Epidemiological survey of an epidemic of COVID-19 due to occupational exposure in Qinghai, 2021

Objective: To analyze the epidemiological characteristics of an epidemic of coronavirus disease 2019 (COVID-19) caused by occupational exposure in Xining, Qinghai province, from October 17 to November 2, 2021 and provide evidence for the prevention and control of COVID-19 epidemic. Methods: In accordance with the requirements of the COVID-19 prevention and control protocol (eighth edition), epidemiological survey and field response were conducted and throat swabs were collected from the confirmed cases and close contacts. Real time-PCR(RT-PCR) was used to detect severe acute respiratory syndrome coronavirus (SARS-CoV-2) nucleic acid. Gene sequencing was performed for the throat swabs of partial confirmed cases by high throughput sequencing. Results: A total of 11 COVID-19 cases were reported in this epidemic, including 3 cases in a family and 8 cases in medical staff. Nine cases were women, 2 cases were men. The cases in epidemic had 3 generations. The average incubation period was 3.18 day. The infection was mainly occurred in working place. The risk factors included sharing telephone, computer and other office equipment. The initial symptoms were cough (10 cases, 90.97%). Unstandardized taking off protective suit in field epidemiological survey and inappropriate design of waterproof boot cover were the main risk factors for the occupational exposure. The SARS-CoV-2 detected belonged to VOC/Delta variant. Conclusion: This epidemic was caused by occupational exposure. It is suggested to strengthen the field supervision and guide of the wearing of protective suits, improve the design of waterproof boot cover and reduce the contacts of field workers with others.

Hospitalization, interpersonal and personal factors of social anxiety among COVID-19 survivors at the six-month follow-up after hospital treatment: the minority stress model.

Background: As a highly infectious disease with human-to-human transmission characteristics, COVID-19 has caused panic in the general public. Those who have recovered from COVID-19 may experience discrimination and internalized stigma. They may be more likely to worry about social interaction and develop social anxiety. Objectives: This study investigated the associations among hospitalization factors, social/interpersonal factors, personal factors, and social anxiety to reveal the mechanism of social anxiety in COVID-19 survivors. Methods: A cross-sectional, multicenter telephone survey was conducted from July to September 2020 in five Chinese cities (i.e. Wuhan, Nanning, Shenzhen, Zhuhai, and Dongguan); adult COVID-19 survivors were recruited 6 months after they were discharged from the hospital. Linear regressions and path analysis based on the minority stress model were conducted to test the relationships among hospitalization, social/interpersonal factors, personal factors, and social anxiety. Results: The response rate was 74.5% (N = 199, 55.3% females). Linear regression analyses showed that various hospitalization, social/interpersonal, and personal factors were statistically significantly associated with social anxiety. Path analysis showed that the proposed model fit the data well (χ2(df) = 3.196(3), p = .362, CFI = .999, NNFI = .996, RMSEA = .018). Internalized stigma fully mediated the association between perceived discrimination/social support and social anxiety, while it partially mediated the association between perceived affiliate stigma and social anxiety. Conclusions: The results suggest that social/interpersonal and personal factors have a stronger association with social anxiety than hospitalization factors and highlight the importance of internalized stigma in understanding the mechanisms of these relationships. Clinical psychologists can refer to these modifiable psychosocial factors to develop efficient interventions for mental health promotion.

Antecedentes: Como una enfermedad altamente infecciosa con características de transmisión de persona a persona, el COVID-19 ha causado pánico en el público en general. Aquellos que se han recuperado del COVID-19 pueden experimentar discriminación y estigma internalizado. Es más probable que se preocupen por la interacción social y desarrollen ansiedad social.Objetivos: Este estudio investigó las asociaciones entre factores de hospitalización, factores sociales /interpersonales, factores personales y ansiedad social para revelar el mecanismo de ansiedad social en sobrevivientes de COVID-19.Métodos: Se realizó una encuesta telefónica transversal multicentro de julio a septiembre de 2020 en cinco ciudades chinas (es decir, Wuhan, Nanning, Shenzhen, Zhuhai y Dongguan). Se reclutaron sobrevivientes adultos de COVID-19 seis meses después de ser dados de alta del hospital. Se realizaron regresiones lineales y análisis de ruta basados en el modelo de estrés de minoría para probar las relaciones entre la hospitalización, los factores sociales/interpersonales, los factores personales y la ansiedad social.Resultados: La tasa de respuesta fue del 74,5% (N = 199, 55,3% mujeres). Los análisis de regresión lineal mostraron que varios factores de hospitalización, sociales/interpersonales y personales se asociaron de manera estadísticamente significativa con la ansiedad social. El análisis de ruta mostró que el modelo propuesto se ajustaba bien a los datos (χ2 (df) = 3.196 (3), p = .362, CFI = .999, NNFI = .996, RMSEA = .018). El estigma internalizado medió completamente la asociación entre discriminación/apoyo social percibido y ansiedad social, mientras que medió parcialmente la asociación entre el estigma percibido de afiliados y ansiedad social.Conclusiones: Los resultados sugieren que los factores sociales/interpersonales y personales tienen una asociación más fuerte con la ansiedad social que los factores de hospitalización y resaltan la importancia del estigma internalizado en la comprensión de los mecanismos de estas relaciones. Los psicólogos clínicos pueden referirse a estos factores psicosociales modificables para desarrollar intervenciones eficientes para la promoción de la salud mental.

Hospitalization, interpersonal and personal factors of social anxiety among COVID-19 survivors at the six-month follow-up after hospital treatment: the minority stress model Hospitalización, factores interpersonales y personales de ansiedad social entre los sobrevivientes de COVID-19 en el seguimiento seis meses después del tratamiento hospitalario: el modelo de estrés de minoría 基于少数群体压力模型的新冠康复者住院经历, 出院后六个月人际及个人因素与社交焦虑之间的关联分析

Background As a highly infectious disease with human-to-human transmission characteristics, COVID-19 has caused panic in the general public. Those who have recovered from COVID-19 may experience discrimination and internalized stigma. They may be more likely to worry about social interaction and develop social anxiety. Objectives This study investigated the associations among hospitalization factors, social/interpersonal factors, personal factors, and social anxiety to reveal the mechanism of social anxiety in COVID-19 survivors. Methods A cross-sectional, multicenter telephone survey was conducted from July to September 2020 in five Chinese cities (i.e. Wuhan, Nanning, Shenzhen, Zhuhai, and Dongguan);adult COVID-19 survivors were recruited 6 months after they were discharged from the hospital. Linear regressions and path analysis based on the minority stress model were conducted to test the relationships among hospitalization, social/interpersonal factors, personal factors, and social anxiety. Results The response rate was 74.5% (N = 199, 55.3% females). Linear regression analyses showed that various hospitalization, social/interpersonal, and personal factors were statistically significantly associated with social anxiety. Path analysis showed that the proposed model fit the data well (χ2(df) = 3.196(3), p = .362, CFI = .999, NNFI = .996, RMSEA = .018). Internalized stigma fully mediated the association between perceived discrimination/social support and social anxiety, while it partially mediated the association between perceived affiliate stigma and social anxiety. Conclusions The results suggest that social/interpersonal and personal factors have a stronger association with social anxiety than hospitalization factors and highlight the importance of internalized stigma in understanding the mechanisms of these relationships. Clinical psychologists can refer to these modifiable psychosocial factors to develop efficient interventions for mental health promotion. HIGHLIGHTS Internalized stigma fully mediated the effects of perceived discrimination and social support on social anxiety and partially mediated the effect of perceived affiliate stigma on social anxiety.

Post-traumatic Stress Disorder Symptoms in COVID-19 Survivors 6 Months After Hospital Discharge: An Application of the Conservation of Resource Theory.

COVID-19 survivors who had acute respiratory symptoms might experience prolonged post-traumatic stress disorder (PTSD) due to further rehabilitation, somatic symptoms and related distress. The conservation of resource (COR) theory is a well-developed theory to understand how people develop PTSD symptoms in traumatic events. The current study aimed to examine the potential factors of PTSD symptoms and interrelationships among this factors among COVID-19 survivors based on the COR theory. This cross-sectional telephone survey enrolled 199 COVID-19 patients (Mean age = 42.7; 53.3% females) 6 months after their hospital discharge in five Chinese cities (i.e., Wuhan, Shenzhen, Zhuhai, Dongguan, and Nanning). The results showed that 7% of participants were classified as having probable PTSD. The significant potential factors relating to PTSD symptoms included socio-demographic status, hospitalization experiences, post-hospitalization experiences, and psychological status. Besides, the proposed statistical mediation model based on the COR framework showed good model fit, χ2(df) = 17.286 (5), p = 0.004, CFI = 0.962, NNFI = 0.951, RMSEA = 0.077. Perceived resource loss/gain fully mediated the association between exposure to other patients' suffering during hospitalization and PTSD symptoms, and partially mediated the relationships from somatic symptoms/perceived impact of being infected with COVID-19 after discharge to PTSD symptoms. On the other hand, resilience was a full mediator in the relationship from ICU experience to PTSD symptoms and a partial mediator in the relationship from perceived impact to PTSD symptoms. The results provide preliminary support on applying the COR theory to understand the factors of PTSD symptoms among COVID-19 survivors. Interventions to reduce PTSD symptoms in this population can be developed based on the modifiable psychosocial mediators.

Associations between COVID-19 related stigma and sleep quality among COVID-19 survivors six months after hospital discharge.

BACKGROUND: Many COVID-19 survivors reported stigmatization after recovery. This study investigated the association between stigma (discrimination experiences, self-stigma and perceived affiliate stigma) and sleep quality among COVID-19 survivors six months after hospital discharge. METHODS: Participants were recovered adult COVID-19 survivors discharged between February 1 and April 30, 2020. Medical staff of five participating hospitals approached all discharged COVID-19 period during this period. A total of 199 participants completed the telephone interview during July to September, 2020. Structural equation modeling was performed to test the hypothesize that resilience and social support would mediate the associations between stigma and sleep quality. RESULTS: The results showed that 10.1% of the participants reported terrible/poor sleep quality, 26.1% reported worse sleep quality in the past week when comparing their current status versus the time before COVID-19. After adjusting for significant background characteristics, participants who had higher number of discrimination experience, perceived stronger self-stigma and stronger perceived affiliate stigma reported poorer sleep quality. Resilience and social support were positively and significantly associated with sleep quality. The indirect effect of self-stigma on sleep quality through social support and resilience was significant and negative. Perceived affiliate stigma also had a significant and negative indirect effect on sleep quality through social support and resilience. CONCLUSIONS: Various types of stigma after recovery were associated with poor sleep quality among COVID-19 survivors, while social support and resilience were protective factors. Resilience and social support mediated the associations between self-stigma/perceived affiliate stigma and sleep quality.

Pre-hospital, in-hospital and post-hospital factors associated with sleep quality among COVID-19 survivors 6 months after hospital discharge: cross-sectional survey in five cities in China.

Background: Understanding factors associated with post-discharge sleep quality among COVID-19 survivors is important for intervention development. Aims: This study investigated sleep quality and its correlates among COVID-19 patients 6 months after their most recent hospital discharge. Method: Healthcare providers at hospitals located in five different Chinese cities contacted adult COVID-19 patients discharged between 1 February and 30 March 2020. A total of 199 eligible patients provided verbal informed consent and completed the interview. Using score on the single-item Sleep Quality Scale as the dependent variable, multiple linear regression models were fitted. Results: Among all participants, 10.1% reported terrible or poor sleep quality, and 26.6% reported fair sleep quality, 26.1% reported worse sleep quality when comparing their current status with the time before COVID-19, and 33.7% were bothered by a sleeping disorder in the past 2 weeks. After adjusting for significant background characteristics, factors associated with sleep quality included witnessing the suffering (adjusted B = -1.15, 95% CI = -1.70, -0.33) or death (adjusted B = -1.55, 95% CI = -2.62, -0.49) of other COVID-19 patients during hospital stay, depressive symptoms (adjusted B = -0.26, 95% CI = -0.31, -0.20), anxiety symptoms (adjusted B = -0.25, 95% CI = -0.33, -0.17), post-traumatic stress disorders (adjusted B = -0.16, 95% CI = -0.22, -0.10) and social support (adjusted B = 0.07, 95% CI = 0.04, 0.10). Conclusions: COVID-19 survivors reported poor sleep quality. Interventions and support services to improve sleep quality should be provided to COVID-19 survivors during their hospital stay and after hospital discharge.

Decoupling transient effects of factors affected by air recirculation devices on contaminant distribution in ventilated spaces

The use of indoor air recirculation devices, such as air cleaners and air curtains, results in an airflow interaction between air supply jets and recirculated airflows. It is essential to quantify the independent effects of supply air, contaminant source, and initial condition in a ventilated room with air recirculation. In this paper, the transport process of a contaminant with air recirculation is mathematically derived based on a fixed flow field. A linear expression is established to describe the transient contributions of different influencing factors. The indices of revised transient accessibility of supply air (RTASA), contaminant source (RTACS), and initial condition (RTAIC), are defined to quantify the effect of each factor by incorporating the effect of air recirculation. The prediction accuracy is verified through a comparison with simulation results. The proposed indices are applied to evaluate a ventilated room with an air cleaner and recirculated air curtain. The results indicate that the recirculated airflows from both the air cleaner and air curtain increase the RTASA of each air supply inlet to distant areas. The purification effect (30%) occurs only after a certain period for RTASA and RTACS, while it operates from the initial stage for RTAIC owing to the initial high contamination. The RTACS in the protected zone is reduced significantly owing to the air curtain, with a decrease from 1.33 to 0.77 at 600 s at a height of 1.2 m in the curtain jet. The proposed method can be used to evaluate indoor environments with various air recirculation devices.

A nomogramic model based on clinical and laboratory parameters at admission for predicting the survival of COVID-19 patients.

BACKGROUND: COVID-19 has become a major global threat. The present study aimed to develop a nomogram model to predict the survival of COVID-19 patients based on their clinical and laboratory data at admission. METHODS: COVID-19 patients who were admitted at Hankou Hospital and Huoshenshan Hospital in Wuhan, China from January 12, 2020 to March 20, 2020, whose outcome during the hospitalization was known, were retrospectively reviewed. The categorical variables were compared using Pearson's χ2-test or Fisher's exact test, and continuous variables were analyzed using Student's t-test or Mann Whitney U-test, as appropriate. Then, variables with a P-value of ≤0.1 were included in the log-binomial model, and merely these independent risk factors were used to establish the nomogram model. The discrimination of the nomogram was evaluated using the area under the receiver operating characteristic curve (AUC), and internally verified using the Bootstrap method. RESULTS: A total of 262 patients (134 surviving and 128 non-surviving patients) were included in the analysis. Seven variables, which included age (relative risk [RR]: 0.905, 95% confidence interval [CI]: 0.868-0.944; P < 0.001), chronic heart disease (CHD, RR: 0.045, 95% CI: 0.0097-0.205; P < 0.001, the percentage of lymphocytes (Lym%, RR: 1.125, 95% CI: 1.041-1.216; P = 0.0029), platelets (RR: 1.008, 95% CI: 1.003-1.012; P = 0.001), C-reaction protein (RR: 0.982, 95% CI: 0.973-0.991; P < 0.001), lactate dehydrogenase (LDH, RR: 0.993, 95% CI: 0.990-0.997; P < 0.001) and D-dimer (RR: 0.734, 95% CI: 0.617-0.879; P < 0.001), were identified as the independent risk factors. The nomogram model based on these factors exhibited a good discrimination, with an AUC of 0.948 (95% CI: 0.923-0.973). CONCLUSIONS: A nomogram based on age, CHD, Lym%, platelets, C-reaction protein, LDH and D-dimer was established to accurately predict the prognosis of COVID-19 patients. This can be used as an alerting tool for clinicians to take early intervention measures, when necessary.

A multiple center clinical evaluation of an ultra-fast single-tube assay for SARS-CoV-2 RNA

Objectives To evaluate the performance of an ultra-fast single-tube nucleic acid isothermal amplification detection assay for SARS-CoV-2 RNA using clinical samples from multiple centers. Methods A reverse transcription recombinase-aided amplification (RT-RAA) assay for SARS-CoV-2 was conducted within 15minutesat39°C with portable instruments after addition of extracted RNA. The clinical performance of RT-RAA assay was evaluated using 947 clinical samples from five institutions in four regions of China, and the approved commercial real-time fluorescent RT-PCR (qRT-PCR) kits were used for parallel detection. The sensitivity and specificity of RT-RAA were compared and analyzed. Results The RT-RAA test results of 926 samples were consistent with those of qRT-PCR (330 were positive, 596 were negative) and 21 were inconsistent. The sensitivity and specificity of RT-RAA was 97.63% [330/338, 95% confidence interval (CI): 95.21 to 98.90] and 97.87% (596/609, 95% CI: 96.28 to 98.81), respectively. The positive predictive value (PPV) and negative predictive value (NPV) were 96.21% (330/343, 95% CI: 93.45 to 97.88), and 98.68% (596/604, 95% CI: 97.30 to 99.38), respectively. The total coincidence rate was 97.78% (926/947, 95% CI: 96.80 to 98.70) and the Kappa was 0.952 (P <0.05). Conclusion With comparable sensitivity and specificity to the commercial qRT-PCR kits, RT-RAA assay for SARS-CoV-2 exhibited distinctive advantages of simplicity and rapidity in terms of operation and turn-around time.