COVID-19 Project

Library used

import glob, seaborn
import pandas as pd, matplotlib.pyplot as plt
import matplotlib.ticker as ticker
from scipy import stats

Code description

1. analyze_rates.py

   Description: Analyzes the rates of new cases of COVID-19 in countries Canada, US, China, Taiwan

   • Expect output files in rates_picture folder:
     • Cumulative-Cases-over-Time.png
     • Cases-per-day-over-Time.png
   • Expect output:
     • pvalue for Wilcoxon signed-rank test for Canada and US

2. analyze_flight.py

   Description: Analyze relationship between number of flights and COVID-19 Cases

   • Expected output files in current folder:
     • newly_added_infection.csv
   • Expected output files in flight_and_infection_picture folder:
     • num_flights_arrived_each_day.png
     • new_infections_detected_at_each_day.png
     • analyzed_picture.png
   • Expect output: None

3. analyze_mask_usage.py

   Description: Analyze relationship between mask usage and number of COVID-19 infections in United States and mask usage in country (with FIPS code) of United States

   • Expected output files in mask_analyze_picture folder:
     • percentage_infected_vs_mask_usage.png
   • Expected output:
     • pvalue for Chi-Square Test

Order of execution

1. transform_data.py
2. analyze_rates.py
3. analyze_flight.py
4. analyze_mask_usage.py

Note: No need to pass any arguments, just run the code by

python3 file_name.py

Group member

• Henry

• Piercson

Source of our datasets

1. Novel Coronavirus (COVID-19) Cases Data (Jan 22 to August 10):

   https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases

2. Flights Data across the world:

   https://opensky-network.org/datasets/covid-19/

3. Country Codes ALPHA-2 & ALPHA-3:

   https://www.iban.com/country-codes

4. Airport Codes:

   https://github.com/datasets/airport-codes/blob/master/data/airport-codes.csv

5. Mask-Wearing Survey Data:

   https://github.com/nytimes/covid-19-data/tree/master/mask-use

6. 2019 Population Estimates from the US Census Bureau

   https://github.com/kingaa/covid-19-data/blob/master/pop_est_2019.csv