Associations of Elements of Parental Social Integration with Migrant Children's Vaccination: An Epidemiological Analysis of National Survey Data in China.

Our study explored the effects of parental social integration on migrant children's vaccination status in China. Using data obtained from the 2014 China Migrants Dynamic Survey, a total of 4915 participants were included in this study. Social integration was measured by economic, social, cultural, and internal identity. Univariate chi-square testing was used to calculate associations between all variables and migrant children's vaccination status. Binary logistic regression was employed to calculate the impacts of social integration on migrant children's vaccination status. In total, 94.7% of migrant children had complete vaccinations for their age. Migrants who had medical insurance, spoke the native language when communicating with locals, lived mainly with locals, and did not perceive discrimination were more likely to have their children completely vaccinated. Social integration was positively associated with migrant children's vaccination status. Our study indicated that to improve vaccination coverage of migrant children, more policy support for migrant employment and housing, promotion of health services for migrants, and language support in health institutions is needed

DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval

3D object retrieval has a compelling demand in the field of computer vision with the rapid development of 3D vision technology and increasing applications of 3D objects. 3D objects can be described in different ways such as voxel, point cloud, and multi-view. Among them, multi-view based approaches proposed in recent years show promising results. Most of them require a fixed predefined camera position setting which provides a complete and uniform sampling of views for objects in the training stage. However, this causes heavy over-fitting problems which make the models failed to generalize well in free camera setting applications, particularly when insufficient views are provided. Experiments show the performance drastically drops when the number of views reduces, hindering these methods from practical applications. In this paper, we investigate the over-fitting issue and remove the constraint of the camera setting. First, two basic feature augmentation strategies Dropout and Dropview are introduced to solve the over-fitting issue, and a more precise and more efficient method named DropMax is proposed after analyzing the drawback of the basic ones. Then, by reducing the over-fitting issue, a camera constraint-free multi-view convolutional neural network named DeepCCFV is constructed. Extensive experiments on both single-modal and cross-modal cases demonstrate the effectiveness of the proposed method in free camera settings comparing with existing state-of-theart 3D object retrieval methods

Catastrophic health expenditure among type 2 diabetes mellitus patients: A province‐wide study in Shandong, China

Abstract Aims/Introduction Diabetes mellitus often causes high economic burden on the patients and their households. The present study aimed to assess the incidence and intensity of catastrophic health expenditure (CHE) relating to type 2 diabetes mellitus care, and to explore its determinants in China. Materials and Methods A total of 1,948 type 2 diabetes patients were included in the analysis. CHE for type 2 diabetes mellitus was defined as out‐of‐pocket payments for diabetes care that were ≥40% of the non‐food expenditure of a household. The Chi‐square‐test was used to identify the factors associated with CHE. Multivariate logistic regression was used to assess the effects of explanatory analysis variables. Results The incidence of CHE for type 2 diabetes mellitus care was 13.8%. An association was observed between CHE incidence and household income level, and the poorest group was more likely to experience CHE as a result of diabetes mellitus care. The type 2 diabetes mellitus patients with complications were found to be more likely to experience CHE. Diabetes patients who experienced outpatient or inpatient services increased the likelihood of CHE, and those who experienced inpatient services were more likely to incur CHE. Conclusions Type 2 diabetes mellitus has a significantly catastrophic effect on patients and their households in China. Early screening for type 2 diabetes mellitus patients among the high‐risk groups and effective management of the detected cases should be priorities to reduce the overall healthcare expenditure for type 2 diabetes mellitus

Rural-urban disparity in category II vaccination among children under five years of age: evidence from a survey in Shandong, China

Abstract Background Compared with the Expanded Program on Immunization (EPI) vaccines, the coverage rate of the non-EPI vaccines is still low. The aim of this study is to explore the rural-urban disparity in category II vaccine and its determinants among children under 5 years old in China. Methods A cross-sectional study was conducted in 17 cities in Shandong province from August to October, 2013. A total of 1638 children were included in the analysis. Unadjusted and adjusted regression model were used to identify the rural-urban difference in vaccination of category II vaccine. Multivariate logistic regression models were employed to analyze the determinants associated with vaccination of category II vaccine in rural and urban areas respectively. Results The coverage rates of category II vaccine in rural and urban children were 81.5 and 69.4% respectively. Factors including age and satisfaction with vaccination services were associated with category II vaccination both in rural and urban children (Ρ < 0.05). It was also found that the households with four or less members are more likely to vaccinate category II vaccine in rural children. Conclusions There was a big difference between rural and urban children in the use of category II vaccine. The government should strengthen financial support and regulation for the category II vaccine. The identified at-risk factors, including age, satisfaction with the vaccination services, and family size should be taken into account when designing targeted vaccination policies for rural and urban children