Exploring the socio-economic and environmental components of infectious diseases using multivariate geovisualization: West Nile Virus

PeerJ
Abhishek K KalaChetan Tiwari

Abstract

This study postulates that underlying environmental conditions and a susceptible population's socio-economic status should be explored simultaneously to adequately understand a vector borne disease infection risk. Here we focus on West Nile Virus (WNV), a mosquito borne pathogen, as a case study for spatial data visualization of environmental characteristics of a vector's habitat alongside human demographic composition for understanding potential public health risks of infectious disease. Multiple efforts have attempted to predict WNV environmental risk, while others have documented factors related to human vulnerability to the disease. However, analytical modeling that combines the two is difficult due to the number of potential explanatory variables, varying spatial resolutions of available data, and differing research questions that drove the initial data collection. We propose that the use of geovisualization may provide a glimpse into the large number of potential variables influencing the disease and help distill them into a smaller number that might reveal hidden and unknown patterns. This geovisual look at the data might then guide development of analytical models that can combine environmental and socio-economic data. ...Continue Reading

References

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Software Mentioned

SOM
Esri Integrated Geographic Encoding and Referencing system ( T...
ESRI ArcGIS
ArcMap
GIS
Esri
PCP
SomVis
GeoMap
ArcGIS

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