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Title: Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities

Authors:
; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI Identifier:
1807636
Grant/Contract Number:  
SC0019303
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Computer Methods in Applied Mechanics and Engineering
Additional Journal Information:
Journal Name: Computer Methods in Applied Mechanics and Engineering Journal Volume: 385 Journal Issue: C; Journal ID: ISSN 0045-7825
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English

Citation Formats

Chen, Peng, Wu, Keyi, and Ghattas, Omar. Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities. Netherlands: N. p., 2021. Web. doi:10.1016/j.cma.2021.114020.
Chen, Peng, Wu, Keyi, & Ghattas, Omar. Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities. Netherlands. https://doi.org/10.1016/j.cma.2021.114020
Chen, Peng, Wu, Keyi, and Ghattas, Omar. Mon . "Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities". Netherlands. https://doi.org/10.1016/j.cma.2021.114020.
@article{osti_1807636,
title = {Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities},
author = {Chen, Peng and Wu, Keyi and Ghattas, Omar},
abstractNote = {},
doi = {10.1016/j.cma.2021.114020},
journal = {Computer Methods in Applied Mechanics and Engineering},
number = C,
volume = 385,
place = {Netherlands},
year = {2021},
month = {11}
}

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