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Aniruddha Adiga

Showing results (1-10 of 28) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|June 15, 2021
Evaluating the utility of high-resolution proximity metrics in predicting the spread of COVID-19Zakaria Mehrab, Aniruddha Adiga, Madhav V Marathe, et al.
Journal of the Indian Institute of Science|November 23, 2020
Data-Driven Modeling for Different Stages of Pandemic ResponseAniruddha Adiga, Jiangzhuo Chen, Madhav Marathe, et al.
Journal of the Indian Institute of Science|November 4, 2020
Mathematical Models for COVID-19 Pandemic: A Comparative AnalysisAniruddha Adiga, Devdatt Dubhashi, Bryan Lewis, et al.
Arxiv|September 30, 2020
Data-driven modeling for different stages of pandemic responseAniruddha Adiga, Jiangzhuo Chen, Madhav Marathe, et al.
Arxiv|September 30, 2020
Models for COVID-19 Pandemic: A Comparative AnalysisAniruddha Adiga, Devdatt Dubhashi, Bryan Lewis, et al.
Medrxiv : the Preprint Server for Health Sciences|March 24, 2021
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 ForecastingAniruddha Adiga, Lijing Wang, Benjamin Hurt, et al.
Epidemics|March 31, 2024
Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projectionsPrzemyslaw Porebski, Srinivasan Venkatramanan, Aniruddha Adiga, et al.
Arxiv|April 2, 2024
Wastewater-based Epidemiology for COVID-19 Surveillance and Beyond: A SurveyChen Chen, Yunfan Wang, Gursharn Kaur, et al.
Arxiv|January 5, 2021
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban RailwayAlok Talekar, Sharad Shriram, Nidhin Vaidhiyan, et al.
Epidemics|October 2, 2024
Wastewater-based epidemiology for COVID-19 surveillance and beyond: A surveyChen Chen, Yunfan Wang, Gursharn Kaur, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Medrxiv : the Preprint Server for Health Sciences|June 15, 2021
Evaluating the utility of high-resolution proximity metrics in predicting the spread of COVID-19Zakaria Mehrab, Aniruddha Adiga, Madhav V Marathe, et al.
Journal of the Indian Institute of Science|November 23, 2020
Data-Driven Modeling for Different Stages of Pandemic ResponseAniruddha Adiga, Jiangzhuo Chen, Madhav Marathe, et al.
Journal of the Indian Institute of Science|November 4, 2020
Mathematical Models for COVID-19 Pandemic: A Comparative AnalysisAniruddha Adiga, Devdatt Dubhashi, Bryan Lewis, et al.
Arxiv|September 30, 2020
Data-driven modeling for different stages of pandemic responseAniruddha Adiga, Jiangzhuo Chen, Madhav Marathe, et al.
Arxiv|September 30, 2020
Models for COVID-19 Pandemic: A Comparative AnalysisAniruddha Adiga, Devdatt Dubhashi, Bryan Lewis, et al.
Medrxiv : the Preprint Server for Health Sciences|March 24, 2021
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 ForecastingAniruddha Adiga, Lijing Wang, Benjamin Hurt, et al.
Epidemics|March 31, 2024
Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projectionsPrzemyslaw Porebski, Srinivasan Venkatramanan, Aniruddha Adiga, et al.
Arxiv|April 2, 2024
Wastewater-based Epidemiology for COVID-19 Surveillance and Beyond: A SurveyChen Chen, Yunfan Wang, Gursharn Kaur, et al.
Arxiv|January 5, 2021
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban RailwayAlok Talekar, Sharad Shriram, Nidhin Vaidhiyan, et al.
Epidemics|October 2, 2024
Wastewater-based epidemiology for COVID-19 surveillance and beyond: A surveyChen Chen, Yunfan Wang, Gursharn Kaur, et al.
Pageof 3