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  1. Article

    Open Access

    Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty

    Our ability to forecast epidemics far into the future is constrained by the many complexities of disease systems. Realistic longer-term projections may, however, be possible under well-defined scenarios that s...

    Emily Howerton, Lucie Contamin, Luke C. Mullany, Michelle Qin… in Nature Communications (2023)

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    AI Techniques for Forecasting Epidemic Dynamics: Theory and Practice

    Forecasting epidemic dynamics has been an active area of research for at least two decades. The importance of the topic is evident: policy makers, citizens, and scientists would all like to get accurate and ti...

    Aniruddha Adiga, Bryan Lewis, Simon Levin… in Artificial Intelligence in Covid-19 (2022)

  3. Article

    Mathematical Models for COVID-19 Pandemic: A Comparative Analysis

    COVID-19 pandemic represents an unprecedented global health crisis in the last 100 years. Its economic, social and health impact continues to grow and is likely to end up as one of the worst global disasters s...

    Aniruddha Adiga, Devdatt Dubhashi… in Journal of the Indian Institute of Science (2020)

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  4. Article

    Data-Driven Modeling for Different Stages of Pandemic Response

    Some of the key questions of interest during the COVID-19 pandemic (and all outbreaks) include: where did the disease start, how is it spreading, who are at risk, and how to control the spread. There are a lar...

    Aniruddha Adiga, Jiangzhuo Chen… in Journal of the Indian Institute of Science (2020)

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