Post by Mutanatia on Aug 16, 2020 3:28:09 GMT -5
Hi there,
I'm making a rough stat sheet about various coronavirus stats for a possible blog entry when all is said and done. I have the following stats and am wondering what else is relevant (no work required on your part other than to name the stats I'm missing):
State
Population
1% Population Bias (what it takes for the media to say that coronavirus has gone up 1% in the population)
Number of known people infected
Number of known people not infected
4% underreporting bias (if there were 4% more cases in the population)
1% cases bias (what it takes for the number of known people to go up by 1%)
% of known people infected in the population
%of known people not infected in the population
4% Reporting Bias (Percentage of known people infected in the population if the cases were 4% higher)
Hospitalizations
4% Underreporting Bias (Percentage of known people hospitalized from the coronavirus if the hospitalizations were 4% higher)
1% case bias (how many hospitalizations it takes to raise the total hospitalization number by 1%)
Deaths
4% Underreporting Bias (Percentage of known deaths from coronavirus if the deaths were 4% higher)
1% Death Bias (how many deaths does it take to raise the deaths by 1%)
% of known cases where someone has died (percentage of total known cases compared with deaths)
% of known hospitalizations where someone has died (Percentage of total hospitalizations compared with deaths)
Median Income
Income Ranking (ranking of media income out of all 50 states)
% Population high school graduates
High School Graduation Rankings (out of 50)
High School graduates (total number)
# of regulations and/or guidance (Went through all the guidance documents and counted how many bullet points there were
Restriction Ranking (out of 50, who has the most (1) or least (50) restrictions)
Restrictions ending (when the next phase of regulations begins)
Trump Approval Rating (overall approval rating)
For you stats guys (or gals) out there, how many other stats can you think of that would be useful in a spreadsheet like this?
I'm making a rough stat sheet about various coronavirus stats for a possible blog entry when all is said and done. I have the following stats and am wondering what else is relevant (no work required on your part other than to name the stats I'm missing):
State
Population
1% Population Bias (what it takes for the media to say that coronavirus has gone up 1% in the population)
Number of known people infected
Number of known people not infected
4% underreporting bias (if there were 4% more cases in the population)
1% cases bias (what it takes for the number of known people to go up by 1%)
% of known people infected in the population
%of known people not infected in the population
4% Reporting Bias (Percentage of known people infected in the population if the cases were 4% higher)
Hospitalizations
4% Underreporting Bias (Percentage of known people hospitalized from the coronavirus if the hospitalizations were 4% higher)
1% case bias (how many hospitalizations it takes to raise the total hospitalization number by 1%)
Deaths
4% Underreporting Bias (Percentage of known deaths from coronavirus if the deaths were 4% higher)
1% Death Bias (how many deaths does it take to raise the deaths by 1%)
% of known cases where someone has died (percentage of total known cases compared with deaths)
% of known hospitalizations where someone has died (Percentage of total hospitalizations compared with deaths)
Median Income
Income Ranking (ranking of media income out of all 50 states)
% Population high school graduates
High School Graduation Rankings (out of 50)
High School graduates (total number)
# of regulations and/or guidance (Went through all the guidance documents and counted how many bullet points there were
Restriction Ranking (out of 50, who has the most (1) or least (50) restrictions)
Restrictions ending (when the next phase of regulations begins)
Trump Approval Rating (overall approval rating)
For you stats guys (or gals) out there, how many other stats can you think of that would be useful in a spreadsheet like this?