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Dashboards use a suite of visual analytics, such as various forms of graphs (e.g., line graphs, histograms, bar charts, pie charts), maps, and infographics (e.g., gauges, traffic lights, meters, arrows) to display and communicate time series and spatial data. 1 Most contemporary dashboards are dynamic (i.e., being updated as data, including real-time data, are released) and interactive (e.g., allowing selecting, filtering, and querying data; zooming in or out, panning, and overlaying; changing type of visualization).2 The power and utility of dashboards is that they act as effective cognitive tools for making sense of and tracking voluminous, varied, and quickly transitioning data, enabling users to examine emerging patterns and trends and make evidence- informed decisions and policy responses.3,4 Consequently, dashboards have become common across sectors as a means to communicate, monitor, track, analyze, and act on large volumes of dynamic data.

Lipid nanoparticles (LNPs) are the leading technology for RNA delivery, given the success of the Pfizer/BioNTech and Moderna COVID-19 mRNA (mRNA) vaccines, and small interfering RNA (siRNA) therapies (patisiran). However, optimization of LNP process parameters and compositions for larger RNA payloads such as self-amplifying RNA (saRNA), which can have complex secondary structures, have not been carried out. Furthermore, the interactions between process parameters, critical quality attributes (CQAs), and function, such as protein expression and cellular activation, are not well understood. Here, we used two iterations of design of experiments (DoE) (definitive screening design and Box-Behnken design) to optimize saRNA formulations using the leading, FDA-approved ionizable lipids (MC3, ALC-0315, and SM-102). We observed that PEG is required to preserve the CQAs and that saRNA is more challenging to encapsulate and preserve than mRNA. We identified three formulations to minimize cellular activation, maximize cellular activation, or meet a CQA profile while maximizing protein expression. The significant parameters and design of the response surface modeling and multiple response optimization may be useful for designing formulations for a range of applications, such as vaccines or protein replacement therapies, for larger RNA cargoes.

This paper investigates the effects of the Covid-19 pandemic on financial institutions and consumers’ adoption of FinTech in payments. We find that the pandemic: [1] Initially had a negative impact on the adoption of FinTech, but favorable short-term regulatory changes have reversed some of the negative effects [2] The use of all electronic payment cards has significantly declined during the pandemic except for charge cards. We find an increase in the use of charge cards as consumers shift towards cheaper forms of payment [3] The pandemic has magnified interbank contagion and liquidity risks and has reduced both domestic and international electronic fund transfers via RTGS. The pandemic has also resulted in a deterioration in the quality of commercial banks’ assets and balance sheets [4] Remittance inflows via FinTech platforms have significantly declined reflecting contractions in global economic activities.

The objectives of the current study were to (1) assess associations between household structure (i.e., living with spouse compared to living alone, with children, or with a spouse and children), presence of children, and mental distress in April 2020 and change in mental distress (between April and August 2020); and (2) determine whether these associations are moderated by income or sex.A total of 2,214 adults aged 25-55 from the April and August 2020 waves of the Understanding America study were included in the analytic sample.Multivariable, survey-weighted linear regression models were used to examine associations between explanatory variables (i.e., household structure and number of children) and outcome variables (mental distress in April and change in mental distress), measured via the Patient Health Questionnaire (PHQ)-4.In adjusted models, each additional child under the age of 12 was associated with lower mental distress in April 2020 (β = -.30,This study supports prior literature that demonstrates the positive association of child rearing with psychological well-being and suggests that these benefits may be present even under stay-at-home orders in the early stages of the U.S. COVID-19 pandemic. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

With the uptake of COVID-19 vaccines, there is a need for population-based studies to assess risk factors for COVID-19-related hospitalization after vaccination and how they differ from unvaccinated individuals.We used data from the British Columbia COVID-19 Cohort, a population-based cohort that includes all individuals (aged ≥18 years) who tested positive for SARS-CoV-2 by real-time reverse transcription-polymerase chain reaction from January 1, 2021 (after the start of vaccination program) to December 31, 2021. We used multivariable logistic regression models to assess COVID-19-related hospitalization risk by vaccination status and age group among confirmed COVID-19 cases.Of the 162,509 COVID-19 cases included in the analysis, 8,546 (5.3%) required hospitalization. Among vaccinated individuals, an increased odds of hospitalization with increasing age was observed for older age groups, namely those aged 50-59 years (odds ratio [OR] = 2.95, 95% confidence interval [CI]: 2.01-4.33), 60-69 years (OR = 4.82, 95% CI: 3.29, 7.07), 70-79 years (OR = 11.92, 95% CI: 8.02, 17.71), and ≥80 years (OR = 24.25, 95% CI: 16.02, 36.71). However, among unvaccinated individuals, there was a graded increase in odds of hospitalization with increasing age, starting at age group 30-39 years (OR = 2.14, 95% CI: 1.90, 2.41) to ≥80 years (OR = 41.95, 95% CI: 35.43, 49.67). Also, comparing all the age groups to the youngest, the observed magnitude of association was much higher among unvaccinated individuals than vaccinated ones.Alongside a number of comorbidities, our findings showed a strong association between age and COVID-19-related hospitalization, regardless of vaccination status. However, age-related hospitalization risk was reduced two-fold by vaccination, highlighting the need for vaccination in reducing the risk of severe disease and subsequent COVID-19-related hospitalization across all population groups.

Background: Risk factors for poor maternal perinatal mental health include a previous mental health diagnosis, reduced access to perinatal services, economic concerns and decreased levels of social support. Adverse maternal perinatal mental health can negatively influence the psychological wellbeing of infants. The outbreak of the COVID-19 pandemic presented an additional stressor. While literature on the impact of COVID-19 on perinatal mental health exists, no systematic review has focused specifically on maternal perinatal mental health during periods of COVID-19 lockdown. Aims: This systematic review explores how periods of COVID-19 lockdown impacted women's perinatal mental health. Methods: Searches of CINAHL, PsycARTICLES, PsycINFO, PubMed, Scopus and Web of Science were conducted for literature from 1st January 2020 - 25th May 2021. Quantitative, peer-reviewed, cross-sectional studies published in English with perinatal women as participants, and data collected during a period of lockdown, were included. Data was assessed for quality and narratively synthesized. Findings: Sixteen articles from nine countries met the inclusion criteria. COVID-19 lockdowns negatively impacted perinatal mental health. Risk factors for negative perinatal mental health noted in previous literature were confirmed. In addition, resilience, educational attainment, trimester, and ethnicity were identified as other variables which may influence mental health during perinatal periods experienced during lockdown. Understanding nuance in experience and harnessing intra and interpersonal support could advance options for intervention. Conclusion: Developing resources for perinatal women that integrate informal sources of support may aid them when normal routine is challenged, and may mediate potential long-term impacts of poor perinatal maternal health on infants.