Agent based simulatable city digital twin to explore dynamics of Covid-19 pandemic

Souvik Barat; Vinay Kulkarni; Aditya Paranjape; Ritu Parchure; Shrinivas Darak

doi:10.1109/WSC57314.2022.10015396

Agent based simulatable city digital twin to explore dynamics of Covid-19 pandemic

Souvik Barat, Vinay Kulkarni, Aditya Paranjape, Ritu Parchure, Shrinivas Darak

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

2 Citations (Scopus)

Abstract

Predicting the evolution of Covid19 pandemic has been a challenge as it is significantly influenced by the characteristics of people, places and localities, dominant virus strains, extent of vaccination, and adherence to pandemic control interventions. Traditional SEIR based analyses help to arrive at a coarse-grained 'lumped up' understanding of pandemic evolution which is found wanting to determine locality-specific measures of controlling the pandemic. We comprehend the problem space from system theory perspective to develop a fine-grained simulatable city digital-twin for 'in-silico' experimentations to systematically explore - Which indicators influence infection spread to what extent? Which intervention to introduce, and when, to control the pandemic with some a-priori assurance? How best to return to a new normal without compromising individual health safety? This paper presents a digital twin centric simulation-based approach, illustrates it in a real-world context of an Indian City, and summarizes the learning and insights based on this experience.

Original language	English
Title of host publication	Proceedings of the 2022 Winter Simulation Conference, WSC 2022
Editors	B. Feng, G. Pedrielli, Y. Peng, S. Shashaani, E. Song, C.G. Corlu, L.H. Lee, E.P. Chew, T. Roeder, P. Lendermann
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	557-568
Number of pages	12
ISBN (Electronic)	9798350309713
DOIs	https://doi.org/10.1109/WSC57314.2022.10015396
Publication status	Published - 2022
Externally published	Yes
Event	Winter Simulation Conference 2022 - Guilin, China Duration: 11 Dec 2022 → 14 Dec 2022 https://ieeexplore.ieee.org/xpl/conhome/10015196/proceeding (Proceedings) https://meetings.informs.org/wordpress/wsc2022/ (Website)

Publication series

Name	Proceedings - Winter Simulation Conference
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Volume	2022-December
ISSN (Print)	0891-7736

Conference

Conference	Winter Simulation Conference 2022
Abbreviated title	WSC 2022
Country/Territory	China
City	Guilin
Period	11/12/22 → 14/12/22
Internet address	https://ieeexplore.ieee.org/xpl/conhome/10015196/proceeding (Proceedings) https://meetings.informs.org/wordpress/wsc2022/ (Website)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/WSC57314.2022.10015396

Cite this

Barat, S., Kulkarni, V., Paranjape, A., Parchure, R., & Darak, S. (2022). Agent based simulatable city digital twin to explore dynamics of Covid-19 pandemic. In B. Feng, G. Pedrielli, Y. Peng, S. Shashaani, E. Song, C. G. Corlu, L. H. Lee, E. P. Chew, T. Roeder, & P. Lendermann (Eds.), Proceedings of the 2022 Winter Simulation Conference, WSC 2022 (pp. 557-568). (Proceedings - Winter Simulation Conference; Vol. 2022-December). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/WSC57314.2022.10015396

Barat, Souvik ; Kulkarni, Vinay ; Paranjape, Aditya et al. / Agent based simulatable city digital twin to explore dynamics of Covid-19 pandemic. Proceedings of the 2022 Winter Simulation Conference, WSC 2022. editor / B. Feng ; G. Pedrielli ; Y. Peng ; S. Shashaani ; E. Song ; C.G. Corlu ; L.H. Lee ; E.P. Chew ; T. Roeder ; P. Lendermann. IEEE, Institute of Electrical and Electronics Engineers, 2022. pp. 557-568 (Proceedings - Winter Simulation Conference).

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title = "Agent based simulatable city digital twin to explore dynamics of Covid-19 pandemic",

abstract = "Predicting the evolution of Covid19 pandemic has been a challenge as it is significantly influenced by the characteristics of people, places and localities, dominant virus strains, extent of vaccination, and adherence to pandemic control interventions. Traditional SEIR based analyses help to arrive at a coarse-grained 'lumped up' understanding of pandemic evolution which is found wanting to determine locality-specific measures of controlling the pandemic. We comprehend the problem space from system theory perspective to develop a fine-grained simulatable city digital-twin for 'in-silico' experimentations to systematically explore - Which indicators influence infection spread to what extent? Which intervention to introduce, and when, to control the pandemic with some a-priori assurance? How best to return to a new normal without compromising individual health safety? This paper presents a digital twin centric simulation-based approach, illustrates it in a real-world context of an Indian City, and summarizes the learning and insights based on this experience.",

author = "Souvik Barat and Vinay Kulkarni and Aditya Paranjape and Ritu Parchure and Shrinivas Darak",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; Winter Simulation Conference 2022, WSC 2022 ; Conference date: 11-12-2022 Through 14-12-2022",

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doi = "10.1109/WSC57314.2022.10015396",

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series = "Proceedings - Winter Simulation Conference",

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Barat, S, Kulkarni, V, Paranjape, A, Parchure, R & Darak, S 2022, Agent based simulatable city digital twin to explore dynamics of Covid-19 pandemic. in B Feng, G Pedrielli, Y Peng, S Shashaani, E Song, CG Corlu, LH Lee, EP Chew, T Roeder & P Lendermann (eds), Proceedings of the 2022 Winter Simulation Conference, WSC 2022. Proceedings - Winter Simulation Conference, vol. 2022-December, IEEE, Institute of Electrical and Electronics Engineers, pp. 557-568, Winter Simulation Conference 2022, Guilin, China, 11/12/22. https://doi.org/10.1109/WSC57314.2022.10015396

Agent based simulatable city digital twin to explore dynamics of Covid-19 pandemic. / Barat, Souvik; Kulkarni, Vinay; Paranjape, Aditya et al.
Proceedings of the 2022 Winter Simulation Conference, WSC 2022. ed. / B. Feng; G. Pedrielli; Y. Peng; S. Shashaani; E. Song; C.G. Corlu; L.H. Lee; E.P. Chew; T. Roeder; P. Lendermann. IEEE, Institute of Electrical and Electronics Engineers, 2022. p. 557-568 (Proceedings - Winter Simulation Conference; Vol. 2022-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Agent based simulatable city digital twin to explore dynamics of Covid-19 pandemic

AU - Barat, Souvik

AU - Kulkarni, Vinay

AU - Paranjape, Aditya

AU - Parchure, Ritu

AU - Darak, Shrinivas

PY - 2022

Y1 - 2022

N2 - Predicting the evolution of Covid19 pandemic has been a challenge as it is significantly influenced by the characteristics of people, places and localities, dominant virus strains, extent of vaccination, and adherence to pandemic control interventions. Traditional SEIR based analyses help to arrive at a coarse-grained 'lumped up' understanding of pandemic evolution which is found wanting to determine locality-specific measures of controlling the pandemic. We comprehend the problem space from system theory perspective to develop a fine-grained simulatable city digital-twin for 'in-silico' experimentations to systematically explore - Which indicators influence infection spread to what extent? Which intervention to introduce, and when, to control the pandemic with some a-priori assurance? How best to return to a new normal without compromising individual health safety? This paper presents a digital twin centric simulation-based approach, illustrates it in a real-world context of an Indian City, and summarizes the learning and insights based on this experience.

AB - Predicting the evolution of Covid19 pandemic has been a challenge as it is significantly influenced by the characteristics of people, places and localities, dominant virus strains, extent of vaccination, and adherence to pandemic control interventions. Traditional SEIR based analyses help to arrive at a coarse-grained 'lumped up' understanding of pandemic evolution which is found wanting to determine locality-specific measures of controlling the pandemic. We comprehend the problem space from system theory perspective to develop a fine-grained simulatable city digital-twin for 'in-silico' experimentations to systematically explore - Which indicators influence infection spread to what extent? Which intervention to introduce, and when, to control the pandemic with some a-priori assurance? How best to return to a new normal without compromising individual health safety? This paper presents a digital twin centric simulation-based approach, illustrates it in a real-world context of an Indian City, and summarizes the learning and insights based on this experience.

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AN - SCOPUS:85147431606

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BT - Proceedings of the 2022 Winter Simulation Conference, WSC 2022

A2 - Feng, B.

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A2 - Peng, Y.

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A2 - Song, E.

A2 - Corlu, C.G.

A2 - Lee, L.H.

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PB - IEEE, Institute of Electrical and Electronics Engineers

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ER -

Barat S, Kulkarni V, Paranjape A, Parchure R, Darak S. Agent based simulatable city digital twin to explore dynamics of Covid-19 pandemic. In Feng B, Pedrielli G, Peng Y, Shashaani S, Song E, Corlu CG, Lee LH, Chew EP, Roeder T, Lendermann P, editors, Proceedings of the 2022 Winter Simulation Conference, WSC 2022. IEEE, Institute of Electrical and Electronics Engineers. 2022. p. 557-568. (Proceedings - Winter Simulation Conference). doi: 10.1109/WSC57314.2022.10015396

Agent based simulatable city digital twin to explore dynamics of Covid-19 pandemic

Abstract

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