Exploring the Association between Remotely Sensed Environmental Parameters and Surveillance Disease Data: An Application to the Spatiotemporal Modelling of Schistosomiasis in Ghana

Wrable, Madeline.
2017

Abstract: Schistosomiasis control in sub-Saharan Africa is enacted primarily through mass drug administration, where predictive modeling plays an important role in filling knowledge gaps in the distribution of disease burden. Remote sensing (RS) satellite imagery is used to predictively model infectious disease transmission in schistosomiasis, since transmission requires environmental conditions t... read more

Subjects
Tufts University. Department of Civil and Environmental Engineering.
Permanent URL
http://hdl.handle.net/10427/012557
ID: tufts:22469
To Cite: DCA Citation Guide