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All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting., , , , , , , and . KDD, page 2505-2513. ACM, (2021)Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts., , , , , , , and . AAAI, page 15647-15653. AAAI Press, (2023)AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US., , , , , , , , , and 8 other author(s). IEEE BigData, page 1566-1574. IEEE, (2021)Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources., , , , , , , and . IEEE Big Data, page 1594-1603. IEEE, (2022)Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities., , , , , , , , , and 2 other author(s). TPS-ISA, page 23-33. IEEE, (2023)A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India., , , , , , , , , and 7 other author(s). WSC, page 994-1005. IEEE, (2023)From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance., , , , , , , , , and 2 other author(s). IEEE BigData, page 1380-1387. IEEE, (2020)