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Waldo Tobler's first law of geography states that things closer in space are more similar than things farther apart in space. Thus, it is no surprise that disease burdens, often measured by disease rates, create spatial patterns in their distribution and spread. These patterns can be caused by an array of factors, including population demographics, rate and method of infectious disease transmission, environmental contamination, health behaviors, access to health care, and spatial distribution of social or economic conditions.

Identifying spatial patterns of disease distribution or spread is valuable to both public health practice and the expansion of scientific knowledge. Visualization and analysis of spatial patterns can inform public health and medical efforts by improving public health surveillance, identifying places that require additional resources, identifying the best location for a health care facility, generating hypotheses about disease etiology and spread, and forming the basis for additional study. It can also raise public awareness of risk, potentially affecting behavioral or other risk factors for disease. Analyses that relate suspected risk factors for disease to burdens of disease can provide a basis for public health intervention, focusing time and effort on evidence-based approaches to disease prevention and health promotion. Figure 1 shows a global view of HIV infection.

Figure 1 A global view of HIV infection. According to UN estimates, about 33 million people worldwide were living with HIV/AIDS in 2007.

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Source: Figure 2.2 from p. 33 in 2008 Report on the Global AIDS Epidemic by UNAIDS. Copyright © Joint United Nations Programme on HIV/AIDS (UNAIDS) 2008. Reprinted with permission from UNAIDS.

Historical Foundations

Although the acknowledgment of the relationship between environment and health can be traced back to 400 BC, when Hippocrates wrote On Airs, Waters, and Places, the first high-profile, and best-known, study of disease geography is likely that undertaken by John Snow. There was an epidemic of cholera in London during the year 1854. Snow, who hypothesized that cholera was a water-borne disease, plotted cases of cholera in the London neighborhood of Soho on a dot map and identified a water pump on Broad Street as the likely source of the epidemic. The handle was removed from the pump, disabling it, and the epidemic abated. Snow's use of dot maps in identifying the source of the epidemic was novel and is the earliest case of the use of disease mapping in addressing a health problem.

Causes of Spatial patterning

There are many reasons for the patterns of disease that we observe. In Snow's case, the reason for the spatial patterning of cholera cases in Soho was the location of a pump making contaminated water available to the local population. It is clear that the quality of the physical environment in which people live is of great importance in affecting rates of disease. The physical environment includes both the natural environment and the built environment. Commonly explored features of the physical environment, which can affect spatial patterns of disease, include air and water quality and sources of pollution that may be point sources (such as facilities releasing toxics into the air), nonpoint sources (such as agricultural runoff), and mobile sources (such as automobile exhaust). Climate is a factor of growing importance due to global climate change, which has the potential to affect the locations where disease vectors, such as mosquitoes that carry malaria, can survive. Built environment considerations range from the quality of indoor air affecting asthma rates to the walkability and safety of neighborhoods affecting rates of obesity.

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