To do this you would need the location--by street address, postal code, hospital district or some other marker, for patients diagnosed with this cancer. Since it's related to others I'd suggest all oral-esophageal cancers. Since it is not communicable you'd be looking for either environmental or social attributes that might give hints as to increased incidence. So with the locational data you would want specifics, especially ethnicity of diagnoses persons, history of smoking or tobacco substitutes, etc. In the 1979 US Health Atlas they found hotspots of oral cancers whose source, it turned out, were women using snuff and chew. A new paper soon to be published identifies hotspots in a Canadian jurisdiction and their relation to the use of pon--tobacco and beetle nut in an area of high ethnicity. So the spatial component, when it occurs, is often related to cultural factors.
To do this you would need the location--by street address, postal code, hospital district or some other marker, for patients diagnosed with this cancer. Since it's related to others I'd suggest all oral-esophageal cancers. Since it is not communicable you'd be looking for either environmental or social attributes that might give hints as to increased incidence. So with the locational data you would want specifics, especially ethnicity of diagnoses persons, history of smoking or tobacco substitutes, etc. In the 1979 US Health Atlas they found hotspots of oral cancers whose source, it turned out, were women using snuff and chew. A new paper soon to be published identifies hotspots in a Canadian jurisdiction and their relation to the use of pon--tobacco and beetle nut in an area of high ethnicity. So the spatial component, when it occurs, is often related to cultural factors.
See the attached link for a study that was done to assess the spatial patterns of cancer incidence in the Fars Province, based on cancer registry data and to determine geographical clusters. It may add insights to your study
with GIS you could generate several layers (for example land attributes or hotspots), then with buffer built around a points file it is possible to intersect all factors from layers for spatial analisys and correlation between factors.
Yes you can! You just need to georeference (atribute na XY coordinate) your data based on an address, or area code (municipality, census block).
The explanatory variables (either envrionmental or socioedemographic) can be georeferenced as well, and then you just need to match your cases with your exposures using na intersect/buffer function, available on GIS.