ARTICLE | doi:10.20944/preprints202007.0054.v1
Subject: Social Sciences, Other Keywords: COVID-19; Knowledge; Perception of Risk; Pandemic Outbreak; Disease Control; Cross-sectional Study
Online: 5 July 2020 (08:10:36 CEST)
COVID-19 is an infectious disease spreading through human touch. This study explored the risk perception and knowledge towards COVID-19 infection among Bangladeshi adult participants. Two self-administered online surveys were administered at two different time points from 26-31 March 2020 (Early lockdown) and 11-16 May 2020 (Late lockdown) through social media on 1005 respondents (322 and 683 participants, respectively) during COVID-19 lockdown period in Bangladesh. Univariate and multiple linear regression models were used to examine factors associated with risk perception and knowledge towards COVID-19. The mean knowledge (8.4 vs. 8.1, P=0.022) and risk perception (11.2 vs. 10.6, P < 0.001) scores differ significantly between early and late lockdown. Compared to the early lockdown period, the scores for perceived risk of contracting COVID-19 decreased significantly while public knowledge about COVID-19 was lower but not statistically significant. Female participants who practiced high quarantine particularly those who did so at the public health order during the lockdown reported increased knowledge towards the spread of COVID-19 and perceived high risk of contracting COVID-19. Education intervention using awareness to increase public knowledge and perception towards COVID-19 in Bangladesh should target male participants who practiced low quarantine and are less worried about the spread of such novel coronavirus even as the physical distancing persists.
ARTICLE | doi:10.20944/preprints202007.0051.v1
Subject: Social Sciences, Library & Information Science Keywords: COVID-19; WHO; database; systematic review; data quality; data
Online: 5 July 2020 (07:07:57 CEST)
A large number of COVID-19 publications has created a need to collect all research-related material in centralized databases. Generating and maintaining such databases regularly, while preserving the quality of the content is challenging, especially considering that the bibliometric databases rely on different data categorization strategies. In this short article, we investigate the functionality and quality of the WHO, PubMed and Scopus databases with a focus on missing values and duplicate entries related to COVID-19. Even though the WHO database is compiled from multiple sources, we conclude that using only the WHO database is not satisfactory as a lot of articles are still available exclusively in other databases. In addition to that, a more careful investigation revealed significant quality problems with all databases in terms of missing values, and many duplicate entries in the WHO database.