Introduction: Prolonged COVID-19 pandemic with high morbidity and mortality may cause traumatic events to Healthcare Workers (HCW), resulting in Post-Traumatic Stress Disorder (PTSD) symptoms. Hence, this study aims to determine the prevalence of PTSD symptoms and its association with coping strategies among HCW in managing COVID-19 pandemic at Klang Valley Public Hospitals in Malaysia. Methods: A cross-sectional study with total of 424 eligible respondents were recruited through stratified random sampling. Data was collected from 6th May until 6th June 2021 using a self-administered online questionnaire adopted from MPCL-5 and Brief COPE instruments. IBM Statistical Package for Social Sciences Version 26 was used to analyse data. Result: 25% of the respondents demonstrated PTSD symptoms. Respondents who are single (aOR=3.319, 95% CI: 1.912, 5.762, p-value <0.001) and had history of positive COVID-19 (aOR= 2.563, 95% CI:1.058, 6.209, p-value=0.037) were more likely to experience PTSD symptoms. Frequently coping with self-blaming (aOR= 7.804, 95% CI: 3.467, 17.568, p-value < 0.001), behavioural disengagement (aOR= 7.262, 95% CI: 1.973, 26.723, p-value =0.003), humour (aOR= 5.303, 95% CI: 1.754, 16.039, p-value =0.003), venting emotion (aOR= 3.287, 95% CI: 1.521, 7.105, p-value =0.002) and less planning (aOR= 2.006, 95% CI:1.154, 3.487 p-value =0.014) are significant predictors for PTSD symptoms. Conclusion: One in four HCW managing COVID-19 in Klang Valley public hospitals experienced PTSD symptoms. Therefore, urgent interventional program targeting HCW who are single with history of positive COVID-19 is beneficial to prevent PTSD. Maladaptive coping strategies like self-blaming, venting emotion, humour and behavioural disengagement should be replaced with more adaptive coping strategies like planning, self-compassion, self-care and self-reflection.

Big data analytics (BDA) in digital health is critical for gaining the knowledge needed to make decisions, with Asia at the forefront of utilising this technology for the Coronavirus disease 2019 (COVID-19). This review aims to study how BDA was incorporated into digital health in managing the COVID-19 pandemic in six selected Asian countries, discuss its advantages and barriers and recommend measures to improve its adoption. A narrative review was conducted. Online databases were searched to identify all relevant literature on the roles of BDA in digital health for COVID-19 preventive and control measures. The findings showed that these countries had used BDA for contact tracing, quarantine compliance, outbreak prediction, supply rationing, movement control, information update, and symptom monitoring. Compared to conventional approaches, BDA in digital health plays a more efficient role in preventing and controlling COVID-19. It may inspire other countries to adopt this technology in managing the pandemic.