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Int. J. Environ. Res. Public Health 2019, 16(2), 176; https://doi.org/10.3390/ijerph16020176

Modeling Schistosoma japonicum Infection under Pure Specification Bias: Impact of Environmental Drivers of Infection

1
Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands
2
Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands
3
UQ Spatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Gatton 4343 QLD, Australia
4
Child Health and Environment Program, Child Health Research Centre, The University of Queensland, South Brisbane 4101 QLD, Australia
*
Author to whom correspondence should be addressed.
Received: 14 November 2018 / Revised: 18 December 2018 / Accepted: 3 January 2019 / Published: 9 January 2019
(This article belongs to the Section Infectious Disease Epidemiology)
PDF [550 KB, uploaded 9 January 2019]   |   Review Reports

Abstract

Keywords: schistosomiasis; pure specification bias; uncertainty; Bayesian statistics; convolution model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Araujo Navas, A.L.; Osei, F.; Leonardo, L.R.; Soares Magalhães, R.J.; Stein, A. Modeling Schistosoma japonicum Infection under Pure Specification Bias: Impact of Environmental Drivers of Infection. Int. J. Environ. Res. Public Health 2019, 16, 176.

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