SV
Srinivasan Venkatramanan
Also known as: Srini Venkatramanan, Srini Venkat, Srinivasan V, V Srinivasan
University of Virginia
Research areas: Mathematics · Modeling and Simulation · COVID-19 epidemiological studies · Complex Network Analysis Techniques · Human Mobility and Location-Based Analysis
0000-0002-0874-8692
Employment
Education
Education history is unavailable.
Projects & Funding
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RAPID: Collaborative: Transfer Learning Techniques for Better Response to COVID-19 in the US Directorate for Computer & Information Science & Engineering2020 - 2021
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RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks Directorate for Computer & Information Science & Engineering2020 - 2021
Publications (31)
- Multi-season evaluation and analysis of categorical trend forecasts of influenza hospital admissions in the United States Save
- Epihiper—A high performance computational modeling framework to support epidemic science Save
- Multimodeling approach to evaluating the efficacy of layering pharmaceutical and nonpharmaceutical interventions for influenza pandemics Save
- Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support Save
- Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19 Save
- Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines Save
- All models are useful: Bayesian ensembling for robust high resolution covid-19 forecasting Save
- Forecasting influenza activity using machine-learned mobility map Save
- Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April--September 2021 Save
- Prioritizing allocation of COVID-19 vaccines based on social contacts increases vaccination effectiveness Save
- Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines Save
- An Automated Approach for Finding Spatio-Temporal Patterns of Seasonal Influenza in the United States: Algorithm Validation Study Save
- Commentary on Ferguson, et al.,“Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand” Save
- Designing effective and practical interventions to contain epidemics Save
- Evaluating the impact of international airline suspensions on the early global spread of COVID-19 Save
- Interplay of global multi-scale human mobility, social distancing, government interventions, and COVID-19 dynamics Save
- Mathematical models for covid-19 pandemic: a comparative analysis Save
- Medical costs of keeping the US economy open during COVID-19 Save
- Modeling commodity flow in the context of invasive species spread: Study of Tuta absoluta in Nepal Save
- Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints Save