Andrea Araujo

Andrea Araujo
University of Twente | UT · International Institute for Geo-Information Science and Earth Observation (ITC)

Doctor of Philosophy

About

14
Publications
1,490
Reads
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24
Citations

Publications

Publications (14)
Article
Full-text available
Background: The modifiable areal unit problem (MAUP) arises when the support size of a spatial variable affects the relationship between prevalence and environmental risk factors. Its effect on schistosomiasis modelling studies could lead to unreliable parameter estimates. The present research aims to quantify MAUP effects on environmental drivers...
Preprint
Full-text available
Background: The modifiable areal unit problem (MAUP) arises when the support size of a spatial variable affects the relationship between prevalence and environmental risk factors. Its effect on schistosomiasis modelling studies could lead to unreliable parameter estimates. The present research aims to quantify MAUP effects on environmental drivers...
Preprint
Full-text available
Background: The modifiable areal unit problem (MAUP) arises when the support size of a spatial variable affects the relationship between prevalence and environmental risk factors. Its effect on schistosomiasis modelling studies could lead to unreliable parameter estimates. The present research aims to quantify MAUP effects on environmental drivers...
Preprint
Full-text available
Background: The modifiable areal unit problem (MAUP) arises when the support size of a spatial variable affects the relationship between prevalence and environmental risk factors. Its effect on Schistosomiasis modelling studies could lead to unreliable parameter estimates. The present research aims to quantify MAUP effects on environmental drivers...
Article
Full-text available
Keywords: schistosomiasis; pure specification bias; uncertainty; Bayesian statistics; convolution model
Article
Full-text available
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 nature of the positional exposure mismatch in modelling SCH...
Article
Full-text available
Background: Spatial modelling of STH and schistosomiasis epidemiology is now commonplace. Spatial epidemiological studies help inform decisions regarding the number of people at risk as well as the geographic areas that need to be targeted with mass drug administration; however, limited attention has been given to propagated uncertainties, their i...
Data
List of papers that fulfilled the inclusion criteria and were included in the review (DOCX)
Data
List of papers that fulfilled the inclusion criteria but were excluded from the review for being review papers. (DOCX)

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