It is of great significance to analyze the configuration of programs funded by the National Natural Science Foundation of China using funding data in the field of preventive medicine from 2007 to 2021. The analysis mainly focused on the funding status of the program, funding amount, funded institutions and personnel. A total of 5 349 programs in the discipline of preventive medicine were funded over the last 15 years. The funding amount in this discipline accounted for a relatively low proportion in the total funding amount of the Department of Medical Sciences and this proportion also showed a decreasing trend. Non-infectious disease epidemiology, human nutrition, and health toxicology were the top three subdisciplines of all funded programs in preventive medicine. The proportion of programs led by young scholars was gradually rising over the years, and young scholars were playing an increasingly influential role in scientific research. The funding status among each subdiscipline and institution also varied. The results of this study reflected the thriving of preventive medicine. Meanwhile, some problems and dilemmas were also revealed in its current development. Hopefully, this study could provide valuable information for institutions and preventive medicine researchers to apply for National Natural Science Foundation, and promote the long-term development of preventive medicine in the future.

It is of great significance to analyze the configuration of programs funded by the National Natural Science Foundation of China using funding data in the field of preventive medicine from 2007 to 2021. The analysis mainly focused on the funding status of the program, funding amount, funded institutions and personnel. A total of 5 349 programs in the discipline of preventive medicine were funded over the last 15 years. The funding amount in this discipline accounted for a relatively low proportion in the total funding amount of the Department of Medical Sciences and this proportion also showed a decreasing trend. Non-infectious disease epidemiology, human nutrition, and health toxicology were the top three subdisciplines of all funded programs in preventive medicine. The proportion of programs led by young scholars was gradually rising over the years, and young scholars were playing an increasingly influential role in scientific research. The funding status among each subdiscipline and institution also varied. The results of this study reflected the thriving of preventive medicine. Meanwhile, some problems and dilemmas were also revealed in its current development. Hopefully, this study could provide valuable information for institutions and preventive medicine researchers to apply for National Natural Science Foundation, and promote the long-term development of preventive medicine in the future.

Objective To explore the epidemiological situation and characteristics of human brucellosis in Jiangsu Province from 2006 to 2017,and to provide scientific evidences for its prevention and control.Methods Using a retrospective study,data of brucellosis epidemic in Jiangsu Province from 2006 to 2017 were collected.The epidemic data of brucellosis and the population data were derived from China Disease Prevention and Control Information System,etiological data of brucellosis from 2011 to 2017 were derived from the surveillance report of brucellosis in Jiangsu Province.The overall incidence of brucellosis,pathogen research and regional,seasonal,and population distribution characteristics of cases were analyzed.Results A total of 607 prevalent cases of brucellosis were reported in Jiangsu Province from 2006 to 2017,with an average annual incidence rate of 0.065/100 000,including 595 incident cases.The number of reported case showed a sharp upward trend in 2011-2017,the incidence rates were in an increasing trend (t =5.623,P ＜ 0.01).A total of 132 Brucella strains were isolated from serum samples in Jiangsu Province in 2011-2017,all of the strains were sheep breeds,of which sheep type 3 accounted for 84.85％ (112/132).The top five cities with annual incidence of brucellosis from 2006 to 2017 were Xuzhou,Lianyungang,Suzhou,Huai'an and Suqian,with the incidence rates of 0.223/100 000,0.210/100 000,0.128/100 000,0.108/100 000 and 0.102/100 000,respectively.Brucellosis cases were distributed in each month,with the 540 cases (90.76％,540/595) from January to September.There were 446 males and 161 females in 607 cases of brucellosis,the sex ratio was 2.77:1.00.A total of 579 cases were reported in the age group of 20-74 years old,accounting for 95.39％.The occupational distribution was mainly peasants,which accounting for 60.13％ (365/607).Conclusions The epidemic situation of human brucellosis in Jiangsu Province is becoming increasingly serious recently.Males and peasants are main incidence population.Thus,we should pay more attention to the livestock quarantine and the surveillance and control of brucellosis cases in high risk population so as to control the epidemic situation of brucellosis effectively.

Objective To investigate the infection status of HCV in remunerated blood donors and risk factors in Jiangsu province.Methods A Cross-sectional study was conducted among people aged ＞50 years.Questionnaires were used to collect the information about their demographic characteristics and risk behaviors,and venous blood samples were collected from them to detect HCV anti-body,HCV-RNA and other biochemical indicators.EpiData and Stata were used for data entry and statistical analysis.Results The overall HCV sero-prevalence rates were 22.55％ and 61.05％ among remunerated blood donors.Data firom multiple stepwise regression analysis showed that alanine aminotransferase (ALT) (adjusted OR=1.38,95％CI:1.18-1.62) and aspartate aminotransferase (AST) (adjusted OR=l.30,95％CI:1.10-1.54) were associated with the outcomes of HCV infection,and fasting plasma glucose (adjusted OR=1.17,95％CI:1.01-1.35) were associated with HCV RNA viral loads.Conclusion The prevalence of HCV infection in remunerated blood donors was high,clinical ALT,AST and fasting plasma glucose levels were associated with the risk for HCV infection and HCV RNA viral load.

OBJECTIVEThe migrant population is a vulnerable group for HIV infection in China. Understanding potential epidemic trends among migrants is critical for developing HIV preventative measures in this population.

METHODSThe Estimation and Projection Package (EPP) model was used to process prefecture and county-level surveillance data to generate HIV prevalence and epidemic trends for migrant populations in China.

RESULTSThe prevalence of HIV among migrants in 2009 was estimated at 0.075% (95% CI: 0.042%, 0.108%) in China. The HIV epidemic among migrants is likely to increase over the next 5 years, with the prevalence expected to reach 0.110% (95% CI: 0.070%, 0.150%) by 2015.

CONCLUSIONAlthough the 2009 estimates for the HIV/AIDS epidemic in China indicate a slower rate of increase compared with the national HIV/AIDS epidemic, it is estimated to persistently increase among migrants over the next 5 years. Migrants will have a strong impact on the overall future of the HIV epidemic trend in China and evidence-based prevention and monitoring efforts should be expanded for this vulnerable population.

China ; epidemiology ; Condoms ; Epidemics ; statistics & numerical data ; Female ; HIV Infections ; epidemiology ; Humans ; Male ; Models, Theoretical ; Prevalence ; Risk Factors ; Safe Sex ; Sexual Behavior ; Transients and Migrants

COVID-19 is a public health emergency currently. In this study, a scale-free network model is established based on the Spring Migration data in 2020.The cities is clustered into three different modules. The epidemic of the cities in the black module was the most serious, followed by the red and the cyan. The black module contains 9 cities in Zhejiang province and 8 cities in Guangdong province, most of them located in the southeast coastal economic belt. These cities should be the key cities for epidemic prevention and control.

COVID-19 is a public health emergency currently. In this study, a scale-free network model is established based on the Spring Migration data in 2020.The cities is clustered into three different modules. The epidemic of the cities in the black module was the most serious, followed by the red and the cyan. The black module contains 9 cities in Zhejiang province and 8 cities in Guangdong province, most of them located in the southeast coastal economic belt. These cities should be the key cities for epidemic prevention and control.

Since the implementation of antiretroviral therapy (ART), it has achieved remarkable results in the field of HIV/AIDS treatment. However, when the treatment is applied to the population-level, the actual impact of ART on the HIV epidemic becomes a hot topic in the field. This paper will summarize the research on ART and HIV epidemic in recent years, and discuss the impact of ART on the trend of HIV epidemic, so as to provide scientific support and suggestions for the role of treatment is prevention.

Shortcomings have been inherited in the traditional influenza early warning system, often expressed through the scope, accuracy on prediction and real-time performance of the monitor related programs. With the new round of scientific and technological revolution and the increasingly maturity of modern information system, related technology on influenza early warning has become the focus of research in this field, based on big data analysis technology. Using the traditional influenza surveillance and early warning system as reference, this paper summarizes the progress of influenza early warning research, based on the Internet, influencing factors, time and space trends, and risk assessment etc., to summarize the trends on the advantages, shortcomings and future development of big data, used in the early warning system on influenza.

Objective:To establish a new model for the prediction of severe outcomes of COVID-19 patients and provide more comprehensive, accurate and timely indicators for the early identification of severe COVID-19 patients.Methods:Based on the patients’ admission detection indicators, mild or severe status of COVID-19, and dynamic changes in admission indicators (the differences between indicators of two measurements) and other input variables, XGBoost method was applied to establish a prediction model to evaluate the risk of severe outcomes of the COVID-19 patients after admission. Follow up was done for the selected patients from admission to discharge, and their outcomes were observed to evaluate the predicted results of this model.Results:In the training set of 100 COVID-19 patients, six predictors with higher scores were screened and a prediction model was established. The high-risk range of the predictor variables was calculated as: blood oxygen saturation <94 %, peripheral white blood cells count >8.0×10 9, change in systolic blood pressure <-2.5 mmHg, heart rate >90 beats/min, multiple small patchy shadows, age >30 years, and change in heart rate <12.5 beats/min. The prediction sensitivity of the model based on the training set was 61.7 %, and the missed diagnosis rate was 38.3 %. The prediction sensitivity of the model based on the test set was 75.0 %, and the missed diagnosis rate was 25.0 %. Conclusions:Compared with the traditional prediction (i.e. using indicators from the first test at admission and the critical admission conditions to assess whether patients are in mild or severe status), the new model’s prediction additionally takes into account of the baseline physiological indicators and dynamic changes of COVID-19 patients, so it can predict the risk of severe outcomes in COVID-19 patients more comprehensively and accurately to reduce the missed diagnosis of severe COVID-19.