The bacteria causes a condition called shigellosis, which is marked by bloody diarrhea and abdominal pain.
There are some very unique regional differences in the distribution of cases linked to the four major Shigella species in the USA over the past decade . . . . .
It is one of a number of important epidemiology topics proposed in my dissertation that are in need of extensive development at the GIS-spatial analysis level in the next few years.
In order to surveill more than 2500 diagnostic metrics per day, an effective tool has to be implemented which can manage that task.
The NPHG algorithms I developed are designed for spatial analyses without the need for standard GIS implementation.
The results of this surveillance technique can be used to define whatever special topics, case report clusters, and population health indicator metrics are in need of a more extensive implemetation of GIS for detailed, routine analysis.
This method was specifically designed for use in rapid surveillance and small area analysis, to be performed on a daily or weekly basis. It can perform a de novo surveillance request in just a few minutes.
With the following four videos, I demonstrate the important spatial differences of Shigella case distribution for the U.S., via the following 3D videos of cases:
Shigella A (Shigella dysenterica) —
Shigella B (S. flexneri) —
Shigella C (S. boydii) —
Shigella D (S. sonnei) —