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Stuctural analysis of a controlled compartmental model of disease propagation. / Gromov, Dmitry.

2019 SICE International Symposium on Control Systems (SICE ISCS): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 33-38 8758777.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Gromov, D 2019, Stuctural analysis of a controlled compartmental model of disease propagation. in 2019 SICE International Symposium on Control Systems (SICE ISCS): Proceedings., 8758777, Institute of Electrical and Electronics Engineers Inc., pp. 33-38, 2019 SICE International Symposium on Control Systems, SICE ISCS 2019, Kumamoto, Japan, 7/03/19. https://doi.org/10.23919/SICEISCS.2019.8758777

APA

Gromov, D. (2019). Stuctural analysis of a controlled compartmental model of disease propagation. In 2019 SICE International Symposium on Control Systems (SICE ISCS): Proceedings (pp. 33-38). [8758777] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SICEISCS.2019.8758777

Vancouver

Gromov D. Stuctural analysis of a controlled compartmental model of disease propagation. In 2019 SICE International Symposium on Control Systems (SICE ISCS): Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 33-38. 8758777 https://doi.org/10.23919/SICEISCS.2019.8758777

Author

Gromov, Dmitry. / Stuctural analysis of a controlled compartmental model of disease propagation. 2019 SICE International Symposium on Control Systems (SICE ISCS): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 33-38

BibTeX

@inproceedings{c996282ccba64c9dabf1a804e4459025,
title = "Stuctural analysis of a controlled compartmental model of disease propagation",
abstract = "In this paper, we formally define a class of controlled compartmental models of disease propagation and analyze their properties. We use a modification of the SI epidemic model with two infection stages and two controls to illustrate our findings. In particular, we compare the efficiency of two controls and formulate conditions for a control to reduce the basic reproduction number R0 below 1.",
keywords = "Basic reproduction number, Compartmental models, Mathematical epidemiology, Population balance models, Structural analysis",
author = "Dmitry Gromov",
year = "2019",
month = mar,
day = "1",
doi = "10.23919/SICEISCS.2019.8758777",
language = "English",
isbn = "9781728111339",
pages = "33--38",
booktitle = "2019 SICE International Symposium on Control Systems (SICE ISCS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "2019 SICE International Symposium on Control Systems, SICE ISCS 2019 ; Conference date: 07-03-2019 Through 09-03-2019",

}

RIS

TY - GEN

T1 - Stuctural analysis of a controlled compartmental model of disease propagation

AU - Gromov, Dmitry

PY - 2019/3/1

Y1 - 2019/3/1

N2 - In this paper, we formally define a class of controlled compartmental models of disease propagation and analyze their properties. We use a modification of the SI epidemic model with two infection stages and two controls to illustrate our findings. In particular, we compare the efficiency of two controls and formulate conditions for a control to reduce the basic reproduction number R0 below 1.

AB - In this paper, we formally define a class of controlled compartmental models of disease propagation and analyze their properties. We use a modification of the SI epidemic model with two infection stages and two controls to illustrate our findings. In particular, we compare the efficiency of two controls and formulate conditions for a control to reduce the basic reproduction number R0 below 1.

KW - Basic reproduction number

KW - Compartmental models

KW - Mathematical epidemiology

KW - Population balance models

KW - Structural analysis

UR - http://www.scopus.com/inward/record.url?scp=85069790365&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/stuctural-analysis-controlled-compartmental-model-disease-propagation

U2 - 10.23919/SICEISCS.2019.8758777

DO - 10.23919/SICEISCS.2019.8758777

M3 - Conference contribution

SN - 9781728111339

SP - 33

EP - 38

BT - 2019 SICE International Symposium on Control Systems (SICE ISCS)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 SICE International Symposium on Control Systems, SICE ISCS 2019

Y2 - 7 March 2019 through 9 March 2019

ER -

ID: 44844460