Active and prompt scale-up screening tests are essential to efficiently control the coronavirus disease 2019 (COVID-19) outbreak. The goal of this work was to identify shortcomings in the conventional screening system (CSS) implemented in the beginning of the outbreak. To overcome these shortcomings, we then introduced a novel, independently developed system called the Yeungnam University type drive-through (YU-Thru), and distributed it nationwide in Korea. This system is similar to the drive-throughs utilized by fast food restaurants. YU-Thru system has shortened the time taken to test a single person to 2–4 minutes, by completely eliminating the time required to clean and ventilate the specimen collection room. This time requirement was a major drawback of the CSS. YU-Thru system also reduced the risk of subjects and medical staff infecting one another by using a separate and closed examination system. On average, 50 to 60 tests were conducted per day when using the CSS, while now up to 350 tests per day are conducted with the YU-Thru system. We believe that the YU-Thru system has made an important contribution to the rapid detection of COVID-19 in Daegu, South Korea. Here, we will describe the YU-Thru system in detail so that other countries experiencing COVID-19 outbreaks can take advantage of this system.

Background: Screening for diabetic peripheral neuropathy (DPN) is important to prevent severe foot complication, but the detection rate of DPN is unsatisfactory. We investigated whether SUDOSCAN combined with Michigan Neuropathy Screening Instrument (MNSI) could be an effective tool for screening for DPN in people with type 2 diabetes mellitus (T2DM) in clinical practice. Methods: We analysed the data for 144 people with T2DM without other cause of neuropathy. The presence of DPN was confirmed according to the Toronto Consensus criteria. Electrochemical skin conductance (ESC) of the feet was assessed using SUDOSCAN. We compared the discrimination power of following methods, MNSI only vs. SUDOSCAN only vs. MNSI plus SUDOSCAN vs. MNSI plus 10-g monofilament test. Results: Confirmed DPN was detected in 27.8% of the participants. The optimal cut-off value of feet ESC to distinguish DPN was 56 μS. We made the DPN screening scores using the corresponding odds ratios for MNSI-Questionnaire, MNSI-Physical Examination, SUDOSCAN, and 10-g monofilament test. For distinguishing the presence of DPN, the MNSI plus SUDOSCAN model showed higher areas under the receiver operating characteristic curve (AUC) than MNSI only model (0.717 vs. 0.638, P=0.011), and SUDOSCAN only model or MNSI plus 10-g monofilament test showed comparable AUC with MNSI only model. Conclusion The screening model for DPN that includes both MNSI and SUDOSCAN can detect DPN with acceptable discrimination power and it may be useful in Korean patients with T2DM.

Background: Health information should be accurate and of high quality. While search websites are widely used to obtain health information, search results can vary depending on the availability of information in each language and the algorithms of search websites. We compared the search results and their reliability on popular search websites in Korea and the United States. Methods: Using the most popular search websites in Korea (A) and the US (B), with B divided into KR and US domains, we evaluated the search results for three diseases (hypertension, diabetes, osteoporosis) and two medications (Lipitor, Norvasc). We compared the proportion of paid ads and website categories, as well as quality and accuracy using a validated scoring tool. Results: Search website A had a high proportion of paid ads (40.3%), compared to B KR (4.3%) and B US (0%). B US had the highest proportion of reliable websites (58.1%), followed by B KR (52.9%) and A (14.6%). B US had the highest median quality score (25) while A had the lowest (14).Additionally, B US had the highest accuracy (95%), followed by B KR (87.7%) and A (52.2%). Conclusions Our data suggest that health information provided by popular search website in Korea is inaccurate and of low quality compared with that provided by its counterpart in the US. Users should prioritize credible websites, be cautious of ads, and seek professional advice. In addition, jointefforts from the government, search websites, and healthcare professionals are needed to provide accurate online health information.

Background: Health information should be accurate and of high quality. While search websites are widely used to obtain health information, search results can vary depending on the availability of information in each language and the algorithms of search websites. We compared the search results and their reliability on popular search websites in Korea and the United States. Methods: Using the most popular search websites in Korea (A) and the US (B), with B divided into KR and US domains, we evaluated the search results for three diseases (hypertension, diabetes, osteoporosis) and two medications (Lipitor, Norvasc). We compared the proportion of paid ads and website categories, as well as quality and accuracy using a validated scoring tool. Results: Search website A had a high proportion of paid ads (40.3%), compared to B KR (4.3%) and B US (0%). B US had the highest proportion of reliable websites (58.1%), followed by B KR (52.9%) and A (14.6%). B US had the highest median quality score (25) while A had the lowest (14).Additionally, B US had the highest accuracy (95%), followed by B KR (87.7%) and A (52.2%). Conclusions Our data suggest that health information provided by popular search website in Korea is inaccurate and of low quality compared with that provided by its counterpart in the US. Users should prioritize credible websites, be cautious of ads, and seek professional advice. In addition, jointefforts from the government, search websites, and healthcare professionals are needed to provide accurate online health information.

Background: Health information should be accurate and of high quality. While search websites are widely used to obtain health information, search results can vary depending on the availability of information in each language and the algorithms of search websites. We compared the search results and their reliability on popular search websites in Korea and the United States. Methods: Using the most popular search websites in Korea (A) and the US (B), with B divided into KR and US domains, we evaluated the search results for three diseases (hypertension, diabetes, osteoporosis) and two medications (Lipitor, Norvasc). We compared the proportion of paid ads and website categories, as well as quality and accuracy using a validated scoring tool. Results: Search website A had a high proportion of paid ads (40.3%), compared to B KR (4.3%) and B US (0%). B US had the highest proportion of reliable websites (58.1%), followed by B KR (52.9%) and A (14.6%). B US had the highest median quality score (25) while A had the lowest (14).Additionally, B US had the highest accuracy (95%), followed by B KR (87.7%) and A (52.2%). Conclusions Our data suggest that health information provided by popular search website in Korea is inaccurate and of low quality compared with that provided by its counterpart in the US. Users should prioritize credible websites, be cautious of ads, and seek professional advice. In addition, jointefforts from the government, search websites, and healthcare professionals are needed to provide accurate online health information.

Background: Health information should be accurate and of high quality. While search websites are widely used to obtain health information, search results can vary depending on the availability of information in each language and the algorithms of search websites. We compared the search results and their reliability on popular search websites in Korea and the United States. Methods: Using the most popular search websites in Korea (A) and the US (B), with B divided into KR and US domains, we evaluated the search results for three diseases (hypertension, diabetes, osteoporosis) and two medications (Lipitor, Norvasc). We compared the proportion of paid ads and website categories, as well as quality and accuracy using a validated scoring tool. Results: Search website A had a high proportion of paid ads (40.3%), compared to B KR (4.3%) and B US (0%). B US had the highest proportion of reliable websites (58.1%), followed by B KR (52.9%) and A (14.6%). B US had the highest median quality score (25) while A had the lowest (14).Additionally, B US had the highest accuracy (95%), followed by B KR (87.7%) and A (52.2%). Conclusions Our data suggest that health information provided by popular search website in Korea is inaccurate and of low quality compared with that provided by its counterpart in the US. Users should prioritize credible websites, be cautious of ads, and seek professional advice. In addition, jointefforts from the government, search websites, and healthcare professionals are needed to provide accurate online health information.

Background: This study aimed to investigate the association between e-cigarette (EC) use and development of acute severe pneumonia in the Korean population using a national database. Methods: We conducted a retrospective analysis using linkage of data between the Korean National Health and Nutrition Examination Survey (KNHANES) and the National Health Insurance Service (NHIS) administrative claims database. The primary endpoint of this study was development of severe pneumonia requiring hospital admission according to EC use during the study period. The secondary endpoints were in-hospital mortality, intensive care unit (ICU) admission, ventilator care, and days of hospital stay. Results: The final analysis included 28,950 individuals, of which 578 (2.0%) were EC users.EC users were younger and more often male than non-EC users. The EC users showed higher level of education and household income and had fewer comorbidities. Severe pneumonia was noted in 37 of 28,372 non-EC users (0.13%), but there were no occurrences of severe pneumonia in EC users. The incidence of pneumonia occurrence was not different between the two groups (P = 1.000). Conclusions Since e-cigarette or vaping use-associated lung injury (EVALI) is most likely included in acute severe pneumonia occurring within 3 months of EC use, it is considered that there might be no EVALI patients in Korea during the investigation period. A large-scale, prospective study is necessary to evaluate the association between EC use and acute lung injury.