TY - GEN
T1 - Multi-Layer Disease Spread Model with a Water Distribution Network
AU - Pare, Philip E.
AU - Liu, Ji
AU - Sandberg, Henrik
AU - Johansson, Karl H.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - This paper proposes a layered networked SIWS (Susceptible-Infected-Water-Susceptible) model, for an SIS-type waterborne disease spreading over a human contact network connected to a water distribution network that has a pathogen spreading in it. Conditions for local and global stability of the healthy state, where no one is sick and the water network is not contaminated, are provided. We also pose an observability problem, and show under certain conditions if you observe some of the human contact network you can recover the pathogen levels in the water network.
AB - This paper proposes a layered networked SIWS (Susceptible-Infected-Water-Susceptible) model, for an SIS-type waterborne disease spreading over a human contact network connected to a water distribution network that has a pathogen spreading in it. Conditions for local and global stability of the healthy state, where no one is sick and the water network is not contaminated, are provided. We also pose an observability problem, and show under certain conditions if you observe some of the human contact network you can recover the pathogen levels in the water network.
UR - https://www.scopus.com/pages/publications/85082468740
U2 - 10.1109/CDC40024.2019.9029305
DO - 10.1109/CDC40024.2019.9029305
M3 - Conference contribution
AN - SCOPUS:85082468740
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 8335
EP - 8340
BT - 2019 IEEE 58th Conference on Decision and Control, CDC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 58th IEEE Conference on Decision and Control, CDC 2019
Y2 - 11 December 2019 through 13 December 2019
ER -