Publications by authors named "D A Coronel"

Currently, the analyses of and prediction using COVID-19-related data extracted from patient information repositories compiled by hospitals and health organizations are of paramount importance. These efforts significantly contribute to vaccine development and the formulation of contingency techniques, providing essential tools to prevent resurgence and to effectively manage the spread of the disease. In this context, the present research focuses on analyzing the biological information of the SARS-CoV-2 viral gene sequences and the clinical data of COVID-19-affected patients using publicly accessible data from Ecuador.

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Article Synopsis
  • - A study found a positive link between GDP per capita and the number of COVID-19 tests conducted per 1000 people in Southeast Asia, suggesting that wealthier nations tend to test more frequently.
  • - The research also analyzed other factors like governance, public health measures, and investment in health to see how they influenced testing rates during the early COVID-19 pandemic, using regression analysis on COVID-19 data.
  • - Results indicated that higher GDP per capita correlates with increased testing, and all analyzed factors were significantly connected to testing rates, but the study emphasizes caution in applying findings to individuals due to its ecological nature and recommends further research on healthcare spending's effects.
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Due to COVID-19, the spread of diseases through air transport has become an important issue for public health in countries globally. Moreover, mass transportation (such as air travel) was a fundamental reason why infections spread to all countries within weeks. In the last 2 years in this research area, many studies have applied machine learning methods to predict the spread of COVID-19 in different environments with optimal results.

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To characterize CD4CD28 cells in chronic hyperuricemia and investigate whether allopurinol could restore CD28 expression and the balance of T helper phenotypes. Asymptomatic individuals with chronic hyperuricemia and ultrasonographic findings evocative of urate deposition in the joints. Age- and gender-matched normouricemic individuals were also studied.

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Objective: Interferon-γ inducible protein-10 (IP-10) is a promising biomarker in systemic lupus erythematosus (SLE). The optimal quantification platform has not yet been identified. We compared the performance of bead-based multiplex assay (Luminex) and high-sensitivity enzyme-linked immunosorbent assay (hs-ELISA) for profiling serum IP-10 as a biomarker of lupus activity.

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