covid 19

The Role of Artificial Intelligence (En)during the COVID-19 Pandemic

Some interesting results have recently emerged in the overlap between artificial intelligence and epidemiology.

Risk, Randomness, and the Power of the Lindy Effect

The Lindy effect is a useful framework for decision-making that makes sense of the “test of time” as a...

Targeting Life-threatening Systemic Inflammatory Response Syndrome in SARS-CoV-2 Patients

Untangling the mechanisms of positive and negative immune responses to SARS-CoV-2 is a major task in the medical...

Topological Artificial Intelligence Forecasting of Future Dominant Viral Variants

Forecasting emerging dominant COVID-19 variants is one of the most challenging scientific tasks of our time.

Data-driven Approach with Structural Equation Modeling Monitors Psychosocial Community Risks

This effort used data collected from college students to estimate a statistical model and investigate distress and...

Mathematical Modeling for Social Good: COVID-19 in Long-term Care Facilities

An epidemiological model addresses COVID-19’s spread in long-term care facilities under non-pharmaceutical...

A Dynamical Systems View of the Outcomes of Viral Infections

A deeper understanding of the factors that determine the outcomes of viral infection could inspire novel interventions.

Progression of SARS-CoV-2 From Successful Intake to Establishment of Infection in a Tissue

Mathematical tools from fluid dynamics help researchers understand individuals’ widely varied responses to...

Optimization and Data Analysis for Improved COVID-19 Detection and Measurement

Applied mathematics techniques can improve biometrology tools like quantitative PCR, the touchstone for disease...

Methodological Borrowing and Blending for Health Technology Assessments

Mathematical techniques have a potential role in addressing challenges in Health Economics and Outcomes Research.

What Students Can Teach Us About Online Learning

Virtual learning requires a different set of variables and may be better suited for certain types of learners than...

How Many Is Enough? How Adherence to Public Health Measures Shapes Epidemic Spreading

A temporal network model mimics the behavior of a population that partially adopts non-pharmaceutical interventions.

Virtual Study Groups Promote Collaborative Industry Experience for Ph.D. Students

The U.K.'s Virtual Forum for Knowledge Exchange in Mathematical Sciences prepares graduate students for industrial careers.

Oscillatory Dynamics Impact Social Distancing Patterns

At AN21, Alina Glaubitz modified a traditional COVID-19 epidemiological model to account for the oscillatory...

Measuring the Effectiveness of COVID-19 Preventative Methods in North Carolina with a Time-Delayed SIR Model

A susceptible-infected-recovered model identified the COVID-19 risks for different metro areas in North Carolina.

High-Performance Computing and Artificial Intelligence Approaches to COVID-19 Therapeutics

A novel approach identifies small molecules as potential leads for the development of effective antiviral therapeutics.

COVID-19: A Data-driven Mean-field-type Game Theory Perspective

Data-driven mean-field-type game theory can model interactions with multiple types of decision-makers for...

Weakly Coupled Dynamic Programs, Fluid Limits, and COVID-19: How Optimization Can Help Inform Policymaking

A national scheme could combine data analysis and optimization to prioritize treatment for hospital patients.

Designing Responses to the COVID-19 Outbreak: From Simulation to Optimization

The scientific community’s response to the COVID-19 pandemic has involved many tools from applied math and optimization.

The Impact of Human Mobility on Disease Spread

A new model investigates how travel or limits on mobility impact the extent of an infection’s spread in a...

Mathematical Resources to Help Understand COVID-19

SIAM is offering a collection of resources to facilitate a better understanding of COVID-19 and the research surrounding it.

Sentiments Regarding COVID-19 Impact Disease Spread

Folashade Agusto explored how positive and negative public sentiments affect infection rates during DS21.

Open Letter from Research Institutes: COVID-19 Advocacy

An open letter advocates for the futures of early-career mathematical scientists in light of the COVID-19 pandemic.

Report on Future Research Directions for NSF in the Era of COVID-19

SIAM's Task Force on Future Research Directions for NSF in the Era of COVID-19 released a report...

Utilizing Shields to Curb COVID-19’s Second Wave

Mathematical tools can help design effective shields systems against COVID-19's second wave.

COVID-19: Models, Mathematics, and Myths

Several myths pertaining to mathematical models that attempt to address COVID-19 may limit their usefulness.

Introduction to the AIM/MCRN Summer School on COVID-19

An AIM/MCRN-sponsored summer school focuses on COVID-19 and the mathematical modeling and analysis of...

AIM/MCRN Summer School on COVID-19: Day 2

Hans Kaper details the activities of the second day of an AIM/MCRN-sponsored virtual summer school...

AIM/MCRN Summer School on COVID-19: Day 3

Hans Kaper overviews the third day of an AIM/MCRN-sponsored virtual summer school on COVID-19.

1 2 3

Download the Print Issue