A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India-Reference-Cited by-同舟云学术

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A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India

Published:2023-12-10 Issue: Volume: Page:994-1005
ISSN:
Container-title:2023 Winter Simulation Conference (WSC)
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Short-container-title:

Author:

Adiga Aniruddha¹,Hurt Benjamin¹,Kaur Gursharn¹,Lewis Bryan¹,Marathe Madhav¹,Porebski Przemyslaw¹,Venkatramanan Srinivasan¹,Dukkipati Ambedkar²,Gracious Tony²,Gupta Shubham²,Rathod Nihesh²,Sundaresan Rajesh²,Yasodharan Sarath²,Bhimala Kantha Rao³,Mudkavi Vidyadhar³,Patra Gopal Krishna³,Athreya Siva⁴

Affiliation:

1. University of Virginia,Charlottesville,VA,USA,22903

2. Indian Institute of Science,Bengaluru,India,560012

3. CSIR-Fourth Paradigm Institute,Bengaluru,India,560037

4. International Centre for Theoretical Sciences-TIFR,Bengaluru,India,560089

Funder

National Science Foundation

University of Virginia

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406299/10407113/10407748.pdf?arnumber=10407748

Reference41 articles.

1. Mathematical Models for COVID-19 Pandemic: A Comparative Analysis

2. Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources

3. SUTRA: An Approach to Modelling Pandemics with Undetected (Asymptomatic) Patients, and Applications to COVID-19

4. City-Scale Agent-Based Simulators for the Study of Non-pharmaceutical Interventions in the Context of the COVID-19 Epidemic

5. Modelling a pandemic with asymptomatic patients, impact of lockdown and herd immunity, with applications to SARS-CoV-2

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