19). Based on the role of traditional Chinese medicine in dealing with the previous epidemics and COVID-19, this paper analyzes the problems and challenges of current situation, and focuses on improving traditional Chinese medicine scientific identification, strengthening the construction of traditional Chinese medicine system, and increasing the intensity of Chinese and Western medicine and so on. In order to improve the cooperation mechanism of Chinese and Western medicine for epidemic prevention and control, and give full play to the role of traditional Chinese medicine in the construction of national public health emergency system, this paper also gives ten corresponding suggestions.
Traditional Chinese medicine has been used for the treatment of many diseases including acute infections often associated with public health emergencies for thousands of years. However, clinical evidence supporting the use of these treatments is insufficient, and the mechanism for using Chinese medicine therapy in the public health setting has not been fully established. In this report, the Evidence-based Traditional and Integrative Chinese medicine Responding to Public Health Emergencies Working Group proposed five recommendations to facilitate the inclusion of Chinese medicine as part of our responses to public health emergencies. It is expected that the Working Group’s proposals may promote the investigation and practice of Chinese Medicine in public health settings.
Objective To investigate the accurateness and rapidity of information on SARS , and to provide evidence for decision-making in the construction of the public health information system of China, including information collection, identification and release. Method SARS related information was systematically collected, from ① databases including Medline, CBMdisc and Cochrane Library; ② official websites including WHO, MOH and CDC; ③ non-governmental websites including Sina, Sohu, Yahoo; ④ eleven Chinese Journals and ⑤ gray literatures, These evidence were graded based on their scientific sense, and were analyzed according to their rapidity of release. Results A total of 11 955 pieces of related information were collected. Non-governmental websites were the agents that released the largest number of information (46.7%). Regarding the scientific sense of evidence, hand searched journal was at the top of the evidence pyramid, and followed by Medline, gray literature, CBMdisc, official and non-governmental websites. Regarding the rapidity, official website achieved the most rapid information release, which was followed by nongovernmental website, journal, and database. 71.8 percent of information from official websites was in Chinese, while 65 percent was from database. Conclusions The SARS information from China has contributed enormously to the global information release. Although the amount and rapidity of the information were satisfied, management and deep processing of information should be improved.
In response to the need for health economics modelers to apply more appropriate complex systems models to address complex challenges in public health, an international team of more than 40 experts in the field of complex systems models and economic evaluation has developed and recently published a guideline on the application of complex systems models to the economic evaluation of public health interventions. This paper introduces the development process and main content of the guidelines, which can provide references to facilitate the application of the guidelines by domestic researchers, aiming to ultimately improve the overall quality of public health research and services and improve the health of the population in China.
The rapid development of medical informatization and continuous innovation of artificial intelligence have made it possible to analyze data and predict prognosis through making full use of data analysis or data mining methods in medical field, which can provide not only more accurate basis of diagnosis and treatment for patients but also important decision-making reference for the government and hospitals to allocate medical resources reasonably. As a classical model for processing time series data in machine learning, long short-term memory network can break through some limitations of statistics to process large and complex medical data. The current applications of long short-term memory networks in medical and biomedical fields can be mainly summarized as seven themes, including natural language processing, biomedical information, signals, motion, clinical medical records, hospital management, and public health and policy.
In order to help Chinese guideline developers, clinicians, health policy makers and other relevant researchers fully understand and make appropriate use of World Health Organization (WHO) guidelines, Chinese GRADE Center and Guidelines Review Committee of World Health Organization (WHO-GRC) have written a series of papers about development methods, review principles and the structure and content of WHO guidelines. This is the third (also last) paper which interpreted Consolidated Guidelines on the Use of Antiretroviral Drugs for Treating and Preventing HIV Infection and Guidelines for the Screening, Care and Treatment of Persons with Hepatitis C Infection as examples with the process and steps of WHO guideline development.
Objective To assess the methodology and report quality of Chinese systematic reviews/ meta-analyses on prevention and control of six major diseases in public health. Methods Chinese literatures of systematic reviews/ meta-analyses on prevention and control of six major diseases, including cancer, cerebrovascular disease, cardiovascular disease, hepatitis B, tuberculosis, and AIDS were searched in CQVIP, WANFANG Database, CNKI, and the Chinese Biomedical Literature Database from the establishment date to June, 2010. Two researchers independently screened and evaluated the data, disagreements were resolved by discussion. Methodology quality and report quality of included reviews were evaluated by OQAQ scale and PRISMA scale. Result Of the 139 literatures included in the analysis, 32 were systematic reviews while 107 were meta-analyses. The highest and lowest scores of methodology quality were 6.5 and 1.5 respectively. The average score was 4.66±0.92 and no literature could meet all nine items. The main problems were insufficient in literatures resource, bias in data selection, lack of rigorous quality assessment for included original studies and so on. The average score of report quality were 15.28±2.91 and the main problems were incomplete report in abstract, data collection and analysis methods, bias control, conclusion and so on. Conclusion Both of the methodology quality and report quality of included literatures have problems in different levels, which require to be further improved.
Objective To evaluate the current status of human resources in healthcare-associated infection prevention and control (infection control) in Jiangxi Province, and explore the impact of emergency public health events on the human resources of infection control professionals in various levels and types of medical institutions. Methods From October 1st to 31st, 2023, questionnaire and on-site interviews were conducted to investigate the human resources situation of infection control professionals in various levels and types of medical institutions in Jiangxi Province. Three stages were selected for the investigation: before the outbreak of COVID-19 (before the event, December 2019), during the event (June 2022), and after the transition of COVID-19 (after the event, June 2023), focusing on the characteristics of human resources between before the event and after the event by the comparative analysis. Results Finally, 289 medical institutions were included. There was a statistically significant difference in the number of infection control professionals in medical institutions among 2019, 2022, and 2023 (χ2=189.677, P<0.001). The number of infection control professionals in 2019 was lower than that in 2022 (P<0.001) and 2023 (P<0.001), but there was no statistically significant difference between 2022 and 2023 (P=0.242). The number of infection control professionals per thousand beds in 2019, 2022, and 2023 was 4.40, 6.16, and 5.76, respectively. There was no statistically significant difference between 2019 and 2023 in terms of professional titles, gender, educational level, or professional background (P>0.05). Conclusion Emergency public health events have promoted the increase in the number of infection control professionals, but there is no statistical significance in the professional titles, educational level, or professional background of infection control professionals.