Epidemiological modeling of SARS-CoV-2 in white-tailed deer (Odocoileus virginianus) reveals conditions for introduction and widespread transmission (preprint)

Emerging infectious diseases with zoonotic potential often have complex socioecological dynamics and limited ecological data, requiring integration of epidemiological modeling with surveillance. Although our understanding of SARS-CoV-2 has advanced considerably since its detection in late 2019, the factors influencing its introduction and transmission in wildlife hosts, particularly white-tailed deer (Odocoileus virginianus), remain poorly understood. We use a Susceptible-Infected-Recovered-Susceptible epidemiological model to investigate the spillover risk and transmission dynamics of SARS-CoV-2 in wild and captive white-tailed deer populations across various simulated scenarios. We found that captive scenarios pose a higher risk of SARS-CoV-2 introduction from humans into deer herds and subsequent transmission among deer, compared to wild herds. However, even in wild herds, the transmission risk is often substantial enough to sustain infections. Furthermore, we demonstrate that the strength of introduction from humans influences outbreak characteristics only to a certain extent. Transmission among deer was frequently sufficient for widespread outbreaks in deer populations, regardless of the initial level of introduction. We also explore the potential for fence line interactions between captive and wild deer to elevate outbreak metrics in wild herds that have the lowest risk of introduction and sustained transmission. Our results indicate that SARS-CoV-2 could be introduced and maintained in deer herds across a range of circumstances based on testing a range of introduction and transmission risks in various captive and wild scenarios. Our approach and findings will aid One Health strategies that mitigate persistent SARS-CoV-2 outbreaks in white-tailed deer populations and potential spillback to humans.

MODELING OF ANTIBODY RESPONSE TO COVID-19 VACCINATIONS IN PATIENTS WITH RHEUMATOID ARTHRITIS

BackgroundUnderstanding the dynamics of humoral immunity after COVID-19 vaccination is crucial in developing vaccination strategies. Antibody response patterns are more complex in patients with rheumatoid arthritis (RA) because of their underlying autoimmunity and immunosuppressive medications. The kinetics of vaccine response in RA patients are not well understood.ObjectivesTo construct a model of antibody response to COVID-19 vaccination in patients with RA.MethodsTwo patient groups were included for the study. The first group was composed of RA patients who were enrolled for influenza vaccination study between Oct 6, 2021 and November 3, 2021, in whom serial serum samples were obtained 0, 4, 16 weeks after vaccination. The second group was consecutively enrolled from outpatient clinic between October 6, 2021 and June 3, 2022, in whom serum sample was obtained once. After collecting data on demographics, vaccination and infection history of COVID-19 were obtained by self-report via questionnaire and data from Korean center for disease control. We then measured antibody titers against receptor binding domain of spike protein (anti-RBD) and nucleocapsid (anti-N), using Chemiluminescence microparticle immunosaasy (Abbott, USA) and Electrochemiluminescence immunoassay (Roche, Germany) respectively. The anti-RBD titer was log-transformed to improve normality. Time from vaccination and log of anti-RBD titer was modeled using fractional polynomial. Covariates including age, sex, BMI, underlying disease and immunosuppressive drugs were analyzed using Generalized Estimating Equations to account for repeated measured from a subject.ResultsA total of 736 patients (1042 samples) were enrolled. After excluding patients who experienced COVID-19 infection before sampling (n=84), those unvaccinated (n=44) and uncertain COVID-19 infection history (n=59), the data on 778 samples from 549 patients were analyzed (Group 1: 125, Group 2: 424). Antibody titer reached peak at 12 days after vaccination and decreased exponentially (Figure 1) which fell to 36.5% from peak after 2 months. Compared to the first vaccination, the 3rd and 4th vaccination significantly shifted anti-RBD antibody response curve (28 times, 95% CI 4~195;32 times 95% CI 4~234, respectively). However, there was no significant shift after the 4th vaccination from the 3rd vaccination (p=0.6405). Multivariable analysis showed that number of vaccinations and sulfasalazine (coefficient: 0.40, 95% CI 0.12~0.68) increased vaccine response but age (coefficient: -0.03, 95% CI -0.04~-0.02), abatacept (coefficient: -2.07, 95% CI -3.30~-0.84) and, JAK inhibitor (coefficient: -0.82, 95% CI -1.34~-0.31) decreased vaccine response.ConclusionAnti-RBD response to COVID-19 vaccination showed a peak at 12 days after vaccination and then exponentially decreased in patient with RA. The antibody response is affected by age and medications used for the treatment of RA.Table 1.ln[RBD (U/ml)]coefficient (univariable)95% CIp-valuecoefficient (multivariable)95% CIp-valuesex (female)0.17-0.22, 0.550.393---age-0.02-0.03, -0.01<.001**-0.03-0.04, -0.02<.001**DM0.11-0.27, 0.500.568---HTN-0.38-0.69, -0.070.018*---CKD0.680.07, 1.290.030*---RA duration (yr)-0.04-0.06, -0.010.001**---Pd (mg/d)-0.06-0.11, 0.000.035*---MTX use-0.23-0.52, 0.050.105---HCQ use0.01-0.28, 0.290.965---SSZ use0.450.07, 0.840.022*0.400.12,0.680.005**LEF use0.00-0.37, 0.370.988---TNF inhibitors use0.29-0.16, 0.730.208---Abatacept use-2.07-3.14, -0.99<.001**-2.07-3.30, -0.840.001**JAK inhibitors use-0.88-1.52, -0.240.007**-0.82-1.34, -0.310.002**Time (months)log(t)-1.96-2.37, -1.54<.001**-1.90-2.29, -1.50<.001**t

Descriptive analysis of the incidence rate of postacute COVID-19 syndrome in the Republic of Korea Army.

Background: This study aimed to identify the incidence rate of post-coronavirus disease-2019 (COVID-19) conditions in the Republic of Korea (ROK) Army and to investigate the trend of the incidence rate according to changes in dominant variants. Method(s): We used the results of a 19-item, self-completed survey of those who had recovered from COVID-19 in the ROK Army between March 24, 2020, and April 30, 2022. We used both descriptive and multiple logistic regression analyses to identify factors associated with the incidence rate of post-COVID-19 conditions. Result(s): Among the total of 48,623 COVID-19 episodes in the ROK Army, the overall incidence rate of post-COVID-19 conditions was 32.9%. Based on the survey, the incidence of cough was the highest at 15.4%, followed by fatigue (15.1%) and sputum (13.8%). The delta variant had the highest incidence rate of post-COVID-19 conditions at 50.7%, whereas the omicron variant had the lowest at 19.7%. Concerning the type of post-COVID-19 condition, the neuropsychiatric symptoms had the highest incidence at 27.4% when the delta variant was dominant, and the respiratory symptoms were highest at 37.3% when the omicron variant was dominant. In the case of smell and taste symptoms, the incidence rate was high at 21.1% only when the delta variant was predominant. Conclusion(s): The overall incidence rate of post-COVID-19 conditions in the ROK Army was 32.9%. When the delta variant was dominant, the overall incidence as well as the proportion of neuropsychiatric symptoms were high. However, as the omicron variant became dominant, the overall incidence decreased, but the proportion of respiratory symptoms increased.Copyright © Korean Medical Association.

Lessons from on-line and off-line PBL in an engineering economics course under the Covid-19 pandemic

The application and effects of the project-based learning (PBL) model have been carried out in various majors and courses, and the results analysed in several studies. This study was focused on the Covid-19 pandemic period from 2020 to 2022 to discuss lessons and effects of applying an on-line and off-line PBL model to engineering economics courses for engineering students in 2021 and 2022 compared with a simple on-line course in 2020 without PBL. Project teams consisting of three-four students carried out on-line collaborative learning to solve open-ended problems through a four-step PBL procedure including presentation of the final result. Except for this PBL application in 2021 and 2022, textbooks, lecture contents, assignments and tests were implemented in the same way for each semester over these three years. Through lecture evaluation and a simple survey for students, the semesters with PBL showed higher effects in inducing student-led learning and lecture satisfaction compared to the semesters without it. Further, it was established that the PBL application to the course and the evaluation method were more appropriate than the approach in other semesters. It is expected that the PBL method and operation procedure outlined in this article could be utilised as a best practice for various on-line and mixed courses in student-led collaborative learning activities to achieve better educational effects and satisfaction. © WIETE 2023.

COVID-19 OUTCOMES IN KOREAN PATIENTS WITH GOUT

BackgroundPatients with autoimmune inflammatory rheumatic diseases are at higher risk for coronavirus disease (COVID)-19 hospitalization and worse clinical outcomes compared with the general population. However, data on the association between COVID-19 outcomes and gout, or gout-related medications are still lacking.ObjectivesWe aimed to compare COVID-19 related clinical outcomes in gout vs. non-gout patients.MethodsWe conducted a retrospective cohort study using the electronic health record-based databases of Seoul National University hospital (SNUH) from January 2021 to April 2022 mapped to a common data model. Patients with gout and without gout were matched using a large-scale propensity score (PS) algorithm. The clinical outcomes of interest were COVID-19 infection, severe COVID-19 outcomes defined as the use of mechanical ventilation, tracheostomy or extracorporeal membrane oxygenation, and death within 30 days of COVID-19 diagnosis. The hazard ratio (HR) for gout vs. non-gout patients derived by Cox proportional hazard models were estimated utilizing a 1:5 PS-matched cohort.Results2,683 patients with gout and 417,035 patients without gout were identified among the patients who visited SNUH. After 1:5 PS matching, 1,363 gout patients and 4,030 non-gout patients remained for the analysis. The risk of COVID-19 infection was not significantly different between patients with gout and those without gout (HR 1.07 [95% CI 0.59-1.84]). Within the first month after the COVID-19 diagnosis, there was also no significant difference in the risk of hospitalization (HR 0.57 [95% CI 0.03-3.90], severe COVID-19 outcomes (HR 2.90 [95% CI 0.54-13.71]), or death (HR 1.35 [95% CI 0.06-16.24]).ConclusionPatients with gout did not have an increased risk of COVID-19 infection or worse clinical outcomes. Updates of temporal trends of COVID-19 outcomes in gout patients are yet warranted as new SARS-CoV-2 variants emerge.References[1]Shin YH, et al. Autoimmune inflammatory rheumatic diseases and COVID-19 outcomes in South Korea: a nationwide cohort study. Lancet Rheumatol. 2021 Oct;3(10):e698-e706.[2]Topless RK, et al. Gout and the risk of COVID-19 diagnosis and death in the UK Biobank: a population-based study. Lancet Rheumatol. 2022 Apr;4(4):e274-e281.[3]Xie D, et al. Gout and Excess Risk of Severe SARS-CoV-2 Infection Among Vaccinated Individuals: A General Population Study. Arthritis Rheumatol.2023 Jan;75(1):122-132.Table 1.Clinical outcomes of COVID-19 infection in patients with goutOutcomesUnmatched populationPopulation with PS stratification using 10 strata1:5 PS matched populationHazard ratio (95% CI)p-valueHazard ratio (95% CI)p-valueHazard ratio (95% CI)p-valueCOVID-19 infection1.68 (1.03-2.57)0.031.20 (0.72-1.87)0.461.07 (0.59-1.84)0.82Hospitalization due to COVID-191.92 (0.32-6.05)0.391.63 (0.26-5.77)0.540.57 (0.03-3.90)0.66Severe COVID-19 infection4.72 (1.44-11.28)<0.014.22 (1.17-12.21)0.022.90 (0.54-13.71)0.20Death due to COVID-191.15 (0.07-5.18)0.900.77 (0.04-3.81)0.821.35 (0.06-16.24)0.84Acknowledgements:NIL.Disclosure of InterestsNone Declared.

The effect of pandemic-related stress on the decision-making process for individual outdoor leisure activities

This study investigates the decision-making process for outdoor leisure activities of the Chinese people in the context of COVID-19. An online survey of residents of Heilongjiang Province was conducted in September and October 2020. In total, 441 questionnaires were returned for empirical analysis. The results reveal that fears of contamination and compulsory checking/reassurance-seeking have had a significant impact on the respondents' goal-directed behavior for nature-based outdoor leisure activities during the pandemic. The theoretical contribution is that extended goal-directed behavior expands with the inclusion of emotional variables and can be used to predict individual outdoor activity intention and decision-making process in the COVID-19 situation relating to leisure. This study provides useful insights for public health ministries and local governments in any country to encourage nature-based outdoor leisure activities as a public health policy for the mental health of the people.

Enhancer deregulation inTET2-mutant clonal hematopoiesis is associated with increased COVID-19 severity and mortality

Background: COVID-19 causes significant morbidity and mortality, albeit with considerable heterogeneity among affected individuals. It remains unclear which host factors determine disease severity and survival. Given the propensity of clonal hematopoiesis (CH) to promote inflammation in healthy individuals, we investigated its effect on COVID-19 outcomes. Method(s): We performed a multi-omics interrogation of the genome, epigenome, transcriptome, and proteome of peripheral blood mononuclear cells from COVID-19 patients (n=227). We obtained clinical data, laboratory studies, and survival outcomes. We determined CH status and TET2-related DNA methylation. We performed single-cell proteogenomics to understand clonal composition in relation to cell phenotype. We interrogated single-cell gene expression in isolation and in conjunction with DNA accessibility. We integrated these multi-omics data to understand the effect of CH on clonal composition, gene expression, methylation of cis-regulatory elements, and lineage commitment in COVID-19 patients. We performed shRNA knockdowns to validate the effect of one candidate transcription factor in myeloid cell lines. Result(s): The presence of CH was strongly associated with COVID-19 severity and all-cause mortality, independent of age (HR 3.48, 95% CI 1.45-8.36, p=0.005). Differential methylation of promoters and enhancers was prevalent in TET2-mutant, but not DNMT3A-mutant CH. TET2- mutant CH was associated with enhanced classical/intermediate monocytosis and single-cell proteogenomics confirmed an enrichment of TET2 mutations in these cell types. We identified celltype specific gene expression changes associated with TET2 mutations in 102,072 single cells (n=34). Single-cell RNA-seq confirmed the skewing of hematopoiesis towards classical and intermediate monocytes and demonstrated the downregulation of EGR1 (a transcription factor important for monocyte differentiation) along with up-regulation of the lncRNA MALAT1 in monocytes. Combined scRNA-/scATAC-seq in 43,160 single cells (n=18) confirmed the skewing of hematopoiesis and up-regulation of MALAT1 in monocytes along with decreased accessibility of EGR1 motifs in known cis-regulatory elements. Using myeloid cell lines for functional validation, shRNA knockdowns of EGR1 confirmed the up-regulation of MALAT1 (in comparison to wildtype controls). Conclusion(s): CH is an independent prognostic factor in COVID-19 and skews hematopoiesis towards monocytosis. TET2-mutant CH is characterized by differential methylation and accessibility of enhancers binding myeloid transcriptions factors including EGR1. The ensuing loss of EGR1 expression in monocytes causes MALAT1 overexpression, a factor known to promote monocyte differentiation and inflammation. These data provide a mechanistic insight to the adverse prognostic impact of CH in COVID-19.

Home Visitation Program Staff Attitudes and Intentions Towards Using Digital Technology to Educate Families About Preventing Early Childhood Obesity: A Qualitative Study.

INTRODUCTION: Home visitation programs that reach families of young children offer a unique opportunity for large-scale early childhood obesity prevention efforts. The objective of this qualitative research was to determine stakeholder attitudes, subjective norms, perceived ease of use and usefulness, behavioral control, and behavioral intentions towards utilizing technology in a home visitation program targeting early childhood obesity prevention. METHODS: Staff from the Florida Maternal, Infant, and Early Childhood Home Visiting Program (n = 27) were interviewed individually by a trained research assistant using a semi-structured script based on constructs from the Technology Acceptance Model and Theory of Planned Behavior. Demographic and technology use information were collected. Interviews were recorded and transcribed verbatim, with data extracted and coded by two trained researchers using a theoretical thematic analysis approach. RESULTS: Most of the home visiting staff (78%) were white and non-Hispanic and employed for an average of 5 years with the program. Most staff (85%) indicated they were currently using videoconferencing for home visits. Themes and subthemes emerged, including positive attitudes towards technology as a flexible and time-efficient program alternative for childhood obesity prevention with recommendations to keep content short, at a low literacy level, and available in more than one language for ease of use. Participants recommended developing training tutorials to improve program implementation. Internet access and potential social disconnect were cited as concerns for using technology. DISCUSSION: Overall, home visitation staff had positive attitudes and intentions for using technology in home visiting programs with families for early childhood obesity prevention.

Descriptive analysis of the incidence rate of postacute COVID-19 syndrome in the Republic of Korea Army

Background: This study aimed to identify the incidence rate of post-coronavirus disease-2019 (COVID-19) conditions in the Republic of Korea (ROK) Army and to investigate the trend of the incidence rate according to changes in dominant variants. Method(s): We used the results of a 19-item, self-completed survey of those who had recovered from COVID-19 in the ROK Army between March 24, 2020, and April 30, 2022. We used both descriptive and multiple logistic regression analyses to identify factors associated with the incidence rate of post-COVID-19 conditions. Result(s): Among the total of 48,623 COVID-19 episodes in the ROK Army, the overall incidence rate of post-COVID-19 conditions was 32.9%. Based on the survey, the incidence of cough was the highest at 15.4%, followed by fatigue (15.1%) and sputum (13.8%). The delta variant had the highest incidence rate of post-COVID-19 conditions at 50.7%, whereas the omicron variant had the lowest at 19.7%. Concerning the type of post-COVID-19 condition, the neuropsychiatric symptoms had the highest incidence at 27.4% when the delta variant was dominant, and the respiratory symptoms were highest at 37.3% when the omicron variant was dominant. In the case of smell and taste symptoms, the incidence rate was high at 21.1% only when the delta variant was predominant. Conclusion(s): The overall incidence rate of post-COVID-19 conditions in the ROK Army was 32.9%. When the delta variant was dominant, the overall incidence as well as the proportion of neuropsychiatric symptoms were high. However, as the omicron variant became dominant, the overall incidence decreased, but the proportion of respiratory symptoms increased.Copyright © Korean Medical Association.

Descriptive analysis of the incidence rate of post-acute COVID-19 syndrome in the Republic of Korea Army

Background: This study aimed to identify the incidence rate of post-coronavirus disease-2019 (COVID-19) conditions in the Republic of Korea (ROK) Army and to investigate the trend of the incidence rate according to changes in dominant variants.Methods: We used the results of a 19-item, self-completed survey of those who had recovered from COVID-19 in the ROK Army between March 24, 2020, and April 30, 2022. We used both descriptive and multiple logistic regression analyses to identify factors associated with the incidence rate of post-COVID-19 conditions.Results: Among the total of 48,623 COVID-19 episodes in the ROK Army, the overall incidence rate of postCOVID-19 conditions was 32.9%. Based on the survey, the incidence of cough was the highest at 15.4%, followed by fatigue (15.1%) and sputum (13.8%). The delta variant had the highest incidence rate of postCOVID-19 conditions at 50.7%, whereas the omicron variant had the lowest at 19.7%. Concerning the type of post-COVID-19 condition, the neuropsychiatric symptoms had the highest incidence at 27.4% when the delta variant was dominant, and the respiratory symptoms were highest at 37.3% when the omicron variant was dominant. In the case of smell and taste symptoms, the incidence rate was high at 21.1% only when the delta variant was predominant.Conclusion: The overall incidence rate of post-COVID-19 conditions in the ROK Army was 32.9%. When the delta variant was dominant, the overall incidence as well as the proportion of neuropsychiatric symptoms were high. However, as the omicron variant became dominant, the overall incidence decreased, but the proportion of respiratory symptoms increased.

Analyzing the Intention of Sports Consumers' Purchase Behavior Through Online Sports Distributors

Purpose: The purpose of this study was to analyze Korean sports consumers' intention to stay using online sports products and services through online sports distribution platforms or return to using sports facilities and services in person. Research design, data and methodology: This study set up two models measuring consumers' recognition, attitude, and purchase intention toward online sports products and services based on involvement theory. An online survey was conducted and a total of 2,263 consumers participated in this study. Male participants were 1,256(55.5%) and female participants were 1,007(44.5%). Descriptive statistics were performed, and a path analysis was utilized to analyze the proposed model using SPSS 26 and SAS. Results: The results revealed two proposed models used in this study supported that consumers' online sports product and service recognition leads to a positive attitude toward online sports products and services. Moreover, consumers' positive online sports product and service attitudes were shown to lead to positive intentions to purchase online sports products and services. Conclusions: The findings revealed the recognition of consumers' online sports products and services led to positive attitudes and behavioral intentions. Implications were provided by suggesting the sports industry stick to developing online sports products and services until the endemic of COVID-19 is declared © Copyright: The Author(s)

Large libraries of single-chain trimer peptide-MHCs enable antigen-specific CD8+ T cell discovery and analysis.

The discovery and characterization of antigen-specific CD8+ T cell clonotypes typically involves the labor-intensive synthesis and construction of peptide-MHC tetramers. We adapt single-chain trimer (SCT) technologies into a high throughput platform for pMHC library generation, showing that hundreds can be rapidly prepared across multiple Class I HLA alleles. We use this platform to explore the impact of peptide and SCT template mutations on protein expression yield, thermal stability, and functionality. SCT libraries were an efficient tool for identifying T cells recognizing commonly reported viral epitopes. We then construct SCT libraries to capture SARS-CoV-2 specific CD8+ T cells from COVID-19 participants and healthy donors. The immunogenicity of these epitopes is validated by functional assays of T cells with cloned TCRs captured using SCT libraries. These technologies should enable the rapid analyses of peptide-based T cell responses across several contexts, including autoimmunity, cancer, or infectious disease.

Pasos Hacia La Salud II: study protocol for a randomized controlled trial of a theory- and technology-enhanced physical activity intervention for Latina women, compared to the original intervention.

BACKGROUND: Latinas are at increased risk for many lifestyle-related chronic diseases and are one of the least physically active populations in the US Innovative strategies are needed to help Latinas achieve the health benefits associated with physical activity (PA). This manuscript describes the study protocol of the Pasos Hacia La Salud II Study, which builds upon our previous research to test an enhanced individually-tailored, text-message and website-delivered, Spanish-language intervention (enhanced intervention), in comparison to the original web-based Pasos Hacia La Salud Intervention (original intervention). METHODS: Sedentary Latinas between the ages of 18-65 will be recruited and will complete an orientation and baseline assessments. Participants will be subsequently randomized to the original intervention, or the Enhanced Intervention, which has greater targeting of theoretical constructs such as self-efficacy, enjoyment, and social support, and which uses text messages and more dynamic and refined website features to encourage increased website use. Using a linear mixed effects regression model, we will simultaneously estimate the intervention effects on mean accelerometer-measured hours/week of moderate-to-vigorous PA (MVPA) at 6, 12, 18, and 24 months, with a subject-specific intercept (intent-to-treat sample). Change in self-reported MVPA, measured via the 7-day Physical Activity Recall, will be assessed as a secondary outcome using a similar model. We will investigate potential mediators of the intervention effect using a multiple mediation approach, and potential moderators by evaluating potential interactions. As an exploratory outcome, we will study the differences (among both study arms) in cost, in US dollars, per minute increases in weekly mean MVPA. DISCUSSION: The original Pasos PA intervention showed efficacy in helping Latinas increase PA; we expect the Enhanced Intervention to help a larger proportion of participants to increase and maintain their PA long term. This web- and text-based enhanced intervention could have great reach and dissemination potential, which could be capitalized on in the future to help to advance health equity. Adaptations made in response to the COVID-19 pandemic are also described in this manuscript. TRIAL REGISTRATION: Clinical Trial Number: NCT03491592 . First posted April 9, 2018.

Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking

During crises like COVID-19, individuals are inundated with conflicting and time-sensitive information that drives a need for rapid assessment of the trustworthiness and reliability of information sources and platforms. This parallels evolutions in information infrastructures, ranging from social media to government data platforms. Distinct from current literature, which presumes a static relationship between the presence or absence of trust and people's behaviors, our mixed-methods research focuses on situated trust, or trust that is shaped by people's information-seeking and assessment practices through emerging information platforms (e.g., social media, crowdsourced systems, COVID data platforms). Our findings characterize the shifts in trustee (what/who people trust) from information on social media to the social media platform(s), how distrust manifests skepticism in issues of data discrepancy, the insufficient presentation of uncertainty, and how this trust and distrust shift over time. We highlight the deep challenges in existing information infrastructures that influence trust and distrust formation.

Social Media Use and COVID-19 Vaccination Intent: An Exploratory Study on the Mediating Role of Information Exposure

We stumble upon new and repeating information daily. As information comes from many sources, social media continues to play a predominant role in disseminating information, ultimately impacting individuals' perceptions and behaviors. A prime example of this impact was observed during the COVID-19 pandemic, in which social media use was influencing willingness to receive the COVID-19 vaccine. While studies on this relationship between social media use and vaccination intent have been widely investigated, less is known about the mechanisms that link these two variables, specifically the types of information seen on social media platforms and the effects of these different types of information. In this exploratory study, we demonstrate the mediator role of information exposure (to include both types of information and frequency) between social media use and vaccination intent. Our results show that different types of information mediate this relationship differently and demonstrate how these relationships were further moderated by the income level of the participant. We conclude with the implications of these findings and how our findings can inform the direction of future research within the field of human-computer interaction.

Investigating Older Adults' Atitudes towards Crisis Informatics Tools: Opportunities for Enhancing Community Resilience during Disasters

The world population is projected to rapidly age over the next 30 years. Given the increasing digital technology adoption amongst older adults, researchers have investigated how technology can support aging populations. However, little work has examined how technology can support older adults during crises, despite increasingly common natural disasters, public health emergencies, and other crisis scenarios in which older adults are especially vulnerable. Addressing this gap, we conducted focus groups with older adults residing in coastal locations to examine to what extent they felt technology could support them during emergencies. Our fndings characterize participants' desire for tools that enhance community resilience-local knowledge, preparedness, community relationships, and communication, that help communities withstand disasters. Further, older adults' crisis technology preferences were linked to their sense of control, social relationships, and digital readiness. We discuss how a focus on community resilience can yield crisis technologies that more efectively support older adults.

Impaired Promis Physical Function in Idiopathic Inflammatory Myopathy Patients: Results from the Multicenter Covad Patient-Reported E-Survey

Background. Evaluation of physical function is fundamental in the management of idiopathic inflammatory myopathies (IIMs). Patient-Reported Outcome Measurement Information System (PROMIS) is a National Institute of Health initiative established in 2004 to develop patient-reported outcome measures with improved validity and efficacy. The present study aims to investigate the physical function status of IIM patients compared to those with non-IIM autoimmune diseases (AIDs) and healthy controls (HCs) utilizing PROMIS Physical Function (PF) data obtained in the coronavirus disease-2019 (COVID-19) Vaccination in Autoimmune Diseases (COVAD) study, a large-scale, international self-reported e-survey assessing the safety of COVID-19 vaccines in AID patients. Methods. The survey data regarding demographics, IIM and AID diagnosis, disease activity, fatigue and pain VAS, and PROMIS PF short form-10a were extracted from the COVAD study database. The disease activity (active vs inactive) of each patient was assessed in 3 different ways: (1) physician's assessment (active if there was increased immunosuppression), (2) patient's assessment (active vs inactive as per patient), and (3) current steroid use. These 3 definitions of disease activity were applied independently to each patient. PROMIS PF-10a scores were compared between each disease category (IIMs vs non-IIM AIDs vs HCs), stratified by disease activity based on the 3 definitions stated above, employing negative binomial regression model, and the predicted PROMIS PF-10a score adjusted for age, gender, and ethnicity was calculated. Factors affecting PROMIS PF-10a scores other than disease activity were identified by multivariable regression analysis in the patients with inactive disease (IIMs or non-IIM AIDs). The association between fatigue or pain VAS and PROMIS PF-10a scores was also assessed. Results. 1057 IIM patients, 3635 non-IIM AID patients, and 3981 HCs responded to the COVAD survey until August 2021. The median age of the respondents was 43 [IQR 30-56] years old, and 74.8% were female. Among IIM patients, dermatomyositis was the most prevalent diagnosis (34.8%), followed by inclusion body myositis (IBM) (23.6%), polymyositis (PM) (16.2%), anti-synthetase syndrome (11.8%), overlap myositis (7.9%), and immune-mediated necrotizing myopathy (IMNM) (4.6%). The predicted mean of PROMIS PF-10a scores was significantly lower in IIMs compared to non-IIM AIDs or HCs (36.3 [95% (CI) 35.5-37.1] vs 41.3 [95% CI 40.2-42.5] vs 46.2 [95% CI 45.8-46.6], p<0.001), irrespective of disease activity (Figure 1). The results were consistent across analyses using different disease activity definitions (physician's assessment, patient's assessment, and steroid use), while the largest difference between active IIMs and non-IIM AIDs was observed when the disease activity was defined by patient's assessment (35.0 [95% CI 34.1-35.9] vs 40.1 [95% CI 38.7-41.5]). Considering the subgroups of IIMs, the scores were significantly lower in IBM in comparison with non-IBM IIMs (p<0.001). The independent factors associated with low PROMIS PF-10a scores in the patients with inactive disease were older age, female gender, and the disease category being IBM, PM, or IMNM. Higher fatigue or pain VAS was associated with lower PROMIS PF-10a scores in each disease category (p<0.001), while the scores were still lower in IIMs compared to non-IIM AIDs even after being adjusted for fatigue and pain. Conclusion. Physical function is significantly impaired in IIMs compared to non-IIM AIDs or HCs, even in patients with inactive disease. The elderly, women, and IBM groups are the worst affected, suggesting that developing targeted strategies to minimize functional disability in certain groups may improve patient-reported physical function and disease outcomes.

Autoimmune multimorbidity and fatigue in women with idiopathic inflammatory myopathies: an international, patient-reported, e-survey

Background: Idiopathic inflammatory myopathies are a group of rare systemic autoimmune rheumatic diseases with substantial heterogeneity. We aimed to investigate gender differences in patient-reported outcomes and treatment regimens of people with idiopathic inflammatory myopathies. Method(s): This international, patient-reported, e-survey was conducted worldwide. We used data from the COVID-19 vaccination in autoimmune disease (COVAD) study, a large-scale, international, self-reported e-survey assessing the safety of COVID-19 vaccination in patients older than 18 years with autoimmune rheumatic diseases, including idiopathic inflammatory myopathies. The COVAD study was conducted in more than 80 health-care centres, including hospitals, clinics, and universities located in more than 50 countries worldwide and on social media platforms, such as Facebook and Twitter. The COVAD e-survey was open between April 1, 2021, and Dec 31, 2021. We extracted survey data regarding demographics;autoimmune rheumatic disease diagnosis;autoimmune multimorbidity (three or more autoimmune rheumatic disease diagnoses for each patient);current corticosteroid or immunosuppressant use;and patient-reported outcomes, including fatigue and pain Visual Analogue Scale (VAS), and PROMIS short form-physical function 10a (PF-10a). Gender was reported by participants with three options (men, women, or do not wish to disclose). Patient-reported outcomes and corticosteroid or immunosuppressant use were compared between men and women. Participants with inclusion body myositis were analysed separately due to the substantial difference in treatment and disease outcomes compared with other idiopathic inflammatory myopathy subtypes. Factors affecting each patient-reported outcome were determined using multivariable analysis. Finding(s): The survey data were extracted on Aug 31, 2021, and 1202 complete responses from participants with idiopathic inflammatory myopathies were analysed. Five patients who did not wish to disclose gender were excluded. 845 (70.6%) of the remaining 1197 were women. Women were younger than men (median 58 years [IQR 48-68] vs 69 years [58-75];p=0.00010). Autoimmune multimorbidity was more common in women than in men (94 [11.1%] of 845 vs 11 [3.1%] of 352;p<0.0001). Corticosteroid use was similar in men and women with idiopathic inflammatory myopathies (except for inclusion body myositis), whereas the distribution of immunosuppressants was different, with higher hydroxychloroquine use in women (131 [18.3%] of 717 vs 11 [6.9%] of 159 in men;p=0.0082). The median fatigue VAS was significantly higher in women than in men (5 [IQR 3-7] vs 4 [2-6];p=0.0036), whereas the gender difference in pain VAS (median 3 [IQR 1-5] in women vs 2 [0-4] in men;p=0.064) and PROMIS PF-10a scores (38 [31-45] vs 39 [30-47];p=0.29) was non-significant. There were no significant differences in patient-reported outcomes and treatment in participants with inclusion body myositis. The multivariable analysis of idiopathic inflammatory myopathies (except for inclusion body myositis) revealed that female sex, residence in high-income countries, a diagnosis of overlap myositis, and autoimmune multimorbidity were independent risk factors for higher fatigue VAS. Interpretation(s): Women with Idiopathic inflammatory myopathies frequently have autoimmune multimorbidity and increased fatigue compared with men, calling for greater attention and further research on targeted treatment approaches. Funding(s): None.Copyright © 2022 Elsevier Ltd

Accelerating guideline dissemination in nursing homes during the COVID-19 pandemic: A patient-centered randomized controlled trial

Background Nursing homes were ill-equipped for the pandemic;though facilities are required to have infection control staff, only 3% have taken a basic infection control course. Little is known about the implementation of effective practices outside of the acute care setting. We proposed an intervention utilizing Project ECHO, to connect Penn State University experts with nursing home staff and administrators to explore how infection control guidelines can be implemented effectively. Methods A stratified cluster randomized design was used to assign nursing homes to either AHRQ-funded COVID-19 ECHO or AHRQ-funded COVID-19 ECHO+ Results: 136 nursing homes participated. There were no significant differences in COVID-19 infection rate, hospitalization, deaths, or influenza, between ECHO or ECHO+.Discussion: The ECHO model has significant strengths when compared to traditional training, as it allows for remote learning delivered by a multidisciplinary team of experts and utilizes case discussions that match the context of nursing homes.