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Data Dictionary Overview Supplement
Missy Schoenbaum edited this page Jan 21, 2021
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| File Name | Short Name | Description | variable Count |
|---|---|---|---|
| Daily_Exposures_X | Exposures | By iteration, by day by unitid, output variables describing the exposure network | 14 |
| Daily_Events_X | events | By iteration, by day, by unitid output variables describing the events that happen to a unit | 10 |
| States_X | states | By iteration, by day, by unitid output variables describing the disease state of the unit (excluding the susceptible state) | 6 |
Map Output
| File Name | Short Name | Description | variable count |
|---|---|---|---|
| weekly_gis_it_dayXXXX | GIS_day | Output variables for GIS mapping, includes .dbf, .shp and .shx for spatial data, descriptive of disease state on a weekly level. | 6 |
| weekly_gis_it__zones_dayXXXX | GIS_zone | Output variables for GIS mapping, includes .dbf, .shp and .shx for spatial data, descriptive of the zones on a weekly level. | 2 |
- One iteration, or run, is one example of what could happen in a simulation. The X after the filename represents the iteration that output a given file.
- Only one run may be needed. An example of this use case is to provide data for an emergency response exercise.
- For an analytical question, many runs may be needed to simulate the inherent variability in biological systems.
- Comma-separated value (.csv) is a commonly used output method.
- A csv file is created for each iteration that is run. If you run 50 iterations, you will get 50 files.
- The Map Output process creates GIS files that may be used to do spatial analysis in a subfolder called “Map”. Only one of these file types, the .dbf, can be accessed like a data file.
Each of these files is created as the iterations are running and output immediately. This allows the model to move quickly and not be slowed down by writing big files back into the database.
- There is a python script and an R code script that allows for combination of these files.
- These scripts stamp the scenario name into the data so it can be preserved if you need to combine across multiple scenarios.
The events, exposures and states files all have latitude and longitude by day.