Coupling infectious diseases, human preventive behavior, and networks - A conceptual framework for epidemic modeling
Authored by Liang Mao, Yan Yang
Date Published: 2012
DOI: 10.1016/j.socscimed.2011.10.012
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Abstract
Human-disease interactions involve the transmission of infectious
diseases among individuals and the practice of preventive behavior by
individuals. Both infectious diseases and preventive behavior diffuse
simultaneously through human networks and interact with one another, but
few existing models have coupled them together. This article proposes a
conceptual framework to fill this knowledge gap and illustrates the
model establishment. The conceptual model consists of two networks and
two diffusion processes. The two networks include: an infection network
that transmits diseases and a communication network that channels
inter-personal influence regarding preventive behavior. Both networks
are composed of same individuals but different types of interactions.
This article further introduces modeling approaches to formulize such a
framework, including the individual-based modeling approach, network
theory, disease transmission models and behavioral models. An
illustrative model was implemented to simulate a coupled-diffusion
process during an influenza epidemic. The simulation outcomes suggest
that the transmission probability of a disease and the structure of
infection network have profound effects on the dynamics of
coupled-diffusion. The results imply that current models may
underestimate disease transmissibility parameters, because human
preventive behavior has not been considered. This issue calls for a new
interdisciplinary study that incorporates theories from epidemiology, social science, behavioral science, and health psychology. (C) 2011
Elsevier Ltd. All rights reserved.
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Individual-based model
diffusion
Innovations
Pandemic influenza
Contacts
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Diary