ABSTRACT
ABSTRACT This study explores perceptions of online racial hate speech directed at Asian Americans in the United States during the COVID-19 pandemic. We examined how individuals' enactment of resilience communication in response to that threat affected their self-reported estimates of personal health. Using a nationally representative survey (n = 1767) that oversampled Asian Americans (n = 455), we found that Asian Americans perceived the problem of online hate speech to be more severe than members of non-targeted groups. Analysis revealed a mediated pathway through which heightened perceptions of online racial hate speech were positively associated with individuals' enactment of specific resilience processes tied to identity affirmation, which was linked to positive gains in psychological health. Results contribute to resilience theory in the context of racism and the observed relationships between resilience communication and health. We discuss how individuals in minoritized communities and allies might use resilience to combat the synergistic stressors of the COVID-19 pandemic. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
ABSTRACT
MOTIVATION: InterARTIC is an interactive web application for the analysis of viral whole-genome sequencing (WGS) data generated on Oxford Nanopore Technologies (ONT) devices. A graphical interface enables users with no bioinformatics expertise to analyse WGS experiments and reconstruct consensus genome sequences from individual isolates of viruses, such as SARS-CoV-2. InterARTIC is intended to facilitate widespread adoption and standardisation of ONT sequencing for viral surveillance and molecular epidemiology. WORKED EXAMPLE: We demonstrate the use of InterARTIC for the analysis of ONT viral WGS data from SARS-CoV-2 and Ebola virus, using a laptop computer or the internal computer on an ONT GridION sequencing device. We showcase the intuitive graphical interface, workflow customisation capabilities and job-scheduling system that facilitate execution of small- and large-scale WGS projects on any common virus. IMPLEMENTATION: InterARTIC is a free, open-source web application implemented in Python that executes best-practice command line workflows from the ARTIC network. The application can be downloaded as a set of pre-compiled binaries that are compatible with all common Linux distributions, Windows with Linux subsystems, MacOSX and ARM systems. For further details please visit: https://github.com/Psy-Fer/interARTIC/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.