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GEOFIL: A spatially-explicit agent-based modelling framework for predicting the long-term transmission dynamics of lymphatic filariasis in American Samoa

Xu, Zhijing; Graves, Patricia; Lau, Colleen; Clements, Archie; Geard, Nicholas; Glass, Kathryn


In this study, a spatially-explicit agent-based modelling framework GEOFIL was developed to predict lymphatic filariasis (LF) transmission dynamics in American Samoa. GEOFIL included individual-level information on age, gender, disease status, household location, household members, workplace/school location and colleagues/schoolmates at each time step during the simulation. In American Samoa, annual mass drug administration from 2000 to 2006 successfully reduced LF prevalence dramatically....[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Journal article
Source: Epidemics: the journal of infectious disease dynamics
DOI: 10.1016/j.epidem.2018.12.003
Access Rights: Open Access


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