PubMed COVID-19 Clinical Care

The 2019 coronavirus pandemic exudes public health and socio-economic burden globally, raising an unprecedented concern for infectious diseases. Thus, describing the infectious disease transmission process to design effective intervention measures

As clinical understanding of pediatric Post-Acute Sequelae of SARS CoV-2 (PASC) develops, and hence the clinical definition evolves, it is desirable to have a method to reliably identify patients who are likely to have post-acute sequelae of SARS CoV

CONCLUSIONS: Patients with mental disorders were more vulnerable to moderate-to-severe loneliness and high social isolation during the pandemic, which contributed to the exacerbation of their symptoms. Depression and anxiety, in particular, were most

Academic health centers (AHCs) require expertise to ensure readiness for health security events, such as cyberattacks, natural disasters, and pandemics, as well as the ability to respond to and recover from these events. However, most AHCs lack an

The early phase of the COVID-19 pandemic prompted a repurposing of antiviral and immunomodulatory drugs as investigational therapeutics, including hydroxychloroquine and chloroquine. While antimalarials have been well-refuted as a treatment for COVID

The global health-threatening crisis from the COVID-19 pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), highlights the scientific and engineering potentials of applying ultraviolet (UV) disinfection technologies

Most of the available information on studying under the challenging conditions brought about by the COVID-19 pandemic emphasizes a variety of aspects on how to digitalize the whole teaching process. Thus, several useful and potentially game-changing

CONCLUSIONS: A statistically significant association between BNT162b2 vaccination and myo/pericarditis was observed. This association has been confirmed internationally. BNT162b2 was not found to be associated with the other AESIs investigated

No abstract

Despite recent methodology advancements in clinical natural language processing (NLP), the adoption of clinical NLP models within the translational research community remains hindered by process heterogeneity and human factor variations. Concurrently