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Networked Infectious Disease-Contaminated Water Model
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control. UIUC, Urbana, IL USA..
SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA..
UIUC, Coordinated Sci Lab, Urbana, IL USA..
UIUC, Coordinated Sci Lab, Urbana, IL USA..
2019 (English)In: 2019 18TH EUROPEAN CONTROL CONFERENCE (ECC), IEEE , 2019, p. 2018-2023Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE , 2019. p. 2018-2023
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-263406DOI: 10.23919/ECC.2019.8795741ISI: 000490488302008Scopus ID: 2-s2.0-85071599920OAI: oai:DiVA.org:kth-263406DiVA, id: diva2:1368549
Conference
18th European Control Conference (ECC), Naples, ITALY, JUN 25-28, 2019
Note

QC 20191107

Available from: 2019-11-07 Created: 2019-11-07 Last updated: 2019-11-07Bibliographically approved

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Pare, Philip E.

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