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Unravelling infectious disease eco-epidemiology using Bayesian networks and scenario analysis: A case study of leptospirosis in Fiji

Lau, Colleen; Mayfield, Helen; Lowry, John H; Watson, Connall H.; Kama, Mike; Nilles, Eric J; Smith, Carl Stephen

Description

Regression models are the standard approaches used in infectious disease epidemiology, but have limited ability to represent causality or complexity. We explore Bayesian networks (BNs) as an alternative approach for modelling infectious disease transmission, using leptospirosis as an example. Data were obtained from a leptospirosis study in Fiji in 2013. We compared the performance of naïve versus expert-structured BNs for modelling the relative importance of animal species in disease...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
URI: http://hdl.handle.net/1885/250636
Source: Environmental Modelling and Software
DOI: 10.1016/j.envsoft.2017.08.004

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