When all of this is in true light I think you will see sars is much higher for example, and over the course of a year average flu deaths are over 100k in the US alone..Do I have the wrong statics from the CDC? Just asking and is why I started this post, because with the information I have, none of this is adding up
@freemo I thought I had taken into consideration that we are currently around one quarter of a year since the outbreak. What you are saying is however reassuring. I thank you for taking the time to further explain this to me...I guess we will compare notes at a later date, and hopefully a standard treatment will be found saving many lives so this will be over. The article I read yesterday stated that only about 12% of the deaths being recorded as covid being the actual cause were correct. Many that have died had as many as three underlying serious conditions, such as leukemia, terminal cancers, enlarged hearts, ect. But was being recorded as covid. Another thing I found interesting was people with a high BMI and diabetes were having greater complications, but with chloroquine most are recovering without major complications...Thank you again
@freemo True..Thank you again
@82wrangler you're welcome
@82wrangler the fact that people with underlying diseases are dying of covid adn recorded as such is an accurate claim. But you have to keep in mind we do the same thing with the flu.. If you have asthma or heart disease and get the flu and it ultimately provokes that and causes death, we would add that to the list of people who die from the flu as well.
As long as the reporting follows the same standard than we can fairly compare the numbers.
We see about the same breakdown with the flu as COVID in terms of comorbidity (underlying conditions).. that is, about 80% of the people who die from the flu have a comorbidity and about 80% of people who die from COVID also have a comorbidity. Despite that COVID tends to kill far more people all the same in terms of percentages of people infected.
If you want to compare the timeline itself its usually best to not use the beginning of the disease as the marker but the point where it gets out into the wild. a typical number used as the start date for analysis would be the data 100 people int he wild were first identified as infected, then follow the curve out from there. For COVID that has only been a month or less for some countries.