Combined vaccines can simplify the vaccination process, improve coverage rates, reduce the risk of adverse events following immunization, lower social costs, and improve the timeliness of childhood vaccination. This article focuses on multi-component vaccines based on the diphtheria-tetanus-pertussis containing vaccine. Globally, multiple combined vaccines have been developed and marketed, but the development of combined vaccine is still in its infancy stage in China, with limited vaccine types and doses available. The research, development, and application of combined vaccines still face numerous challenges in China, including technical challenges in research and development, as well as insufficient motivation for research and development. Additionally, the high cost of existing combined vaccines, coupled with low public awareness and weak vaccination intentions, significantly hinders their widespread application, China should continue to rigorously implement the Vaccine Administration Law of the People's Republic of China, promote innovative development of combined vaccines, increase public awareness, strengthen child guardians' confidence in vaccination, and improve the accessibility and affordability of combined vaccines to protect public health across all life stages.

The health and well-being of the elderly have become a focal point for all sectors of society. As an effective means of preventing and controlling infectious diseases, vaccination plays a critical role in safeguarding human health. For older adults, timely and scientifically guided vaccination can significantly reduce the risk of serious illnesses while alleviating the associated economic burdens and pressure imposed on society. However, in practice, deficiencies in policy support, accessibility of vaccination services, and public awareness hinder some elderly individuals from fully benefiting from the protective effects of vaccines. This paper analyzes current vaccination practices for the elderly globally and proposes strategies to improve vaccination coverage, providing a scientific basis for advancing effective vaccination initiatives for this demographic in China.

As an important setting for the administration of vaccinations, the reasonable setting up and standardized management of vaccination clinics will enhance immunization service quality, public satisfaction, and improve the vaccination rate to protect people′s health. In recent years, various provinces in China are continuously promoting the standardized construction and management of vaccination clinics. However, the level of standardization management remains unbalanced, and the capacity of vaccination services needs to be further improved. This paper reviews the standardized management process of vaccination clinics, summarizes the practice and achievements in various regions, and analyzes the challenges and issues during these processes, to provide reference for improving the standardized management level of vaccination clinics in the future.

Vaccination has become one of the key public health interventions for reducing child mortality. With the implementation of the expanded programme on immunization, the number of vaccine types children need to receive is increasing, necessitating further optimization of childhood immunization strategies. The World Health Organization recommends simultaneous vaccination as one of the core strategies for optimizing childhood immunization schedules. This article analyzes the current status, challenges, and prospects of simultaneous vaccination strategies for children in China, aiming to provide a scientific basis for promoting and implementing strategies for the simultaneous administration of multiple vaccines to children.

Combined vaccines can simplify the vaccination process, improve coverage rates, reduce the risk of adverse events following immunization, lower social costs, and improve the timeliness of childhood vaccination. This article focuses on multi-component vaccines based on the diphtheria-tetanus-pertussis containing vaccine. Globally, multiple combined vaccines have been developed and marketed, but the development of combined vaccine is still in its infancy stage in China, with limited vaccine types and doses available. The research, development, and application of combined vaccines still face numerous challenges in China, including technical challenges in research and development, as well as insufficient motivation for research and development. Additionally, the high cost of existing combined vaccines, coupled with low public awareness and weak vaccination intentions, significantly hinders their widespread application, China should continue to rigorously implement the Vaccine Administration Law of the People's Republic of China, promote innovative development of combined vaccines, increase public awareness, strengthen child guardians' confidence in vaccination, and improve the accessibility and affordability of combined vaccines to protect public health across all life stages.

The health and well-being of the elderly have become a focal point for all sectors of society. As an effective means of preventing and controlling infectious diseases, vaccination plays a critical role in safeguarding human health. For older adults, timely and scientifically guided vaccination can significantly reduce the risk of serious illnesses while alleviating the associated economic burdens and pressure imposed on society. However, in practice, deficiencies in policy support, accessibility of vaccination services, and public awareness hinder some elderly individuals from fully benefiting from the protective effects of vaccines. This paper analyzes current vaccination practices for the elderly globally and proposes strategies to improve vaccination coverage, providing a scientific basis for advancing effective vaccination initiatives for this demographic in China.

As an important setting for the administration of vaccinations, the reasonable setting up and standardized management of vaccination clinics will enhance immunization service quality, public satisfaction, and improve the vaccination rate to protect people′s health. In recent years, various provinces in China are continuously promoting the standardized construction and management of vaccination clinics. However, the level of standardization management remains unbalanced, and the capacity of vaccination services needs to be further improved. This paper reviews the standardized management process of vaccination clinics, summarizes the practice and achievements in various regions, and analyzes the challenges and issues during these processes, to provide reference for improving the standardized management level of vaccination clinics in the future.

Vaccination has become one of the key public health interventions for reducing child mortality. With the implementation of the expanded programme on immunization, the number of vaccine types children need to receive is increasing, necessitating further optimization of childhood immunization strategies. The World Health Organization recommends simultaneous vaccination as one of the core strategies for optimizing childhood immunization schedules. This article analyzes the current status, challenges, and prospects of simultaneous vaccination strategies for children in China, aiming to provide a scientific basis for promoting and implementing strategies for the simultaneous administration of multiple vaccines to children.

Objective To construct a 3D ResNet deep learning model based on multi-parametric prostate MRI(mpMRI),and to observe its value for automatically identifying the main MR sequences.Methods Totally 1 153 sets pre-biopsy prostate mpMRI data of 1 086 patients who underwent ultrasound-guided prostate biopsy in 3 hospitals were collected and divided into different image datasets,i.e.T2WI,diffusion-weighted imaging(DWI)and apparent diffusion coefficient(ADC)maps with a total of 5 151 images.Then the images were categorized into non-fat-suppressed T2WI(T2WI_nan,n=1 000),fat-suppressed T2WI(T2WI_fs,n=1 188),high b-value DWI(DWI_High,b-value≥500 s/mm2,n=1 045),low b-value DWI(DWI_Low,b-value＜500 s/mm2,n=1 012)or ADC map(n=906),also divided into training set(n=4 122),verification set(n=513)and test set(n=516)at the ratio of 8∶1∶1.After preprocessing and augmentation,a 3D ResNet model for automatically identifying image categories was trained and optimized in the training and verification sets,and its classification efficiency was evaluated in the test set.Results The identifying accuracy,sensitivity,specificity,positive predictive value,negative predictive value,F1 score and Kappa value of the obtained model for automatically identifying categories of images in the test set was 0.995-1.000,0.990-1.000,0.998-1.000,0.990-1.000,0.998-1.000,0.995-1.000 and 0.994-1.000,respectively.Conclusion The obtained 3D ResNet deep learning model could effectively and automatically identify the main sequences of prostate mpMRI.

Objective To develop a 3D V-Net deep learning segmentation model based on multi-center data,and to evaluate its value for automatic segmentation of prostate on T2WI and apparent diffusion coefficient(ADC)maps.Methods Totally 2 894 sets of multi-parametric MRI data of 2 673 patients with clinically suspected prostate cancer from 3 medical centers within 1 month before biopsy were retrospectively collected.Finally 5 974 sets axial images were enrolled,including 3 654 sets of T2WI and 2 320 sets of ADC maps.Prostate contours were manually annotated layer by layer on axial T2WI and ADC maps,and the left-to-right,anterior-to-posterior,superior-to-inferior diameters and volume of prostate were measured and taken as reference standards.The images were divided into training set(n=4 780,including 2 907 sets of T2WI and 1 873 sets of ADC map),verification set(n=601,including 384 sets of T2WI and 217 sets of ADC map)and test set(n=593,including 363 sets of T2WI and 230 sets of ADC map)at the ratio of 8:1:1.After preprocessing and augmentation,3D V-Net was used to construct and train the segmentation model based on training and verification sets,and the segmentation performance of the model was evaluated in test set using Dice similarity coefficient(DSC),Jaccard coefficient(JACARD)and volume similarity(VS),respectively.The parameters measured with the model were compared with the reference standards,and the correlations were explored.Results Compared with the corresponding ADC maps,DSC,JACARD and VS of the model for automatic segmentation of prostate on T2WI in test set were all higher(all P＜0.001).The left-to-right,anterior-to-posterior and superior-to-inferior diameters of prostate measured with the model on both T2WI and ADC maps were all larger than the reference standards(all P＜0.001),while no significant difference of the volume was found(both P＞0.05).All parameters measured with the model on T2WI and ADC maps were positively correlated with reference standards(rs=0.794-0.985).Conclusion 3D V-Net deep learning model could automatically segment prostate on T2WI and ADC maps with high accuracy,and its efficiency based on T2WI was better than that based on ADC maps.