Perceived stress and influencing factors for the people at high risk to COVID-19 in centralized quarantine camps in Wenzhou, China.

BACKGROUND: This study was designed to assess stress levels and related factors during the coronavirus disease 2019 (COVID-19) epidemic among individuals in centralized quarantine camps in Wenzhou, China. METHODS: The survey was conducted using a questionnaire. The questionnaire included questions on sociodemographic characteristics, life events related to the COVID-19 and stressful situations, as well as Perceived Stress Scale-14. Participants included close contacts of patients with COVID-19 or at-risk individuals in quarantine camps. Multivariate logistic regression was used to analyze different factors affecting perceived stress. RESULTS: The prevalence of high stress among quarantine camp participants was 37.45%. Of the 881 respondents, 51.99% were concerned about the difficulty of controlling the epidemic, 46.20% were concerned about the health of themselves and their family members and 39.61% were concerned about not being able to leave their homes. Multivariate logistic regression analysis revealed statistically significant differences in the prevalence of stress among different groups for certain variables, including occupation, education level and knowledge of COVID-19 (all P < 0.05). Our study found that at-risk individuals and close contacts experienced high levels of stress in quarantine camps during the COVID-19 pandemic. CONCLUSIONS: These findings suggest that centralized quarantine policies should be adapted and optimized to minimize negative psychological effects on quarantined individuals.

Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale COVID-19 outbreak: based on Adaboost model.

OBJECTIVES: COVID-19 epidemics often lead to elevated levels of depression. To accurately identify and predict depression levels in home-quarantined individuals during a COVID-19 epidemic, this study constructed a depression prediction model based on multiple machine learning algorithms and validated its effectiveness. METHODS: A cross-sectional method was used to examine the depression status of individuals quarantined at home during the epidemic via the network. Characteristics included variables on sociodemographics, COVID-19 and its prevention and control measures, impact on life, work, health and economy after the city was sealed off, and PHQ-9 scale scores. The home-quarantined subjects were randomly divided into training set and validation set according to the ratio of 7:3, and the performance of different machine learning models were compared by 10-fold cross-validation, and the model algorithm with the best performance was selected from 15 models to construct and validate the depression prediction model for home-quarantined subjects. The validity of different models was compared based on accuracy, precision, receiver operating characteristic (ROC) curve, and area under the ROC curve (AUC), and the best model suitable for the data framework of this study was identified. RESULTS: The prevalence of depression among home-quarantined individuals during the epidemic was 31.66% (202/638), and the constructed Adaboost depression prediction model had an ACC of 0.7917, an accuracy of 0.7180, and an AUC of 0.7803, which was better than the other 15 models on the combination of various performance measures. In the validation sets, the AUC was greater than 0.83. CONCLUSIONS: The Adaboost machine learning algorithm developed in this study can be used to construct a depression prediction model for home-quarantined individuals that has better machine learning performance, as well as high effectiveness, robustness, and generalizability.

Epidemiological and Clinical Characteristics of COVID-19 Outbreak in a Mental Hospital in Wenzhou, China, December 2022-January 2023.

Background: Coronavirus disease (COVID-19) mainly caused by the Omicron virus strain currently is still prevalent worldwide, and many medical institutions have experienced COVID-19 outbreaks in the past three years. Objective: This article reported COVID-19 outbreak among health care workers in a mental hospital to clarify the epidemiological and clinical characteristics of COVID-19 outbreak in a medical institution, to assess the susceptible factors related to COVID-19 among these personnel and to evaluate the effect of COVID-19 vaccine on the medical workers. Methods: A uniform questionnaire was used to investigate all employees, including age, gender, department, time of onset, clinical symptoms, vaccination status. At the same, the results of laboratory testing, chest computed tomography (CT) and/or X-ray examination were collected. Results: Among 1047 hospital employees, 842 cases were diagnosed as COVID-19, with a total attack rate of 80.42%. The attack rate of doctors, nurses, medical technicians, and administrators (83.50-90.67%) was higher than that of logistics departments (56.81%). Out of the 842 patients, 9 were hospitalized; 833 were non-hospitalized patients who belong to mild or moderate cases. No deaths were reported. The full vaccination rate and booster rate of COVID-19 vaccine were 78.26% and 80.87%, respectively. There was no significant correlation between the attack rate and COVID-19 vaccine (χ2 = 3.41 P > 0.05). Conclusion: This is an outbreak of COVID-19 with a high attack rate among employees in a mental hospital. The attack rate of medical personnel is higher than that of logistics personnel, which may be related to opportunities and duration of contact with infected individuals. COVID-19 vaccine has no significant protective effect on patients with mild or moderate symptoms 13 months after the full vaccination. It is suggested that they should be timely boostered with COVID-19 vaccine to maintain their immunity to the disease.

Impacting factors and sources of perceived stress by home-quarantined residents in Shanghai during COVID-19 epidemic.

BACKGROUND: Home-quarantine is one of the most common measures implemented to prevent or minimize the transmission of COVID-19 among communities. This study assessed stress levels of the home-quarantined residents in Shanghai during a massive wave of COVID-19 epidemic this year, explored the stress sources perceived by the respondents, and analyzed the association between each of the sociodemographic factors and the stress level. METHODS: This online survey was launched during April 23 - 30, 2022, the early stage of a massive wave of COVID-19 in Shanghai, China. Participants were quarantined-residents negative for COVID-19. They were asked to list some situations that were their major concerns and perceived stressful, in addition to sociodemographic and COVID-19 related information. Moreover, they were asked to complete the Perceived Stress Scale-14 (PSS-14) for the assessment of stress level. RESULTS: A total of 488 valid questionnaires were collected from 192 male and 296 female respondents. Overall, 207 persons (42.42%) presented high stress level (PSS-14 score ≥43). The top three concerns perceived stressful by respondents are "not allowed to go outdoors", "uncertain duration of the epidemic", and "lack of food supply". Fewer than 50% of the respondents perceived the other situations stressful. Higher proportions of young adults (≤ 29 years old), males, unemployed, singles, and those with low income (≤ 1999 yuan/month) perceived high stress compared to their counterparts, none of COVID-19 related factors is associated with the stress level, including location of residence, result of nucleic acid test, knowledge about COVID-19, whether vaccinated, and quarantine duration. CONCLUSION: Home-quarantine applied to people negative for COVID-19 led to a lot of major concerns that may be perceived stressful, whereas the virus-related factors did not show significant impact on mental health of the respondents.

Travel-associated outbreak of COVID-19 in a departmental store, Wenzhou, China.

INTRODUCTION: A local outbreak of coronavirus disease 2019 (COVID-19) has rapidly evolved into a global pandemic and the number of cases and deaths has increased exponentially. In this study, we report a COVID-19 outbreak that occurred in a departmental store, between January and February 2020, in Wenzhou, China and investigated the reasons for the outbreak. METHODOLOGY: An outbreak investigation was initiated after the index case was diagnosed as COVID-19. Cases (confirmed and suspected) and close contacts were defined. Their pharyngeal swabs were collected and examined with real-time polymerase chain reaction (RT-PCR) for nucleic acid. All investigations of the confirmed and suspected cases were carried out by epidemiologists and the source of infection was tracked by using big data. RESULTS: Thirty-nine COVID-19 cases and one asymptomatic individual were found in this outbreak, as determined by clinical manifestations, epidemiological investigation, and RT-PCR. Majority of COVID-19 cases occurred in a departmental store, three of whom traveled to participate in a meeting held in H city. After disease outbreak in the departmental store, intra-family transmission of COVID-19 occurred in five families. Two clusters of the COVID-19 outbreak were identified. One cluster was attributed to the family party, while another was attributed to a hotel party, which was responsible for transmission across three generations, infecting five family members. CONCLUSIONS: This was travel associated COVID-19 outbreak in a departmental store in Wenzhou, China. High infectivity of COVID-19 was observed. A departmental store, especially without recirculation of the air, was a high-risk site for the transmission of COVID-19. The use of big data and related information was very useful in epidemiological investigation of cases and contacts.

Outbreak of COVID-19 in a family, Wenzhou, China.

Since December 2019, China has experienced a widespread outbreak of COVID-19. However, at the early stage of outbreak, investigations revealed a variety of patterns resulting in the transmission of COVID-19. Thus, it is essential to understand the transmission types and the potential for sustained human-to-human transmission. Moreover, the information regarding the characteristics of transmission helps in coordinating the current screening programme, and controlling and containing measures, and also, helps in deciding the appropriate quarantine duration. Thus, this investigation reports an outbreak of COVID-19 in a family residing in Wenzhou, Zhejiang, China during the month of January-February 2020.

Epidemiological Features of Hand, Foot and Mouth Disease during the Period of 2008-14 in Wenzhou, China.

This study aimed to analyze the epidemiological characteristics of hand, foot and mouth disease (HFMD) during 2008-14 in Wenzhou, China. The epidemiological data of HFMD retrieved from the Wenzhou Center for Disease Control and Prevention were retrospectively analyzed. HFMD infections with enterovirus 71 (EV71), Cox A16 or other pathogens were further verified by polymerase chain reaction (PCR) and real-time PCR. A total of 213 617 cases of HFMD were reported between 2008 and 2014 in Wenzhou. The average incidence was 384.31 of 100 000, and the fatality rate was 0.14‰. The incidence of HFMD peaked between April and July, and it occurred more frequently in males than in females. Approximately 92.68% of the HFMD patients were children aged <5 years. Nearly 80% of the cases were diagnosed within 2 days after onset. The major HFMD pathogen was EV71. This study suggested that appropriate comprehensive prevention and control measures should be taken to avoid the spread of HFMD.

Status and risk factors of unintentional injuries among Chinese undergraduates: a cross-sectional study.

BACKGROUND: Injuries affect all age groups but have a particular impact on young people. To evaluate the incidence of non-fatal, unintentional, injuries among undergraduates in Wenzhou, China, assess the burden caused by these injuries, and explore the associated risk factors for unintentional injuries among these undergraduates, we conducted a college-based cross-sectional study. METHODS: Participants were selected by a multi-stage random sampling method, and 2,287 students were asked whether they had had an injury in the last 12 months; the location, cause, and consequences of the event. The questionnaire included demographic and socioeconomic characteristics, lifestyle habits, and the scale of type A behaviour pattern (TABP). Multivariate logistic regression models were used; crude odds ratios (ORs), adjusted ORs and their 95% confidence intervals (CIs) were estimated, with students having no injuries as the reference group. RESULTS: The incidence of injuries among undergraduates in Wenzhou was 18.71 injuries per 100 person-years (95%CI: 17.12~20.31 injuries per 100 person-years). Falls were the leading cause of injury, followed by traffic injuries, and animal/insect bites. Male students were more likely to be injured than female students. Risk factors associated with unintentional injuries among undergraduates were: students majoring in non-medicine (adjusted OR: 1.53; 95% CI: 1.19-1.96); type A behaviour pattern (adjusted OR: 2.99; 95% CI: 1.45-6.14); liking sports (adjusted OR: 1.86; 95% CI: 1.41-2.45). CONCLUSIONS: Injuries have become a public health problem among undergraduates. Falls were the major cause of non-fatal injury. Therefore, individuals, families, schools and governments should promptly adopt preventive measures aimed at preventing and controlling morbidity due to non-fatal injury, especially among students identified to be at high-risk; such as male students with type A behaviour pattern who like sports.

[Study on the prevalence of tic disorders in schoolchildren aged 7-16 years old in Wenzhou].

OBJECTIVE: To study the epidemiological features of tic disorders (TD) among schoolchildren in Wenzhou area. METHODS: Stratified cluster sampling was carried out to investigate TD in 9742 schoolchildren aged 7 to 16 years old in Wenzhou. RESULTS: The average prevalence rate of TD among school-age children was 104/10 000 (166/10 000 for males, 29/10 000 for females). There was a significantly higher prevalence rate for males than that for females (chi(2) = 43.96, P < 0.001, prevalence ratio = 5.7, prevalence ratio 95% CI: 3.20 - 10.30). The prevalence rates of clinical subtypes in males was significantly higher than that of females while pupils was significantly higher than that in high school students (chi(2) = 11.33, P < 0.01, prevalence ratio = 2.2, prevalence ratio 95% CI: 1.37 - 3.43). Prevalence rate of transient tic disorders (TTD), chronic motor vocal tic disorder (CMVTD), tourette syndrome (TS) were 34/10 000, 27/10 000 and 43/10 000 respectively with the highest among 9-10 years old group. The mean onset age of TD was 8.5 +/- 2.8 years. The peak of onset was among 6-10 year olds. The rate of delayed diagnosis of the disorders was 69.3% and the median in delayed diagnosis was 1.0 year. CONCLUSION: TD is a common disease with high rate of misdiagnoses among schoolchildren in Wenzhou area. Physicians and population should be trained to identify the syndromes and to practice correct diagnosis and effective treatment as early as possible.

[Study on the prevalence of Tourette syndrome in children and juveniles aged 7-16 years in Wenzhou area].

OBJECTIVE: To study the prevalence and distribution of Tourette syndrome (TS). METHODS: Nine thousand, seven hundred and forty-two children and juveniles aged 7 - 16 years in Wenzhou were studied, using cluster random sampling method. RESULTS: The prevalence of TS among school-age children was estimated to be 0.43% (0.74% for males and 0.07% for females). The prevalence of male children and juveniles was higher than that of female children and juveniles (chi(2) = 25.09, P < 0.001, prevalence ratio = 10.95, prevalence ratio 95% CI: 3.38 - 35.46). The highest prevalence of TS was between 9 - 10 years old. The mean age at onset of TS was 7.7 +/- 2.7 years, with 45.2% of them among 6 - 7 year olds. The rate of delayed diagnosis and rates of misdiagnosis and misclassification of the syndromes were 78.6%, 42.9% and 23.8%, respectively. CONCLUSION: Tourette syndrome had been a common disease of children and juveniles in Wenzhou area. The disease was correlated with age and sex, often misdiagnosed and misclassified. Physicians and as well as general publics should be trained to identify the cases.