Modelling local areas of exposure to Schistosoma japonicum in a limited survey data environment

Modelling local areas of exposure to Schistosoma japonicum in a limited survey data environment

Abstract Background Spatial modelling studies of schistosomiasis (SCH) are now commonplace. Covariate values are commonly extracted at survey locations, where infection does not always take place, resulting in an unknown positional exposure mismatch. The present research aims to: (i) describe the na...

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Bibliographic Details
Main Authors: Andrea L. Araujo Navas, Ricardo J. Soares Magalhães, Frank Osei, Raffy Jay C. Fornillos, Lydia R. Leonardo, Alfred Stein
Format: Article
Language:English
Published: BMC 2018-08-01
Series:Parasites & Vectors
Subjects:
Schistosomiasis
Spatial modeling
Bayesian network
Exposure uncertainty
Risk factors
Online Access:http://link.springer.com/article/10.1186/s13071-018-3039-6

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http://link.springer.com/article/10.1186/s13071-018-3039-6

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