Evaluation of COVID-19 Disease Awareness and Its Relation to Mental Health, Dietary Habits, and Physical Activity: A Cross-Sectional Study from Pakistan.

Coronavirus infection (COVID-19) has significantly increased the mortality and morbidity rates worldwide. The present study was conducted to assess the general public's awareness of COVID-19 and its association with mental health, dietary habits, and physical activity. A web-based survey was conducted to gather information about demographics, knowledge about COVID-19, dietary habits, mental health, and anthropometry among the general public of Pakistan. Descriptive statistics, chi-square test, and multiple logistic regression were used for data analysis. The majority of the participants were suffering from anxiety (71.0%) and depression (52.0%) during the COVID-19 pandemic; 32.4% of participants had poor COVID-19-related knowledge. COVID-19 lockdown reduced the physical activity of 66.9% of participants and increased weight of 38.8% of the survey participants. Demographic variables, including age, gender, ethnicity, education, employment, family type, and geographical location, were significantly associated with knowledge about COVID-19 (P < 0.05). Depression was inversely associated with COVID-19 knowledge (P < 0.05). Healthy changes in dietary habits including decreased consumption of fast foods, soft and cola drinks, fruit drinks, cooked meat (outside the home), sugar, and fats, and were associated with increased knowledge of COVID-19. Vitamin C and immunity-boosting supplement consumption were significantly associated with increased knowledge regarding COVID-19 (< 0.05). Inadequate knowledge about COVID-19 and the presence of anxiety and depression were found among most of the study participants. There is a need to conduct educational seminars to limit the health consequences resulting from COVID-19 lockdown.

Prediction of putative epitope-based vaccine against all corona virus strains for the Chinese population: Approach toward development of vaccine.

Currently, the whole world is facing the coronavirus disease-19 pandemic. As of now, approximately 0.15 million people around the globe are infected with the novel coronavirus. In the last decade, two strains of the coronavirus family, severe acute respiratory syndrome-related coronavirus and Middle East respiratory syndrome coronavirus, also resulted in epidemics in south Asian and the Middle Eastern countries with high mortality rate. This scenario demands the development of a putative vaccine which may provide immunity against all current and new evolving coronavirus strains. In this study, we designed an epitope-based vaccine using an immunoinformatic approach. This vaccine may protect against all coronavirus strains. The vaccine is developed by considering the geographical distribution of coronavirus strains and host genetics (Chinese population). Nine experimentally validated epitopes sequences from coronavirus strains were used to derive the variants considering the conservancy in all strains. Further, the binding affinities of all derived variants were checked with most abundant human leukocyte antigen alleles in the Chinese population. Three major histocompatibility complex (MHC) Class I epitopes from spike glycoprotein and nucleoprotein showed sufficient binding while one MHC Class II epitope from spike glycoprotein was found to be an effective binder. A cocktail of these epitopes gave more than 95% population coverage in the Chinese population. Moreover, molecular dynamics simulation supported the aforementioned predictions. Further, in vivo studies are needed to confirm the immunogenic potential of these vaccines.