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Unsupervised learning analysis on the proteomes of Zika virus.
PeerJ Comput Sci
November 2024
Laboratorio de Biotecnología Genómica, Centro de Biotecnología Genómica, Instituto Politécnico Nacional, Reynosa, Tamaulipas, México.
Article Synopsis
- The Zika virus (ZIKV), primarily spread by mosquitoes, poses significant health challenges, especially in impoverished tropical areas; understanding its spread is crucial for control efforts.
- This study utilized unsupervised machine learning techniques, particularly Random Forest and various dimensional reduction methods, to analyze ZIKV protein data and identify patterns without prior training information.
- Results revealed distinct host and geographical clusters for ZIKV, with UMAP being particularly effective; these methods could help track viral pathogens and could be adapted for studying other viruses like dengue.
Dengue: a hidden threat in blood transfusions amidst Brazil's largest outbreak?
Lancet Infect Dis
January 2025
Department of Pediatrics, Santa Casa de São Paulo School of Medical Sciences, 01221-020 São Paulo, Brazil.
Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness.
J Am Stat Assoc
July 2023
Department of Statistics and Data Science, The Wharton School, University of Pennsylvania.
The test-negative design (TND) has become a standard approach to evaluate vaccine effectiveness against the risk of acquiring infectious diseases in real-world settings, such as Influenza, Rotavirus, Dengue fever, and more recently COVID-19. In a TND study, individuals who experience symptoms and seek care are recruited and tested for the infectious disease which defines cases and controls. Despite TND's potential to reduce unobserved differences, in healthcare seeking behavior (HSB) between vaccinated and unvaccinated subjects, it remains subject to various potential biases.
View Article and Find Full Text PDFComputational Exploration of Royle: A Hidden Treasure Trove for Antiviral Development.
Bioinform Biol Insights
July 2024
Department of Industrial Biotechnology, Atta ur Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.
Viral infections and associated illnesses account for approximately 3.5 million global fatalities and public health problems. Medicinal plants, with their wide therapeutic range and minimal side effects, have gained limelight particularly in response to growing concerns about drug resistance and sluggish development of antiviral drugs.
View Article and Find Full Text PDFFinancial hardship among patients suffering from neglected tropical diseases: A systematic review and meta-analysis of global literature.
PLoS Negl Trop Dis
May 2024
Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, United States of America.
Introduction: Neglected tropical diseases (NTDs) mainly affect underprivileged populations, potentially resulting in catastrophic health spending (CHS) and impoverishment from out-of-pocket (OOP) costs. This systematic review aimed to summarize the financial hardship caused by NTDs.
Methods: We searched PubMed, EMBASE, EconLit, OpenGrey, and EBSCO Open Dissertations, for articles reporting financial hardship caused by NTDs from database inception to January 1, 2023.
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