Most studies on COVID-19 preventive behaviors have focused on single-level factors such as national policy, community social capital, or individuals’ sociodemographic characteristics. Through a social-ecological model, this study attempts to comprehensively examine the multilevel factors associated with COVID-19 preventive practices in South Korea. Accordingly, a web survey involving 1,500 participants was conducted in December 2020. An ordinary least squares (OLS) regression was used to examine the multilevel factors (individual, interpersonal, community, and policy levels) related to COVID-19 preventive measures, which are based on wearing a mask, washing hands, covering the mouth when coughing or sneezing, and social distancing. When factors at each level were investigated, higher scores of COVID-19 fear and correct knowledge at the individual level, COVID-19 information share at the interpersonal level, and better evaluation of the national government policies in regard to COVID-19 at the policy level were positively associated with COVID-19 preventive behaviors. Community-level factors—neighborhood perception and community participation—were negatively significantly related to COVID-19 preventive behaviors. Additionally, older age, being female, and having a graduate-level education were positively related to better preventive behaviors. The findings of the current study suggest that multilevel efforts are needed to promote preventive behaviors. Specifically, more effort to alleviate COVID-19-related fear and disseminate correct knowledge among Korean citizens is needed as the individual-level characteristics explained the preventive behaviors more than the factors at upper levels.

To develop and evaluate an online continuing education (CE) course designed to improve healthcare provider self-efficacy to make strong adolescent HPV vaccine recommendations to East African immigrant families. Focus groups with providers and East African immigrant mothers informed course development. Providers serving East African immigrant families were recruited to view the course and complete pre-/post-test and two-month follow-up surveys. Pre-/post differences were compared with paired t-tests. 202 providers completed the course and pre-/post-test; 158 (78%) completed two-month follow-up. Confidence to make strong HPV vaccine recommendations to East African families increased from 68% pre-test to 98% post-test. Confidence to address common parental concerns also increased: safety, 54% pre-test, 92% post-test; fertility, 55% pre-test, 90% post-test; child too young, 68% pre-test, 92% post-test; and pork gelatin in vaccine manufacturing, 38% pre-test, 90% post-test. Two-month follow-up scores remained high (97% for overall confidence, 94%-97% for addressing parental concerns). All pre-/post-test and pre-test/two-month follow-up comparisons were statistically significant (p < 0.05). The online CE course focused on culturally appropriate strategies for making strong recommendations and addressing specific parental concerns was effective for increasing provider self-efficacy to recommend HPV vaccination to East African families. Similar courses could be tailored to other priority populations.

To support implementation strategies for upcoming influenza (flu) vaccinations for foreign-born and racial/ethnic minority groups, we analyzed the 2018 National Health Interview Survey (NHIS) database and performed logistic regression to examine the factors associated with, and the interaction between nativity and race/ethnicity in directing flu vaccination rates during the past 12 months (n = 25,045). As a result, we found nativity and race/ethnicity were associated with flu vaccination rates; foreign-born and non-Hispanic black respondents were less likely to take the vaccine than U.S.-born and non-Hispanic white respondents. The odds ratios were largest for the elderly, those working in the healthcare industry, those with health insurance, and those with a usual source of care (ORs = 3.058, 2.871, 2.317, and 2.342, respectively), suggesting that access to healthcare resources is critical for the uptake of the flu vaccine. There was a significant interaction effect between nativity and race/ethnicity. For improving flu vaccination rates, more support is necessary for foreign-born people and racial/ethnic minorities who have lower health insurance rates and usual sources of care than U.S.-born people and non-Hispanic whites, and thus are less able to adequately access healthcare resources in a timely manner.

Using digital technology to adapt to their host country is an integral part of social inclusion for migrant and refugee populations. However, researchers have not empirically examined how digital technology use may affect subjective well-being among migrant populations. This study aimed to examine the association between increased digital technology use, technological self-efficacy, and subjective well-being. Using the 2020 Digital Divide Survey in Korea, our sample consists of 6520 native South Koreans and 699 North Korean migrants aged 18 years and older. We examined the three-way interaction of technological self-efficacy and being North Korean migrants in the relationship between the increase in the use of five types of digital technology, technological self-efficacy, and subjective well-being, using hierarchical linear regressions. North Korean migrants were statistically lower than South Korean natives in all types of increased digital technology use. Moderation analysis showed that technological self-efficacy positively moderated the relationship between increased digital technology use and subjective well-being. A three-way interaction showed that this relationship was stronger in North Korean migrants for three types of utilization, networking, information sharing, and life services. A psychosocial approach needs to be taken to digital technology education for North Korean migrants, in light of the potential benefits of technological self-efficacy.

The current study attempts to compare anti-Asian discourse before and during the COVID-19 pandemic by analyzing big data on Quora, one of the most frequently used community-driven knowledge sites. We created two datasets regarding “Asians” and “anti-Asians” from Quora questions and answers between 2010 and 2021. A total of 1,477 questions and 5,346 answers were analyzed, and the datasets were divided into two time periods: before and during the COVID-19 pandemic. We conducted machine-learning-based topic modeling and deep-learning-based word embedding (Word2Vec). Before the pandemic, the topics of physical difference and racism were prevalent, whereas, after the pandemic, the topics of hate crime, the need to stop Asian hate crimes, and the need for the Asian solidarity movement emerged. Above all, the semantic similarity between Asian and Black people became closer, while the similarity between Asian people and other racial/ethnic groups was diminished. The emergence of negative and radical language, which increased saliently after the outbreak of the pandemic, and the considerably wider semantic distance between Asian and White people indicates that the relationship between the two races has been weakened. The findings suggest a long-term campaign or education system to reduce racial tensions during the pandemic.

This study aimed to understand healthcare utilization behavior among Korean international students in the U.S. Participants and methods: Seventeen Korean international students in New York City par...