DOCUMENT
figure1.pdf (1.16 MB)
ARCHIVE
figure2.zip (1.26 MB)
IMAGE
figure2.png (977.13 kB)
IMAGE
figure3.png (631.01 kB)
ARCHIVE
figure3.zip (615.12 kB)
ARCHIVE
figure4.zip (411.78 kB)
IMAGE
figure4.png (458.65 kB)
IMAGE
figure6.png (317.56 kB)
ARCHIVE
data.zip (423.72 kB)
ARCHIVE
figure6.zip (283.55 kB)
IMAGE
figure6.png (325.34 kB)
ARCHIVE
figure5.zip (332.25 kB)
IMAGE
figure5.png (370.75 kB)
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Modeling the direct virus exposure risk associated with respiratory events
Version 6 2021-12-03, 14:31
Version 5 2021-11-30, 13:53
Version 4 2021-10-20, 14:24
Version 3 2021-10-20, 14:19
Version 2 2021-10-20, 13:54
Version 1 2021-10-20, 13:29
dataset
posted on 2021-12-03, 14:31 authored by Jietuo Wang, Federico Dalla Barba, Alessio RocconAlessio Roccon, Gaetano Sardina, Alfredo Soldati, Francesco PicanoThis repository contains:
*Dataset of the manuscript "an effective model for evaluating the direct virus exposure associated to respiratory events".
*Python scripts that can be used to generate the figures.
Manuscript DOI: (TBA)
The folder data.zip contains all the post-processed data used to generate the different figures.
Each figure*.zip folder contains:
*The script that can be used to generate the respective figure (also provided in final format).
*The supporting data for that figure (formatted format, .dat).
To reproduce the figure, unzip the respective folder and for:
-Figure 2 (manuscript): run the gnuplot script "figure2.py"
-Figure 3 (manuscript): run the python script "figure3.py"
-Figure 4 (manuscript): run the python script "figure4.py"
-Figure 5 (manuscript): run the python script "figure5.py"
-Figure 6 (manuscript): run the python script "figure6.py"
The resulting plots are also provided in *.png or *.pdf formats.
