See on Scoop.itMedical GIS Guide — 3D mapping rotational imagery mapping of theoretical ‘Chicago Illness’ Dispersal Patterns

Brian Altonen‘s insight:

Chicago Illness –  A Lesson in Rotational 3D Epidemiological Mapping and Public Health Surveillance.

Why and how do diseases spread and migrate?

Now you can monitor this process, and determine if particular diagnoses, human behaviors, or other public health concerns diffuse or travel in all directions, or are hierarchical in nature, meaning they tend to travel the way people travel and strike heavily populated regions first and then the suburbs.  Some diseases and behaviors such a poverty, abuse, poor nutrition, child care related issues, follow a reversed hierarchical pattern, impacting poorer households first and if and when infectious, later impacting the middle class and upper class communities.

Ideally, we can monitor population in this way with little effort using the highly effective NPHG methodology.  This way of analyzing and visualizing population health has the potential of preventing disease, designing better intervention programs, and determining your highest risk communities for any intervention programs you might have in mind.  

This is what the NPHG method for disease mapping was written for.  It’s advantage is it is less expensive than buying into a GIS or new HIT system of any kind.

Whatever system you utilize for developing your EMR/HER data and HIT monitoring programs, this method can probably be used to perform the tasks at hand.  If not, Open Source methods makes reaching this goal possible, in less than a year, at little or no cost.

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