Analysis of a Model with Multiple Infectious Stages and Arbitrarily Distributed Stage Durations

Yang, Y., Xu, D., and Feng, Z.. "Analysis of a Model with Multiple Infectious Stages and Arbitrarily Distributed Stage Durations." Mathematical Modelling of Natural Phenomena 3.7 (2008): 180-193. <http://eudml.org/doc/222420>.

@article{Yang2008,
abstract = { Infectious diseases may have multiple infectious stages with very different epidemiological attributes, including infectivity and disease progression. These stages are often assumed to have exponentially distributed durations in epidemiological models. However, models that use the exponential distribution assumption (EDA) may generate biased and even misleading results in some cases. This discrepancy is particularly damaging if the models are employed to assist policy-makers in disease control and interventions. This paper studies a mathematical model that includes multiple infectious stages and general distributions for the stage durations (with the exponential distribution as a special case). Formulas for the control reproductive number, Rc, and the basic reproductive number, R0, are derived, which can be conveniently applied to models in which specific stage distributions are assumed. It is also shown that the disease dynamics are determined by the reproductive numbers. },
author = {Yang, Y., Xu, D., Feng, Z.},
journal = {Mathematical Modelling of Natural Phenomena},
keywords = {epidemiological model; disease stage distribution; disease control},
language = {eng},
month = {10},
number = {7},
pages = {180-193},
publisher = {EDP Sciences},
title = {Analysis of a Model with Multiple Infectious Stages and Arbitrarily Distributed Stage Durations},
url = {http://eudml.org/doc/222420},
volume = {3},
year = {2008},
}

TY - JOUR
AU - Yang, Y.
AU - Xu, D.
AU - Feng, Z.
TI - Analysis of a Model with Multiple Infectious Stages and Arbitrarily Distributed Stage Durations
JO - Mathematical Modelling of Natural Phenomena
DA - 2008/10//
PB - EDP Sciences
VL - 3
IS - 7
SP - 180
EP - 193
AB - Infectious diseases may have multiple infectious stages with very different epidemiological attributes, including infectivity and disease progression. These stages are often assumed to have exponentially distributed durations in epidemiological models. However, models that use the exponential distribution assumption (EDA) may generate biased and even misleading results in some cases. This discrepancy is particularly damaging if the models are employed to assist policy-makers in disease control and interventions. This paper studies a mathematical model that includes multiple infectious stages and general distributions for the stage durations (with the exponential distribution as a special case). Formulas for the control reproductive number, Rc, and the basic reproductive number, R0, are derived, which can be conveniently applied to models in which specific stage distributions are assumed. It is also shown that the disease dynamics are determined by the reproductive numbers.
LA - eng
KW - epidemiological model; disease stage distribution; disease control
UR - http://eudml.org/doc/222420
ER -