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7 Underlying diseases possibly causing high risk mortality when combined with Covid 19


4MyEgo

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The Center for COVID-19 Situation Administration (CCSA) has revealed what it considers the high-risk groups who have a high chance of mortality when they get infected with COVID-19.

 

According to the record of COVID-19 fatalities from 1 April to 10 May 2021, the top three risks are (1) people who have high blood pressure, (2) people who are diabetic, and (3) people who have high cholesterol. Those who have a high risk should strictly follow the prevention guidelines and measures.

 

May be an image of text that says "-7 UNDERLYING DISEASES POSSIBLY CAUSING HIGH RISK OF MORTALITY WHEN COMBINED WITH COVID-19 HIGH BLOOD PRESSURE 73% 에 DIABETES 55% HIGH CHOLESTEROL 30% CHRONIC KIDNEY DISEASE 17% HEART DISEASE 13% OBESITY 8% LUNG DISEASE 8% THE INFORMATION ON COVID-19 FATALITIES IS FROM 1 APRIL το 10 MAY 2021. https://thailand.prd.go.th f PR Thai Government"

Edited by 4MyEgo
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this pictures they forgot to mention the real number ONE that makes the differences. This is the blood type. Bloodtype is more important the the 7 underlaying symptoms. Blood Type O has the least problems and are the least seen in hospital regardless the underlaying problems. Beside that also some DNA sequences are indicators of problems as well that black colored people seem to have more problems then Asians and Caucasians. Blood type A is having the most problems the followed by blood type AB and B.

this you can find back in the many research reports around the world.

 

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This is showing Covid mortality risk factors - or - the overall prevalence of diseases like high blood pressure, diabetes, and high cholesterol in the total population of the most susceptible to Covid mortality, i.e., the aged population? The number 1 Covid mortality risk factor is age as the aged tend to have large numbers of members with one, two, or multiple risk factors.  Great article to frighten the unwashed and ignorant masses with.  Boo!

"There are lies, da*m lies, and statistics."
 

Edited by connda
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