This chapter describes the application of genomic, transcriptomic, proteomic, and metabolomic methods in the study of SARS-CoV-2 variants of concern. We also describe the important role of machine learning tools to identify the most significant
Coronaviruses are single-stranded RNA viruses that are common in animals. In the past 20 years, there have been three large-scale epidemics of coronaviruses, including severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS)
CONCLUSIONS: For these participants, self-care became a relational joining with their patients separate from the lack of systemic support which heralded an early termination to their career for psychological well-being and authenticity.
CONCLUSION: Although most patients with COVID-19 had mild to moderate illness, more than a quarter were prescribed antibiotics. Judicious use of antibiotics is necessary for patients with COVID-19, considering the severity of disease and risk of
CONCLUSIONS: Findings have important implications for the provision of behavioral supports for families in primary care, underlying the need to increase parents' access to IBH services by proactively providing evidence-based resources and continuing
CONCLUSION: Assistance in the facility's operational governance from the early phase of an outbreak in LTCFs contributed to a significant decline in incidence rate and case fatality rate among LTCF residents and care workers in facilities.
CONCLUSIONS: Initially high registration numbers did not translate to ongoing engagement with the CoHELP online platform, particularly for completion of evaluation activities. Overall, the CoHELP program received positive feedback from participants
Neuroinflammation is critical in developing and progressing neurological diseases. The underlying pro-inflammatory cytokine expression combined with additional mechanisms in the neuropathology, such as oxidative stress, brain-blood barrier damage