Objective To systematically analyze the trends in life expectancy and healthy life expectancy in China from 1990 to 2023, identify the factors influencing changes in life expectancy, and provide scientific evidence for the Healthy China Strategy. Methods Based on the most recent authoritative data from the Global Burden of Disease Study 2023 (GBD 2023), the United Nations Population Division, the World Bank, and Our World in Data, complete life tables and cause-deleted life tables were constructed. Analytical methods including Joinpoint regression and ARIMA forecasting were comprehensively applied to systematically evaluate life expectancy, survival probability, and the burden of diseases and risk factors. Results From 1990 to 2023, life expectancy at birth in China exhibited sustained and rapid growth (average annual percentage change, AAPC = 0.63%), with a growth rate significantly higher than those observed in the United States, Japan, and the global average (AAPC = 0.12%, 0.21%, and 0.45%, respectively). Survival probability improved across all age groups, with particularly notable gains in children and the oldest-old. Interprovincial and sex-based disparities persisted. Cause-deleted analysis revealed that cardiovascular disease (CVD) accounted for the greatest loss in life expectancy at birth. From 2004 to 2020, years of life lost due to CVD increased annually, reaching 8.70 years in 2020 for the zero-age group in China. Neoplasm ranked second in causing life expectancy loss, which remained relatively stable at approximately 3 years over the study period. Among risk factors, tobacco use, hypertension, air pollution, dietary risks, and high fasting plasma glucose were identified as prominent contributors to life expectancy loss. Strong positive correlations were observed between health resources, economic growth, and life expectancy. Conclusion China has made remarkable progress in extending lifespan and improving quality of life, but it still faces challenges such as chronic diseases limiting lifespan and life quality, diverse health risks, and disparities in health levels and life expectancy across regions and populations.

Objective To analyze the disease burden and trends of bladder cancer in China and globally from 1992 to 2021.  Methods Using the GBD 2021 database, the incidence, prevalence, mortality, and disability-adjusted life years (DALYs) rates of bladder cancer in China and globally from 1992–2021 were analyzed. Average annual percentage change (AAPC) was calculated using Joinpoint regression. Subgroup analyses by sex and age were conducted, and a Bayesian age-period-cohort (BAPC) model was used to predict trends in age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) for the next 15 years.  Results In 2021, China reported 106 000 new cases (ASIR: 5.14/100 000), 571 000 prevalent cases (age-standardized prevalence rate, ASPR: 26.61/100 000), 43 000 deaths (ASMR: 2.34/100 000), and a DALY rate of 45.31/100 000. From 1992–2021, China showed upward trends in ASIR and ASPR but declines in ASMR and DALYs, while global ASIR, ASMR, and DALYs decreased overall with slow ASPR growth. The peak cases in China and globally were both concentrated in the 65-79 age group, with a significantly higher burden on males than females. In China, smoking-related ASMR and ASDR exceeded global averages and rose, whereas high glucose-related indexes were lower and declined. Projections for 2021–2036 indicated that the global incidence and mortality rates would be rising, but ASIR/ASPR would be declining, while in China, the incidence rate would continue to rise, and the mortality rate will stabilize, with a significant increase in ASIR and a gradual decrease in ASPR.  Conclusion From 1992 to 2021, the incidence of bladder cancer in China has shown a continuous upward trend and is projected to persist in the future, with significant gender and age differences. Particular attention should be given to elderly males aged 85-89. The disease burden of bladder cancer attributable to smoking continues to rise, highlighting the urgent need to strengthen tobacco control policies.

Objective To analyze the epidemiological characteristics of hand, foot, and mouth disease (HFMD) in Shanxi Province from 2012 to 2024, and predict the incidence trend for 2025, and to provide a scientific basis for the formulation of prevention and control strategies. Methods Based on the surveillance data of HFMD in Shanxi Province from 2012 to 2024, the spatial and temporal distribution characteristics and time trends of the disease were analyzed. The ARIMA model was constructed and used to predict the incidence trend in 2025. Results From 2012 to 2024, a total of 254 028 HFMD cases were reported in Shanxi Province, with an average annual incidence rate of 54.17 per 100 000 population, a severe case rate of 0.56%, and a case fatality rate (CFR) of 12.60 per 100 000 population. Joinpoint regression analysis showed that the incidence rate, severe case rate, mortality rate, and case fatality rate all presented a downward trend. The epidemic exhibited obvious seasonal distribution characteristics, with the peak period from April to November, and two incidence peaks in June-July and October-November. The male-to-female incidence ratio was 1.41:1. Children aged 1-5 years accounted for 89.24% of the total cases, among which scattered children (58.48%) and nursery children (33.54%) were the high-risk groups. Linfen City (96.06 /100 000) and Taiyuan City (88.54 /100 000) had relatively high incidence rates. After 2017, the proportion of enterovirus A71 (EV-A71) decreased, while coxsackievirus A16 (Cox-A16) and other enteroviruses became the main epidemic strains. The ARIMA(1,0,1)(0,1,1)₁₂ model predicted that the incidence of HFMD in 2025 would remain at the level of 2023-2024, and the dual-peak characteristic would continue. Conclusion From 2012 to 2024, the overall HFMD epidemic in Shanxi Province generally shows a significant downward trend. The high-risk population includes scattered children and nursery children under 5 years old, with high-incidence areas concentrated in the central and southern regions, requiring focused attention. The seasonal ARIMA model can effectively fit the evolutionary trend of HFMD incidence in Shanxi Province and possesses short-term predictive capability.

Objective To analyze the case data of farmers' foodborne disease surveillance reports in Guizhou Province from 2022 to 2024, and to provide reference for the precise prevention and control of foodborne diseases among farmers in Guizhou Province. Methods Case data of foodborne disease surveillance reports of farmers were systematically collected from 2022 to 2024 in Guizhou Province. Descriptive epidemiological methods were used to analyze the temporal, geographical, and demographic distribution of foodborne diseases among farmers, along with their primary clinical symptoms and pathogen detection results. Results From 2022 to 2024, a total of 22,882 cases of foodborne diseases were reported among farmers in Guizhou Province. The majority of clinical symptoms (97.81%) were related to the digestive system, with summer being the peak season. While females outnumbered males, the gender difference was statistically insignificant (P >0.05). The 36-55 age group accounted for the highest proportion (38.83%), with Zunyi City (34.89%) and Qiandongnan Prefecture (23.21%) reporting the most cases. Fungal products were the most frequently reported suspected food items (26.96%), and home-made preparation was the primary processing method (58.63%). A total of 1 210 fecal samples were collected through active monitoring with an overall detection rate of 13.22%. Norovirus showed the highest detection rate (9.92%, 120/1 210). Statistically significant differences were observed among different seasons, age groups, regions, types and processing methods of suspected food exposure, and pathogen detection rates (P <0.001). Conclusion Foodborne disease prevention and control among farmers in Guizhou Province should focus on the risks of wild mushroom poisoning in summer and homemade foods, and continuously improve farmers' awareness of the dangers of foodborne diseases and food safety.

Objective To compare the performance of seasonal difference autoregressive moving average exogenous variable model (SARIMAX), backpropagation neural network (BPNN), long short-term memory network (LSTM), and various combination models in fitting and predicting the incidence of hand, foot, and mouth disease (HFMD), and to provide a reference for optimizing HFMD prediction and prevention and control decisions. Methods Taking the monthly HFMD incidence data in Changsha from 2010 to 2024 as the training set, and the monthly HFMD incidence data from January to August 2025 as the validation set, the single models, SARIMAX-BPNN, SARIMAX-LSTM and weight combination models were constructed respectively. The R², mean absolute percentage error (MAPE), mean absolute error (MAE), and root mean square error (RMSE) were used to evaluate the model fitting and prediction performance. Results Based solely on MAPE, the LSTM model showed the best fitting and prediction performance. A comprehensive analysis of multiple indicators including R², MAPE, MAE, and RMSE indicated that the combination models had superior prediction performance. Compared with the LSTM, RMSE predicted by equal weight combination, different weight combination and SARIMAX-BPNN decreased by 40.97%, 37.50%, and 25.00%, respectively, while MAPE increased by 124.84%, 96.90%, and 89.69%, respectively. The fitting effect was as follows: LSTM > unequal weight combination > equal weight combination > SARIMAX-LSTM > SARIMAX-BPNN > BPNN > SARIMAX. The prediction performance was as follows: SARIMAX-BPNN > unequal weight combination > equal weight combination > LSTM > SARIMAX-LSTM > BPNN > SARIMAX. Conclusion SARIMAX-BPNN combination or weighted combination of multiple different models are two more robust combination strategies for predicting the incidence trend of hand, foot and mouth disease in Changsha.

Objective To investigate the exposure-response relationships and lag effects between air pollutants (PM_2.5, PM₁₀, O₃, and NO₂) and mortality in Jiading District, Shanghai, and to provide a scientific basis for the formulation of environmental health policies. Methods Using an individual-level time-stratified case-crossover design, conditional logistic regression models in conjunction with a distributed lag nonlinear model (DLNM) were employed to analyze the exposure-response relationship and temporal lag patterns of ambient air pollution on resident mortality in Jiading District (1994–2024). Results A total of 59 048 death cases were collected, including 18,701 deaths from cardiovascular diseases and 11 731 deaths from respiratory diseases. PM_2.5 and NO₂ had a significant impact on all-cause mortality, cardiovascular disease mortality, and respiratory disease mortality, with the most significant effects observed within a lag of 0–3 days. PM₁₀ also had some impact on these three types of mortality, but its effect was generally weaker than that of PM_2.5 and NO₂. The exposure-response curves showed that the risk of death increased rapidly with increasing concentrations of PM_2.5 and PM₁₀, while the effect of NO₂ plateaued at higher levels. No significant differences were found across age or gender subgroups. Conclusion Short-term exposure to PM_2.5, PM₁₀, and NO₂ significantly increases all-cause mortality risk in Jiading District, with effects persisting up to 7 days, highlighting the need for enhanced air pollution control measures, particularly targeting fine particulate matter.

Objective To analyze the genetic characteristics and variations of influenza A (H3N2) viruses in Ma'anshan from 2022 to 2024, and to provide a scientific basis for local influenza prevention and control. Methods From April 2022 to March 2024, influenza-like illness (ILI) specimens were collected from three national influenza surveillance sentinel hospitals in Ma’anshan. Samples positive for influenza by real-time PCR were subjected to virus culture and identification. A total of 40 representative A/H3N2 strains with hemagglutination titers ≥8 were selected for whole-genome sequencing. Genetic evolution, homology, amino acid variations, and glycosylation sites were analyzed. Results All H3N2 representative strains from the 2022–2023 influenza season belonged to clade 3C.2a1b.2a.1a.1, while those from the 2023–2024 season fell into clade 3C.2a1b.2a.2a.3a.1. The nucleotide and amino acid sequence similarities of HA and NA between the 40 representative strains and the vaccine strain A/Darwin/6/2021 were all above 97.35%. Compared with the vaccine strain, amino acid mutations were identified in antigenic sites A, B, C, and E, as well as in receptor-binding sites of the HA protein. An I222V substitution was detected in the NA protein. The HA protein contained four additional glycosylation sites compared to the vaccine strain, while the glycosylation pattern of the NA protein remained consistent. Conclusion No antigenic drift was observed in the influenza A/H3N2 viruses in Ma'anshan City from 2022 to 2024, but genetic changes such as branching variations, key amino acid substitutions, and an increase in HA glycosylation sites were observed. These findings underscore the importance of sustained molecular surveillance of local influenza viruses.

Objective To investigate the cluster spectrum and functional-associated mutation characteristics of the neuraminidase (NA) gene of A (H3N2) viruses in Tangshan, Hebei Province from 2010 to 2024. Methods A total of 30 influenza A (H3N2) virus strains in Tangshan from 2010 to 2024 were selected, which was based on the seasonal distribution of influenza sample collection. Phylogenetic tree of NA gene was constructed, and BioEdit was used for alignments of amino acid sequences to identify variations on functional-associated sites. Homologous models for B.4.3 subgroup and A/Darwin/9/2021 were constructed to analyze the conformational variation at mutation sites. Results From 2010-2024, influenza A (H3N2) virus strains in Tangshan, Hebei were divided into eight branches: A, A.2, A.2.1, A.2.2, B, B.1.1, B.4, and B.4.3. The strains in subgroups B, B.4 and B.4.3 appeared from 2023 to 2024. The NA protein antigen epitopes, resistance sites, and potential glycosylation sites all had amino acid mutations. The homologous model analysis of NA functional-associated regions of B.4.3 subgroup and A/Darwin/9/2021 revealed spatial conformation changes in amino acid 83, 150 and 331, which could influence the functional performance of associated sites. Conclusion The NA gene of influenza A (H3N2) viruses in Tangshan continues to mutate at functional sites. Mutational analysis and structural modeling indicate potential antigenic drift and drug-resistant mutations. In the future, attention should be paid to the variation trend of epidemic strains under branch B.4.3.

Objective To investigate the incidence and epidemiological characteristics of herpes zoster in Jinshan District, Shanghai, in 2024, and to provide a scientific basis for the development of prevention and control measures. Methods The visit information of herpes zoster cases in 2024 was collected through the outpatient diagnosis and treatment system of medical institutions in Jinshan District. Descriptive epidemiological methods were used for statistical analysis. Results In 2024, there were a total of 7 270 cases of herpes zoster in Jinshan District, including 3 398 male cases and 3 872 female cases. The incidence rate among females was higher than that among males (χ² =125.25, P< 0.001). Cases occurred in all age groups, with an average age of 59.58 ± 15.28 years. The highest proportion of cases was in the 50-year-old group (21.99%) and the 60-year-old group (25.45%). The incidence rate increased with age (χ² = 4 505.99, P< 0.001). The main departments for consultation were dermatology, pain clinics, and neurology. The main clinical diagnoses were herpes zoster without complications, postherpetic neuralgia, and incomplete herpes zoster. Among the cases, 3,102 patients had follow-up visits, and the number of follow-up visits increased with age. From 2020 to 2024, a total of 2,032 doses of herpes zoster vaccine were administered in the district, with the highest vaccination rate in the 50-year-old group (54.48%). Conclusion The majority of herpes zoster cases in Jinshan District are concentrated in the 50- and 60-year-old groups. The main complication is postherpetic neuralgia. The incidence rate and number of follow-up visits increase with age. The vaccination rate of herpes zoster vaccine in the entire district is relatively low. It is recommended to enhance monitoring and analysis, carry out health education for key populations (aged 50 years old and above), and promote vaccination and other preventive and control measures.

Objective To analyze the varicella vaccination rate in the 2012-2023 birth cohort in Changsha. Methods The varicella vaccination information of all children born in Changsha from 2012 to 2023 was collected through the Hunan Provincial Immunization Planning Information System. The varicella epidemic information from 2012 to 2023 was collected through the China Information System for Disease Control and Prevention. The varicella vaccination rate and its characteristics of children in the birth cohort were descriptively analyzed. Results The first dose vaccination rate of varicella vaccine for children born from 2012 to 2023 was 64.82 %, and the full vaccination rate was 40.87 %. The full vaccination rate of the birth cohort in each year ranged from 18.11 % (2020 birth cohort) -73.07 % (2017 birth cohort), showing an overall increasing trend year by year. Conclusion The varicella vaccination rate has increased among children born between 2012 and 2023 in Changsha, but overall coverage is low. It is necessary to strengthen the publicity of varicella vaccine knowledge and promote timely vaccination of school-age children.