A qualitative co-design-based approach to identify sources of workplace-related distress and develop well-being strategies for cardiovascular nurses, allied health professionals, and physicians.

OBJECTIVE: Clinician distress is a multidimensional condition that includes burnout, decreased meaning in work, severe fatigue, poor work-life integration, reduced quality of life, and suicidal ideation. It has negative impacts on patients, providers, and healthcare systems. In this three-phase qualitative investigation, we identified workplace-related factors that drive clinician distress and co-designed actionable interventions with inter-professional cardiovascular clinicians to decrease their distress and improve well-being within a Canadian quaternary hospital network. METHODS: Between October 2021 and May 2022, we invited nurses, allied health professionals, and physicians to participate in a three-phase qualitative investigation. Phases 1 and 2 included individual interviews and focus groups to identify workplace-related factors contributing to distress. Phase 3 involved co-design workshops that engaged inter-professional clinicians to develop interventions addressing drivers of distress identified. Qualitative information was analyzed using descriptive thematic analysis. RESULTS: Fifty-one clinicians (24 nurses, 10 allied health professionals, and 17 physicians) participated. Insights from Phases 1 and 2 identified five key thematic drivers of distress: inadequate support within inter-professional teams, decreased joy in work, unsustainable workloads, limited opportunities for learning and professional growth, and a lack of transparent leadership communication. Phase 3 co-design workshops yielded four actionable interventions to mitigate clinician distress in the workplace: re-designing daily safety huddles, formalizing a nursing coaching and mentorship program, creating a value-added program e-newsletter, and implementing an employee experience platform. CONCLUSION: This study increases our understanding on workplace-related factors that contribute to clinician distress, as shared by inter-professional clinicians specializing in cardiovascular care. Healthcare organizations can develop effective interventions to mitigate clinician distress by actively engaging healthcare workers in identifying workplace drivers of distress and collaboratively designing tailored, practical interventions that directly address these challenges.

Crosstalk between bone and brain in Alzheimer's disease: Mechanisms, applications, and perspectives.

Alzheimer's disease (AD) is a neurodegenerative disease that involves multiple systems in the body. Numerous recent studies have revealed bidirectional crosstalk between the brain and bone, but the interaction between bone and brain in AD remains unclear. In this review, we summarize human studies of the association between bone and brain and provide an overview of their interactions and the underlying mechanisms in AD. We review the effects of AD on bone from the aspects of AD pathogenic proteins, AD risk genes, neurohormones, neuropeptides, neurotransmitters, brain-derived extracellular vesicles (EVs), and the autonomic nervous system. Correspondingly, we elucidate the underlying mechanisms of the involvement of bone in the pathogenesis of AD, including bone-derived hormones, bone marrow-derived cells, bone-derived EVs, and inflammation. On the basis of the crosstalk between bone and the brain, we propose potential strategies for the management of AD with the hope of offering novel perspectives on its prevention and treatment. HIGHLIGHTS: The pathogenesis of AD, along with its consequent changes in the brain, may involve disturbing bone homeostasis. Degenerative bone disorders may influence the progression of AD through a series of pathophysiological mechanisms. Therefore, relevant bone intervention strategies may be beneficial for the comprehensive management of AD.

Promising Molecular Architectures for Two-Photon Probes in the Diagnosis of α-Synuclein Aggregates.

The abnormal deposition of protein in the brain is the central factor in neurodegenerative disorders (NDs). These detrimental aggregates, stemming from the misfolding and subsequent irregular aggregation of α-synuclein protein, are primarily accountable for conditions such as Parkinson's disease, Alzheimer's disease, and dementia. Two-photon-excited (TPE) probes are a promising tool for the early-stage diagnosis of these pathologies as they provide accurate spatial resolution, minimal intrusion, and the ability for prolonged observation. To identify compounds with the potential to function as diagnostic probes using two-photon techniques, we explore three distinct categories of compounds: Hydroxyl azobenzene (AZO-OH); Dicyano-vinyl bithiophene (DCVBT); and Tetra-amino phthalocyanine (PcZnNH2). The molecules were structurally and optically characterized using a multi-technique approach via UV-vis absorption, Raman spectroscopy, three-dimensional fluorescence mapping (PLE), time-resolved photoluminescence (TRPL), and pump and probe measurements. Furthermore, quantum chemical and molecular docking calculations were performed to provide insights into the photophysical properties of the compounds as well as to assess their affinity with the α-synuclein protein. This innovative approach seeks to enhance the accuracy of in vivo probing, contributing to early Parkinson's disease (PD) detection and ultimately allowing for targeted intervention strategies.

[Clinical management of thrombocytopenia in cirrhosis].

Thrombocytopenia is one of the common complications of cirrhotic patients, which can induce an increasing bleeding risk and closely correlate with bleeding following invasive procedures. Consequently, how to respond to thrombocytopenia is crucial for improving the prognosis of patients with cirrhosis. This article reviews the main mechanisms of cirrhosis concurrent with thrombocytopenia, as well as the corresponding clinical management strategies.

Using the behaviour change wheel to examine facilitators and barriers to assertive contraception-use conversations for Indonesian women.

Contraception-use communication between sexual partners is important to reduce unwanted pregnancies and protect sexual and reproductive health. There is a dearth of research focused on developing countries where sexual and reproductive health conversations are often considered taboo. Using the Behaviour Change Wheel, this qualitative study examines the facilitators and barriers to having assertive contraception-use conversations with a male partner for Indonesian women and then identifies behaviour change techniques as potential intervention strategies. Semi-structured interviews were conducted with ten Indonesian women aged 18 to 29 years who had been sexually active and were currently in a committed dating relationship with a male partner. Using thematic analysis, 13 themes were identified. Facilitators of assertive contraception-use communication include knowledge about sexual and reproductive health and contraception, communication skills, closeness of the relationship with one's partner, other people's experiences of sex and contraception, and social media norms concerning the open discussion of sex and contraception. Fear of initiating the conversation about contraception was a barrier. Partner's attitude towards having contraception-use conversations and the taboos surrounding contraception in Indonesian culture acted as both facilitators and barriers. Suggested strategies to promote contraception-use communication include using social media to break the stigma surrounding sexual and reproductive health matters, normalising assertive conversations about contraceptive use with sexual partners, empowering women to be more assertive about their preferences for contraception, and teaching strategies to promote assertive contraception-use communication among young women and men in Indonesia.

Dual cognitive and mobility impairments and future dementia - Setting a research agenda.

Dual cognitive and mobility impairments are associated with an increased risk of dementia. Recent studies examining temporal trajectories of mobility and cognitive function in aging found that dual decline is associated with higher dementia risk than memory decline or gait decline only. Although initial data show that individuals with dual decline or impairment have excessive cardiovascular and metabolic risk factors, the causes of dual decline or what underlies dual decline with a high risk of dementia remain largely unknown. In December 2021, the National Institute on Aging Intramural and Extramural Programs jointly organized a workshop on Biology Underlying Moving and Thinking to explore the hypothesis that older persons with dual decline may develop dementia through a specific pathophysiological pathway. The working group discussed assessment methods for dual decline and possible mechanisms connecting dual decline with dementia risk and pinpointed the most critical questions to be addressed from a translational perspective.

ModInterv COVID-19: An online platform to monitor the evolution of epidemic curves.

We present the software ModInterv as an informatics tool to monitor, in an automated and user-friendly manner, the evolution and trend of COVID-19 epidemic curves, both for cases and deaths. The ModInterv software uses parametric generalized growth models, together with LOWESS regression analysis, to fit epidemic curves with multiple waves of infections for countries around the world as well as for states and cities in Brazil and the USA. The software automatically accesses publicly available COVID-19 databases maintained by the Johns Hopkins University (for countries as well as states and cities in the USA) and the Federal University of Viçosa (for states and cities in Brazil). The richness of the implemented models lies in the possibility of quantitatively and reliably detecting the distinct acceleration regimes of the disease. We describe the backend structure of software as well as its practical use. The software helps the user not only to understand the current stage of the epidemic in a chosen location but also to make short term predictions as to how the curves may evolve. The app is freely available on the internet (http://fisica.ufpr.br/modinterv), thus making a sophisticated mathematical analysis of epidemic data readily accessible to any interested user.

Interactions between emotions and eating behaviors: Main issues, neuroimaging contributions, and innovative preventive or corrective strategies.

Emotional eating is commonly defined as the tendency to (over)eat in response to emotion. Insofar as it involves the (over)consumption of high-calorie palatable foods, emotional eating is a maladaptive behavior that can lead to eating disorders, and ultimately to metabolic disorders and obesity. Emotional eating is associated with eating disorder subtypes and with abnormalities in emotion processing at a behavioral level. However, not enough is known about the neural pathways involved in both emotion processing and food intake. In this review, we provide an overview of recent neuroimaging studies, highlighting the brain correlates between emotions and eating behavior that may be involved in emotional eating. Interaction between neural and neuro-endocrine pathways (HPA axis) may be involved. In addition to behavioral interventions, there is a need for a holistic approach encompassing both neural and physiological levels to prevent emotional eating. Based on recent imaging, this review indicates that more attention should be paid to prefrontal areas, the insular and orbitofrontal cortices, and reward pathways, in addition to regions that play a major role in both the cognitive control of emotions and eating behavior. Identifying these brain regions could allow for neuromodulation interventions, including neurofeedback training, which deserves further investigation.

A study of SARS-COV-2 outbreaks in US federal prisons: the linkage between staff, incarcerated populations, and community transmission.

BACKGROUND: Since the novel coronavirus SARS-COV-2 was first identified to be circulating in the US on January 20, 2020, some of the worst outbreaks have occurred within state and federal prisons. The vulnerability of incarcerated populations, and the additional threats posed to the health of prison staff and the people they contact in surrounding communities underline the need to better understand the dynamics of transmission in the inter-linked incarcerated population/staff/community sub-populations to better inform optimal control of SARS-COV-2. METHODS: We examined SARS-CoV-2 case data from 101 non-administrative federal prisons between 5/18/2020 to 01/31/2021 and examined the per capita size of outbreaks in staff and the incarcerated population compared to outbreaks in the communities in the counties surrounding the prisons during the summer and winter waves of the SARS-COV-2 pandemic. We also examined the impact of decarceration on per capita rates in the staff/incarcerated/community populations. RESULTS: For both the summer and winter waves we found significant inter-correlations between per capita rates in the outbreaks among the incarcerated population, staff, and the community. Over-all during the pandemic, per capita rates were significantly higher in the incarcerated population than in both the staff and community (paired Student's t-test p = 0.03 and p < 0.001, respectively). Average per capita rates of incarcerated population outbreaks were significantly associated with prison security level, ranked from lowest per capita rate to highest: High, Minimum, Medium, and Low security. Federal prisons decreased the incarcerated population by a relative factor of 96% comparing the winter to summer wave (one SD range [90%,102%]). We found no significant impact of decarceration on per capita rates of SARS-COV-2 infection in the staff community populations, but decarceration was significantly associated with a decrease in incarcerated per capita rates during the winter wave (Negative Binomial regression p = 0.015). CONCLUSIONS: We found significant evidence of community/staff/incarcerated population inter-linkage of SARS-COV-2 transmission. Further study is warranted to determine which control measures aimed at the incarcerated population and/or staff are most efficacious at preventing or controlling outbreaks.

The Effects of Neurodevelopmental Therapy on Feeding and Swallowing Activities in Children with Cerebral Palsy.

This study investigated the effect of the structured Neurodevelopmental Therapy Method-Bobath (NDT-B) approach on the feeding and swallowing activity of patients with cerebral palsy (CP) and feeding difficulties. In addition to feeding and oral motor intervention strategies (OMIS), and nutrition-related caregiver training (NRCT), and the NDT-B, which was structured to increase trunk and postural control, was added to the therapy program. Forty patients with CP, with a mean age of 3.25 ± 0.927 years, were classified using the Gross Motor Function Classification System, Eating and Drinking Ability Classification System, and Mini-Manual Ability Classification System. The patients were randomly assigned into two groups as OMIS + NRCT (n = 20) and OMIS + NRCT + NDT-B (n = 20). The program was applied for 6 weeks, 2 days/week, for 45 min. The patients were evaluated using the Trunk Impairment Scale, Schedule for Oral Motor Assessment, and the Pediatric Quality of Life Inventory before and after 6 weeks. The trunk control of the OMIS + NRCT + NDT-B group was superior to the other group (P = 0.026). Although there was an improvement in the groups according to the subcategories of SOMA, the OMIS + NRCT + NDT-B group was superior in the trainer cup and puree subcategories of SOMA (P = 0.05). A significant correlation was observed between trunk control and oral motor functions in children with CP, and the eating function of children in the OMIS + NRCT + NDT-B group further improved. NDT-B-based neck and trunk stabilization exercises should be added to the treatment programs.Trial Registration NCT04403113.

The variants question: What is the problem?

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) originated in Wuhan, China in early December 2019 has rapidly widespread worldwide. Over the course of the pandemic, due to the advance of whole-genome sequencing technologies, an unprecedented number of genomes have been generated, providing both invaluable insights into the ongoing evolution and epidemiology of the virus and allowing the identification of hundreds of circulating genetic variants during the pandemic. In recent months variants of SARS-CoV-2 that have an increased number of mutations on the Spike protein have brought concern all over the world. These have been called "variants of concerns" (VOCs), and/or "variants of interests" (VOIs) as it has been suggested that their genome mutations might impact transmission, immune control, and virulence. Tracking the spread of emerging SARS-CoV-2 variants is crucial to inform public health efforts and control the ongoing pandemic. In this review, a concise characterization of the SARS-CoV-2 mutational patterns of the main VOCs and VOIs circulating and cocirculating worldwide has been presented to determine the magnitude of the SARS-CoV-2 threat to better understand the virus genetic diversity and its potential impact on vaccination strategy.

The role of seasonality in the spread of COVID-19 pandemic.

It has been reported that the transmission of COVID-19 can be influenced by the variation of environmental factors due to the seasonal cycle. However, its underlying mechanism in the current and onward transmission pattern remains unclear owing to the limited data and difficulties in separating the impacts of social distancing. Understanding the role of seasonality in the spread of the COVID-19 pandemic is imperative in formulating public health interventions. Here, the seasonal signals of the COVID-19 time series are extracted using the EEMD method, and a modified Susceptible, Exposed, Infectious, Recovered (SEIR) model incorporated with seasonal factors is introduced to quantify its impact on the current COVID-19 pandemic. Seasonal signals decomposed via the EEMD method indicate that infectivity and mortality of SARS-CoV-2 are both higher in colder climates. The quantitative simulation shows that the cold season in the Southern Hemisphere countries caused a 59.71 ± 8.72% increase of the total infections, while the warm season in the Northern Hemisphere countries contributed to a 46.38 ± 29.10% reduction. COVID-19 seasonality is more pronounced at higher latitudes, where larger seasonal amplitudes of environmental indicators are observed. Seasonality alone is not sufficient to curb the virus transmission to an extent that intervention measures are no longer needed, but health care capacity should be scaled up in preparation for new surges in COVID-19 cases in the upcoming cold season. Our study highlights the necessity of considering seasonal factors when formulating intervention strategies.

Homebound by COVID19: the benefits and consequences of non-pharmaceutical intervention strategies.

BACKGROUND: Recent research has been conducted by various countries and regions on the impact of non-pharmaceutical interventions (NPIs) on reducing the spread of COVID19. This study evaluates the tradeoffs between potential benefits (e.g., reduction in infection spread and deaths) of NPIs for COVID19 and being homebound (i.e., refraining from interactions outside of the household). METHODS: An agent-based simulation model, which captures the natural history of the disease at the individual level, and the infection spread via a contact network assuming heterogeneous population mixing in households, peer groups (workplaces, schools), and communities, is adapted to project the disease spread and estimate the number of homebound people and person-days under multiple scenarios, including combinations of shelter-in-place, voluntary quarantine, and school closure in Georgia from March 1 to September 1, 2020. RESULTS: Compared to no intervention, under voluntary quarantine, voluntary quarantine with school closure, and shelter-in-place with school closure scenarios 4.5, 23.1, and 200+ homebound adult-days were required to prevent one infection, with the maximum number of adults homebound on a given day in the range of 119 K-248 K, 465 K-499 K, 5388 K-5389 K, respectively. Compared to no intervention, school closure only reduced the percentage of the population infected by less than 16% while more than doubling the peak number of adults homebound. CONCLUSIONS: Voluntary quarantine combined with school closure significantly reduced the number of infections and deaths with a considerably smaller number of homebound person-days compared to shelter-in-place.

A review on Cadmium Exposure in the Population and Intervention Strategies Against Cadmium Toxicity.

The rapid industrial development has led to serious cadmium (Cd) pollution. Cd is a toxic heavy metal placing severe health threat to human. Cd can enter the body through the atmosphere, water, soil and food, and has a long half-life (10-30 years), it largely accumulates in kidneys, liver, bone and other organs and causes irreversible damage to the target organs. Cd pollution has also further caused certain carcinogenic and non-carcinogenic health risk. This study summarizes the current situation of Cd pollution, the toxicity of specific target organs, carcinogenic risk and non-carcinogenic risk in the general population, as well as dietary supplements to prevent and mitigate Cd toxication, which aims to focus on the adverse effects of Cd to human from both individual and population perspectives, hoping that not only the health risk of Cd poisoning can be reduced, but also the accurate prevention and control of Cd poisoning can be achieved in the future.

The gut microbiome in solid organ transplantation.

Despite ground-breaking advances in allogeneic transplantation, allograft rejection and immunosuppressant-specific complications remain a major challenge in transplant medicine. Growing evidence suggests the human gut microbiome as a potential contributor to transplant outcome and patient health. After breakthrough findings in haematopoietic stem cell transplantation (HSCT), the relevance of the microbiome in solid organ transplantation (SOT) is becoming increasingly clear. Here, we review the role of the microbiome in SOT focusing on its significance for transplant-associated complications such as allograft rejection and infections, and highlight its potential impact on immunosuppressive treatment. Moreover, we shed light on the emerging role of the microbiome as a diagnostic biomarker and therapeutic target and discuss current microbial intervention strategies. In addition, this review includes some practical considerations in designing clinical microbiome trials and offers some advice for the interpretation of the resulting data. Further investigation of the gut microbiome harbours countless clinical application possibilities and holds great promise of having a lasting impact on transplant medicine.

Not all interventions are equal for the height of the second peak.

In this paper we conduct a simulation study of the spread of an epidemic like COVID-19 with temporary immunity on finite spatial and non-spatial network models. In particular, we assume that an epidemic spreads stochastically on a scale-free network and that each infected individual in the network gains a temporary immunity after its infectious period is over. After the temporary immunity period is over, the individual becomes susceptible to the virus again. When the underlying contact network is embedded in Euclidean geometry, we model three different intervention strategies that aim to control the spread of the epidemic: social distancing, restrictions on travel, and restrictions on maximal number of social contacts per node. Our first finding is that on a finite network, a long enough average immunity period leads to extinction of the pandemic after the first peak, analogous to the concept of "herd immunity". For each model, there is a critical average immunity duration Lc above which this happens. Our second finding is that all three interventions manage to flatten the first peak (the travel restrictions most efficiently), as well as decrease the critical immunity duration Lc , but elongate the epidemic. However, when the average immunity duration L is shorter than Lc , the price for the flattened first peak is often a high second peak: for limiting the maximal number of contacts, the second peak can be as high as 1/3 of the first peak, and twice as high as it would be without intervention. Thirdly, interventions introduce oscillations into the system and the time to reach equilibrium is, for almost all scenarios, much longer. We conclude that network-based epidemic models can show a variety of behaviors that are not captured by the continuous compartmental models.

Modelling the evolution trajectory of COVID-19 in Wuhan, China: experience and suggestions.

OBJECTIVES: In December 2019, a novel coronavirus disease (COVID-19) emerged in Wuhan city, China, which has subsequently led to a global pandemic. At the time of writing, COVID-19 in Wuhan appears to be in the final phase and under control. However, many other countries, especially the US, Italy and Spain, are still in the early phases and dealing with increasing cases every day. Therefore, this article aims to summarise and share the experience of controlling the spread of COVID-19 in Wuhan and provide effective suggestions to enable other countries to save lives. STUDY DESIGN: Data from the National Health Commission of China are used to investigate the evolution trajectory of COVID-19 in Wuhan and discuss the impacts of the intervention strategies. METHODS: A four-stage modified Susceptible-Exposed-Infectious-Removed (SEIR) model is presented. This model considers many influencing factors, including chunyun (the Spring festival), sealing off the city and constructing the Fangcang shelter hospitals. In addition, a novel method is proposed to address the abnormal data on 12-13 February as a result of changing diagnostic criteria. Four different scenarios are considered to capture different intervention measures in practice. The exposed population in Wuhan who moved out before sealing off the city have also been identified, and an analysis on where they had gone was performed using the Baidu Migration Index. RESULTS: The results demonstrate that the four-stage model was effective in forecasting the peak, size and duration of COVID-19. We found that the combined intervention measures are the only effective way to control the spread and not a single one of them can be omitted. We estimate that England will be another epicentre owing to its incorrect response at the initial stages of COVID-19. Fortunately, big data technology can help provide early warnings to new areas of the pandemic. CONCLUSIONS: The four-stage SEIR model was effective in capturing the evolution trajectory of COVID-19. Based on the model analysis, several effective suggestions are proposed to prevent and control the pandemic for countries that are still in the initial phases.

Fear-Avoidance Beliefs and Health-Related Quality of Life in Post-ACL Reconstruction and Healthy Athletes: A Case-Control Study.

CONTEXT: Many athletes return to sport after anterior cruciate ligament reconstruction (ACLR) with lingering physical or mental health impairments. Examining health-related quality of life (HRQL) and fear-avoidance beliefs across the spectrum of noninjured athletes and athletes with a history of ACLR may provide further insight into targeted therapies warranted for this population. OBJECTIVE: The purpose of this study was to examine differences in fear-avoidance beliefs and HRQL in college athletes with a history of ACLR not participating in sport (ACLR-NPS), participating in sport (ACLR-PS), and healthy controls (Control) with no history of injury participating in sport. DESIGN: Cross-sectional. SETTING: Laboratory. Patients (or Other Participants): A total of 10 college athletes per group (ACLR-NPS, ACLR-PS, and Control) were included. Participants were included if on a roster of a Division I or III athletic team during data collection. INTERVENTIONS: Participants completed a demographic survey, the modified Disablement in the Physically Active Scale (mDPA) to assess HRQL, and Fear-Avoidance Beliefs Questionnaire (FABQ) to assess fear-avoidance beliefs. MAIN OUTCOME MEASURES: Scores on the mDPA (Physical and Mental) and FABQ subscales (Sport and Physical Activity) were calculated, a 1-way Kruskal-Wallis test and separate Mann-Whitney U post hoc tests were performed (P < .05). RESULTS: ACLR-NPS (30.00 [26.00]) had higher FABQ-Sport scores than ACLR-PS (18.00 [26.00]; P < .001) and Controls (0.00 [2.50]; P < .001). ACLR-NPS (21.50 [6.25]) had higher FABQ-Physical Activity scores than ACLR-PS (12.50 [13.00]; P = .001) and Controls (0.00 [1.00]; P < .001). Interestingly, ACLR-PS scores for FABQ-Sport (P = .01) and FABQ-Physical Activity (P = .04) were elevated compared with Controls. ACLR-NPS had higher scores on the mDPA-Physical compared with the ACLR-PS (P < .001) and Controls (P < .001), and mDPA-Mental compared with ACLR-PS (P = .01), indicating decreased HRQL. CONCLUSIONS: The ACLR-NPS had greater fear-avoidance beliefs and lower HRQL compared with ACLR-PS and Controls. However, the ACLR-PS had higher scores for both FABQ subscales compared with Controls. These findings support the need for additional psychosocial therapies to address fear-avoidance beliefs in the returned to sport population.

[Psychological health of nurses in operating room participating in organ donation and intervention effect].

Objective: To understand the effect of organ donation surgery on the mental health of nurses in operating room, and to explore the intervention effects. Methods: From Jan.2015 to Dec. 2018, 60 operating room nurses in our hospital participating in organ donation surgery were selected for investigation of mental health, and were intervened by group psychological training, positive psychological intervention, improving shift arrangement system and financial support. The SCL-90 scale and DAP-R scale were used to evaluate before and after intervention. Results: The mean scores of somatization, interpersonal sensitivity, depression, anxiety, terror, paranoia and psychoticism in SCL-90 scale of 60 operating room nurses were (2.07±0.63) , (2.07±0.69) , (1.88±0.62) , (1.71±0.57) , (1.78±0.67) , (1.71±0.68) , (1.73±0.60) before intervention respectively, which were significantly higher than the Chinese norm (P<0.01) and those[ (1.64±0.60) , (1.46±0.57) , (1.53±0.62) , (1.48±0.60) , (1.28±0.50) , (1.45±0.56) , (1.43±0.52) ] after intervention were lower than before (P<0.01) . Before and after the intervention, the scores of DAP-R scale tended to be death fear dimension and acceptance dimension, the proportion of the death fear dimension was 16.7% (10/60) and 6.7% (4/60) , respectively, and the approaching acceptance dimension was 83.3% (50/60) and 93.3% (56/60) . The proportion of the nurses with scores of SCL-90 scale ≥160 after the intervention was significantly lower than that before the intervention (χ(2)=5.82, P<0.05) . Conclusion: The mental health of nurses in the operating room participating in organ donation surgery is lower; After intervention, the investigated nurses present improved mental health and positively emotional attitude towards death.

Development of a mechanistic dengue simulation model for Guangzhou.

Dengue infection in China has increased dramatically in recent years. Guangdong province (main city Guangzhou) accounted for more than 94% of all dengue cases in the 2014 outbreak. Currently, there is no existing effective vaccine and most efforts of control are focused on the vector itself. This study aimed to evaluate different dengue management strategies in a region where this disease is emerging. This work was done by establishing a dengue simulation model for Guangzhou to enable the testing of control strategies aimed at vector control and vaccination. For that purpose, the computer-based dengue simulation model (DENSiM) together with the Container-Inhabiting Mosquito Simulation Model (CIMSiM) has been used to create a working dengue simulation model for the city of Guangzhou. In order to achieve the best model fit against historical surveillance data, virus introduction scenarios were run and then matched against the actual dengue surveillance data. The simulation model was able to predict retrospective outbreaks with a sensitivity of 0.18 and a specificity of 0.98. This new parameterisation can now be used to evaluate the potential impact of different control strategies on dengue transmission in Guangzhou. The knowledge generated from this research would provide useful information for authorities regarding the historic patterns of dengue outbreaks, as well as the effectiveness of different disease management strategies.