Objective:To systematically review the progress in the method development and application of distributed learning in the estimation of epidemiological effect and provide methodological reference for multi-center studies.Methods:We conducted a literature retrieval for English papers published up to December 31, 2023 by using keywords of "health/medical big data" and "distributed/federated learning". After consulting experts, we set criteria of paper inclusion and exclusion and created a framework for data extraction. We collected information about basic study details, including method, application, and evaluation. Two researchers independently screened the papers and extracted information. We used EndNote 20 for the management of literatures and EpiData for the management of data.Results:A total of 3 444 papers were collected, and 29 papers were included in the final analysis. Most of the papers (25, 86.2%) were published in or after 2019, and the papers were mainly from the United States (21/29, 72.4%). For the estimation of epidemiological effects, 22 distributed learning methods had been developed, including methods for logistic regression (8), Cox regression (8), Poisson regression (2), and generalized linear mixed model (GLMM) (4), as well as three platforms for distributed analysis (VLP, Vantage6, AusCAT). The 29 papers described 45 applications, with 20 (44.4%) focusing on the establishment of prediction model and 25 (55.6%) on association analysis. Importantly, except for GLMM, current distributed learning methods can estimate effects with little bias in 1-3 rounds of communication. These methods show less bias compared with meta-analysis, especially in the address of data heterogeneity and rare outcomes. However, less studies examined how differences in data structure and sparse data affect results, an area that requires further research.Conclusion:While distributed learning shows promise in epidemiological effect estimation, it is still in early development, requiring further research on data heterogeneity handling and communication efficiency improvement.

OBJECTIVE To explore whether pachymic acid （Pac） regulates mitochondrial autophagy mediated by the PTEN- induced kinase 1 （PINK1）/Parkin RBR E3 ubiquitin-protein ligase （Parkin） signaling pathway to alleviate myocardial injury in coronary heart disease （CHD） rats. METHODS SD rats were divided into control （Con） group， CHD group， Pac low-dose group （Pac-L group）， Pac high-dose group （Pac-H group）， Pac-H+PINK1/Parkin signaling pathway inhibitor group （Pac-H+3-MA group）， with 10 rats in each group. Except for the Con group， CHD models were established in the remaining groups of rats. After successful modeling， the rats in each group were intraperitoneally injected with the corresponding drugs or normal saline. After continuous intervention for 4 weeks， the left ventricular ejection fraction （LVEF）， left ventricular end-diastolic volume （LVEDV）， left ventricular end-systolic volume （LVESV）， and mean arterial pressure （MAP） of the rats were detected. The levels of creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， cardiac troponin I （cTnI）， and cardiac troponin T （cTnT） in the serum， as well as the levels of tumor necrosis factor-α （TNF-α）， interleukin-10 （IL-10）， IL-1β， reactive oxygen species （ROS）， malondialdehyde （MDA） in the myocardial tissue， and the activities of catalase （CAT） and superoxide dismutase （SOD）， as well as the expression levels of p62， cleaved caspase-3， Parkin， PINK1 proteins and the ratio of microtubule-associated protein 1 light chain 3 Ⅱ （LC3Ⅱ）/LC3Ⅰ ratio were measured. The morphology of myocardial tissue and mitochondrial autophagic vesicles were observed， and the number of mitochondrial autophagic vesicles per unit area and the rate of cardiomyocyte apoptosis were counted. RESULTS Compared with CHD group， LVEF， MAP， IL-10 levels， CAT and SOD activities， p62， Parkin， PINK1 protein expressions， LC3Ⅱ/LC3Ⅰ ratio， the numbers of mitochondrial autophagic vesicles per unit area in the Pac-L and Pac-H E-mail：hzdpft@163.com groups were increased significantly （P＜0.05）； the levels of LVEDV， LVESV， CK-MB， LDH， cTnI， cTnT， TNF-α， IL-1β， ROS and MDA， cell apoptosis rates， and protein expression of cleaved caspase-3 were all decreased significantly （P＜0.05）； and the changes in various indicators were more pronounced in the Pac-H group （P＜0.05）； both groups showed varying degree of improvement in myocardial histopathological morphology. Compared with the Pac-H group， the aforementioned indicators in rats from the Pac-H+3-MA group were all significantly reversed （P＜0.05）. CONCLUSIONS Pac may promote mitochondrial autophagy in cardiomyocytes of CHD rats by activating the PINK1/ Parkin signaling pathway， thereby reducing inflammatory responses and oxidative stress and improving myocardial injury.

Objective:To systematically review the progress in the method development and application of distributed learning in the estimation of epidemiological effect and provide methodological reference for multi-center studies.Methods:We conducted a literature retrieval for English papers published up to December 31, 2023 by using keywords of "health/medical big data" and "distributed/federated learning". After consulting experts, we set criteria of paper inclusion and exclusion and created a framework for data extraction. We collected information about basic study details, including method, application, and evaluation. Two researchers independently screened the papers and extracted information. We used EndNote 20 for the management of literatures and EpiData for the management of data.Results:A total of 3 444 papers were collected, and 29 papers were included in the final analysis. Most of the papers (25, 86.2%) were published in or after 2019, and the papers were mainly from the United States (21/29, 72.4%). For the estimation of epidemiological effects, 22 distributed learning methods had been developed, including methods for logistic regression (8), Cox regression (8), Poisson regression (2), and generalized linear mixed model (GLMM) (4), as well as three platforms for distributed analysis (VLP, Vantage6, AusCAT). The 29 papers described 45 applications, with 20 (44.4%) focusing on the establishment of prediction model and 25 (55.6%) on association analysis. Importantly, except for GLMM, current distributed learning methods can estimate effects with little bias in 1-3 rounds of communication. These methods show less bias compared with meta-analysis, especially in the address of data heterogeneity and rare outcomes. However, less studies examined how differences in data structure and sparse data affect results, an area that requires further research.Conclusion:While distributed learning shows promise in epidemiological effect estimation, it is still in early development, requiring further research on data heterogeneity handling and communication efficiency improvement.

Objective:To analyze the epidemiological characteristics and economic burden of palmoplantar pustulosis (PPP) in China.Methods:A population-based retrospective study was conducted using the data from China′s Urban Basic Medical Insurance data from January 1, 2012, to December 31, 2016. International Classification of Diseases code and diagnoses in Chinese for PPP were used to identify cases and estimate the prevalence, incidence, and cost. Subgroup analyses were performed according to age and sex, and sensitivity analyses were conducted to evaluate the robustness of the results. Age-adjusted prevalence rates were calculated based on the 2010 national census data.Results:The crude prevalence and incidence rate of PPP in 2016 were 2.730/100 000 (95% CI: 2.218/100 000-3.242/100 000) and 1.556/100 000 (95% CI: 1.154/100 000-1.958/100 000), and the prevalence rate of females (2.910/100 000) was higher than that of males (2.490/100 000, χ2=97.48, P=0.001). The incidence rate of females (1.745/100 000) was also higher than that of males (1.418/100 000, χ2=85.02, P=0.001). The age peak of incidence and prevalence of patients with PPP was in the 30-39-year age group and a small peak existed in the 0-3-year age group among people under 20 years old. From 2012 to 2016, the average number of visits was (2.44±0.04) per patient, and the total per-capita cost per year was (982.40±39.19) yuan. Conclusion:In 2016, the prevalence and incidence rate of PPP in China were higher in females than in males, and the highest age peak was in the 30-39-year age group.

Objective:To analyze the epidemiological characteristics and economic burden of palmoplantar pustulosis (PPP) in China.Methods:A population-based retrospective study was conducted using the data from China′s Urban Basic Medical Insurance data from January 1, 2012, to December 31, 2016. International Classification of Diseases code and diagnoses in Chinese for PPP were used to identify cases and estimate the prevalence, incidence, and cost. Subgroup analyses were performed according to age and sex, and sensitivity analyses were conducted to evaluate the robustness of the results. Age-adjusted prevalence rates were calculated based on the 2010 national census data.Results:The crude prevalence and incidence rate of PPP in 2016 were 2.730/100 000 (95% CI: 2.218/100 000-3.242/100 000) and 1.556/100 000 (95% CI: 1.154/100 000-1.958/100 000), and the prevalence rate of females (2.910/100 000) was higher than that of males (2.490/100 000, χ2=97.48, P=0.001). The incidence rate of females (1.745/100 000) was also higher than that of males (1.418/100 000, χ2=85.02, P=0.001). The age peak of incidence and prevalence of patients with PPP was in the 30-39-year age group and a small peak existed in the 0-3-year age group among people under 20 years old. From 2012 to 2016, the average number of visits was (2.44±0.04) per patient, and the total per-capita cost per year was (982.40±39.19) yuan. Conclusion:In 2016, the prevalence and incidence rate of PPP in China were higher in females than in males, and the highest age peak was in the 30-39-year age group.

Epidemiology and medical statistics are essential courses for undergraduate students majoring in clinical medicine. By studying the two courses, they can obtain the core skills for their future clinical practice. High-level medical schools both at home and abroad have accumulated successful experiences in curriculum, teaching methods and teaching models of the two disciplines. These colleges have also carried out the exploration of the curriculum reform centering on "organ systems integration". This paper summarizes the current status of epidemiology and medical statistics teaching and curriculum integration in representative medical schools both at home and abroad, and puts forward suggestions for deepening teaching reform and optimizing the curriculum system to provide reference for the integration of epidemiology and medical statistics curriculums for undergraduate students majoring in clinical medicine in China.

BACKGROUND: Data on the immunogenicity and safety of heterologous immunization schedules are inconsistent. This study aimed to evaluate the immunogenicity and safety of homologous and heterologous immunization schedules. METHODS: Multiple databases with relevant studies were searched with an end date of October 31, 2021, and a website including a series of Coronavirus disease 2019 studies was examined for studies before March 31, 2022. Randomized controlled trials (RCTs) that compared different heterologous and homologous regimens among adults that reported immunogenicity and safety outcomes were reviewed. Primary outcomes included neutralizing antibodies against the original strain and serious adverse events (SAEs). A network meta-analysis (NMA) was conducted using a random-effects model. RESULTS: In all, 11 RCTs were included in the systematic review, and nine were ultimately included in the NMA. Among participants who received two doses of CoronaVac, another dose of mRNA or a non-replicating viral vector vaccine resulted in a significantly higher level of neutralizing antibody than a third CoronaVac 600 sino unit (SU); a dose of BNT162b2 induced the highest geometric mean ratio (GMR) of 15.24, 95% confidence interval [CI]: 9.53-24.39. Following one dose of BNT162b2 vaccination, a dose of mRNA-1273 generated a significantly higher level of neutralizing antibody than BNT162b2 alone (GMR = 1.32; 95% CI: 1.06-1.64), NVX-CoV2373 (GMR = 1.60; 95% CI: 1.16-2.21), or ChAdOx1 (GMR = 1.80; 95% CI: 1.25-2.59). Following one dose of ChAdOx1, a dose of mRNA-1273 was also more effective for improving antibody levels than ChAdOx1 (GMR = 11.09; 95% CI: 8.36-14.71) or NVX-CoV2373 (GMR = 2.87; 95% CI: 1.08-3.91). No significant difference in the risk for SAEs was found in any comparisons. CONCLUSIONS: Relative to vaccination with two doses of CoronaVac, a dose of BNT162b2 as a booster substantially enhances immunogenicity reactions and has a relatively acceptable risk for SAEs relative to other vaccines. For primary vaccination, schedules including mRNA vaccines induce a greater immune response. However, the comparatively higher risk for local and systemic adverse events introduced by mRNA vaccines should be noted. REGISTRATION PROSPERO; https://www.crd.york.ac.uk/PROSPERO/ ; No. CRD42021278149.
Adult ; Humans ; BNT162 Vaccine ; 2019-nCoV Vaccine mRNA-1273 ; Network Meta-Analysis ; Immunization Schedule ; COVID-19/prevention & control* ; COVID-19 Vaccines/adverse effects* ; Viral Vaccines ; mRNA Vaccines ; Antibodies, Neutralizing ; Antibodies, Viral

Objective:To understand the infection status and characteristics of 2019-nCoV infection in different areas in China after the adjustment of the national prevention and control strategy of 2019-nCoV infection.Methods:The online questionnaire survey was conducted among staff and students of 39 public health schools in 23 provinces (municipalities) in China from 12: 00 on December 20 to 9: 00 on December 23, 2022. The infection rates in staff and students in all the provinces were estimated. The risk factors, demographic and clinical characteristics of 2019-nCoV infections were explored.Results:A total of 28 901 valid questionnaires were obtained (26 355 from students and 2 546 from staff) with a qualified rate of 94.3%. The infection rates varied greatly among provinces and cities; the infection rates in students and staff in Beijing reached 78.55% and 76.40%, respectively. Infection rates in students and staff in Tianjin and Hebei also exceeded 65.00%, and 96.76% of infections occurred on and after December 1, 2022. Students had lower risk for the infection compared with staff ( OR=0.72, 95% CI: 0.60-0.86). Compared with age group ≤20 years, the OR of age groups 21-30, 31-40, 41-50, 51-60 and > 60 years were 1.22 (95% CI: 1.14-1.30), 1.54 (95% CI: 1.30-1.84), 1.25 (95% CI: 0.99-1.58), 1.29 (95% CI: 0.94-1.78) and 1.19 (95% CI: 0.51-2.80), respectively. The longer the period after the last vaccination, the higher the risk for the infection. Compared with those who received the last vaccination in the past 3 months, the OR of those who received the last vaccination in the past 4-6 months, 7-9 months, 10-12 months, 13-15 months and ≥16 months were 1.56 (95% CI: 1.34-1.82), 1.59 (95% CI: 1.36-1.86), 1.67 (95% CI: 1.45-1.93), 1.86 (95% CI:1.58-2.19) and 2.46 (95% CI: 2.09-2.90), respectively. Compared with those living alone, the OR of those living with 1-2, 3-4 and ≥5 roommates were 17.55 (95% CI: 15.91-19.39), 20.22 (95% CI: 18.25-22.43) and 11.78 (95% CI: 10.40-13.36), respectively. Only 5.94% of the staff and 7.19% of the students reported asymptomatic infections. Among those with symptoms, 88.18% of students and 85.65% of staff reported symptom of fever. Conclusions:The transmission dynamics of 2019-nCoV infection varied significantly across the country. The speed of transmission of 2019-nCoV and clinical severity of the infection were far beyond our knowledge. Organized epidemiological survey should be regularly carried out to provide reliable data support for more accurate prediction of the epidemic and medical resource allocation.

Objective:To construct indicators of the ideological and political resource database construction for the curriculum of "Epidemiology".Methods:Two rounds of expert consultation were conducted in 15 experts from 4 universities and 1 textbook publishing house using the Delphi method, and the importance and feasibility scores of the indicators were calculated with the degree of concentration and coordination of experts' opinions.Results:In the two rounds of consultation, the experts' positive coefficient of the two questionnaires were both 100.00% (15/15), the authoritative coefficients of experts were both 0.83, and the Kendall's W was 0.27 ( P<0.05) and 0.33 ( P<0.05), respectively. Consensus was reached on 4 primary indicators and 31 secondary indicators. Conclusion:The process of this study is scientific, and the indicators for the construction of ideological and political resource database for the curriculum of "Epidemiology" are authoritative, which can promote the establishment of ideological and political resource database for the curriculum of "Epidemiology".

With the rapid development of Internet technology and the continuous advancement of medical informatization, big data in healthcare has gradually become an important resource to innovate health management and meet the growing health needs of people and the application of big data in healthcare has been one of the indispensable parts of national big data strategy in China. Based on the established healthcare big data platform and the application of big data technology, Yinzhou district has made innovative efforts to explore a new model driven by big data for the prevention and control of communicable and non-communicable diseases and the management of vaccination programs. It is expected that the "Internet plus healthcare" model will strengthen the disease prevention and control and public health management in local area, create a new business form and provide strong support for Healthy China 2030. This article introduces this new model driven by big data in Yinzhou and discusses the preliminary efficiency of this model in public health practice.