2015-06-11T21:30:45 n9925

Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: changes (%) in relative risks with 95% credible intervals from Bayesian spatiotemporal CAR models of cryptosporidiosis in Queensland, Australia

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This dataset was gathered to predict the spatial distribution of the cryptosporidiosis infection using selected social-ecological factors and climate variables. Predictions were completed using a Bayesian CART (Classification and Regression Tree) model.

The dataset presents the changes (%) in relative risks with 95% credible intervals from Bayesian spatio-temporal CAR models of cryptosporidiosis in Queensland, Australia.

Location of data collection

kmlPolyCoords
153.552920,-9.929730 137.994575,-9.929730 137.994575,-29.178588 153.552920,-29.178588 153.552920,-9.929730

Publications

Hu, Wen, O'Leary, Rebecca, Mengersen, Kerrie, & Low-Choy, Sama (2011) Bayesian Classification and regression trees for predicting incidence of cryptosporidiosis. PLoS ONE, 6(8), pp. 1-8. http://eprints.qut.edu.au/52459/

Research areas

Interval
Crystosporidiosis
Spatial distribution
Infectious diseases
Decision trees
Probability distribution
Bayes theorem
Risks
Credible
Spatio-temporal
Bayesian
Cryptosporidium

Cite this collection

Hu, Wenbiao; O'Leary, Rebecca A.; Mengersen, Kerrie; Choy, Samantha Low (2013): Changes (%) in relative risks with 95% credible intervals from Bayesian spatiotemporal CAR models of cryptosporidiosis in Queensland, Australia. Table_5.xls. PLOS ONE. 10.1371/journal.pone.0023903.t005

Related information

Rebecca O'Leary, Research collaborator http://goo.gl/LqhdR6

Access the data

Licence


Creative Commons Attribution 4.0 (CC-BY)
http://creativecommons.org/licenses/by/4.0/

Copyright

© 2011 Hu et al.

Dates of data collection

From 2001 to 2011

Connections

Was collected by
Kerrie Mengersen  (Researcher)
Sama Low Choy  (Researcher)
Wenbiao Hu  (Researcher)

Contacts

Other

Date record created:
2014-07-03T16:26:55
Date record modified:
2015-06-11T21:30:45
Record status:
Published - Open Access