COVID-19 Prediction With Machine Learning Technique From Extracted Features of Photoplethysmogram Morphology.

At present, COVID-19 is spreading widely around the world. It causes many health problems, namely, respiratory failure and acute respiratory distress syndrome. Wearable devices have gained popularity by allowing remote COVID-19 detection, contact tracing, and monitoring. In this study, the correlation of photoplethysmogram (PPG) morphology between patients with COVID-19 infection and healthy subjects was investigated. Then, machine learning was used to classify the extracted features between 43 cases and 43 control subjects. The PPG data were collected from 86 subjects based on inclusion and exclusion criteria. The systolic-onset amplitude was 3.72% higher for the case group. However, the time interval of systolic-systolic was 7.69% shorter in the case than in control subjects. In addition, 12 out of 20 features exhibited a significant difference. The top three features included dicrotic-systolic time interval, onset-dicrotic amplitude, and systolic-onset time interval. Nine features extracted by heatmap based on the correlation matrix were fed to discriminant analysis, k-nearest neighbor, decision tree, support vector machine, and artificial neural network (ANN). The ANN showed the best performance with 95.45% accuracy, 100% sensitivity, and 90.91% specificity by using six input features. In this study, a COVID-19 prediction model was developed using multiple PPG features extracted using a low-cost pulse oximeter.

COVID-19 Prediction With Machine Learning Technique From Extracted Features of Photoplethysmogram Morphology

At present, COVID-19 is spreading widely around the world. It causes many health problems, namely, respiratory failure and acute respiratory distress syndrome. Wearable devices have gained popularity by allowing remote COVID-19 detection, contact tracing, and monitoring. In this study, the correlation of photoplethysmogram (PPG) morphology between patients with COVID-19 infection and healthy subjects was investigated. Then, machine learning was used to classify the extracted features between 43 cases and 43 control subjects. The PPG data were collected from 86 subjects based on inclusion and exclusion criteria. The systolic-onset amplitude was 3.72% higher for the case group. However, the time interval of systolic-systolic was 7.69% shorter in the case than in control subjects. In addition, 12 out of 20 features exhibited a significant difference. The top three features included dicrotic-systolic time interval, onset-dicrotic amplitude, and systolic-onset time interval. Nine features extracted by heatmap based on the correlation matrix were fed to discriminant analysis, k-nearest neighbor, decision tree, support vector machine, and artificial neural network (ANN). The ANN showed the best performance with 95.45% accuracy, 100% sensitivity, and 90.91% specificity by using six input features. In this study, a COVID-19 prediction model was developed using multiple PPG features extracted using a low-cost pulse oximeter.

Psychological Distress and COVID-19 Related Anxiety among Malaysian Women during the COVID-19 Pandemic.

The combination of COVID-19 outbreaks and nationwide lockdown led to an increased prevalence of psychological distress among the population, especially women, as they have to cope with greater family and work demands. We aimed to identify the factors contributing to psychological distress among Malaysian women during the COVID-19 pandemic. A cross-sectional study was conducted between October 2020 and April 2021, in a teaching hospital in Kuala Lumpur, Malaysia. A self-administered questionnaire was distributed among women, which consisted of (1) Participant's demographics, (2) COVID-19 knowledge and awareness, (3) Depression, Anxiety, Stress Scale-21 (DASS-21), and (4) COVID-19-related anxiety. Chi-square test and univariate analysis were performed to determine the significant factors associated with psychological distress. The mean scores for knowledge, COVID-19 anxiety, and DASS-21 subcomponents were compared using the Mann-Whitney U test. A total of three hundred and thirty-eight women completed the survey. The majority of respondents demonstrated adequate knowledge (95.6%) on COVID-19. The proportion of our women who reported symptoms of depression, anxiety, and stress were 17.2%, 25.1%, and 0.9%, respectively, resulting in a prevalence of psychological distress of 27.8%. Low education level (p = 0.017), unemployment (p = 0.028), loss of income (p = 0.033), and hospital admission for surgical procedures (p = 0.021) were significantly associated with a higher psychological burden. A greater level of COVID-19 anxiety was found among Malays (p = 0.027), pregnant women (p = 0.013), and those who suffered a loss of income (p = 0.038) during this pandemic. The COVID-19 pandemic had a negative effect on women's psychological wellbeing, especially those from the lower socio-economic background. Therefore, adequate information, as well as support, must be provided to the vulnerable groups during the ongoing pandemic, to lessen their psychological burden.

Pregnancy and COVID-19 Pandemic Perception in Malaysia: A Cross-Sectional Study.

Pregnant women are susceptible to COVID-19 complications due to gestation-related physiological changes. We aimed to evaluate the level of maternal knowledge, perception, and practice during the pandemic. A cross-sectional study was conducted during the Malaysian Movement Control Order (MCO) between April and June 2020. A self-administered electronic questionnaire that included the knowledge and practice domains was distributed. A newly designed set of questions was used to evaluate (1) women's perception of MCO and (2) maternal experience, which was subdivided into clinical care provision and maternal anxiety. The survey response rate was 93% with the final number for analysis of 415. The majority of women (95%) demonstrated an adequate level of knowledge on COVID-19, whilst 99% had a good practice. We found that tertiary education (p < 0.001), employment status (p = 0.03), higher household income (p < 0.001), and multiple sources of information (p < 0.001) were independent predictors of adequate maternal knowledge on COVID-19. Women with adequate knowledge also reported a more positive perception of MCO (p < 0.001) and better obstetric care experience (p = 0.037), as did those of Malay ethnicity. Younger (p < 0.001) and nulliparous (p = 0.01) women demonstrated greater anxiety levels. The majority of our women reported good practice and adequate knowledge, which contributed to a positive perception of MCO and better maternal obstetric experience. First-time mothers may benefit from extra support and reassurance during the pandemic to alleviate maternal anxiety.

Depression and Suicidal Ideation in a Sample of Malaysian Healthcare Workers: A Preliminary Study During the COVID-19 Pandemic.

Objective: The burden of suicidal behavior is anticipated to increase as a sequela of the COVID-19 pandemic. However, there is limited evidence on suicidal behavior among healthcare workers, an at-risk population. Our study aimed to investigate suicidal ideation in terms of the rate and associated factors in a sample of Malaysian healthcare workers during the early-phase of the COVID-19 pandemic. Methods: A subpopulation analysis (N = 171) was conducted within a larger, nation-wide cross-sectional study of Malaysian healthcare worker psychological distress from March 18-21, 2020. Current suicidal ideation was measured with item 9 of the Patient Health Questionnaire-9 (PHQ-9). The following independent variables were assessed: socio-demographic profile, occupation and service-related factors, health-anxiety (Health Anxiety Inventory, HAI), lifetime anxiety disorder and severity of depression (PHQ-9). Results: The proportion of healthcare workers with current suicidal ideation (19/171) and clinical depression (17/171) were 11.1 and 9.9%, respectively. Multivariable analysis showed that clinical depression was the most significant factor associated with current suicidal ideation (p < 0.001, OR = 55.983, 95% CI = 9.015-347.671) followed by mild (subthreshold) depression (p = 0.001, OR = 115.984, 95% CI = 2.977-85.804). Service duration of more than 10 years was associated with significantly less suicidal ideation (p = 0.049, OR = 0.072, 95% CI = 0.005-0.993). Conclusions: Depression (subthreshold and especially within the clinical range) and early-career status (<10 years in service) may be target areas of early intervention for reduction of suicidal ideation amongst healthcare workers who have served during the COVID-19 pandemic. Further research is warranted to elucidate specific occupational stressors related to COVID-19 work conditions to tailor appropriate suicide preventive strategies in this population.

Rapid response and public health measures of COVID-19 infection among asian countries

Objective: The spread of COVID-19 disease which had been declared as pandemic on 11th March 2020 currently already affected 212 countries around the world. Thus, the prevention and control measures are being established at national level thru the combined action of containment and mitigation. The aim of this study, to summarize on the rapid response and the public health measure among the Asian countries. Method: A systematic search was conducted using PubMed and Web of Science which is published in advanced of 29th April 2020. The keywords search used 'Rapid response' OR 'public health measures' OR 'public health policies' OR 'preventive measures' AND 'Coronavirus Disease 2019' OR 'COVID-19 ' OR 'novel coronavirus' OR 'SARS-COV2'. The inclusion criteria were English language articles with the availability of full text. Results: There were 43 articles included in this review. Eleven main domains were identified as the public health measures done among the Asian countries, which are screening, quarantine, isolation, contact tracing, repeated sampling, personal protective equipment, personal hygiene and symptom-based screening, social distancing, movement control, border control and disinfection at public places. Conclusion: The rapid response and public health measures are different from one another of these Asian Countries. Thus, which of the prevention and control are effective and feasible can be applied to the other countries in controlling the spread of COVID-19 disease.