ABSTRACT
This study examined the rates of depressive symptoms in active component U.S. service members prior to and during the COVID-19 pandemic and eval-uated whether SARS-CoV-2 test results (positive or negative) were associated with self-reported depressive symptoms. Depressive symptoms were mea-sured by the Patient Health Questionnaire-2 (PHQ-2) screening instrument and were defined as positive if the total score was 3 or greater. From 1 January 2019 through 31 July 2021, 2,313,825 PHQ-2s were completed with an increase in the positive rate from 4.0% to 6.5% (absolute % difference, +2.5%;relative % change, +67.1%) from the beginning to the end of the period. While there was a gradual increase of 19.8% in the months prior to the pandemic (1.4%/month average), this increase grew to 40.4% during the pandemic (2.5%/month average). However, no association was found between a positive or negative SARS-CoV-2 test result and the PHQ-2 screening instrument result. These findings suggest that the accelerated increase in depressive symptoms is likely a function of the environment of the COVID-19 pandemic instead of the SARS-CoV-2 infection itself. Further research to better understand specific factors of the pandemic leading to depressive symptoms will improve efficient allocation of military medical resources and safeguard military medical readiness. © 2022, Armed Forces Health Surveillance Center. All rights reserved.
ABSTRACT
The COVID-19 epidemic has extremely attracted our attentions and lots of maps and visualization charts were created to represent and disseminate the information about COVID-19 in time, which exactly became a key role for the public to acquire and understand the quantitative information and spatial-temporal information of COVID-19. The paper analyzed the dimension of data for COVID-19 and processing levels about them, then divided the COVID-19 visualization into three types, that is 1-order visualization, 2-order visualization and multi-order visualization for COVID-19, based on direct data or indirect data of COVID-19 with the corresponding visualization methods, characteristics and information transmission Shortcomings and weakness of visualization methods for COVID-19 were analyzed in details, from the aspects of multiple scale unit in spatial data statistics, max value dealing in data classification, also many key design points were described including color connotation in disease visualization, the influences of area / unit size in visualization, symbol overlapping, multiple-scale heat maps and labels in statistical tables. The paper indicated the visualization traps of COVID-19, such as misuse of visual effects and excessive visualization, and reasonable abilities of COVID-19 visualization including map-story narrative methods and visualization pertinence for specific problems should be considered sufficiently to provide the references for cartographers to design the maps and for readers to understand the maps. 2021, Science Press. All right reserved.
ABSTRACT
Purpose: The economic shock posed by the current COVID-19 outbreak brought out a worldwide public health emergency with a close relationship between the industrial marketing practices, the health level of society and its economic development. The purpose of this study is to analyse the industrial dynamics in health care and their impact on economic growth and health status. Design/methodology/approach: To empirically investigate the relationship between growth and health, the authors use a data set drawn from 29 selected Organisation for Economic Co-operation and Development (OECD) countries over the period 2000 and 2019. Using panel regressions, the authors investigate the impact of the health-care industry measured in terms of health status, health expenditure, sales on pharmaceutical products, the number of persons working in health care and the coverage by private health insurances. Fixed effect and random effect regressions are used to estimate this model. Findings: Overall, the results are suggestive of a nexus between the industrial marketing dynamics of health-care context and economic growth – both interacting and improving each other. As the quality of the health-care market enhances, the economy grows richer and the health status of the population improves considerably. Practical implications: To support health-care markets in OECD countries, health policymakers need to formulate a long-term industrial health policy that addresses all the social and individual determinants of health. Originality/value: To the best of the knowledge, this is the first study to provide a better understanding of the relationship between health-care industrial dynamics and economic growth in OECD countries along different dimensions. © 2021, Song Ying, Daniele Leone, Antonella Francesca Cicchiello and Amirreza Kazemikhasragh.
ABSTRACT
Objective: To explore the influence of crawling on children's abnormal behavior, it provides references for effectively alleviating children's psychological problems during "COVID-19". Method: Totally 128 preschoolers were randomly selected, they were divided into the control group (63) and the experimental group (65) who were given a 10-week exercise intervention. The control group completed the rhythmic exercise, the experimental group completed the crawling. Using the Child Behavior Checklist(CBCL), the abnormal behavior changes of children were evaluated pre-and post-experiment. Result: The scores of Internalized problems, Externalized problems and Total problems were as follows: Control group, the middle class was 0.90, 0.19 and 1.09 points lower than before intervention, and the top class was 1.41, 0.97 and 2.38 points lower than before intervention, the change was significant (P< 0.05). Experimental group, the middle class was 2.12, 0.91 and 3.03 points lower than before intervention, and the top class was 2.48, 2.43 and 4.91points lower than before intervention, the change was significant (P< 0.05). Moreover, the experiment group scores of multiple behavior indicators were significantly better than control group after intervention. Conclusion: Crawling and rhythmic exercises could have significant effect on preschool's abnormal behaviors. However, crawling have more profound influence on abnormal behaviors than rhythmic exercises in abundant movement elements and adjustable difficulty. Therefore, crawling can be regarded as the reference for preschool's physical activities at home during the "COVID-19" outbreak. © 2021, Editorial Board of Chinese Journal of Rehabilitation Medicine. All right reserved.
ABSTRACT
At the beginning of 2020, COVID-19 was wreaking havoc around the world, exposing a serious imbalance in the distribution of healthcare resources. In addition, the proportion of people with sub-health and chronic diseases is increasing, the population aging is serious, and the low utilization rate of public medical resources is also a topic of increasing attention in recent years. Most countries and regions have realized the importance of disease prevention. Smart medical system relies on artificial intelligence, Internet of Things, cloud computing, virtual reality and many other modern technologies. The development of 5G technology has laid a foundation for the rapid development of these technologies. As part of smart medicine based on 5G technology, smart health management emphasizes helping people build a healthy lifestyle before they get sick. This kind of health management is based on a variety of modern science and technology, the collection of user information, the establishment of information database, data mining and analysis, the establishment of the user’s personal health file, and for different users to provide thousands of health advice. © 2021, Springer Nature Switzerland AG.
ABSTRACT
We report a molecular-docking and virtual-screening-based identification and characterization of interactions of lead molecules with exoribonuclease (ExoN) enzyme in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). From previously identified DEDDh/DEEDh subfamily nuclease inhibitors, our results revealed strong binding of pontacyl violet 6R (PV6R) at the catalytic active site of ExoN. The binding was found to be stabilized via two hydrogen bonds and hydrophobic interactions. Molecular dynamics simulations further confirmed the stability of PV6R at the active site showing a shift in ligand to reach a more stabilized binding. Using PV6R as the lead molecule, we employed virtual screening to identify potential molecular candidates that form strong interactions at the ExoN active site. Our study paves ways for evaluating the ExoN as a novel drug target for antiviral treatment against SARS-CoV-2.