Key Epidemiological Parameters for SARS-CoV-2 Outbreaks and Variant Selection From Noisy Data ResearchInsightsCommentarySIAM Newssiam.org FeedsData ScienceLife SciencesUncertainty Quantification During the COVID-19 pandemic, preliminary predictions based on noisy and often incomplete data became elements of a real-time discussion.
Data-driven Approach with Structural Equation Modeling Monitors Psychosocial Community Risks ResearchInsightsCommentarysiam.org FeedsApplied Mathematics EducationData ScienceLife Sciences This effort used data collected from college students to estimate a statistical model and investigate distress and burnout.
Mathematical Modeling for Social Good: COVID-19 in Long-term Care Facilities Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsControl and Systems TheoryDynamical Systems, Nonlinear WavesLife SciencesOptimization An epidemiological model addresses COVID-19’s spread in long-term care facilities under non-pharmaceutical interventions.
Topological Artificial Intelligence Forecasting of Future Dominant Viral Variants ResearchInsightsCommentarysiam.org FeedsApplied GeometryComputational Science & Numerical AnalysisLife Sciences Forecasting emerging dominant COVID-19 variants is one of the most challenging scientific tasks of our time.
Targeting Life-threatening Systemic Inflammatory Response Syndrome in SARS-CoV-2 Patients ResearchInsightsCommentaryBlogsiam.org FeedsDynamical Systems, Nonlinear WavesLife Sciences Untangling the mechanisms of positive and negative immune responses to SARS-CoV-2 is a major task in the medical field.