Design of 3D-Printed Electronic Fiber Optic Sensor to Detect Rhodamine B Reagent: An Initiation to Potential Virus Detection.

A fluorescence device based on ultraviolet light is proposed in this paper, which currently stands at the design stage with the eventual aim to potentially detect virus/antibody fluorescence reactions. The designed device is proposed to have the characteristics of high reflectivity, low power consumption, wide spectrum of light source, and proper silver coating. For fabrication and raising product quality, 3D printing technology and a sputtering test will be used. In this connection, this paper firstly introduces the design sources; then, the ideas of inventing fluorescence detection devices based on ultraviolet light, followed by the data analysis as well as discussing the results of computer simulations. The design process, materials, methods, and experiments are demonstrated following the reality work procedure. Instead of directly using a virus or antibodies for the experiment, at the current design stage, we focus on using this device to detect the rhodamine B reagent. Experiment shows that this reagent can be successfully detected. With this achievement, we logically believe that such type of an ultraviolet optical sensor, with further development and testing, may have the possible value to detect a single virus such as COVID-19, as well as other viruses or small molecules. Though there is long way to go to achieve such a goal, future works experimenting with the detection device on real virus or antibodies can take place more efficiently with a good foundation.

Associations of COVID-19 online information sources and information overload with psychological distress symptoms: a population-based study.

Using information communication technologies as information sources of COVID-19 was associated with psychological problems, but mechanisms remain uncertain. We examined associations of COVID-19 information sources and information overload with psychological distress symptoms and explored the mediating effect of information overload in Hong Kong. A random sample of Chinese adults (N = 1501; 52.6% females; 55.0% aged 30-59) from dual landline and online surveys in April 2020 reported frequency of using traditional media, internet websites, social networking sites, instant messaging, and online discussion forums as COVID-19 information sources. Psychological distress symptoms were measured using the Patient Health Questionnaire 4-item ([PHQ-4]; 0-12). Information overload defined as a perception of being overwhelmed was measured (1-6). Linear regressions were performed to analyze the associations, and the mediating effect of information overload was examined. Greater PHQ-4 score was observed for frequent use of internet websites (adjusted b = 0.58, 95% CI 0.29, 0.87, adjusted ß = 0.12) and online discussion forums (adjusted b = 0.39, 95% CI 0.08, 0.70, adjusted ß = 0.08) and information overload (adjusted b = 0.54, 95% CI 0.44, 0.63, adjusted ß = 0.28). Information overload mediated 44.9% and 36.9% of associations of frequent use of internet websites and online discussion forums with PHQ-4 score, respectively. Frequent use of social networking sites was associated with lower PHQ-4 score (adjusted b = -0.37, 95% CI -0.69, -0.04, adjusted ß = -0.07) partially through lower information overload (37.5%). Psychological distress symptoms were associated with frequent use of internet websites and online discussion forums as COVID-19 information sources, which were mediated through information overload.

Socioeconomic Disparities in eHealth Literacy and Preventive Behaviors During the COVID-19 Pandemic in Hong Kong: Cross-sectional Study.

BACKGROUND: eHealth literacy can potentially facilitate web-based information seeking and taking informed measures. OBJECTIVE: This study aimed to evaluate socioeconomic disparities in eHealth literacy and seeking of web-based information on COVID-19, and their associations with COVID-19 preventive behaviors. METHODS: The COVID-19 Health Information Survey (CoVHIns), using telephonic (n=500) and web-based surveys (n=1001), was conducted among adults in Hong Kong in April 2020. The Chinese eHealth literacy scale (eHEALS; score range 8-40) was used to measure eHealth literacy. COVID-19 preventive behaviors included wearing surgical masks, wearing fabric masks, washing hands, social distancing, and adding water or bleach to the household drainage system. Adjusted beta coefficients and the slope indices of inequality for the eHEALS score by socioeconomic status, adjusted odds ratios (aORs) for seeking of web-based information on COVID-19 by socioeconomic status, and aORs for the high adherence to preventive behaviors by the eHEALS score and seeking of web-based information on COVID-19 were calculated. RESULTS: The mean eHEALS score was 26.10 (SD 7.70). Age was inversely associated with the eHEALS score, but education and personal income were positively associated with the eHEALS score and seeking of web-based information on COVID-19 (for all, P for trend<.05). Participants who sought web-based information on COVID-19 showed high adherence to the practice of wearing surgical masks (aOR 1.56, 95% CI 1.15-2.13), washing hands (aOR 1.33, 95% CI 1.05-1.71), social distancing (aOR 1.48, 95% CI 1.14-1.93), and adding water or bleach to the household drainage system (aOR 1.67, 95% CI 1.28-2.18). Those with the highest eHEALS score displayed high adherence to the practice of wearing surgical masks (aOR 3.84, 95% CI 1.63-9.05), washing hands (aOR 4.14, 95% CI 2.46-6.96), social distancing (aOR 2.25, 95% CI 1.39-3.65), and adding water or bleach to the household drainage system (aOR 1.94, 95% CI 1.19-3.16), compared to those with the lowest eHEALS score. CONCLUSIONS: Chinese adults with a higher socioeconomic status had higher eHealth literacy and sought more web-based information on COVID-19; both these factors were associated with a high adherence to the guidelines for preventive behaviors during the COVID-19 pandemic.