Epidemics on Networks with Large Initial Conditions or Changing Structure
Joel C Miller
PLOS ONE, 2014, vol. 9, issue 7, 1-9
Abstract:
In this paper we extend previous work deriving dynamic equations governing infectious disease spread on networks. The previous work has implicitly assumed that the disease is initialized by an infinitesimally small proportion of the population. Our modifications allow us to account for an arbitrarily large initial proportion infected. This helps resolve an apparent paradox in earlier work whereby the number of susceptible individuals could increase if too many individuals were initially infected. It also helps explain an apparent small deviation that has been observed between simulation and theory. An advantage of this modification is that it allows us to account for changes in the structure or behavior of the population during the epidemic.
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0101421 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 01421&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0101421
DOI: 10.1371/journal.pone.0101421
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().