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.

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:…
#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.datetime = pd.to_datetime(
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), 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:…
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
Claim Currently Invalid —Ralph Turchiano
data = pd.read_csv(‘owid-covid-data-19SEP2020.csv’)
pd.set_option(‘max_columns’, None)
data[‘date’] = pd.to_datetime(data[‘date’])
data_18SEP = data[data[‘date’]==’2020-09-18′]
data_ind = data_18SEP[data_18SEP[‘human_development_index’]=.8]
data_ind.drop([‘iso_code’,’continent’,’handwashing_facilities’,’stringency_index’,], axis=1, inplace=True)
data_ind[‘extreme_poverty’].fillna(0, inplace=True)
data_compare = pd.DataFrame([data.loc[37991],data.loc[41736]])
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)
New =pd.DataFrame(data[[‘new_cases_smoothed_per_million’,’new_deaths_smoothed_per_million’]])
dataw = data.loc[data[‘iso_code’] == ‘OWID_WRL’]
dataw.datetime = pd.to_datetime(
dataw.set_index(‘date’, inplace=True)
data_cl = pd.DataFrame(dataw[[‘new_deaths_smoothed’,’new_cases_smoothed’]])

Selenium and COVID-19 A Strong Survival Correlation & New Drug Discoveries

Selenium and COVID-19 A Strong Survival Correlation & New Drug Discoveries

Quote “Our results show an association between the reported cure rates for COVID-19 and selenium status. These data are consistent with the evidence of the antiviral effects of selenium from previous studies”


Margaret P Rayman, Ramy Saad, Kate Bennett, Ethan Will Taylor, Jinsong Zhang. Association between regional selenium status and reported outcome of COVID-19 cases in China. The American Journal of Clinical Nutrition, 2020; DOI: 10.1093/ajcn/nqaa095

Onat Kadioglu, Mohamed Saeed, Henry Johannes Greten, Thomas Efferth. Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning. Bulletin of the World Health Organization, March 21, 2020; DOI: 10.2471/BLT.20.255943

Selenium, recovery, covid-19, sars-cov-2, honeysuckle, hepatitis C drugs, honey suckle, selenium levels, virus, virus mutation, recovery rates, simeprevir, paritaprevir, grazoprevir, velpatasvir, selenoproteins, selenium status, immune system, viral mutation, cure rate, viral pathogenicity, mortality

COVID-19 Powerful Disinfectants, Simple and Studied WHO Formulations

COVID-19 Powerful Disinfectants, Simple and Studied WHO Formulations

“We showed that both WHO-recommended formulations sufficiently inactivate the virus after 30 seconds,” as Stephanie Pfänder sums up the results. Plus, this does not merely apply to the WHO solutions; rather, their main components, the alcohols ethanol and isopropanol, also showed adequate inactivation of the virus.

#COVID19 #SARSCOV2 #Disinfectant

Disinfectant I

80 volume percent ethanol,

1.45 volume percent glycerine

0.125 volume percent hydrogen peroxide.

Disinfectant II

75 volume percent isopropanol,

1.45 volume percent glycerine

0.125 volume percent hydrogen peroxide

Inactivation of Severe Acute Respiratory Syndrome Coronavirus 2 by WHO-Recommended Hand Rub Formulations and Alcohols

(non verified) Department of Homeland Security COVID-19 Science and Technology Report.

Scribd link :

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In conclusion, we found significant relationships between vitamin D levels and the number COVID–19 cases and especially the mortality caused by this infection. The most vulnerable group of population for COVID–19 is also the one that has the most deficit in Vitamin D.

**Physical Distance NOT Social Distance Commentary

#vitaminD #covid19 #sarscov2

The role of Vitamin D in the prevention of Coronavirus Disease 2019 infection and mortality DOI:10.21203/

COVID-19: Genetic network analysis provides ‘snapshot’ of pandemic origin

Vitamin D deficiency in Ireland– implications for COVID-19.Results from The Irish Longitudinal Study on Ageing (TILDA)

The Functional Medicine Approach to COVID-19: Virus-Specific Nutraceutical and Botanical Agents

Researchers find low magnesium levels make vitamin D ineffective

Suicide Mortality and Coronavirus Disease 2019—A Perfect Storm?

covid-19, sars-cov-2, vitamin d, status, treatment, prevention, deficiency, elderly, susceptibility, d2, d3, relationship d covid-19, covid-19 a, covid-19 b, covid-19 c, magnesium , Coronavirus, sar, cov

COVID-19 New Drug Concerns, Research Breakthroughs And Updated Mortality Statistics

COVID-19 New Drug Concerns, Research Breakthroughs And Updated Mortality Statistics

A brief look at glucocorticoids, the Lancets updated mortality statistics, Hydroxychloroquine risks, lung treatments, viral treatment, and stem cell treatments

The Lancet Infectious Diseases: Comprehensive COVID-19 hospitalisation and death rate estimates help countries best prepare as global pandemic unfolds

Mayo Clinic outlines approach for patients at risk of drug-induced sudden cardiac death in COVID-19

Individuals taking class of steroid medications at high risk for COVID-19

Perhaps we will not need all the ventilators after all

HSC professor on team using stem cells to combat COVID-19 pneumonia

Nafamostat is expected to prevent the transmission of new coronavirus infection (COVID-19)

Researchers investigate potential treatments for COVID-19

COVID-19: Stopgap measure to treat respiratory distress

COVID-19 Infection and Mortality Rate Questions

COVID-19 Infection and Mortality Rate Questions

Person-to-person transmission of SARS-CoV-2 occurred between two people with prolonged, unprotected exposure while the first patient was symptomatic. Despite active monitoring and testing of 372 contacts of both cases, no further transmission was detected

The RKI added: ‘We don’t consider post-mortem tests to be a decisive factor.

‘We work on the principle that patients are tested before they die.’

But this means that if a person dies in quarantine at home and does not go to hospital, there is a high chance they will not be included in the statistics, as Giovanni Maga of Italy’s National Research Council pointed out in an interview with Euronews

First known person-to-person transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the USA. The Lancet, 2020; DOI: 10.1016/S0140-6736(20)30607-3

COVID-19 and the Risk to Health Care Workers: A Case Report

Published: Ann Intern Med. 2020. DOI: 10.7326/L20-0175

cov19, covid19, sarscov2, SARS-CoV-2 test, SARS-CoV-2, infection, risk, contagion, pathogenicity, pathogen, mortality, diagnosis, data collection, covid-19, statistics, mutagenesis, data, protection, Health care workers, person-to-person transmission, transmission

Recent Nutraceutical Research into RNA virus infections including influenza and coronavirus

Recent Nutraceutical Research into RNA virus infections including influenza and coronavirus

Recent Nutraceutical Research into RNA virus infections including influenza and coronavirus

“Therefore, it is clear that certain nutraceuticals have antiviral effects in both human and animal studies,” commented Dr. DiNicolantonio. “Considering that there is no treatment for COVID-19 and treatments for influenza are limited, we welcome further studies to test these nutraceuticals as a strategy to help provide relief in those infected with encapsulated RNA viruses.”

#covid19 #coronavirus #protocolresearched

M.F. McCarty and J.J. DiNicolantonio, Nutraceuticals have potential for boosting the type 1 interferon responseto RNA viruses including influenza and coronavirus Progress in Cardiovascular Diseases,https: //

#covid19 #coronavirus #protocol