Modeling dengue outbreaks
Authored by Claudio O Dorso, Marcelo Otero, Daniel H Barmak, Hernan G Solari, Mario A Natiello
Date Published: 2011
DOI: 10.1016/j.mbs.2011.04.006
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Abstract
We introduce a dengue model (SEIR) where the human individuals are
treated on an individual basis (IBM) while the mosquito population, produced by an independent model, is treated by compartments (SEI). We
study the spread of epidemics by the sole action of the mosquito.
Exponential, deterministic and experimental distributions for the
(human) exposed period are considered in two weather scenarios, one
corresponding to temperate climate and the other to tropical climate.
Virus circulation, final epidemic size and duration of outbreaks are
considered showing that the results present little sensitivity to the
statistics followed by the exposed period provided the median of the
distributions are in coincidence. Only the time between an introduced
(imported) case and the appearance of the first symptomatic secondary
case is sensitive to this distribution. We finally show that the IBM
model introduced is precisely a realization of a compartmental model, and that at least in this case, the choice between compartmental models
or IBM is only a matter of convenience. (C) 2011 Elsevier Inc. All
rights reserved.
Tags
Dynamics
Heterogeneity
population
transmission
Hemorrhagic-fever
Infectious-disease
Epidemic models
Aedes-aegypti diptera
Realistic distributions
Southern india