ABSTRACT
Context: Telepsychiatry is being practiced in India for many years but was formalized only in 2020. It has many advantages and disadvantages. Aims: This study aimed to understand the perceived advantages and disadvantages of telepsychiatry practices in India. Settings and Design: An online survey with ethics approval by the Indian Psychiatric Society (IPS) Ethics Review Board. All psychiatrists who are members of the IPS and whose email address was available with the society were sent the survey link by email. Methodology: Information about existing telepsychiatry consultation practices in India and perception of advantages and disadvantages by the practitioners were collected between June and July 2020. Statistical Analysis: Frequency, percentages, mean, and standard deviation were calculated. Results: Responses by 340 responders were analyzed. Majority of the responders felt that telepsychiatry would provide easy accessibility to mental health services (n = 283, 83.24%) and would lead to less exposure to infections (n = 222, 65.29%). Half of the responders (n = 177, 52.06%) felt that there would be an increased doctor shopping resulting in poor care and nearly three-fourth (n = 245, 72.06%) felt that mental health professionals would fall into a problem while dealing with a suicidal or a homicidal patient. Some expressed that the inability to do physical and central nervous system examinations could lead to missing out comorbidities. About one-third (n = 117, 36.56%) felt that the patient recording the consultation would be a legal issue. Conclusions: This online survey showed that psychiatrists perceive many advantages and some disadvantages in practicing telepsychiatry.
ABSTRACT
Due to the continued evolution of the SARS-CoV-2 pandemic, researchers worldwide are working to mitigate, suppress its spread, and better understand it by deploying digital signal processing (DSP) and machine learning approaches. This study presents an alignment-free approach to classify the SARS-CoV-2 using complementary DNA, which is DNA synthesized from the single-stranded RNA virus. Herein, a total of 1582 samples, with different lengths of genome sequences from different regions, were collected from various data sources and divided into a SARS-CoV-2 and a non-SARS-CoV-2 group. We extracted eight biomarkers based on three-base periodicity, using DSP techniques, and ranked those based on a filter-based feature selection. The ranked biomarkers were fed into k-nearest neighbor, support vector machines, decision trees, and random forest classifiers for the classification of SARS-CoV-2 from other coronaviruses. The training dataset was used to test the performance of the classifiers based on accuracy and F-measure via 10-fold cross-validation. Kappa-scores were estimated to check the influence of unbalanced data. Further, 10 × 10 cross-validation paired t-test was utilized to test the best model with unseen data. Random forest was elected as the best model, differentiating the SARS-CoV-2 coronavirus from other coronaviruses and a control a group with an accuracy of 97.4 %, sensitivity of 96.2 %, and specificity of 98.2 %, when tested with unseen samples. Moreover, the proposed algorithm was computationally efficient, taking only 0.31 s to compute the genome biomarkers, outperforming previous studies.
Subject(s)
COVID-19 , SARS-CoV-2 , Algorithms , Humans , Machine Learning , PandemicsABSTRACT
BACKGROUND: Little information is available from India about the psychological impact of COVID-19 on helath-care workers. AIM: The current study aimed to evaluate the psychological issues among the health-care workers (HCW) during the COVID-19 pandemic. MATERIALS AND METHODS: An online survey using Survey Monkey® platform was carried out to evaluate depression (using Patient Health Questionnaire-9), anxiety (using Generalized Anxiety Disorder Questionnaire-7), and other psychological issues (using a self-designed questionnaire). RESULTS: The study sample comprised 303 participants with a mean age of 41.2 (standard deviation: 11.1) years. A majority of them were male (69%) and married (79.9%). Nearly half (46.2%) of the participants had either anxiety disorder or depression or both and 12.9% of HCW had suicidal behavior. Higher level of anxiety and depression scores were associated with being female, having undergone quarantine, directly involved in the care of COVID-19 patients, and younger age (<30 years). Higher prevalence of depression and anxiety disorder was seen in younger (<30 years) age group, being a doctor (compared to paramedics). In addition, higher prevalence of depression was seen in those who were directly involved in the care of patients with COVID-19 infection. CONCLUSION: About half of the HCWs are suffering from psychiatric morbidity, specifically anxiety, in the wake of the COVID-19 pandemic. There is a need to assess all the HCWs for psychiatric morbidity and provide them with psychological support.
ABSTRACT
BACKGROUND: The COVID-19 pandemic has led to a complete shut-down of the entire world and almost all the countries are presently in a "lockdown" mode. While the lockdown strategy is an essential step to curb the exponential rise of COVID-19 cases, the impact of the same on mental health is not well known. AIM: This study aimed to evaluate the psychological impact of lockdown due to COVID-19 pandemic on the general public with an objective to assess the prevalence of depression, anxiety, perceived stress, well-being, and other psychological issues. MATERIALS AND METHODS: It was an online survey conducted under the aegis of the Indian Psychiatry Society. Using the Survey Monkey platform, a survey link was circulated using the Whatsapp. The survey questionnaire included perceived stress scale, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Warwick-Edinburgh Mental Well-being Scale to assess perceived stress, anxiety, depression, and mental well-being, respectively. The survey link was circulated starting from April 6, 2020 and was closed on April 24, 2020. RESULTS: During the survey, a total of 1871 responses were collected, of which 1685 (90.05%) responses were analyzed. About two-fifth (38.2%) had anxiety and 10.5% of the participants had depression. Overall, 40.5% of the participants had either anxiety or depression. Moderate level of stress was reported by about three-fourth (74.1%) of the participants and 71.7% reported poor well-being. CONCLUSIONS: The present survey suggests that more than two-fifths of the people are experiencing common mental disorders, due to lockdown and the prevailing COVID-19 pandemic. This finding suggests that there is a need for expanding mental health services to everyone in the society during this pandemic situation.