Network Models: An Underutilized Tool in Wildlife Epidemiology?
Author(s) -
Meggan E. Craft,
Damien Caillaud
Publication year - 2011
Publication title -
interdisciplinary perspectives on infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.593
H-Index - 28
eISSN - 1687-7098
pISSN - 1687-708X
DOI - 10.1155/2011/676949
Subject(s) - wildlife , popularity , data science , outbreak , transmission (telecommunications) , epidemiology , field (mathematics) , infectious disease (medical specialty) , computer science , disease , geography , ecology , medicine , biology , telecommunications , psychology , virology , social psychology , mathematics , pathology , pure mathematics
Although the approach of contact network epidemiology has been increasing in popularity for studying transmission of infectious diseases in human populations, it has generally been an underutilized approach for investigating disease outbreaks in wildlife populations. In this paper we explore the differences between the type of data that can be collected on human and wildlife populations, provide an update on recent advances that have been made in wildlife epidemiology by using a network approach, and discuss why networks might have been underutilized and why networks could and should be used more in the future. We conclude with ideas for future directions and a call for field biologists and network modelers to engage in more cross-disciplinary collaboration.
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