wuhan_coronavirus_risk

This is a project created for Rice Datathon 2020. We (Daniyar Akizhanov '23, Austin Hushower '23) analyzed data from different sources to measure the relative risk of coronavirus spreading in different US cities. We used the flights data from Yandex Timetables and coronavirus data from JHU to create a network model and identified the US cities with the highest risks. The following map presents our findings:

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.vscode		.vscode
chinese_airports		chinese_airports
us_airports		us_airports
.gitignore		.gitignore
2014_us_cities.csv		2014_us_cities.csv
AmericanAirports.csv		AmericanAirports.csv
README.md		README.md
Wuhan Coronavirus.pptx		Wuhan Coronavirus.pptx
all_cities.txt		all_cities.txt
cities.py		cities.py
cities.txt		cities.txt
large_cities.csv		large_cities.csv
loc.py		loc.py
map_data.csv		map_data.csv
map_data.txt		map_data.txt
newplot.png		newplot.png
only_sec_res.txt		only_sec_res.txt
plot.py		plot.py
prim_res.txt		prim_res.txt
primary.py		primary.py
scraper.py		scraper.py
sec_res.txt		sec_res.txt
secondary.py		secondary.py
short.py		short.py
small_cities.csv		small_cities.csv
us_risks.html		us_risks.html
uscities.xlsx		uscities.xlsx

dankaki/wuhan_coronavirus_risk

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