Infectious diseases dynamics and complexity: Multicompartment and multivariate state-space modeling

Kidane Desta Gebreyesus, Chuan Hsiung Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


It is estimated that more than 60% of the infectious diseases in humans can be passed from animals. But, research in the past few decades had been focused on human-To- human disease transmission. Wide range of mathematical and epidemiological models have been developed. However, despite the development of these computational models in the area of infectious diseases research, modeling for understanding and controlling animal-To-human or animal-To-Animal (of different species) disease transmission is lacking. Here, we propose a multicompartment model, which takes human and animal or different species of animals interactions into account. We further formulate compartment model with clustering-This can be used in a large population with diverse geographical locations-To obtain an optimal parameter estimations with less computational complexity. We also develop a multivarate state-space model, which enables us to capture features of data su ch as diseases variability, meteorological conditions, time variations, and measurement errors. Our approaches can be used for various types of transmitted diseases including Ebola, MERS-Coronavirus, Bird flu, tuberculosis and other zoonotic diseases.

Original languageEnglish
Title of host publicationWCECS 2015 - World Congress on Engineering and Computer Science 2015
EditorsCraig Douglas, Jon Burgstone, Warren S. Grundfest, Jon Burgstone, Craig Douglas, S. I. Ao
PublisherNewswood Limited
Number of pages4
ISBN (Electronic)9789881404725
StatePublished - Oct 2015
Event2015 World Congress on Engineering and Computer Science, WCECS 2015 - San Francisco, United States
Duration: 21 Oct 201523 Oct 2015

Publication series

NameLecture Notes in Engineering and Computer Science
ISSN (Print)2078-0958


Conference2015 World Congress on Engineering and Computer Science, WCECS 2015
Country/TerritoryUnited States
CitySan Francisco


  • Animal-To-human
  • Disease transmissions
  • Multicompartment model
  • State-space model


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