PubMed COVID-19 Clinical Care

Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by the severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2). This disease caused one of the largest pandemics in human history. During the second COVID-19 surge

No abstract

Multidisciplinary research efforts on potential COVID-19 vaccine and therapeutic candidates have increased since the pandemic outbreak of SARS-CoV-2 in 2019. This search has become imperative due to the increasing emergences and limited widely

CONCLUSIONS: The intense RSV peak in 2021-2022, driven by RSV-A phylogenetically related to pre-pandemic strains is attributable to the immune debt created by pandemic restrictions. The RSV-B genetic divergence observed in post-pandemic strains may

Isotretinoin is a systemic therapy approved for acne and has historically required lab monitoring in addition to adherence to the iPLEDGE Risk Evaluation and Mitigation Strategy (REMS) given the medication's teratogenic effects. The COVID-19 pandemic

A 16-year-old boy who classically featured Guillain Barre Syndrome (GBS) after Corona Virus Disease-19 vaccination was timely treated successfully in limited resource setting in far western province. After Moderna (mRNA COVID 19 Vaccine) vaccination

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been associated with the overproduction of serum amyloid A protein, resulting in systemic AA amyloidosis. In this report, we describe a case of gastrointestinal (GI) AA

Inflammation in response to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection drives severity of coronavirus disease 2019 (COVID-19) and is influenced by host genetics. To understand mechanisms of inflammation, animal models that

CONCLUSIONS: Lack of exposure to influenza will diminish population immunity and increase the severity of large epidemics on a future global resurgence. Ongoing monitoring of the changes in the duration of the influenza epidemic and circulation

CONCLUSIONS: Our study demonstrates the effectiveness of deep learning methods for identifying factors contributing to vaccine attitudes in different regions. By determining these factors, policymakers and medical institutions can develop more