Abstract
In recent years, the application of spatial analysis in the context of epidemiologic surveillance and research has increased exponentially. Today, the use of spatial statistics extend beyond descriptive mapping to analyze and visualize the underlying spatial patterns of human dynamics; offering epidemiologists and public health researchers new and richer ways to visualize illness, and understand of the underlying spatial dynamics of cancer. For cancer prevention and control, such methods facilitate visualization of high risk areas and identification of spatially heterogeneous risk factors, both of which aid in prioritizing regions that would benefit from additional health resources, such as screening programs and treatment services. Although these sophisticated spatial methodologies are widely available, they have been slow to adoption in the field of cancer epidemiology, and conventional “nonspatial” statistical methods are still most commonly used to describe and understand the burden of breast cancer, and the relative contribution of social and geographic disparities. In this chapter, we seek to better understand how geospatial methods are being applied to understand the epidemiology of breast cancer. We conducted a systematic literature review to describe the contexts in which geospatial methods have been employed, including the types of research questions, populations studied, sophistication of the techniques employed, and disciplinary composition of the author groups. We assess the strengths and limitations of these approaches and offer guidance on future directions with spatial breast cancer epidemiology.
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Thompson, C.A., Ilango, S., Gibbons, J., Nara, A., Tsou, MH. (2019). Systematic Review of Geospatial Approaches to Breast Cancer Epidemiology. In: Berrigan, D., Berger, N. (eds) Geospatial Approaches to Energy Balance and Breast Cancer. Energy Balance and Cancer, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-030-18408-7_7
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