University of Twente Student Theses


Remote sensing of climate variability and cholera in sub-Saharan Africa: Spatial assessment

Tucho, Getinet Tafese (2019) Remote sensing of climate variability and cholera in sub-Saharan Africa: Spatial assessment.

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Abstract:Cholera is a severe endemic disease in Sub-Saharan Africa which is associatedwith climate variability related potential covariates.Cholera incidencecan be influencedby socio-economic factors for instance; inadequate public infrastructure, poor cultural practice and lack of communalawareness about the disease incidenceand itsrisk. Thus, investigation of the possible risk factors of the disease would be of great importance,especiallyfor public health authoritiesto design intervention strategies to mitigate the disease risk.Geostatistical analysis methods are essentialtools to model disease spatialvariability. Generalizedlinear model (GLM) is a statistical model that allows responsevariables which have a distribution other than the normal distribution with the assumption of Poisson distribution in which mean and variance are equal. The objective of this particular study was to investigate impacts of climate variability and potential environmental covariates that have a relativelystrong associationwith the annual count of cholera cases in Sub-SaharanAfrica using a Poisson generalizedlinear model (GLM).
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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