Sars-COV-2 confirmed aerosolized below 1um, Masks may officially do more harm than good, plus data


1. We review now the very strong hypothesis that Sars-COV-2 is now aerosolized on a sub-micron level greatly reducing any impact PPE may have and greatly increasing transmission vectors. 2. Immunity to COVID-19 appears to last at least 8 months with significant B cell memory. 3. Plus deep dive into global Data that really shows there is no real clear pandemic mitigation strategy that is having any real-world effect except unnecessarily causing hardship among the subject populace.

#sarscov2 #aerosolized #covid

Data Sources
HealthData .gov
Our World in Data
Covid Tracking Project

Article Links (Current New) :
Assessment of Air Contamination by SARS-CoV-2 in Hospital Settings
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2774463?s=03

UH Mānoa researcher examines why people choose to wear face coverings
https://www.eurekalert.org/pub_releases/2020-12/uoha-umr121820.php#.X-Fc482Kb5o.wordpress

COVID immunity lasts up (at least) to 8 months, new data reveals
https://www.eurekalert.org/pub_releases/2020-12/mu-cil122020.php#.X-KF5Sew4mI.wordpress

Masks may be worse than no mask if COVID-19 is aerosolized. UV light, Cadmium, and Vit. D all Corr,

This week we look at one of the worst cases of media bias to date in reference to the study: Effects of mask-wearing on the inhalability and deposition of airborne SARS-CoV-2 aerosols in human upper airway. Cadmiun and heightened mortality, UV light in relation to COVID and Vitamin D, again.
#sarscov2aerosol #micron #surgicalmask
Study Sources:
‘Alarmingly high’ vitamin D deficiency in the United Kingdom
https://www.eurekalert.org/pub_releases/2020-12/uosa-hv121420.php#.X9jqniRdpbA.wordpress

COVID-19 does not damage auditory system, Tel Aviv University and Galilee Medical Center study finds
https://www.eurekalert.org/pub_releases/2020-12/afot-cdn121520.php#.X9lCpb8uT8Q.wordpress

LED lights found to kill coronavirus: Global first in fight against COVID-19
https://www.eurekalert.org/pub_releases/2020-12/afot-llf121420.php#.X9gQC1QniyA.wordpress

‘The mask matters: How masks affect airflow, protection effectiveness
Effects of mask-wearing on the inhalability and deposition of airborne SARS-CoV-2 aerosols in human upper airway
In this study, we found that the protective efficacy of a mask for the nasal airway decreases at lower inhalation flow rates. Particularly at 15 l/min, the nasal retention of 1 µm–3 µm ambient aerosols is even higher by wearing a 65% filtration mask than without a mask at all.’
https://aip.scitation.org/doi/10.1063/5.0034580

SARS-CoV-2-like particles very sensitive to temperature
https://www.eurekalert.org/pub_releases/2020-12/uou-spv121720.php#.X92jmCoxRLw.wordpress

New study links cadmium to more severe flu, pneumonia infections
https://www.eurekalert.org/pub_releases/2020-12/uom-nsl121020.php#.X924gekaJHI.wordpress

COVID-19 spread increases when UV levels decrease
https://www.eurekalert.org/pub_releases/2020-12/hjap-csi121620.php#.X92vSB3cwpQ.wordpress

COVID-19 as the Leading Cause of Death in the United States
https://jamanetwork.com/journals/jama/fullarticle/2774465?guestAccessKey=d0b5e5b7-a997-49c2-9000-c0f1842ce76c&utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=121720

Reference to the DENMASK study:
https://www.acpjournals.org/doi/10.7326/M20-6817

API Sources:
Our wold in Data
COVID Tracking Project
HealthData.gov

Added:
Minimum Sizes of Respiratory Particles Carrying SARS-CoV-2 and the Possibility of
Aerosol Generation

COVID-19 Surgical Mask Random Trial Offer Little to No Protection, British Gov’t Wrong on most Data

This week we run the data analytics on Face Coverings and Country Stats using Seaborn and Pandas as well as cover the DANMASK-19 randomized trial, The Daily Mails fight with the British Government attempt to terrorize it, citizens, with bad COVID data. The Possible transmission of COVID-19 from pets to humans continues to gain traction, etc… #covid19 #masks #facecoverings Data API Sources: Our World in Data Covid Tracking Project Effectiveness of Adding a Mask Recommendation to Other Public Health Measures to Prevent SARS-CoV-2 Infection in Danish Mask Wearers https://www.acpjournals.org/doi/10.7326/M20-6817 A cluster randomised trial of cloth masks compared with medical masks in healthcare workers https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4420971/ https://www.dailymail.co.uk/news/article-8973737/Fury-government-uses-Twitter-propaganda-tool-attack-Mails-covid-analysis.html https://www.washingtonpost.com/health/2020/11/20/mask-danish-study/ https://clinicalnews.org/2020/11/19/how-the-polio-vaccine-virus-occasionally-becomes-dangerous/ https://clinicalnews.org/2020/11/18/two-k-state-studies-focus-on-sars-cov-2-transmission-in-domestic-cats-pigs/ https://clinicalnews.org/2020/11/16/alarming-covid-19-study-shows-80-of-respondents-report-significant-symptoms-of-depression/

COVID – Vitamin C breakthrough, Baricitinib dramatically improves Survival, Lockdowns and Endemics

This week in Data analysis we start building a face covering (mask) data frame and disease outbreaks. Breakthrough discoveries in Vitamin C and an Arthritis drug Baricitinib. As well as future disease outbreak concerns, vaccine hazards, and sars-cov-2 animal transmission. #covid19 #vitaminc #Baricitinib https://www.eurekalert.org/pub_releas… #sarsvac https://journals.plos.org/plosone/art… #polio https://www.pnas.org/content/115/5/10… #influenza https://www.eurekalert.org/pub_releas… #endemic https://science.sciencemag.org/conten… #zoo https://www.eurekalert.org/pub_releas… #lancetpred https://www.eurekalert.org/pub_releas… #arth

COVID cases skyrocket mysteriously prior to the election while the mortality rate sharply declines

This week we look at the sharp rise in COVID-19 cases prior to the Election (Data Analytics), while mortality globally continues to naturally decline with many modern countries now reporting few to no related deaths. In addition, we pull in the Census.Gov Household Pulse Survey Data to review pandemic lockdown hardships. #covid19 #pandemic #dataanalysis Sources: covidtracking, OWID, U.S.Census

Vit. D the Most underutilized COVID tool, Low Income Households Crushed by Lockdowns, Plus Data

This week we look at how bad the lockdown is affecting low-income families, and ask why after so many months Vitamin D has been ignored. As well as Low Dose Aspirin has a powerful benefit against COVID. #aspirin #covid #lockdown Study finds over 80% of COVID-19 patients have vitamin D deficiency https://www.eurekalert.org/pub_releases/2020-10/tes-sfo102220.php#.X5ibhuBizBU.wordpress Death rates among people with severe COVID-19 drop by a half in England https://www.eurekalert.org/pub_releases/2020-10/uoe-dra102720.php#.X5iZJ_Rg_T8.wordpress New study: aspirin use reduces risk of death in hospitalized patients https://www.eurekalert.org/pub_releases/2020-10/uoms-nsa102220.php https://www.census.gov/data-tools/demo/hhp/#/?measures=EVR

COVID Vaccines not being tested to work, CBD a COVID Lung Saver?, Shoes thee COVID carrier and Data.

This week we review disturbing vaccine study requirements, CBD an incredible gem if possibly protecting the lungs and restoring oxygen levels, and a strong correlation as to shoes being an unrecognized major disease vector. In addition to looking at COVID data correlations to which countries are locking down in response Sars-COV-2 to those which have not or have done little. #covidvaccine #covidvector #covidnews Data Sources API for DataFrames: The COVID Tracking Project Our wold in Data (Oxford) Links: https://www.eurekalert.org/pub_releases/2020-10/uoo-ecw102220.php#.X5N_7_DuPM0.wordpress https://www.eurekalert.org/pub_releases/2020-10/b-cvt102020.php#.X5OGbCHAYR8.wordpress https://www.eurekalert.org/pub_releases/2020-10/mcog-chr101620.php#.X45lOsCeu4k.wordpress https://wwwnc.cdc.gov/eid/article/26/7/20-0885_article

Vitamin D may be more effective than masks and distancing combined for COVID ?

Vitamin D may be more effective than masks and distancing combined for COVID ?

In patients older than 40 years they observed that those patients who were vitamin D sufficient were 51.5 percent less likely to die from the infection compared to patients who were vitamin D deficient or insufficient with a blood level of 25-hydroxyvitamin D less than 30 ng/mL.

Holick, who most recently published a study which found that a sufficient amount of vitamin D can reduce the risk of catching coronavirus by 54 percent, believes that being vitamin D sufficient helps to fight consequences from being infected not only with the corona virus but also other viruses causing upper respiratory tract illnesses including influenza. “There is great concern that the combination of an influenza infection and a coronal viral infection could substantially increase hospitalizations and death due to complications from these viral infections.”

#covid19 #sarscov2 #vitaminD

Kaufman HW, Niles JK, Kroll MH, Bi C, Holick MF (2020) SARS-CoV-2 positivity rates associated with circulating 25-hydroxyvitamin D levels. PLOS ONE 15(9): e0239252. https://doi.org/10.1371/journal.pone.0239252

Pandemic Charting – Weaponizing Uncertainty – Countries Do better with a Light touch – Python Data

Lockdowns a Complete Failure compared to controls – Countries that did not? Python Analysis Part 2

Part 2 as promised. We compare cases and death per million from industrialized countries which did little to nothing to Great Britain and the United States. The Data extrapolated is from: https://ourworldindata.org/coronaviru…
#covid19 #lockdown #socialdistancing

(Volume is kind of Choppy midpoint)
Additional Code: From Part 1:
datasw = data.loc[data.iso_code==’SWE’, :]
datagb = data.loc[data.iso_code==’GBR’, :]
dataus = data.loc[data.iso_code==’USA’, :]
datasg = data.loc[data.iso_code==’SGP’, :]
datajp = data.loc[data.iso_code==’JPN’, :]
datako = data.loc[data.iso_code==’KOR’, :]
datatw = data.loc[data.iso_code==’TWN’, :]
dataall = [datagb,dataus,datasw,datasg,datajp,datako, datatw]
dataall = pd.concat(dataall)
dataall
dataall.datetime = pd.to_datetime(dataall.date)
dataall.set_index(‘date’, inplace=True)
fig, ax = plt.subplots(figsize=(50,25))
dataall.groupby(‘iso_code’)[‘new_cases_smoothed_per_million’].plot(legend=True,fontsize = 20, linewidth=7.0)
ax.legend([‘Great Britain = Lockdown’,’Japan = No LD’, ‘South Korea = No LD’, ‘Singapore = LD JUNE -Migrant LD HIghest POP Density’, ‘Sweden = No LD’, ‘Taiwan = No LD’,’USA = Lockdown’],prop=dict(size=50))
comp = dataall.loc[‘2020-09-18’]
comp.set_index(“iso_code”, inplace=True)
comp= pd.DataFrame(comp[[‘total_cases_per_million’,’total_deaths_per_million’]])
plt.rc(‘legend’, fontsize=50)
comp.plot.bar(rot=0, figsize=(20,20),fontsize=30)

Pandemic Over? COVID-19 World data Amateur Python Analysis

From an educational perspective, we review current COVID-19 data and arrive look at lockdowns and population density appears to have no numerical effect currently on COVID-19. In any case, this is more about exploring the code from a beginner’s standpoint with Python and DataFrames.
#covid19 #pandemicover #coviddata
CSV files found here:
https://ourworldindata.org/coronaviru…
Code: (Had to remove the angle brackets)
import numpy as np
import pandas as pd
from scipy import stats
import statsmodels.api as sm
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 seaborn as sns
import warnings
warnings.filterwarnings(“ignore”)
#Pandemic
Claim Currently Invalid —Ralph Turchiano
data = pd.read_csv(‘owid-covid-data-19SEP2020.csv’)
data.info()
pd.set_option(‘max_columns’, None)
data.tail(5)
data[‘date’] = pd.to_datetime(data[‘date’])
data.info()
data_18SEP = data[data[‘date’]==’2020-09-18′]
data_ind = data_18SEP[data_18SEP[‘human_development_index’]=.8]
data_ind.head(10)
data_ind.drop([‘iso_code’,’continent’,’handwashing_facilities’,’stringency_index’,], axis=1, inplace=True)
data_ind.columns
data_ind[‘extreme_poverty’].fillna(0, inplace=True)
data_compare = pd.DataFrame([data.loc[37991],data.loc[41736]])
data_compare
data_compare.set_index(‘location’,inplace=True)
data_compare[‘total_cases_per_million’]
data_Swe_USA=pd.DataFrame(data_compare[[‘total_cases_per_million’,’new_cases_per_million’,’new_deaths_per_million’]])
data_Swe_USApd.DataFrame(data_compare[[‘total_cases_per_million’,’new_cases_per_million’,’new_deaths_per_million’]])
data_Swe_USA
data_ind.drop([‘date’,’new_cases’,’new_deaths’,’total_tests’, ‘total_tests_per_thousand’,
‘new_tests_per_thousand’, ‘new_tests_smoothed’, ‘new_tests’,
‘new_tests_smoothed_per_thousand’, ‘tests_per_case’,’tests_units’,’new_deaths_per_million’,’positive_rate’ ], axis=1, inplace=True)
data_ind.tail()
data_ind.dropna(inplace=True)
data_ind.corr(“kendall”)
data_18SEP.tail()
data_18SEP.loc[44310]
data_18SEP.loc[44310,[‘new_cases_smoothed_per_million’,’new_deaths_smoothed_per_million’]]
New =pd.DataFrame(data[[‘new_cases_smoothed_per_million’,’new_deaths_smoothed_per_million’]])
New.corr(‘kendall’)
dataw = data.loc[data[‘iso_code’] == ‘OWID_WRL’]
dataw
dataw.datetime = pd.to_datetime(data.date)
dataw.set_index(‘date’, inplace=True)
data_cl = pd.DataFrame(dataw[[‘new_deaths_smoothed’,’new_cases_smoothed’]])
data_cl.dropna(inplace=True)
data_cl.plot(figsize=(30,12))
data_cl.tail(20)

COVID-19 Tracking Data API and Data Anomalies (No Correlations? Cases to Hospitalizations Increases)

Is there a correlation between Positive cases and Hospitalizations? Below is the API for python access, open to all who desire to filter the data. I want to just give easy access to all the beginner students data scientists out there, such as myself..Explore and Discover: **My Apologies It says High Def, but does not look High Def on video here**

Code: import matplotlib.pyplot as plt import pandas as pd from scipy import stats import statsmodels.api as sm import requests import time from IPython.display import clear_output response = requests.get(“https://covidtracking.com/api/v1/us/daily.csv”) covid = response.content ccc = open(“daily.csv”,”wb”) ccc.write(covid) ccc.close() df = pd.read_csv(“daily.csv”, index_col = ‘date’) df.head() data = df[[‘positiveIncrease’,’hospitalizedIncrease’]] dataT = df[[‘positiveIncrease’,’hospitalizedIncrease’,’hospitalizedCurrently’]] dataD = df[[‘hospitalizedIncrease’,’deathIncrease’]] dataT.head(20) plt.figure(figsize=(20,10)) Y = data[‘positiveIncrease’] X = data[‘hospitalizedIncrease’] plt.scatter(X,Y) plt.ylabel(“Tested Positive Increase”) plt.xlabel(“Hospitalization Increase”) plt.show() Y1 = sm.add_constant(Y) reg = sm.OLS(X, Y1).fit() reg.summary() data.plot(y=[‘hospitalizedIncrease’,’positiveIncrease’],xticks=data.index[0:len(data):30], rot=90, figsize=(20,10) ) for x in range(len(data)): plt.figure(figsize=(20,10)) plt.xticks( data.index.values[0:len(data):30], rotation = 90, fontsize=20 ) plt.plot(data.tail(x))

Honeysuckle Decoction Inhibits SARS-CoV-2

In a new study in Cell Discovery, Chen-Yu Zhang’s group at Nanjing University and two other groups from Wuhan Institute of Virology and the Second Hospital of Nanjing present a novel finding that absorbed miRNA MIR2911 in honeysuckle decoction (HD) can directly target SARS-CoV-2 genes and inhibit viral replication. Drinking of HD accelerate the negative conversion of COVID-19 patients.

#mir2911 #sarcov2 #honeysuckle

Zhou, L., Zhou, Z., Jiang, X. et al. Absorbed plant MIR2911 in honeysuckle decoction inhibits SARS-CoV-2 replication and accelerates the negative conversion of infected patients. Cell Discov 6, 54 (2020). https://doi.org/10.1038/s41421-020-00197-3

https://www.nature.com/articles/s41421-020-00197-3#ethics

An easier way to go vegan, Vitamin B12 CAN be produced during grain fermentation

The highest production was found in the rice bran (ca. 742 ng/g dw), followed by the buckwheat bran (ca. 631 ng/g dw), after fermentation. Meanwhile, the addition of L. brevis was able to dominate indigenous microbes during fermentation and thus greatly improve microbial safety during the fermentation of different grain materials. #b12 #vegan #fermentation https://helda.helsinki.fi/bitstream/handle/10138/317682/insitufo.pdf?sequence=1&isAllowed=y In situ fortification of vitamin B12 in grain materials by fermentation withPropionibacterium freudenreichii, Chong Xie ISBN 978-951-51-6355-4 (PAPERBACK) ISBN 978-951-51-6356-1 (PDF, http://ETHESIS.HELSINKI.FI) ISSN 0355-1180 UNIGRAFIA HELSINKI 2020

Black raspberries show promise for reducing skin inflammation, allergies