Background: The current coronavirus disease-19 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a global outbreak of a disease from a new coronavirus. Several databases have been published on this pandemic, but the research community still needs an easy way to get comprehensive information on COVID-19.
Objectives: COVID-19 pandemic database (CO-19 PDB) aims to provide wonderful insights for COVID-19 researchers with the well-gathered of all the COVID-19 data to one platform, which is a global challenge for the research community these days.
Methods: We gathered 59 updated databases since December-2019 until May 2021 and divided them into six categories: digital image database, genomic database, literature database, visualization tools database, chemical structure database, and social science database. These categories focus on taking number of functions from the images, information from gene sequences, updates from relevant papers, essays, reports, articles, and books, the data or information in the form of maps, graphs, and charts, information of bonds between atoms, and updates about events of the physical and social environment, respectively.
Results: Users can search the information of interest in two ways including typing the name of the database in the search bar or by clicking the right category directly. Computer languages such as CSS, PHP, HTML, Java, etc. are utilized to construct CO-19 PDB.
Conclusion: This article attempts to compile up-to-date appropriate COVID-19 datasets and resources that have not been compiled and given in such an accessible and user-friendly manner. As a result, the CO-19 PDB offers extensive open data sharing for both worldwide research communities and local people. Further, we have planned future development of new features, that will be awesome for future study.
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http://dx.doi.org/10.1016/j.cmpbup.2021.100031 | DOI Listing |
J Microbiol Immunol Infect
January 2025
Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan; Department of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan. Electronic address:
Background: COVID-19 mRNA vaccines have demonstrated 95 % efficacy in the general population. However, their immunogenicity in adolescents with Type 1 Diabetes (T1D), who exhibit weaken immune responses, remains insufficiently explored.
Methods: Longitudinal analysis of innate immune responses following PRR-agonists and BNT162b2 vaccine stimulations, along with S-specific antibody responses, memory T cell recall responses, and RNA-sequencing were assessed in eight T1D adolescents and 16 healthy controls at six different timepoints.
J Microbiol Immunol Infect
December 2024
Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan. Electronic address:
Background: This study analyzed the epidemiological trends of three significant respiratory infectious diseases in Taiwan: invasive pneumococcal disease (IPD), influenza with severe complications, and tuberculosis during post-COVID-19 pandemic period.
Methods: We utilized data from Taiwan's Centers for Disease Control and Prevention (CDC) website and classified the COVID-19 prevention policies into three phases for the year 2021, 2022, and 2023. We then performed a statistical analysis of reported case numbers for the three respiratory diseases during the 3-year period using the Kruskal-Wallis test, followed by joinpoint regression model for the identification of seasonal distribution and variation.
Can J Ophthalmol
January 2025
MD, FRCSC, Department of Ophthalmology, University of Manitoba, Winnipeg, MB, Canada; Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada.
Life Sci
January 2025
Public Health - Seattle & King County, Seattle, WA, USA; Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA.
This review aims to describe the neurologic post-COVID-19 conditions (PCC, also known as "long COVID"), a complex array of diagnoses that can occur following recovery from acute COVID-19. The review also includes clinical considerations for the recognition, diagnosis and management of neurologic manifestations of PCC. Cognitive impairment ("Brain Fog"), headaches, and neuropathies are specifically reviewed.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Australasian Nanoscience and Nanotechnology Initiative (ANNI), Monash University LPO, Clayton, VIC 3168, Australia.
Nanotechnology involves the utilization of materials with exceptional properties at the nanoscale. Over the past few years, nanotechnologies have demonstrated significant potential in improving human health, particularly in medical treatments. The self-assembly characteristic of RNA is a highly effective method for designing and constructing nanostructures using a combination of biological, chemical, and physical techniques from different fields.
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