TY - GEN
T1 - Networked infectious disease-contaminated water model
AU - Pare, Philip E.
AU - Liu, Ji
AU - Beck, Carolyn L.
AU - Basar, Tamer
N1 - Philip E. Paré is with the Division of Decision and Control Systems at KTH, Sweden ([email protected]) (paper written by Philip while he was a PhD candidate at the University of Illinois at Urbana-Champaign (UIUC)). Ji Liu is with the Department of Electrical and Computer Engineering at Stony Brook University ([email protected]). Carolyn L. Beck and Tamer Bas¸ar are with the Coordinated Science Laboratory at UIUC ({beck3, basar1}@illinois.edu). The work of Bas¸ar was supported in part by Office of Naval Research (ONR) MURI Grant N00014-16-1-2710 and Army Research Office (ARO) Grant W911NF-16-1-0485. The work of Paré and Beck was sponsored in part by NSF grants CNS 1544953 and ECCS 1509302.
The work of Basar was supported in part by Office of Naval Research (ONR) MURI Grant N00014-16-1-2710 and Army Research Office (ARO) Grant W911NF-16-1-0485. The work of Par? and Beck was sponsored in part by NSF grants CNS 1544953 and ECCS 1509302.
PY - 2019/6
Y1 - 2019/6
N2 - This paper proposes a continuous-time virus spreading model that includes a human-contact network and a water component that may be contaminated. The main motivating applications are modeling infectious waterborne diseases such as cholera, SARS, and amoebiasis (hand-to-mouth). We present the model and its derivation, explore the equilibria of the model, and analyze the healthy equilibria. We illustrate the behavior of the model via simulation, and demonstrate how the proposed model captures the behavior of Dr. John Snow's pioneering cholera dataset.
AB - This paper proposes a continuous-time virus spreading model that includes a human-contact network and a water component that may be contaminated. The main motivating applications are modeling infectious waterborne diseases such as cholera, SARS, and amoebiasis (hand-to-mouth). We present the model and its derivation, explore the equilibria of the model, and analyze the healthy equilibria. We illustrate the behavior of the model via simulation, and demonstrate how the proposed model captures the behavior of Dr. John Snow's pioneering cholera dataset.
UR - http://www.scopus.com/inward/record.url?scp=85071599920&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071599920&partnerID=8YFLogxK
U2 - 10.23919/ECC.2019.8795741
DO - 10.23919/ECC.2019.8795741
M3 - Conference contribution
AN - SCOPUS:85071599920
T3 - 2019 18th European Control Conference, ECC 2019
SP - 2018
EP - 2023
BT - 2019 18th European Control Conference, ECC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th European Control Conference, ECC 2019
Y2 - 25 June 2019 through 28 June 2019
ER -