This page is devoted to the 3D mapping video method I developed for displaying the national public health statistics. These videos for the most part speak for themselves. They demonstrate our ability to condense data for nearly 3000 spots representative of the United States into a single presentation and reporting tool for population health medical data. We can use this method to analyze anything an industry stands for, including health, the environment, finances, natural resource utilization, product flow, energy consumption, food productivity and use, etc. etc.
But this concept of the use of the map for displaying data is not anything new. What is new here is the ability of the technology that we now have to be used to automatically produce reports in very short time of considerable value to regular reporting and surveillance related medical and national protection related services and activities.
These maps can be produced down to the small area level, covering a very large portion of a mapped surface. This not only means we can change the boundaries of what information is being mapped, but also the resolution with which this mapping technique is used. Local population and risk analysis mapping can be performed using this method, as readily as any standard international communications or shipping related surveillance technique. The limits of this method for processing data is defined by the skills of the software users, their mathematical skills and their ability to understand the meaning of any results of spatial data interpretation produced.
As taught in my most recent GIS class/lab a few years back, an individual who cannot understand this basics of mapping data needs to take a refresher course on this subject before engaging in this kind of analysis. A common error seen in this setting was an individual who believed the older non spatial methods of analyzing spatial patterns are still applicable. The NPHG method defines and selects areas first and then adjusts the data to carry out any final evaluations.
The videos presented via this page are designed to portray true results generated using this new technique for mapping health data. The purpose here is to make there results understandable, not to be consumed simply as statistical results in need of follow-up. The methodology is what is being marketed here, and made understandable by higher level management, not statisticians.
Video 1. Occupational Lung Disease Patterns in the U.S. One of my earliest examples. The purpose here was to test out a scanning formula in which the viewer moved across the surface of the U.S. and along the way concentrated on specific clusters that were highlighted using polygons just before the scan begins. Link: http://youtu.be/Qt9M-mcaeD4.
Video 2. “Lover’s Leap”. Adult Suicide, 55-64 yo, was mapped; note the peak at the area close to Niagara Falls. This is a very fast running short clip, but it still drives the point home. The initial purpose for producing this map was to determine which age group engaged in the “Lover’s Leap” practices at this visitors’ site. Link: http://youtu.be/zhrBYOMWBaI.
Video 3. Immunizable Childhood Diseases. This is my very first video, for which ca. 2500 images were used. Each sequence (immunization map set) took about 20-30 minutes to run; the entire series probably took about 90 minutes to compile. This was my initial test run of it when completed. The first minute is slow and tedious, which was based on the amount of time the viewer needed to read the changing text. At 1:04, the rotating maps of the US begin, performing one 360 degrees run per immunization, one after another. At 2:04, Diphtheria demonstrated a problem due to an outbreak noted in the data; to accurately re-evaluate this immunization I “eliminated” the outlier gridcell values by changing the Max on the axis; by doing this the remaining values became more visible on display. At 2:45, the series ends, and the closure of the presentation commences (more text). The initial work was done in 2005. For this presentation, some of the text was updated and added in. Link: http://youtu.be/W1d8fBxz5V4.
Video 4. Mapping Risk Scores and Percent Late. This is part of my 20 part teaching series. Two problems with patients are their personal behaviors and their tendency to engage in a preventive a day or more late. This map depicts outcomes for a complex risk score formula developed involving the standard Chronic Disease Management index that is published, to which several new chronic disease measures were added; metabolic syndrome was then figured in using a multiplicative rather than additional impact formula. The score of a patients health based on the database automated calculator was then combined with amount of “risk’ presented based on percent late behaviors. Link: http://youtu.be/EvPXMHXh6Mw.
Video 5. Altitude Sickness. We expect altitude sickness to be related to elevated regions, right? The fact is if people move into an elevated region, they are usually adapted to it within about 3 months (due to a fetal Hgb ratio change). So the people who present with this disease are not necessarily next to the source of the problem. The three peaks presented here possibly represent people returning home from international travel involving locations that were far away and within high elevation regions. Alternatively, these were simply mountain climbers who were ill-adapted to the sport, or people who got sick on the airplane flying home. Take your pick. Link: http://youtu.be/PPeiDkhrgkI. 30 seconds.
Video 6. Measles Vaccine Refusal. Measles is the most commonly refused immunization due to published reports suggesting it may be linked to Autism due to its mercury content. This has since pretty much been disproven, but the fear lives on, especially in the Pacific Northwest, like this video demonstrates. Link: http://youtu.be/8Z963mMhfkU. Approx 1 min.
Video 7. Q Fever. Research question: What do the peaks tell us about its sources and routes of penetration? Link: http://youtu.be/Ko6ZGJ1oFe0.
Video 8. Yellow Fever. The same questions as in the prior. Link: http://youtu.be/qH_cWGT8QbE.
Video 9. Crack Baby Syndrome. With High Risk cities identified. Link: http://youtu.be/CXahwgU-GaY.
Video 10. Young Adult (19-24 yo) Suicides in the Pacific Northwest. A brief display of N, followed by N-squared to emphasize peaks. Link: http://youtu.be/xEX4ekL3NnA.
Video 11. Moya Moya, IP. An Independent Prevalence map of this Hawaii-linked (Asian-linked) physical disease. Link: http://youtu.be/2PqwKeecrLk.
Video 12. Shaken Baby Syndrome. Peaks are displayed very well, with midwest case density. U.S. Map Projection Angles are played with in this. Link: http://youtu.be/4WVjtDRbJqg.
Video 13. Children in Offf-Road Vehicle Accidents, N and N-squared. Used to demonstrate the differences between N and Nsq mapping. The Accidents were identified using Emergency Visit E-coding. Link: http://youtu.be/aRfwk9f4uwg
Video 14. Homelessness, Highest Risk (IP) places. A different projection/presentation series sql was developed. Link: http://youtu.be/f-0kaHI1VI8.
Video 15. Rhinosporidiosis, Entire U.S. Nothing special–two niduses are displayed. Link: http://youtu.be/kah9pJ_KAtA.
Video 16. Viral Hepatis Vaccine. Offers a great display of the grid cells upon each stop in the rotation. Link: http://youtu.be/9YS3BeY764Q.
Video 17. Foreign Diseases, Cumulative for All. First Pass–data on about 160 diseases was summed and mapped. Link: http://youtu.be/Y-oQsWUT6WY.
Video 18. Sickle Cell Carriers. Hope this isn’t too controversial. Link: http://youtu.be/g559Gjw5pcA.
Video 19. Lobster Claw Congenital Deformity. Ditto. Link: http://youtu.be/rs9mHy-shhs.
Video 20. Chicago Urban Setting, Diffusion Patterns. Included because you also get a series pops ups of other videos I developed and used for teaching purchases. These are for the most part devoted to diffusion processes. Link: http://youtu.be/NX_0f4ms95M.
Videos 21-23. A Series on Child Abuse by Children
The following is an example of three of the above mentioned different methods for displaying the data. The first is a display of N, the second N-squared and the third Independent Prevalence.
- Child-performing Child Abuse – N
- Child-performing Child Abuse – N-sq
- Child-performing Child Abuse – IP