Research concerning the impact of earthquake victims’ individual behavior and its association with earthquake-related injuries is lacking. This study examined this relationship along with effectiveness of earthquake rescue measures. The six most severely destroyed townships during the Lushan earthquake were examined; 28 villages and three earthquake victims’ settlement camp areas were selected as research areas. Inclusion criteria comprised living in Lushan county for a longtime, living in Lushan county during the 2013 Lushan earthquake, and having one’s home destroyed. Earthquake victims with an intellectual disability or communication problems were excluded. The earthquake victims (N (number) = 5165, male = 2396) completed a questionnaire (response rate: 94.7%). Among them, 209 were injured (5.61%). Teachers (p < 0.0001, OR (odds ratios) = 3.33) and medical staff (p = 0.001, OR = 4.35) were more vulnerable to the earthquake than were farmers. Individual behavior was directly related to injuries, such as the first reaction after earthquake and fear. There is an obvious connection between earthquake-related injury and individual behavior characteristics. It is strongly suggested that victims receive mental health support from medical practitioners and the government to minimize negative effects. The initial reaction after an earthquake also played a vital role in victims’ trauma; therefore, earthquake-related experience and education may prevent injuries. Self-aid and mutual help played key roles in emergency, medical rescue efforts.

How to allocate the existing medical resources reasonably, alleviate hospital congestion and improve the patient experience are problems faced by all hospitals. At present, the combination of artificial intelligence and the medical field is mainly in the field of disease diagnosis, but lacks successful application in medical management. We distinguish each area of the emergency department by the division of medical links. In the spatial dimension, in this study, the waitlist number in real-time is got by processing videos using image recognition via a convolutional neural network. The congestion rate based on psychology and architecture is defined for measuring crowdedness. In the time dimension, diagnosis time and time-consuming after diagnosis are calculated from visit records. Factors related to congestion are analyzed. A total of 4717 visit records from the emergency department and 1130 videos from five areas are collected in the study. Of these, the waiting list of the pediatric waiting area is the largest, including 10,436 (person-time) people, and its average congestion rate is 2.75, which is the highest in all areas. The utilization rate of pharmacy is low, with an average of only 3.8 people using it at the one time. Its average congestion rate is only 0.16, and there is obvious space waste. It has been found that the length of diagnosis time and the length of time after diagnosis are related to age, the number of diagnoses and disease type. The most common disease type comes from respiratory problems, accounting for 54.3%. This emergency department has congestion and waste of medical resources. People can use artificial intelligence to investigate the congestion in hospitals effectively. Using artificial intelligence methods and traditional statistics methods can lead to better research on healthcare resource allocation issues in hospitals.

Objective: This study aims to investigate the prevalence of smartphone addiction, physical activity levels, and depressive symptoms among secondary school students, and to analyze the combined impact of smartphone addiction and physical activity on depressive symptoms.Methods: A cluster sampling method was employed in two secondary schools in the Jing’an District of Shanghai, China. Univariate analysis was used to compare the prevalence of depressive symptoms across different demographic characteristics. Logistic regression was utilized to examine the associations between smartphone addiction, physical activity, and their combined effect on depressive symptoms.Results: A total of 1,316 respondents participated in the study, with reported prevalence rates of depressive symptoms (36.2%), smartphone addiction (19.2%), and insufficient physical activity (23.3%). Risk factors for depressive symptoms included being a non-only child (OR=1.421, 95% CI: 1.090-1.853, P=0.009), inadequate sleep duration (OR=2.722, 95% CI: 2.070-3.578, P<0.001) and smartphone addiction (OR=2.173, 95% CI: 1.621-2.913, P < 0.001). Adolescents with smartphone addiction were significantly more likely to report depressive symptoms compared to those without (OR=2.173, 95% CI: 1.621-2.913, P < 0.001). Joint analysis indicated that combined smartphone addiction and insufficient physical activity significantly increased the risk of depressive symptoms (OR=2.781, 95% CI: 1.627-4.753, P < 0.001).Conclusion: The study identified a high prevalence of severe smartphone addiction, insufficient physical activity, and elevated rates of depressive symptoms among secondary school students. Smartphone addiction and inadequate physical activity were associated with increased likelihood of depressive symptoms. Moreover, higher levels of physical activity appeared to mitigate the adverse impact of smartphone addiction on depressive symptoms.

Background: Despite the rapid development of China’s economy, a number of poor areas in China continue to exist. The health status of the elderly in the poor areas is a matter of concern. This study aims to explore the status of the elderly in terms of their health status, health service needs, and utilization among rural residents of a remote and poor village in a mountainous area in Jinzhai, Anhui. Furthermore, this study aims to explore the differences between the nation rural area average level and the remote and poor village in the mountainous area in terms of health status and health service utilization. Methods: Cluster sampling was used to obtain the sample. A total of 110 elderly people were selected from the village, and face-to-face interviews were conducted with questionnaires by trained investigators to collect data. Results: All items except vision, language disability, and self-care disability were found to be higher than the national average level. In terms of mental health, Zishu Village has a ratio of 44.1% for the symptoms of anxiety and depression, which is higher than the average for the national rural areas. The two-week prevalence rate, prevalence of chronic diseases, and non-hospitalization rate of those who need hospitalization (%) in Zishu Village was 62.7%, 88.2%, and 47.6% respectively, which was higher than the rural values of the National Survey (2008). Most of the outpatient visits were to the village clinics, while the hospitalizations were mainly to county hospitals. The two-week visiting rate was 24.1%, which was lower than 2008. The hospitalization rate in Zishu Village was 10.8%, which is similar to the level of 2008. Conclusions: The health level and the utilization of health services of the people in Zishu Village, Jinzhai, are generally lower than the national average. Financial difficulties continue to remain the major factor affecting the utilization of hospitalization services of this remote and poor village in Jinzhai, Anhui.

Background: The global COVID-19 pandemic has highlighted critical concerns surrounding mental health. Social isolation measures, such as the quarantine of incoming travelers, are essential public health strategies for the prevention and control of infectious diseases. However, quarantine can lead to adverse psychological outcomes, including feelings of confinement, boredom, perceived scarcity of supplies and information, financial hardship, and social stigma. This study aims to assess the mental states of quarantined individuals, investigate the factors affecting their mental well-being, and examine their coping mechanisms, with the objective of providing recommendations to enhance mental health in anticipation of future outbreaks, such as Disease X.Methods: We surveyed 327 individuals in quarantine from September 22, 2020 to January 9, 2021, collecting general demographic data and information related to COVID-19. Depression and anxiety were assessed using the PHQ-9 and GAD-7 scales, respectively, while stress coping was evaluated with a simplified version of the Cope scale. We analyzed the relationships between independent variables and mental health outcomes.Results: Among the individuals undergoing entry quarantine, 27.8% reported symptoms of depression, and 20.5% reported symptoms of anxiety. Students were more likely to experience depression compared to those with permanent jobs or no occupation. Significant risk factors for both depression and anxiety included pre-existing health conditions, lack of medical insurance, concerns about shortages of daily necessities during quarantine, and high scores for “guilt and self-blame.” Additionally, participants who worried about the impact of the epidemic on their studies or work, and those with high scores for “denial,” were more likely to exhibit depressive symptoms. On the other hand, participants who were concerned about potential rejection or discrimination from the outside world after quarantine were more prone to anxiety symptoms.Conclusion: Attention should be paid to the negative psychological reactions of the entry quarantined personnel, especially those with pre-existing health conditions, those without medical insurance, and students studying abroad. Accurate and effective epidemic dynamic information and preventive and control measures can be provided to the public to prevent fear and stigma against quarantined personnel.

In this study, we aimed to compare the quantity and quality of publications in health care sciences and services journals from the Chinese mainland, Taiwan, Japan, and India. Journals in this category of the Science Citation Index Expanded were included in the study. Scientific papers were retrieved from the Web of Science online database. Quality was measured according to impact factor, citation of articles, number of articles published in top 10 journals, and the 10 most popular journals by country (area). In the field of health care sciences and services, the annual incremental rates of scientific articles published from 2007 to 2014 were higher than rates of published scientific articles in all fields. Researchers from the Chinese mainland published the most original articles and reviews and had the highest accumulated impact factors, highest total article citations, and highest average citation. Publications from India had the highest average impact factor. In the field of health care sciences and services, China has made remarkable progress during the past eight years in the annual number and percentage of scientific publications. Yet, there is room for improvement in the quantity and quality of such articles.