Bayesian networks in infectious disease eco-epidemiology

Lau, Colleen L. and Smith, Carl S. (2016) Bayesian networks in infectious disease eco-epidemiology. Reviews on Environmental Health, 31 1: 111-113. doi:10.1515/reveh-2015-0052


Author Lau, Colleen L.
Smith, Carl S.
Title Bayesian networks in infectious disease eco-epidemiology
Journal name Reviews on Environmental Health   Check publisher's open access policy
ISSN 0048-7554
2191-0308
Publication date 2016-01-16
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1515/reveh-2015-0052
Open Access Status Not Open Access
Volume 31
Issue 1
Start page 111
End page 113
Total pages 5
Place of publication Berlin, Germany
Publisher Walter de Gruyter GmbH
Language eng
Abstract Globally, infectious diseases are responsible for a significant burden on human health. Drivers of disease transmission depend on interactions between humans, the environment, vectors, carriers, and pathogens; transmission dynamics are therefore potentially highly complex. Research in infectious disease eco-epidemiology has been rapidly gaining momentum because of the rising global importance of disease emergence and outbreaks, and growing understanding of the intimate links between human health and the environment. The scientific community is increasingly recognising the need for multidisciplinary translational research, integrated approaches, and innovative methods and tools to optimise risk prediction and control measures. Environmental health experts have also identified the need for more advanced analytical and biostatistical approaches to better determine causality, and deal with unknowns and uncertainties inherent in complex systems. In this paper, we discuss the use of Bayesian networks in infectious disease eco-epidemiology, and the potential for developing dynamic tools for public health decision-making and improving intervention strategies.
Keyword Bayesian networks
Eco-epidemiology
Infectious disease epidemiology
Leptospirosis
Zoonoses
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: HERDC Pre-Audit
School of Agriculture and Food Sciences
Child Health Research Centre Publications
 
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Created: Tue, 26 Jan 2016, 03:18:31 EST by Dr Carl Smith on behalf of School of Agriculture and Food Sciences