SARS-CoV-2/CoVid-19 Data Week 24

The latest report is at  https://www.rangutan.eu/sars-cov-2-month-2020-06/  and then monthly. I am keen to see developements in Africa and South America in their winter season and what happens when the airlines and tourism starts functioning again. This covid-virus will surely reach every-one on earth eventually. I belong to four of the six risk groups and wonder when it will hit me!

 

I finally found a companion that also measures covid-19 severance as "deaths per thousand/million citizens",  Dr. Michael Levitt also saw cumulated positive test numbers as panic maker when the best model ever was given to us by the cruiseship "Diamond Princess".  See https://www.youtube.com/watch?v=sEbcs37aaI0

 

In this report:

• Image 24.1  Covid in World Regions 2020-06-13
• Image 24.2a  Graphs of Covid Deaths per Million Citizens in G20 Nations 
• Image 24.2b  Good News Graphs of Recovery Percentages of G20 Nations
• Image 24.3  Covid by Average Age of a Nation < Exclusive
• Screenshots from Videolinks
• Image 24.12  How to Boost your Immune System
• Interesting Links

 

Image 24.1  Covid in World Regions 2020-06-13

Showing: active cases - new cases this week - deaths this week - total deaths per million - recovery percentage

 

Image 24.2a  Covid Deaths per Million Citizens in G20 Nations 2020-06-13 Why I use straight line graphs not fancy curvy graphs? The change in slope is easier to see!

 

 

Image 24.2b  Good News Graphs of Recovery Percentages of G20 Nations

South Korea? Saudi Arabia? UK? (UK does not report recoveries, I guessed 66% of cases

USA lagging horribly, perhaps doctors want to squeeze more money out of patients?

Korea corrected on 2020-06-29

 

Image 24.3  Covid by Average Age of a Nation (Column "Ma")

Here the first column shows the average age of each nation.

Boomer dominant nations 55-40:    Average deaths per million = 150        Average recovery rate = 81

Millenial dominant nations 39-21:    Average deaths per million = 29        Average recovery rate = 69

Generation-Z domination 20-15:     Average deaths per million = 4         Average recovery rate = 43

Without detailed medical stats, here by demographic data, covid is obviously killing the older generation!

Why is it there an  opposite effect with recovery rates?

 

Image 24.8 Screenshots from Scepticat

 

24.9a  Strongest Social Distancing is in USA

 

24.9b Countries with least Social Distancing

 

Image 24.10  How long the virus stays active on material

 

Image 24.12  How to Boost your Immune System (from Veronica Esslerova)

 

Interesting videos this week:

What happened to the elderly https://www.youtube.com/watch?v=QGxg2qXVL00 by Scepitikat

Lockdowns after peaks https://youtu.be/fW_0rxXnHZ0?t=57 by Sky NewsAustralia

My observed facts, observations, conclusions and suspitions:

Not all nice but obvious! Please let me know, with proof, where I can be wrong.

• CoVid-19 is more highly contagious and quite deadly virus for people in distinct risk groups.
• The "Diamond Princess" should be the model of true covid data: 13 deaths for 712 cases (2%) av.age 68 years
• everyone in major cities of the world will contract the covid-virus within a few years eventually
• flattening the curve does not stop deaths, it extends lives for a few months
• it is deadly to most elderly persons with other serious illnesses
• the best precaution against covid is a good immune-system supported by vitamins, minerals and herbs
• polititians and media have failed and refrained from informing the public how to improve immune-systems
• vaccines kill a lot of people, have horrible side-effects and disables millions of patients.
• the black folks in UK are dying more than whites but they are not eating the nourishment of their ancestors
• USA is suffering most from obesity and eating junk-food, sugar, food-coloring and excess processed foods
• countries that eat hot-spicy foods are better off
• governments are pleased that they will save on paying pensions and medical bills
• governments are pleased to reduse the amount of elderly citizens that do not pay taxes
• some millenials are releaved not to have to worry about the elderly and benefit from inheritance of wealth
• covid chases tourists, technology and I.Q. most easily
• accumulated case numbers is misguiding the public and causing fear
• numbers tested are not important, the death rate is more important
• deaths per million citizens is the only correct covid comparison between countries
• the southern hemisphere goes into winter but winters are mild, covid will not spread as rapidly as the north
• with less lock-down, Sweden, Belarus, Japan, Thailand and Brazil will not have a second wave next winter.
• 60 million folk go in to poverty from lock-downs, all that we have done to fight poverty the last 30 years is lost
• people will in future spend less money on luxuries and fancy holidays
• air-conditioning spreads viruses rapidly. Some countries do not use air-conditioning. 
• why do some countries not report covid recovery numbers?
• to reduce world population, more viruses will be invented and released on the public

The full updated and complete downloadable interactive (sortable-by-column) spreadsheet of my data, for all 239 countries and dependancies containing 20,000+ values. Open-source, please use, download, share  https://docs.google.com/spreadsheets/d/1clCjQQ11QlOpiDQ6VUVxof1SwDNFJkcNdggKJ1Ba1mA/edit?usp=sharing

 

  

Summary of previous reports showing highlights:

Week 23 Covid vs Happiness Index & Airtraffic

Week 22 Why I do these reports

Week 21 Covid again by world regions, special graphs  for the Americas and Africa

Week 20 Covid vs Chilli, obesity, rural vs urban

Week 19  Population Density, IT-reach, I.Q., 5G

Week 18  Recovery percentages 

Week 17  Graphs per 1000 citizens

Week 16  Cases and deaths now per thousand, yearly flu visits.

Week 15   5G question 

Week 14   Case update by IT-reach, average I.Q., pollution-indicies and by median age of a country.

Week 13   First recovery data, cases by world regions.

Week 12   Cases by north-south of latitude 27°N, questioning case and death numbers.

Week 11    Cases by IT-reach, average I.Q., pollution-indicies and by median age of a country.

Week 10   China 80% of cases, Cases worldwide by tourist-volume

 

Footnote: Nearing Doomsday! If I get this virus, I have only a 20% chance of survival? I belong to FIVE of six risk groups and live in the middle of a previous hotspot!"  Perhaps I had "it" in January when I was horribly down with flu for three weeks or in March when I had a high temperature for 24 hours!" RRG