Inproceedings,
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US.
P. Bhattacharya, D. Machi, J. Chen, S. Hoops, B. Lewis, H. Mortveit, S. Venkatramanan, M. Wilson, A. Marathe, P. Porebski, B. Klahn, J. Outten, A. Vullikanti, D. Xie, A. Adiga, S. Brown, C. Barrett, and M. Marathe.IEEE BigData, page 1566-1574. IEEE, (2021)
Meta data
- BibTeX key
- conf/bigdataconf/BhattacharyaMCH21
- entry type
- inproceedings
- booktitle
- IEEE BigData
- year
- 2021
- pages
- 1566-1574
- publisher
- IEEE
- crossref
- conf/bigdataconf/2021
- ee
- https://doi.org/10.1109/BigData52589.2021.9671811
- isbn
- 978-1-6654-3902-2
- url
- http://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2021.html#BhattacharyaMCH21
Tags
Users
Comments and Reviewsshow / hide
Cite this publication
More citation styles
- please select -%0 Conference Paper
%1 conf/bigdataconf/BhattacharyaMCH21
%A Bhattacharya, Parantapa
%A Machi, Dustin
%A Chen, Jiangzhuo
%A Hoops, Stefan
%A Lewis, Bryan L.
%A Mortveit, Henning S.
%A Venkatramanan, Srinivasan
%A Wilson, Mandy L.
%A Marathe, Achla
%A Porebski, Przemyslaw J.
%A Klahn, Brian
%A Outten, Joseph
%A Vullikanti, Anil
%A Xie, Dawen
%A Adiga, Abhijin
%A Brown, Shawn
%A Barrett, Christopher L.
%A Marathe, Madhav V.
%B IEEE BigData
%D 2021
%E Chen, Yixin
%E Ludwig, Heiko
%E Tu, Yicheng
%E Fayyad, Usama M.
%E Zhu, Xingquan
%E Hu, Xiaohua
%E Byna, Suren
%E Liu, Xiong
%E Zhang, Jianping
%E Pan, Shirui
%E Papalexakis, Vagelis
%E Wang, Jianwu
%E Cuzzocrea, Alfredo
%E Ordonez, Carlos
%I IEEE
%K dblp
%P 1566-1574
%T AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US.
%U http://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2021.html#BhattacharyaMCH21
%@ 978-1-6654-3902-2
@inproceedings{conf/bigdataconf/BhattacharyaMCH21,
added-at = {2023-06-26T00:00:00.000+0200},
author = {Bhattacharya, Parantapa and Machi, Dustin and Chen, Jiangzhuo and Hoops, Stefan and Lewis, Bryan L. and Mortveit, Henning S. and Venkatramanan, Srinivasan and Wilson, Mandy L. and Marathe, Achla and Porebski, Przemyslaw J. and Klahn, Brian and Outten, Joseph and Vullikanti, Anil and Xie, Dawen and Adiga, Abhijin and Brown, Shawn and Barrett, Christopher L. and Marathe, Madhav V.},
biburl = {https://www.bibsonomy.org/bibtex/2f8c01a61ae7ab9593146f869caf7daf9/dblp},
booktitle = {IEEE BigData},
crossref = {conf/bigdataconf/2021},
editor = {Chen, Yixin and Ludwig, Heiko and Tu, Yicheng and Fayyad, Usama M. and Zhu, Xingquan and Hu, Xiaohua and Byna, Suren and Liu, Xiong and Zhang, Jianping and Pan, Shirui and Papalexakis, Vagelis and Wang, Jianwu and Cuzzocrea, Alfredo and Ordonez, Carlos},
ee = {https://doi.org/10.1109/BigData52589.2021.9671811},
interhash = {c9d6e2b404ea836fb451892dfa35b522},
intrahash = {f8c01a61ae7ab9593146f869caf7daf9},
isbn = {978-1-6654-3902-2},
keywords = {dblp},
pages = {1566-1574},
publisher = {IEEE},
timestamp = {2024-04-09T21:02:29.000+0200},
title = {AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US.},
url = {http://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2021.html#BhattacharyaMCH21},
year = 2021
}