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The COVID-19 pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) poses an unprecedented challenge to humanity. SARS-CoV-2 infections range from asymptomatic to severe courses of COVID-19 with acute respiratory distress syndrome (ARDS), multiorgan involvement and death. Risk factors for disease severity include older age, male sex, increased BMI and pre-existing comorbidities. Ethnicity is also relevant to COVID-19 susceptibility and severity. Host genetic predisposition to COVID-19 is now increasingly recognized and whole genome and candidate gene association studies regarding COVID-19 susceptibility have been performed. Several common and rare variants in genes related to inflammation or immune responses have been identified. We summarize research on COVID-19 host genetics and compile genetic variants associated with susceptibility to COVID-19 and disease severity. We discuss candidate genes that should be investigated further to understand such associations and provide insights relevant to pathogenesis, risk classification, therapy response, precision medicine, and drug repurposing.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512556 | PMC |
http://dx.doi.org/10.1016/j.ebiom.2021.103629 | DOI Listing |
Infect Drug Resist
September 2025
Department of Infectious Diseases, Ningbo No.2 Hospital, Ningbo, 315010, People's Republic of China.
Objective: Multiple studies have confirmed that viral pneumonia is a high-risk factor for invasive pulmonary aspergillosis (IPA), this retrospective study aims to analyze the differences in clinical characteristics, prognosis, and high-risk factors for mortality between patients with influenza virus-associated pulmonary aspergillosis (IAPA) and those with COVID-19-associated pulmonary aspergillosis (CAPA).
Methods: Clinical data from IAPA and CAPA patients diagnosed at four hospitals were collected. The clinical characteristics and prognostic differences between the two groups were analyzed and compared, with Cox regression used to identify the risk factors for mortality.
SAGE Open Nurs
September 2025
College of Nursing, King Saud University, Riyadh, Saudi Arabia.
Background: Given the recency of the COVID-19 pandemic, few studies focus on the challenges frontline healthcare providers (HCPs) face in Saudi Arabia. There aren't many studies that specifically address the difficulties Saudi Arabia's frontline nurses confront due to the COVID-19 pandemic's recent onset.
Objective: This study was conducted to assess the concerns, perceived impact, and preparedness of nurses during COVID-19.
In Silico Pharmacol
September 2025
Bioinformatics Facility Center, University of North Bengal, Raja Rammohanpur, Siliguri, West Bengal 734013 India.
COVID-19 persists globally with profound social and economic consequences, and its complex interplay with other diseases makes it a syndemic. Rheumatoid arthritis (RA), a chronic autoimmune disorder, has shown increased incidence during the pandemic, with patients displaying higher susceptibility to COVID-19. This overlap prompted the hypothesis of ''.
View Article and Find Full Text PDFFront Public Health
September 2025
Directorate-General of Health (DGS), Lisbon, Portugal.
Background: Seasonal vaccination campaigns against influenza and COVID-19 are critical for protecting vulnerable populations. Scientific evidence on past campaigns is essential for the effectiveness of future campaigns. This study aims to: (1) assess predictors of influenza and COVID-19 vaccination intentions (2) explore perceived barriers and facilitators of 2023-2024 seasonal vaccination campaign.
View Article and Find Full Text PDFPLoS One
September 2025
Graduate School of Urban Studies, Hanyang University, Seoul, Republic of Korea.
This study examines the spatial dynamics of urban vegetation and its impact on housing prices in Chicago, analyzing data from both pre- and post-COVID-19 periods. Employing Ordinary Least Squares (OLS) and Multiscale Geographically Weighted Regression (MGWR) models, we assess how the effects of green spaces on property values vary across different neighborhoods. The OLS model generally indicates a positive correlation between increased vegetation and housing prices.
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