Themovie Ben-Hur highlights the dynamics of contagion associated with leprosy, a pattern of forced aggregation driven by the emergence of symptoms and the fear of contagion. The 2014 Ebola outbreaks reaffirmed the dynamics of redistribution among symptomatic and asymptomatic or non-infected individuals as a way to avoid contagion. In this manuscript, we explore the establishment of clusters of infection via density-dependence avoidance (diffusive instability). We illustrate this possibility in two ways: using a phenomenological driven model where disease incidence is assumed to be a decreasing function of the size of the symptomatic population and with a model that accounts for the deliberate movement of individuals in response to a gradient of symptomatic infectious individuals. The results in this manuscript are preliminary but indicative of the role that behavior, here modeled in crude simplistic ways, may have on disease dynamics, particularly on the spatial redistribution of epidemiological classes. Â\copyright Springer International Publishing Switzerland 2016.
Yong, K.E.; Mathematics/Science Subdivision, University of Hawaiâi - West OâahuUnited States; email: kamuela.yong@hawaii.edu
affiliation
Mathematics/Science Subdivision, University of Hawaiâi - West Oâahu, Kapolei, HI, United States; Instituto Nacional De Salud Pública, Universidad 655, Santa MarÃ-a AhuacatitlÃ!'n, Cuernavaca, Morelos, Mexico; Simon A. Levin Mathematical, Computational and Modeling Science Center, Arizona State University, Tempe, AZ, United States
%0 Book
%1 Yong2016169
%A Yong, K.E.
%A DÃ-az Herrera, E.
%A Castillo-Chavez, C.
%D 2016
%I Springer International Publishing
%J Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases
%K imported
%P 169-185
%R http://dx.doi.org/10.1007/978-3-319-40413-4_11
%T From bee species aggregation to models of disease avoidance: The ben-hur effect
%U http://dx.doi.org/10.1007/978-3-319-40413-4_11
%X Themovie Ben-Hur highlights the dynamics of contagion associated with leprosy, a pattern of forced aggregation driven by the emergence of symptoms and the fear of contagion. The 2014 Ebola outbreaks reaffirmed the dynamics of redistribution among symptomatic and asymptomatic or non-infected individuals as a way to avoid contagion. In this manuscript, we explore the establishment of clusters of infection via density-dependence avoidance (diffusive instability). We illustrate this possibility in two ways: using a phenomenological driven model where disease incidence is assumed to be a decreasing function of the size of the symptomatic population and with a model that accounts for the deliberate movement of individuals in response to a gradient of symptomatic infectious individuals. The results in this manuscript are preliminary but indicative of the role that behavior, here modeled in crude simplistic ways, may have on disease dynamics, particularly on the spatial redistribution of epidemiological classes. Â\copyright Springer International Publishing Switzerland 2016.
%@ 9783319404134; 9783319404110
@book{Yong2016169,
abstract = {Themovie Ben-Hur highlights the dynamics of contagion associated with leprosy, a pattern of forced aggregation driven by the emergence of symptoms and the fear of contagion. The 2014 Ebola outbreaks reaffirmed the dynamics of redistribution among symptomatic and asymptomatic or non-infected individuals as a way to avoid contagion. In this manuscript, we explore the establishment of clusters of infection via density-dependence avoidance (diffusive instability). We illustrate this possibility in two ways: using a phenomenological driven model where disease incidence is assumed to be a decreasing function of the size of the symptomatic population and with a model that accounts for the deliberate movement of individuals in response to a gradient of symptomatic infectious individuals. The results in this manuscript are preliminary but indicative of the role that behavior, here modeled in crude simplistic ways, may have on disease dynamics, particularly on the spatial redistribution of epidemiological classes. {\^A}{\copyright} Springer International Publishing Switzerland 2016.},
added-at = {2017-11-10T22:48:29.000+0100},
affiliation = {Mathematics/Science Subdivision, University of Hawai{\^a}i - West O{\^a}ahu, Kapolei, HI, United States; Instituto Nacional De Salud P{\~A}ºblica, Universidad 655, Santa Mar{\~A}-a Ahuacatitl{\~A}{!'}n, Cuernavaca, Morelos, Mexico; Simon A. Levin Mathematical, Computational and Modeling Science Center, Arizona State University, Tempe, AZ, United States},
author = {Yong, K.E. and D{\~A}-az Herrera, E. and Castillo-Chavez, C.},
author_keywords = {Behavior epidemics; Behavioral ecology; Diffusive instability; Ebola; Infection clusters; Leprosy},
biburl = {https://www.bibsonomy.org/bibtex/294e46c4611fac6188ce0ea29ba39ae06/ccchavez},
correspondence_address1 = {Yong, K.E.; Mathematics/Science Subdivision, University of Hawai{\^a}i - West O{\^a}ahuUnited States; email: kamuela.yong@hawaii.edu},
date-added = {2017-11-10 21:45:26 +0000},
date-modified = {2017-11-10 21:45:26 +0000},
document_type = {Book Chapter},
doi = {http://dx.doi.org/10.1007/978-3-319-40413-4_11},
interhash = {c3d8a869b55b448e5cd2f2acb7a7b68a},
intrahash = {94e46c4611fac6188ce0ea29ba39ae06},
isbn = {9783319404134; 9783319404110},
journal = {Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases},
keywords = {imported},
language = {English},
pages = {169-185},
publisher = {Springer International Publishing},
timestamp = {2017-11-10T22:48:29.000+0100},
title = {From bee species aggregation to models of disease avoidance: The ben-hur effect},
url = {http://dx.doi.org/10.1007/978-3-319-40413-4_11},
year = 2016
}