ABSTRACT
This study aims to investigate the health-related quality of life and coping strategies among COVID-19 survivors in Bangladesh. MethodsThis is a cross-sectional study of 2198 adult, COVID-19 survivors living in Bangladesh. Data were collected from previously diagnosed COVID-19 participants (confirmed by an RT-PCR test) via door-to-door interviews in the eight different divisions in Bangladesh. For data collection, Bengali translated Brief COPE inventory and WHO Brief Quality of Life (WHO-QOLBREF) questionnaires were used. The data collection period was from June 2020 to March 2021. ResultsMales 72.38% (1591) were more affected by COVID-19 than females 27.62% (607). Age showed significant correlations (p<0.005) with physical, psychological and social relationships; whereas, gender showed only significant correlation with physical health (p<0.001). Marital status, occupation, living area, and co-morbidities showed significant co-relation with all four domains of QoL (p<0.001). Education and affected family members showed significant correlation with physical and social relationship (p<0.001). However, smoking habit showed significant correlations with both social relationship and environment (p<0.001). Age and marital status showed a significant correlation with avoidant coping strategy (p<0.001); whereas gender and co-morbidities showed significant correlation with problem focused coping strategies (p<0.001). Educational qualification, occupation and living area showed significant correlation with all three coping strategies (p<0.001). ConclusionSurvivors of COVID-19 showed mixed types of coping strategies; however, the predominant coping strategy was avoidant coping, followed by problem focused coping, with emotion focused coping reported as the least prevalent. Marital status, occupation, living area and co-morbidities showed a greater effect on QoL in all participants. This study represents the real scenario of nationwide health associated quality of life and coping strategy during and beyond the Delta pandemic.
ABSTRACT
Objectives@#During the coronavirus disease 2019 (COVID-19) pandemic, countries around the world framed specific laws and imposed varying degrees of lockdowns to ensure the maintenance of physical distancing. Understanding changes in temporal and spatial mobility patterns may provide insights into the dynamics of this infectious disease. Therefore, we assessed the efficacy of lockdown measures in 16 countries worldwide by analyzing the relationship between community mobility patterns and the doubling time of COVID-19. @*Methods@#We performed a retrospective record-based analysis of population-level data on the doubling time for COVID-19 and community mobility. The doubling time for COVID-19 was calculated based on the laboratory-confirmed cases reported daily over the study period (from February 15 to May 2, 2020). Principal component analysis (PCA) of six mobility pattern-related variables was conducted. To explain the magnitude of the effect of mobility on the doubling time, a finite linear distributed lag model was fitted. The k-means clustering approach was employed to identify countries with similar patterns in the significant co-efficient of the mobility index, with the optimal number of clusters derived using Elbow’s method. @*Results@#The countries analyzed had reduced mobility in commercial and social places. Reduced mobility had a significant and favorable association with the doubling time of COVID-19—specifically, the greater the mobility reduction, the longer the time taken for the COVID-19 cases to double. @*Conclusions@#COVID-19 lockdowns achieved the immediate objective of mobility reduction in countries with a high burden of cases.
