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Modeling influenza-like illnesses through composite compartmental models

Nir Levy, Michael Iv and Elad Yom-Tov

Physica A: Statistical Mechanics and its Applications, 2018, vol. 494, issue C, 288-293

Abstract: Epidemiological models for the spread of pathogens in a population are usually only able to describe a single pathogen. This makes their application unrealistic in cases where multiple pathogens with similar symptoms are spreading concurrently within the same population. Here we describe a method which makes possible the application of multiple single-strain models under minimal conditions. As such, our method provides a bridge between theoretical models of epidemiology and data-driven approaches for modeling of influenza and other similar viruses.

Keywords: Influenza-like illness; SIR models; Social media (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:494:y:2018:i:c:p:288-293

DOI: 10.1016/j.physa.2017.12.052

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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