Objective Little is known about COVID-19 vaccination intentions among refugee communities in the United States. The objective of this study was to measure COVID-19 vaccination intentions among a sample of refugees in the United States and the reasons for their vaccine acceptance or hesitancy. Methods From December 2020 through January 2021, we emailed or text messaged anonymous online surveys to 12 bilingual leaders in the Afghan, Bhutanese, Somali, South Sudanese, and Burmese refugee communities in the United States. We asked community leaders to complete the survey and share the link with community members who met the inclusion criteria (arrived in the United States as refugees, were aged ≥18, and currently lived in the United States). We compared the characteristics of respondents who intended to receive the COVID-19 vaccine with those of respondents who did not intend to receive the vaccine or were unsure. We then conducted crude and adjusted logistic regression analysis to measure the association between employment as an essential worker and COVID-19 vaccine acceptance. Results Of 435 respondents, 306 (70.3%) indicated that they planned to receive a COVID-19 vaccine. Being an essential worker (adjusted odds ratio [aOR] = 2.37; 95% CI, 1.44-3.90) and male sex (aOR = 1.87; 95% CI, 1.12-3.12) were significantly associated with higher odds of intending to receive a COVID-19 vaccine. Among respondents who intended to receive a COVID-19 vaccine, wanting to protect themselves (68.6%), family members (65.0%), and other people (54.3%) were the main reasons. Conclusion Many refugees who responded to the survey, especially those who worked in essential industries, intended to receive a COVID-19 vaccine. Community organizations, health care providers, and public health agencies should work together to ensure that vaccine registration and vaccination sites are accessible to refugees.

Since early 2020, the whole world has been facing the deadly and highly contagious disease named coronavirus disease (COVID-19) and the World Health Organization declared the pandemic on 11 March 2020. Over 23 million positive cases of COVID-19 have been reported till late August 2020. Medical images such as chest X-rays and Computed Tomography scans are becoming one of the main leading clinical diagnosis tools in fighting against COVID-19, underpinned by Artificial Intelligence based techniques, resulting in rapid decision-making in saving lives. This article provides an extensive review of AI-based methods to assist medical practitioners with comprehensive knowledge of the efficient AI-based methods for efficient COVID-19 diagnosis. Nearly all the reported methods so far along with their pros and cons as well as recommendations for improvements are discussed, including image acquisition, segmentation, classification, and follow-up diagnosis phases developed between 2019 and 2020. AI and machine learning technologies have boosted the accuracy of Covid-19 diagnosis, and most of the widely used deep learning methods have been implemented and worked well with a small amount of data for COVID-19 diagnosis. This review presents a detailed mythological analysis for the evaluation of AI-based methods used in the process of detecting COVID-19 from medical images. However, due to the quick outbreak of Covid-19, there are not many ground-truth datasets available for the communities. It is necessary to combine clinical experts’ observations and information from images to have a reliable and efficient COVID-19 diagnosis. This paper suggests that future research may focus on multi-modality based models as well as how to select the best model architecture where AI can introduce more intelligence to medical systems to capture the characteristics of diseases by learning from multi-modality data to obtain reliable results for COVID-19 diagnosis for timely treatment .

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BackgroundHPV vaccine studies in East African communities are few and focus mainly on Somali women and girls. We examined how HPV vaccine perceptions and uptake are shaped among Somali, Ethiopian, and Eritrean mothers.MethodsWe convened three focus groups in Somali, Amharic, and Tigrinya with mothers of 11–17 year old children. The Socio-Context Framework (social, cultural, and religious factors) and Andersen's Behavioral Model (predisposing, enabling, and need for care factors) informed question development.ResultsNegative vaccine perceptions, lack of HPV vaccine knowledge, and concerns about side effects emerged as predisposing factors. Having a provider who engages parents on HPV vaccination and takes responsibility for vaccine-related risks emerged as enabling factors. Availability of vaccine information resources (e.g., person-to-person, word of mouth education for parents) were also enabling factors. Need for care factors included having comprehensive vaccine information, strong recommendation from a doctor, and validation from a co-ethnic medical professional. Women exerted strong social influence on vaccine uptake (social), had concerns about pork gelatin in vaccines (religious), and felt discussions about sex with children were culturally unacceptable (cultural).ConclusionStrategies for vaccine uptake among East African immigrants need to address factors that shape HPV vaccine perceptions for adolescents, caregivers, and providers.

As surface-enhanced Raman scattering (SERS) has been used to diagnose several respiratory viruses (e.g., influenza A virus subtypes such as H1N1 and the new coronavirus SARS-CoV-2), SERS is gaining popularity as a method for diagnosing viruses at the point-of-care. Although the prior and quick diagnosis of respiratory viruses is critical in the outbreak of infectious disease, ELISA, PCR, and RT-PCR have been used to detect respiratory viruses for pandemic control that are limited for point-of-care testing. SERS provides quantitative data with high specificity and sensitivity in a real-time, label-free, and multiplex manner recognizing molecular fingerprints. Recently, the design of Raman spectroscopy system was simplified from a complicated design to a small and easily accessible form that enables point-of-care testing. We review the optical design (e.g., laser wavelength/power and detectors) of commercialized and customized handheld Raman instruments. As respiratory viruses have prominent risk on the pandemic, we review the applications of handheld Raman devices for detecting respiratory viruses. By instrumentation and commercialization advancements, the advent of the portable SERS device creates a fast, accurate, practical, and cost-effective analytical method for virus detection, and would continue to attract more attention in point-of-care testing.

Stimulated devices are highly demanded for actuators and artificial muscles in the recent era but susceptible to low deformation at an applied voltage. In the present work, ionic liquids (ILs) based gel films were prepared from the polyvinyl chloride (PVC), dibutyl adipate (DBA), 1-butyl, 3-methimidazolium chloride, and 1-pentyl-3-methylimidazolium hexafluorophosphate by a simple solvent evaporation method. The structural, morphological, optical, and mechanical properties of the composite PVC/ILs gel were characterized by Fourier-transform infrared spectroscopy (FTIR), Large Angle X-ray scattering (LAXS), UV-visible (UV-vis) absorption spectroscopy, scanning electron micrpscopy (SEM) and elemental mapping. We found that the displacement of plasticized PVC gels-based actuator was 0.1 mm with the response time of 0.33 s at an induced voltage of 1000 V. The loading of 0.02% of IL (fluorides) with PVC gel showed maximum deformation of 0.16 mm with a relatively rapid response time of 0.2 s. These high deformation and response time values of IL fluoride-based gels are dramatically higher than reported PVC gels. Likewise, the loading of IL fluorides in the PVC gel showed a high elongation value at the break of about 377%. This work suggests that the flexible gel based on IL fluorides and PVC could be a potential candidate for the fabrication of highperformance artificial muscles and tunable soft actuators.

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Objective 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. Methods 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. Results 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). Conclusions 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.