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notes.txt
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Wed Sept 15th:
---
- location of agents
- paramterize different params
- evaluate risk of non-vaccinated
Overall:
- run different simuations of sources and sinks and make sense of that data
to see hot zones in a room
- weird source/sink locations
- different combinations
2 source 2 sink
- locations of infectious people
one on each corner
- try breaking it
- multiple infectious individuals
In order:
- locations of source/sink
- numbers of source/sink
- who is infectious (one in each corner, one in middle)
- map areas of risk --> normalize on worst case scenario (highest viral load across all experiments)
- publishable figures
Wed Sept 22nd:
---
- document sim_params.json in README.md
- TODO make sure all sim_params.json can take multiple in room.py and simulation
- where did numbers come from --> citations also in README.md
- explain how the model works in README.md
- mention easy parameters to control and how to change and run the simulation
- how do we do time? --> into minutes
- start trying to breaking this, values that dont work
- define risk?? For given paramaters in sim_params.json
- come up with source/sink locations drawing --> ask John
Wed Oct 6th:
---
- https://cran.r-project.org/web/packages/randomForest/randomForest.pdf document like so
Wed October 13th:
---
- consistency in words
- use zotero to get citations looking good
- clarify time (does changing 1 to 2 double the speed or halve it?) : done
- make paramters list a table --> put in example values from simulations from above, column for units (when appropriate), give examples of booleans to use : done
- add to introduction for program requirements (python3), using specific version : done
- give json example : done
- example under how to run section
- autocreate data folder : done
- save last step as an image --> document and save certain steps : saves a gif already
- add functionality to add multiple source/sinks : needs more testing
- experiments:
- try to break
Wed October 27th:
---
Pattern to use : teacher, all 4 corners, middle person
What does a typical classroom look like?
- Doors acting as source/sink in same location between experiments (either closest or furthest from teacher)
- Windows doing the same on one side (across from the door(s))
- No HVAC at all --> just open windows (just sinks)
- Multiple people infectious and the level of infectiosness --> masking
- Diagonals infected
- Door locations and number of windows (2, 3, and 4 windows)
experiments:
ALL FOR x PATTERN INFECTED:
`"INFECTED_AGENT_LOCS": [[1, 1], [1, 9], [5, 5], [9, 1], [9, 9]]}`
door location in top left:
"SOURCE_LOCS": [[0, 0]]
2 windows on right tl_door_source_2_windows_sink
"SINK_LOCS": [[2, 10], [4, 10]]
3 windows on right tl_door_source_3_windows_sink
"SINK_LOCS": [[2, 10], [4, 10], [6, 10]]
4 windows on right tl_door_source_4_windows_sink
"SINK_LOCS": [[2, 10], [4, 10], [6, 10], [8, 10]]
door location in bottom left:
"SOURCE_LOCS": [[12, 0]]
2 windows on right bl_door_source_2_windows_sink
"SINK_LOCS": [[2, 10], [4, 10]]
3 windows on right bl_door_source_3_windows_sink
"SINK_LOCS": [[2, 10], [4, 10], [6, 10]]
4 windows on right bl_door_source_4_windows_sink
"SINK_LOCS": [[2, 10], [4, 10], [6, 10], [8, 10]]
door location in top left:
"SOURCE_LOCS": [[0, 0]]
2 windows on right tl_door_source_2_windows_source
"SOURCE_LOCS": [[0, 0], [2, 10], [4, 10]]
3 windows on right tl_door_source_3_windows_source
"SOURCE_LOCS": [[0, 0], [2, 10], [4, 10], [6, 10]]
4 windows on right tl_door_source_4_windows_source
"SOURCE_LOCS": [[0, 0], [2, 10], [4, 10], [6, 10], [8, 10]]
door location in bottom left:
"SOURCE_LOCS": [[12, 0]]
2 windows on right bl_door_source_2_windows_source
"SOURCE_LOCS": [[12, 0], [2, 10], [4, 10]]
3 windows on right bl_door_source_3_windows_source
"SOURCE_LOCS": [[12, 0], [2, 10], [4, 10], [6, 10]]
4 windows on right bl_door_source_4_windows_source
"SOURCE_LOCS": [[12, 0], [2, 10], [4, 10], [6, 10], [8, 10]]
door location in top left:
2 windows on right tl_door_sink_2_windows_sink
3 windows on right tl_door_sink_3_windows_sink
4 windows on right tl_door_sink_4_windows_sink
door location in bottom left:
2 windows on right bl_door_sink_2_windows_sink
3 windows on right bl_door_sink_3_windows_sink
4 windows on right bl_door_sink_4_windows_sink
door location in top left:
2 windows on right tl_door_sink_2_windows_source
3 windows on right tl_door_sink_3_windows_source
4 windows on right tl_door_sink_4_windows_source
door location in bottom left:
2 windows on right bl_door_sink_2_windows_source
3 windows on right bl_door_sink_3_windows_source
4 windows on right bl_door_sink_4_windows_source
1 door on bottom left: bl_door_sink
1 door on bottom left: bl_door_source
1 door on top left: tl_door_sink
1 door on top left: tl_door_source
sink and source clos to teacher (on same space) both_close
sink and source far from teacher (on same space) both_far
More Broad Questions:
- Bivariate comparisons --> less risk to class if windows are sink vs source
--> of windows, windows are sink..how does risk change on amount same for source
--> students more at risk of teacher is infectious vs student
--> locations with least total inhalation of infected aerosols
- Comparing --> either one student over time who is never infectious over experiments
--> boxplot where each boxplot is from a different but related simulation and the values are aerosols inhaled
- later...optimization --> what is the optimal locations for source and sinks given we can only have one of each
REAL EXPERIMENTS:
1/6 possible people infected (top right, bottom right, top left, bottom left, middle, teacher)
door in either top left or bottom left acting as sink/source
2, 3, 4 windows on opposite side of door acting as the opposite of source and sink
boxplot where each boxplot is the AUC of all non-infected people
Optimization:
For a given room...
All combinations of one source and one sink where there isnt an agent
1 infected person top left 1 in bottom right