Understanding clinical characteristics influencing adverse outcomes of Omicron infection: a retrospective study with propensity score matching from a Fangcang hospital.

Objectives: The epidemic of coronavirus disease 2019 (COVID-19) is causing global health concerns. The aim of this study was to evaluate influence of clinical characteristics on outcomes during the Omicron outbreak. Methods: A total of 25182 hospitalized patients were enrolled, including 39 severe patients and 25143 non-severe patients. Propensity score matching (PSM) was applied to balance the baseline characteristics. Logistic regression analysis was used to assess the risk of severe disease, as well as the risk of prolonged viral shedding time (VST) and increased length of hospital stay (LOS). Results: Before PSM, patients in the severe group were older, had higher symptom scores, and had a higher proportion of comorbidities (p<0.001). After PSM, there were no significant differences in age, gender, symptom score and comorbidities between severe (n=39) and non-severe (n=156) patients. Symptoms of fever (OR=6.358, 95%CI 1.748-23.119, p=0.005) and diarrhea (OR=6.523, 95%CI 1.061-40.110, p=0.043) were independent risk factors for development of severe disease. In non-severe patients, higher symptom score was associated with prolonged VST (OR=1.056, 95% CI 1.000-1.115, p=0.049) and LOS (OR=1.128, 95% CI 1.039-1.225, p=0.004); older age was associated with longer LOS (OR=1.045, 95% CI 1.007-1.084, p=0.020). Conclusion: The overall condition of the Shanghai Omicron epidemic was relatively mild. Potential risk factors for fever, diarrhea, and higher symptom score can help clinicians to predict clinical outcomes in COVID-19 patients.

Autoantibodies against type I interferons in COVID-19 infection: A systematic review and meta-analysis.

OBJECTIVES: In this study, we aimed to study the rate of autoantibodies against type I interferons (IFNs) in patients with COVID-19 and analyze its dependence on severity of infection and some other variables. METHODS: A systemic review with the search terms: "COVID-19" or "SARS-CoV-2" and "autoantibodies" or "autoantibody" and "IFN" or "interferon" for the period 20 December 2019 to 15 August 2022 was carried out using PubMed, Embase, Cochrane, and Web of Science. R 4.2.1 software was used for meta-analysis of the published results. Pooled risk ratios and 95% confidence intervals (CIs) were calculated. RESULTS: We identified eight studies involving 7729 patients, of whom 5097 (66%) had severe COVID-19 and 2632 (34%) had mild or moderate symptoms. The positive rate of anti-type-I-IFN-autoantibodies in the total dataset was 5% (95% CI, 3-8%), but reached 10% (95% CI, 7-14%) in those with severe infection. The most common subtypes were anti-IFN-α (89%) and anti-IFN-ω (77%). The overall prevalence in male patients was 5% (95% CI, 4-6%), and in female patients 2% (95% CI, 1-3%). CONCLUSION: Severe COVID-19 is associated with high rates of autoantibodies against type-I-IFN and more so in male than female patients.

Older people's views on loneliness during COVID-19 lockdowns.

BACKGROUND AND OBJECTIVES: There have been growing concerns that social distancing and stay-at-home mandates have exacerbated loneliness for older people. Empirical evidence about older people's experiences of loneliness and COVID-19 have quantified this phenomena without considering how older people themselves define and understand loneliness. This paper explores how older New Zealanders conceptualized and experienced loneliness under 'lockdown' stay-at-home measures. METHODS: This multi-methods qualitative study combines data from letters (n = 870) and interviews (n = 44) collected from 914 people aged over 60 and living in Aotearoa, New Zealand during the COVID-19 pandemic. We conducted a reflexive thematic analysis to conceptualise this data. FINDINGS: We identify three interconnected ways in which older people conceptualised and experienced loneliness: (1) feeling disconnected relating to lack of emotional closeness to another often resulting from being physically separated from others and not being able to touch; (2) feeling imprisoned relating to separation from preferred identities and activities and was frequently associated with boredom and frustration; and (3) feeling neglected which often related to feeling let down by generalised and idealised forms of support, such as one's neighbourhood and health care system. DISCUSSION: Older New Zealanders experienced lockdown loneliness in three interconnected ways rather than as a stable and homogenous experience. Maori, Pacific, Asian and New Zealand European older people often discussed loneliness in different ways; attesting to loneliness being a culturally-mediated concept shaped by expectations around desirable social interaction. We conclude the paper with implications for research and policy.

The relationships of preventive behaviors and psychological resilience with depression, anxiety, and stress among university students during the COVID-19 pandemic: A two-wave longitudinal study in Shandong Province, China.

Introduction: Studies have shown that the psychological impact of the COVID-19 pandemic may lead to long-term health problems; therefore, more attention should be paid to the mental health of university students. This study aimed to explore the longitudinal effects of preventive behaviors and psychological resilience on the mental health of Chinese college students during COVID-19. Methods: We recruited 2,948 university students from five universities in Shandong Province. We used a generalized estimating equation (GEE) model to estimate the impact of preventive behaviors and psychological resilience on mental health. Results: In the follow-up survey, the prevalence of anxiety (44.8% at T1 vs 41.2% at T2) and stress (23.0% at T1 vs 19.6% at T2) decreased over time, whereas the prevalence of depression (35.2% at T1 vs 36.9% at T2) increased significantly (P < 0.001). Senior students were more likely to report depression (OR = 1.710, P < 0.001), anxiety (OR = 0.815, P = 0.019), and stress (OR = 1.385, P = 0.011). Among all majors, medical students were most likely to report depression (OR = 1.373, P = 0.021), anxiety (OR = 1.310, P = 0.040), and stress (OR = 1.775, P < 0.001). Students who wore a mask outside were less likely to report depression (OR = 0.761, P = 0.027) and anxiety (OR = 0.686, P = 0.002) compared to those who did not wear masks. Students who complied with the standard hand-washing technique were less likely to report depression (OR = 0.628, P < 0.001), anxiety (OR = 0.701, P < 0.001), and stress (OR = 0.638, P < 0.001). Students who maintained a distance of one meter in queues were less likely to report depression (OR = 0.668, P < 0.001), anxiety (OR = 0.634, P < 0.001), and stress (OR = 0.638, P < 0.001). Psychological resilience was a protective factor against depression (OR = 0.973, P < 0.001), anxiety (OR = 0.980, P < 0.001), and stress (OR = 0.976, P < 0.001). Discussion: The prevalence of depression among university students increased at follow-up, while the prevalence of anxiety and stress decreased. Senior students and medical students are vulnerable groups. University students should continue to follow relevant preventive behaviors to protect their mental health. Improving psychological resilience may help maintain and promote university students' mental health.

Hospital COVID-19 preparedness: Are (were) we ready?

BACKGROUND: Terrorist attacks and natural disasters such as Hurricanes Katrina and Harvey have increased focus on disaster preparedness planning. Despite the attention on planning, many studies have found that hospitals in the United States are underprepared to manage extended disasters appropriately and the surge in patient volume it might bring. AIM: This study aims to profile and examine the availability of hospital capacity specifically related to COVID-19 patients, such as emergency department (ED) beds, intensive care unit (ICU) beds, temporary space setup, and ventilators. METHOD: A cross-sectional retrospective study design was used to examine secondary data from the 2020 American Hospital Association (AHA) Annual Survey. A series of multivariate logistic analyses were conducted to investigate the strength of association between changes in ED beds, ICU beds, staffed beds, and temporary spaces setup, and the 3,655 hospitals' characteristics. RESULTS: Our results highlight that the odds of a change in ED beds are 44 percent lower for government hospitals and 54 percent for for-profit hospitals than not-for-profit hospitals. The odds of ED bed change for nonteaching hospitals were 34 percent lower compared to teaching hospitals. Small and medium hospitals have significantly lower odds (75 and 51 percent, respectively) than large hospitals. For ICU bed change, staffed bed change, and temporary spaces setup, the conclusions were consistently significant regarding the impact of hospital ownership, teaching status, and hospital size. However, temporary spaces setup differs by hospital location. The odds of change is significantly lower (OR = 0.71) in urban hospitals compared with rural hospitals, while for ED beds, the odds of change is considerably higher (OR = 1.57) in urban hospitals compared to rural hospitals. CONCLUSION: There is a need for policymakers to consider not only resource limitations that were created from supply line disruptions during the COVID-19 pandemic but also a more global assessment of the adequacy of funding and support for insurance coverage, hospital finance, and how hospitals meet the needs of the populations they serve.

Older Chinese and Korean migrants' experiences of the first COVID‐19 lockdown in Aotearoa New Zealand: A qualitative study

Later‐life migrants, as older people living away from their home nations, occupy multiply‐precarious positions in relation to national COVID‐19 pandemic responses. Concern has particularly centred on this group's increased risk of social and linguistic exclusion. We explore the perspectives of later‐life older Chinese and Koreans living in New Zealand during the nation's COVID‐19 lockdown of 2020. This paper presents a sub‐analysis of culturally‐matched interviews conducted with 3 Korean and 5 Chinese later‐life migrants. These participants are a sub‐sample of a larger qualitative interview study comprising 44 interviews. A social capital approach has been used to aid conceptualisation of participants' experiences and a reflexive thematic approach guided analysis. Despite their underrepresentation in national response efforts, Chinese and Korean later‐life migrants resourcefully participated in ethnically‐specific pandemic initiatives. Three themes identified were: (1) taking it seriously (2) already digitally literate (3) challenges and difficulties. Older Asian migrants engaged in a range of creative strategies to stay connected during COVID‐19 lockdowns which drew heavily on pre‐existing social capital. Future pandemic responses should seek to improve connectedness between the national government COVID‐19 response and older Korean and Chinese later‐life migrants.

Utility of Point-of-Care Lung Ultrasound for Clinical Classification of COVID-19.

In this study, the utility of point-of-care lung ultrasound for clinical classification of coronavirus disease (COVID-19) was prospectively assessed. Twenty-seven adult patients with COVID-19 underwent bedside lung ultrasonography (LUS) examinations three times each within the first 2 wk of admission to the isolation ward. We divided the 81 exams into three groups (moderate, severe and critically ill). Lung scores were calculated as the sum of points. A rank sum test and bivariate correlation analysis were carried out to determine the correlation between LUS on admission and clinical classification of COVID-19. There were dramatic differences in LUS (p < 0.001) among the three groups, and LUS scores (r = 0.754) correlated positively with clinical severity (p < 0.01). In addition, moderate, severe and critically ill patients were more likely to have low (≤9), medium (9-15) and high scores (≥15), respectively. This study provides stratification criteria of LUS scores to assist in quantitatively evaluating COVID-19 patients.

Emergency department visits by adults with chronic conditions associated with severe COVID-19 illness: United States, 2017-2019

Objective: This report describes emergency department (ED) visits made by adults with selected chronic conditions associated with severe COVID-19 illness. Methods-Estimates in this report are based on data collected in the 2017-2019 National Hospital Ambulatory Medical Care Survey. Sample data were weighted to produce annual national estimates. Patient characteristics, including age, sex, expected source of payment, medication prescriptions, and hospital admission status, are presented by number of chronic conditions. Selected chronic conditions associated with severe COVID-19 illness include Alzheimer disease or dementia, asthma, cancer, cerebrovascular disease, chronic kidney disease, chronic obstructive pulmonary disease, depression, diabetes, heart disease, HIV, hypertension, obesity, pulmonary embolism, and substance use disorders. Results-For 2017-2019, 59.5% of ED visits made by adults were among those with one or more chronic conditions. The percentage of ED visits made by adults with three or more chronic conditions was highest among those aged 45-64. Medicare was the most frequently observed expected source of payment among adults with three or more chronic conditions. The percentage of ED visits that resulted in a hospital admission increased with the number of chronic conditions. Overall, hypertension was the most frequently observed chronic condition (33.8% of ED visits by adults) and hypertension and diabetes was the most frequently observed dyad, or pair (33.2% of ED visits by adults with at least two chronic conditions). Conclusion-Patients with at least one chronic condition made up 59.5% of adult ED visits. These data provide national estimates of ED visits by the number and type of chronic conditions in the adult population pre-COVID-19. Given that the presence of chronic conditions increases the risk of hospital admission among patients with COVID-19, these data may represent a useful baseline to quantify prevalence and association of chronic conditions associated with COVID-19 with hospitalization experience and outcomes.

Assessment of integrated patterns of human-animal-environment health: a holistic and stratified analysis.

BACKGROUND: Data-driven research is a very important component of One Health. As the core part of the global One Health index (GOHI), the global One Health Intrinsic Drivers index (IDI) is a framework for evaluating the baseline conditions of human-animal-environment health. This study aims to assess the global performance in terms of GOH-IDI, compare it across different World Bank regions, and analyze the relationships between GOH-IDI and national economic levels. METHODS: The raw data among 146 countries were collected from authoritative databases and official reports in November 2021. Descriptive statistical analysis, data visualization and manipulation, Shapiro normality test and ridge maps were used to evaluate and identify the spatial and classificatory distribution of GOH-IDI. This paper uses the World Bank regional classification and the World Bank income groups to analyse the relationship between GOH-IDI and regional economic levels, and completes the case studies of representative countries. RESULTS: The performance of One Health Intrinsic Driver in 146 countries was evaluated. The mean (standard deviation, SD) score of GOH-IDI is 54.05 (4.95). The values (mean SD) of different regions are North America (60.44, 2.36), Europe and Central Asia (57.73, 3.29), Middle East and North Africa (57.02, 2.56), East Asia and Pacific (53.87, 5.22), Latin America and the Caribbean (53.75, 2.20), South Asia (52.45, 2.61) and sub-Saharan Africa (48.27, 2.48). Gross national income per capita was moderately correlated with GOH-IDI (R2 = 0.651, Deviance explained = 66.6%, P < 0.005). Low income countries have the best performance in some secondary indicators, including Non-communicable Diseases and Mental Health and Health risks. Five indicators are not statistically different at each economic level, including Animal Epidemic Disease, Animal Biodiversity, Air Quality and Climate Change, Land Resources and Environmental Biodiversity. CONCLUSIONS: The GOH-IDI is a crucial tool to evaluate the situation of One Health. There are inter-regional differences in GOH-IDI significantly at the worldwide level. The best performing region for GOH-IDI was North America and the worst was sub-Saharan Africa. There is a positive correlation between the GOH-IDI and country economic status, with high-income countries performing well in most indicators. GOH-IDI facilitates researchers' understanding of the multidimensional situation in each country and invests more attention in scientific questions that need to be addressed urgently.

Radix Isatidis polysaccharide (RIP) resists the infection of QX-type infectious bronchitis virus via the MDA5/TLR3/IRF7 signaling pathway.

Although vaccines play a major role in the prevention of infectious bronchitis (IB), Anti-IB drugs still have great potential in poultry production. Radix Isatidis polysaccharide (RIP) is a crude extract of Banlangen with antioxidant, antibacterial, antiviral, and multiple immunomodulatory functions. The aim of this study was to explore the innate immune mechanisms responsible for RIP-mediated alleviation of infectious bronchitis virus (IBV)-induced kidney lesions in chickens. Specific-pathogen-free (SPF) chicken and chicken embryo kidney (CEK) cells cultures were pretreated with RIP and then infected with the QX-type IBV strain, Sczy3. Morbidity, mortality, and tissue mean lesion scores were calculated for IBV-infected chickens, and the viral loads, inflammatory factor gene mRNA expression levels, and innate immune pathway gene mRNA expression levels in infected chickens and CEK cell cultures were determined. The results show that RIP could alleviate IBV-induced kidney damage, decrease CEK cells susceptibility to IBV infection, and reduce viral loads. Additionally, RIP reduced the mRNA expression levels of the inflammatory factors IL-6, IL-8, and IL-1ß by decreasing the mRNA expression level of NF-κB. Conversely, the expression levels of MDA5, TLR3, STING, Myd88, IRF7, and IFN-ß were increased, indicating that RIP conferred resistance to QX-type IBV infection via the MDA5, TLR3, IRF7 signaling pathway. These results provide a reference for both further research into the antiviral mechanisms of RIP and the development of preventative and therapeutic drugs for IB.

How Agricultural Farmers Respond to Risks during the COVID-19 Pandemic: An Exploration through the Dual Social Capitals Approach

The degree of risk to which agricultural farmers are exposed during the COVID-19 pandemic and how they tackle those difficulties is a critical topic. Although the topic has been paid considerable attention by worldwide scholars, this study intends to compensate for it via conducting a ground-breaking analysis based on sample survey data. Integrating theoretical perspectives of individual- and collective-level social capitals rooted in sociology, and using NPRM (Nested Poisson Regression Model) to analyze a sample survey data collected in rural China in August 2020, we generated the following findings. (1) The overall risks and damages to agricultural production and management are relatively minimal. Thus, farmers are highly confident in conquering the pandemic and recovering their business. (2) Compared with micro- and macro-level influencing factors, social capital at both levels could greatly help agricultural farmers obtain informal and formal supporting resources (such as encouragement and financial supports), thus helping them to cope with the pandemic shock. (3) Specifically, the acquisition of informal supporting resources is mainly affected by the size of farmers' ordinary networks (Spring Festival Visiting Network) and the frequency of public activities held in a village;gaining access to formal supporting resources is also influenced by the frequency of public activities, but the state of farmers' personal connections with official departments plays a crucial role in determining the amount of such resources can be obtained. According to these empirical findings, suggestions on how to suppress the negative effects and lift the positive effects of dual social capitals in the process of responding to risks are proposed.

Efficacy and Safety of Mesenchymal Stromal cells Therapy for COVID-19 Infection: A Systematic Review and Meta-analysis.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is an infectious respiratory disease prevalent worldwide with a high mortality rate, and there is currently no specific medicine to treat patients. OBJECTIVE: We aimed to assess the safety and efficacy of stem cell therapy for COVID-19 by providing references for subsequent clinical treatments and trials. METHOD: We systematically searched PubMed, Embase, Cochrane, and Web of Science, using the following keywords: "stem cell" or "stromal cell" and "COVID-19." Controlled clinical trials published in English until 24th August 2021 were included. We followed the PRISMA guidelines and used Cochrane Collaboration's tool for assessing the risk of bias. We analysed the data using a fixed-effect model. RESULTS: We identified 1779 studies, out of which eight were eligible and included in this study. Eight relevant studies consisted of 156 patients treated with stem cells and 144 controls (300 individuals in total). There were no SAEs associated with stem cell therapy in all six studies, and no significant differences in AEs (p = 0.09, I2 = 40%, OR = 0.53, 95% CI: 0.26 to 1.09) between the experimental group and control group were observed. Moreover, the meta-analysis found that stem cell therapy effectively reduced the high mortality rate of COVID-19 (14/156 vs. 43/144; p<0.0001, I2 =0%, OR=0.18, 95% CI: 0.08 to 0.41). CONCLUSION: This study suggests that MSCs therapy for COVID-19 has shown some promising results in safety and efficacy. It effectively reduces the high mortality rate of COVID-19 and does not increase the incidence of adverse events. .

A Nomogram for Predicting Prognosis of Advanced Schistosomiasis japonica in Dongzhi County-A Case Study.

BACKGROUNDS: Advanced schistosomiasis is the late stage of schistosomiasis, seriously jeopardizing the quality of life or lifetime of infected people. This study aimed to develop a nomogram for predicting mortality of patients with advanced schistosomiasis japonica, taking Dongzhi County of China as a case study. METHOD: Data of patients with advanced schistosomiasis japonica were collected from Dongzhi Schistosomiasis Hospital from January 2019 to July 2022. Data of patients were randomly divided into a training set and validation set with a ratio of 7:3. Candidate variables, including survival outcomes, demographics, clinical features, laboratory examinations, and ultrasound examinations, were analyzed and selected by LASSO logistic regression for the nomogram. The performance of the nomogram was assessed by concordance index (C-index), sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). The calibration of the nomogram was evaluated by the calibration plots, while clinical benefit was evaluated by decision curve and clinical impact curve analysis. RESULTS: A total of 628 patients were included in the final analysis. Atrophy of the right liver, creatinine, ascites level III, N-terminal procollagen III peptide, and high-density lipoprotein were selected as parameters for the nomogram model. The C-index, sensitivity, specificity, PPV, and NPV of the nomogram were 0.97 (95% [CI]: [0.95-0.99]), 0.78 (95% [CI]: [0.64-0.87]), 0.97 (95% [CI]: [0.94-0.98]), 0.78 (95% [CI]: [0.64-0.87]), 0.97 (95% [CI]: [0.94-0.98]) in the training set; and 0.98 (95% [CI]: [0.94-0.99]), 0.86 (95% [CI]: [0.64-0.96]), 0.97 (95% [CI]: [0.93-0.99]), 0.79 (95% [CI]: [0.57-0.92]), 0.98 (95% [CI]: [0.94-0.99]) in the validation set, respectively. The calibration curves showed that the model fitted well between the prediction and actual observation in both the training set and validation set. The decision and the clinical impact curves showed that the nomogram had good clinical use for discriminating patients with high risk of death. CONCLUSIONS: A nomogram was developed to predict prognosis of advanced schistosomiasis. It could guide clinical staff or policy makers to formulate intervention strategies or efficiently allocate resources against advanced schistosomiasis.

Validation of the Chinese version of the COVID-19 Phobia Scale among Chinese college students.

Background and objective: Different languages and versions of the COVID-19 Phobia Scale (C19P-S) have been developed and tested in several countries. Chinese college students are a large vulnerable group and are susceptible to psychological problems during the COVID-19 pandemic. However, no studies had yet examined the reliability and validity of the C19P-S in China among college students group. This study aims to evaluate the COVID-19-related phobia of Chinese college students and examine the reliability and validity of this scale. Methods: A total of 1689 Chinese college students participated in this study from April 27 to May 7, 2022. They finished the online questionnaire including demographic information and C19P-S. Cronbach's alpha and split-half reliability were used to examine the internal consistency of the scale. Confirmatory factor analysis was further used to examine the scale's construct validity. Convergence validity was also confirmed. Results: This scale in Chinese had high reliability and validity. The Cronbach's alpha and split-half reliability of the total scale were 0.960 and 0.935, respectively. The construct validity-related indicators of the total scale met the standards (RMSEA = 0.064, IFI = 0.907, TLI = 0.906, and CFI = 0.907). Regarding the subscales, the composite reliability (CR) and average variance extracted (AVE) also met the cutoff values (CR > 0.7 and AVE >0.5). Comparison between gender groups showed that total and subscale scores between male and female students differed significantly. Conclusion: The Chinese version of the C19P-S was appropriate for evaluating phobic symptoms among Chinese college students. Therefore, this tool could be used to evaluate the mental health of college students in the future.

Mental Health of Working Adults during the COVID-19 Pandemic: Does Physical Activity Level Matter?

The purpose of this study is to investigate the associations between physical activity levels and the psychological outcomes of depression and anxiety. In 2022, Hong Kong was still exercising strict measures to control the spread of COVID-19. In this connection, major events and almost all large-scale sports events were suspended. Most recreational facilities were closed and repurposed as vaccination venues. As a result, a reduction in physical activity was expected. A cross-sectional survey was conducted among 109 working adults in Hong Kong. The International Physical Activity Questionnaire-Short Form was adopted as it continues to be the most widely used scale to measure physical activity. Almost a quarter of respondents exercised regularly. On average, respondents engaged in less than an hour's physical activity per week. Findings showed that even low to moderate levels of physical activity were positively associated with perceived self-esteem and perceived mental well-being. More specifically, self-esteem and perceived mental well-being were negatively associated with depression and anxiety. A full mediation effect between engagement in low levels of physical activity and anxiety was found. Light exercises may ultimately lead to lower anxiety via an indirect effect, with perceived mental well-being acting as a mediator. There was no direct relationship between low levels of physical activity and anxiety. In a similar vein, moderate levels of physical activity may lead to amelioration of symptoms related to depression and anxiety through indirect effects, with self-esteem as a mediator. Apart from engagement in low levels of physical activity, moderate levels of physical activity, such as swimming, jogging, and dancing, which have associations with self-esteem and mental health, could also be considered for attention.

MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation.

The rapid spread of the new pandemic, i.e., coronavirus disease 2019 (COVID-19), has severely threatened global health. Deep-learning-based computer-aided screening, e.g., COVID-19 infected area segmentation from computed tomography (CT) image, has attracted much attention by serving as an adjunct to increase the accuracy of COVID-19 screening and clinical diagnosis. Although lesion segmentation is a hot topic, traditional deep learning methods are usually data-hungry with millions of parameters, easy to overfit under limited available COVID-19 training data. On the other hand, fast training/testing and low computational cost are also necessary for quick deployment and development of COVID-19 screening systems, but traditional methods are usually computationally intensive. To address the above two problems, we propose MiniSeg, a lightweight model for efficient COVID-19 segmentation from CT images. Our efforts start with the design of an attentive hierarchical spatial pyramid (AHSP) module for lightweight, efficient, effective multiscale learning that is essential for image segmentation. Then, we build a two-path (TP) encoder for deep feature extraction, where one path uses AHSP modules for learning multiscale contextual features and the other is a shallow convolutional path for capturing fine details. The two paths interact with each other for learning effective representations. Based on the extracted features, a simple decoder is added for COVID-19 segmentation. For comparing MiniSeg to previous methods, we build a comprehensive COVID-19 segmentation benchmark. Extensive experiments demonstrate that the proposed MiniSeg achieves better accuracy because its only 83k parameters make it less prone to overfitting. Its high efficiency also makes it easy to deploy and develop. The code has been released at https://github.com/yun-liu/MiniSeg.

COVID-19 Deaths and the Impact of Health Disparities, Hospital Characteristics, Community, Social Distancing, and Health System Competition.

The United States has one of the highest cumulative mortalities of coronavirus disease 2019 (COVID-19) and has reached 1 million deaths as of May 19th, 2022. Understanding which community and hospital factors contributed to disparities in COVID-19 mortality is important to inform public health strategies. This study aimed to explore the potential relationship between hospital service area (1) community (ie, health professional shortage areas, market competition, and uninsured percentage) and (2) hospital (ie, teaching, system, and ownership status) characteristics (2013-2018) on publicly available COVD-19 (February to October 2020) mortality data. The study included 2514 health service areas and used multilevel mixed-effects linear model to account for the multilevel data structure. The outcome measure was the number of COVID-19 deaths. This study found that public health, as opposed to acute care provision, was associated with community health and, ultimately, COVID-19 mortality. The study found that population characteristics including more uninsured greater proportion of those over 65 years, more diverse populations, and larger populations were all associated with a higher rate of death. In addition, communities with fewer hospitals were associated with a lower rate of death. When considering region in the United States, the west region showed a higher rate of death than all other regions. The association between some community characteristics and higher COVID-19 deaths demonstrated that access to health care, either for COVID-19 infection or worse health from higher disease burden, is strongly associated with COVID-19 deaths. Thus, to be better prepared for potential future pandemics, a greater emphasis on public health infrastructure is needed.

The influence of resilience on stress reaction of college students during COVID-19: the mediating role of coping style and positive adaptive response.

The COVID-19 pandemic was a stressful event for all. It threatened people's physical and mental health. Previous studies have found that resilience can help people deal with stress and difficulties more effectively and prevent them from mental health problems. Coping style mediates the relationship between resilience and psychological well-being. Given the novelty and recency of the COVID-19, it is unknown whether resilience can also protect individuals in new difficulties, and whether the previous effective coping styles can be applied to new situations. The current study aimed to explore the influence mechanism of college students' resilience on negative stress response during the pandemic, and the chain mediation of coping style and positive adaptive response. A questionnaire survey was conducted among 910 college students (Mage = 20.58 years; 41.1% men, 58.9% women) studying in Shanghai by stratified random cluster sampling. At that time, they were in 27 different provinces and cities because of the COVID-19 pandemic lockdown. The research tools included Connor-Davidson Resilience Scale (CD-RISC), Simplified Coping Style Questionnaire (SCSQ), Positive Adaptive Response Questionnaire (PARQ), and Negative Stress Reaction Questionnaire (NSRQ). The results showed that: (1) College students' resilience, coping style, positive adaptive response and negative stress reaction were significantly correlated with each other; (2) Resilience could not directly affect negative stress reaction, but it could affect negative stress reaction through the chain mediation of coping style and positive adaptive response. These findings suggest that resilience enhancement intervention programs need to focus on the cultivation of individual positive coping style; In response to major emergencies such as the COVID-19 pandemic, officials can help people reduce negative stress reaction by disseminating positive coping strategies through the media.

[Features of unintentional injury in children under the impact of coronavirus disease 2019]. / æ–°åž‹å† çŠ¶ç— æ¯’è‚ºç‚Žç–«æƒ ä¸‹å„¿ç«¥æ„å¤–ä¼¤å®³çš„ç‰¹å¾.

OBJECTIVES: To study the features of unintentional injury in children under the impact of coronavirus disease 2019 (COVID-19). METHODS: A retrospective analysis was performed on the medical data of 2 526 children with unintentional injury in Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from July 2019 to June 2022. The study period was divided into 5 stages: before the epidemic (July to December, 2019), the Wuhan epidemic period (January to April, 2020), the epidemic remission period in China (May 2020 to February 2022), the Shanghai epidemic period (March to May, 2022), and the epidemic remission period in Shanghai (June 2022). The incidences of unintentional injury in children at different time stages and different ages were compared. A questionnaire survey was conducted on 107 children of the 2 526 children to explore the features of unintentional injury. RESULTS: There were significant differences in gender composition, age, age distribution and proportion of many types of unintentional injuries among the five time stages (P<0.05). There was a reduction in the number of children who attended the emergency department due to unintentional injury during the Wuhan epidemic and the Shanghai epidemic. The proportion of children with trauma-related unintentional injuries in each stage reached more than 50%, and the proportion of children with trauma-related unintentional injuries reached 63.9% and 82.0%, respectively during the Wuhan epidemic and the Shanghai epidemic. Most children suffering from unintentional injury were mainly school-aged and preschool children (1 823 children, 72.17%). Compared with the same period of Shanghai epidemic in 2021, the age of children with unintentional injury was younger (median 7 years vs 11 years), and the proportion of children with trauma-related unintentional injuries increased (97% vs 69%) during the Shanghai epidemic (P<0.05). CONCLUSIONS: Under the COVID-19 epidemic, there is a reduction in the number of children with unintentional injury, while there is an increase in the proportion of children with trauma-related unintentional injuries. Unintentional injury is more common among school-aged and preschool children.