Weak to No Correlation in Positive COVID-19 Test Increases and Hospitalization Increases

We use Data from covidtracking (Entire U.S. )to 12 SEP 2020 and run correlation models with a few various methods to see if any correlation exists between Positive COVId-19 test increases and Increases in Hospitalizations. Utilizing Kendal, we arrive at a .29 correlation (So no not really) Lockdowns have made virtually no statistical difference. #covid #correlationn #nolockdowns Code: (Part) if you need me to post more just let me know 😉 This is Python, JupyterLab _ These codes should help get you started. Remember you can also import into Excel and play with it on your own. import matplotlib.pyplot as plt import pandas as pd from scipy.stats import spearmanr from scipy.stats import kendalltau from scipy.stats import pearsonr from scipy import stats import statsmodels.api as sm import requests import time import seaborn as sns from IPython.display import clear_output response = requests.get(“https://covidtracking.com/api/v1/us/d…“) covid = response.content ccc = open(“daily.csv”,”wb”) ccc.write(covid) ccc.close() df = pd.read_csv(“daily.csv”) df= df[:-38] df = df.iloc[::-1] df1 = pd.DataFrame(df) df1 = df.reset_index(drop=True) df1.tail()

Author: Ralph Turchiano

In short, I review clinical research on an almost daily basis. What I post tends to be articles that are relevant to the readers in addition to some curiosities that have intriguing potential. As a hobby, I truly enjoy the puzzle-solving play that statistics and programming as in the python language bring to the table. I just do not enjoy problem-solving, I love problem-solving and the childlike inspiration and exploration of that innocent exhilaration of discovering something new. Enjoy ;-)