Objectives: The aim of present study was to assess the Knowledge, Attitudes and Practices (KAP) of dental practitioners in Kolkata city, West Bengal, India regarding COVID-2019 pandemic.
Materials and method: Online questionnaire was distributed among dentists across West Bengal city, using a combination of convenience and snowball sampling. The questionnaire had 17 questions: (1) Section A was 'General section' which comprised of socio-demographic and professional details of the subjects; and (2) Section B comprised of 14 questions depicting knowledge, awareness attitude and practice regarding COVID-19. The data collected was subjected to statistical analysis with level of significance at p=0.05. The descriptive statistical analysis was done to compute frequency and percentages. Intergroup comparison was determined by Chi-square statistical analysis to determine the level of significance for responses of each question.
Results: Around 70.4% undergraduates participated in the study. Only 4.3% showed accurate knowledge with respect to the incubation period of coronavirus. Coughing and sneezing was considered to be the most common mode of transmission. 98.9% of dentists considered fever to be the characteristic symptom of the disease. Hand washing and alcohol rubs was advocated by 99.5% of the dentist. Emergency procedures were considered necessary by 90.8% dentists. 75.1% of dentists agree that their practice has been affected by the pandemic.
Conclusion: A constant update regarding COVID-19 should be made available to dental health care professionals through webinars, seminars, discussions and articles. Dentists should keep themselves updated and help to fight against this pandemic.
OBJECTIVES: To assess the prevalence of depression, anxiety, and stress as well as identify predictors among recovered COVID-19 patients after more than six months of being discharged in Dong Thap Province, Vietnam.
MATERIAL AND METHODS: The cross-sectional study was conducted among 549 eligible participants recruited by stratified sampling. Data was collected using the depression, anxiety and stress scale - 21 items had Content Validity Index = 0.9, and Cronbach's alpha for depression, anxiety and stress sub-scales were 0.95, 0.81, and 0.86, respectively. Descriptive statistics were used to measure the prevalence levels and distribution of characteristics of the participant, while factors influencing depression, anxiety, and stress were predicted using binary logistic regression.
RESULTS: The overall prevalence of depression, anxiety, and stress were 24.8% (95% CI: 21.2-28.6), 41.5% (95% CI: 37.4-45.8), and 25.3% (95% CI: 21.7-29.2), respectively. The predictors of depression were living in urban area (OR = 1.97; 95% CI: 1.27-3.08), holding a bachelor's degree (OR:3.51; 95% CI: 1.13-10.8), having a high monthly income (OR: 2.57; 95% CI: 1.03-6.38), diabetes (OR: 2.21; 95% CI: 1.04-4.68), heart disease (OR: 3.83; 95% CI: 1.79-8.17), respiratory disease (OR: 3.49; 95% CI: 1.24-9.84), and diarrhea (OR: 4.07; 95% CI: 1.06-15.6). Living in the urban area (OR: 1.57; 95% CI: 1.07-2.29), having sleep disturbance (OR: 2.32; 95% CI: 1.56-3.46), and fatigue (OR: 1.57; 95% CI: 1.03-2.39) were predictors for anxiety. Having respiratory disease (OR: 3.75; 95% CI: 1.47-9.60) or diarrhea (OR: 4.34; 95% CI: 1.18-15.9) were predictors of stress.
CONCLUSION: People who have recovered from COVID-19 should be assessed for symptoms of depression, anxiety, and stress. Primary healthcare providers should develop interventions to support their recovery.
OBJECTIVE: This study aims to evaluate the association between indoor airborne fungi and environmental factors in a student dormitory in southern Thailand.
MATERIAL AND METHODS: The study was conducted at Walailak University in southern Thailand from September toDecember 2020. Air samples were collected from rooms in thirteen dormitories, and the fungal load was determined using the passive air sampling method. The study also measured meteorological parameters and gathered data on occupant behaviors and exposure-related symptoms through a self-administered questionnaire.
RESULTS: In a total of 135 student rooms, the average concentration (mean ± SD) of indoor airborne fungi was 409.72±176.22 CFU/m3, which showed the highest concentration on the first floor. For meteorological parameters, the averages of RH (%), temperature (°C), and CO2 (ppm) were 70.99±2.37, 31.11±0.56 and 413.29±76.72, respectively. The abundance of indoor airborne fungi was positively associated with an increase in RH (β=0.267, 95% CI: 5.288, 34.401) and building height (β=0.269, 95% CI: 16.283, 105.873), with values of 19.845 and 61.078, respectively. Conversely, temperature exhibited a negative effect on indoor airborne fungi (-92.224, β=-0.292, 95% CI: -150.052, -34.396).
CONCLUSION: The findings highlight the influence of RH, temperature and building height on indoor airborne fungi in the student dormitory. Therefore, effective management strategies are necessary to improve indoor air quality and reduce associated health risks in student dormitories.