Showing posts with label anniversary. Show all posts
Showing posts with label anniversary. Show all posts

Wednesday, September 29, 2021

COVID Deaths Rising in Cambria County and my 11th Anniversary Post.

The 11th anniversary of this blog has snuck up on me with all my other tasks in life.  I have still been tracking the coronavirus numbers in Cambria County with alarm.  The pandemic has preoccupied my posts since the first case was reported here on March 23, 2020 so I thought I would take a look at how it has impacted the blog.  First however I will look at the recent rise in cases and deaths.

The seven day average for new cases in the county rose from 0.71 per day on July 10 to 78 per day today, a 110 fold increase.  Until yesterday the deaths rose to a lesser extent.  There was a stretch from July 1 until August 10 where no deaths were reported.  Since then there were 27 deaths reported with 9 of them reported in the last 2 days.  

The county now ranks 8th in PA in cumulative case mortality at 2.71%.  It ranks 6th in population adjusted mortality, and 7th in population adjusted cases.

The 7 day average for deaths on July 10 was 0 per day.  Today it is 1.78 per day, about an 18 fold increase.  With the third booster shot along with the first 2 shots being given to the most vulnerable populations, the mortality rate is unlikely to reach the same terrible levels that it reached last winter.  Clearly many of the recent deaths were preventable.

I am now going off on a tangent for my anniversary post to look at what impact the pandemic has had on my blog.  Above is a screenshot of the google analytics page for traffic to this page.  The graph shows the period from when the first case was reported until today (blue line) and the preceding period (orange line) for every month.  Generally we see greater traffic for every month of the period of the pandemic. 

We see that the number of users increased by 54% and the number of new users increased by 52%.  The number of returning users (as a percentage of total users) increased from 5.6% before the first case to 12.3% after.  The number of pageviews increased by 103% while the pages per session increased by 23%.  The bounce rate decreased by 35% which means that fewer users were not interacting with the page.  The average session duration did decrease from 42 seconds before the pandemic to 25 seconds during.

I am happy to disseminate information about the difficulties that Cambria County faces.  I wish I had better news to give.  I will continue to sound the alarm.

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Sunday, March 21, 2021

One Year of Corona Virus in Cambria County

March 23 will be the one year anniversary of the first case of coronavirus in Cambria County.  The graph above shows the trend in cases and vaccinations over the past year.  The graph below shows the trend in deaths.  The first death was reported on April 7.  The county now (as of this writing) has 12,059 cases, 402 deaths, and 19,664 full vaccinations.  As I update the numbers on Google sheets, the numbers on the graphs in this post will be updated.

I have been tracking the number of cases and deaths almost every day over the past year.  It has been a labor of love keeping track of the pandemic here.  The feedback has been mostly positive to this effort.  As more publicly available data has been released over the year, the effort has taken more and more of my time every day.  In addition to the daily posting of numbers, I have written 34 out of 47 posts on corona virus on this blog.  The more insights that I can provide for the public to guide decision making the better.

In This Together Cambria is putting together a slideshow showing the resilience of the area to the past years challenges.  Submissions are due by March 26.  One story I can add is the passing of Rosie Caeti, an old family friend who passed away last on March 13 from complications from Corona Virus at 87.  She used to babysit my dad when he was young.

Soon, the county health rankings for every county in the US will be released for 2021.  I do not yet know how or if coronavirus deaths will factor into the rankings.  

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Monday, September 28, 2020

10 Years of CSI without Dead Bodies: the top 18 posts of All Time

The tenth anniversary of this blog is now upon us.  It just happens to coincide with the publication of my book.  The blog has been a source for much of the content for the book.  I will be having a book signing on October 9 at the Chameleon Bookstore.  

I wanted to present the top posts for the whole history of the blog but Google Analytics changed its algorithm so that is presents data for the last 3 years.  Blogger does have a built in stat counter so I will use that.  The built in counter does not filter out bot traffic very well but it's all I have.  It provides only the top 18 posts of all time.  

18. Greta Thunberg and Young Idealism

This post from Sept 2019 discusses the Swedish climate activist's trip to the US.

In November 2018, I created a poll on the blog for the greatest nonfiction book of all time (which can be voted on in the poll above) in response to the Great American Read poll that PBS conducted.  This post looks at the early results of the poll.

16. Do you Hear What I Hear? Sounds like Passing the Buck

This was a post on Christmas Eve about the song.  This post may have been buoyed by spam and/or bot traffic.

15Do NBA Coaches who didn’t play in the NBA fare the same as NFL Coaches?

In this post I took a look at how elite NBA coaches who played in the NBA fared compared to those who did not.  I also compared the elite NBA coaches to elite NFL coaches to see if playing in the league made a difference in their performance.

Another look at the best nonfiction book poll results.

This post takes a look at the algorithms that social media companies use to keep eyeballs focused on their sites.  This is the first post on this list that was made before I bought a domain name for the site.  It saw a surge in pageviews after the domain was bought.

This post looks at how Trump shutting down the government in early 2019 and why the polls were preventing him from repeating the act to get his border wall funded.

As preparation for the Democratic Presidential Primaries was heating up, I took a look at the candidates' social media followings.  More specifically I looked at what percentage of their twitter followers were real.

In the 2019 election, I took a look at the propaganda campaign against the Republican candidate for Cambria County Commissioner Jerry Carnicella.

In this pre domain post I looked at the algorithms used by onlie dating sites to make romantic matches.

In this post I looked at how National Honor Society membership and school year predicted prestige in college admission at my high school alma mater.

This post was part of a series of posts looking at campaign contributions from the healthcare industry for freshman democrats. 

This post looked at the differences in special education populations in local school districts.  This is an excerpt from my book.

This post looked at the effect of the race/ethnicity of freshman democrats in Congress and of their support for single payer healthcare on the campaign contributions that they received from the healthcare industry.

This post was another inspiration for my book which looked at factors that explained why African Americans lived to be 64.8 years old in Cambria County which was 10 years shorter than African Americans nationwide.

This was an earlier post looking at how Facebook and Twitter followings predicted the poll standing of Democratic Presidential candidates last year.  There was a strong prediction for the candidates except for Joe Biden.

This is one of the two posts on this list from the early days of this blog.  It talks about how to use Barry Sanders football statistics to explain climate change to a sportscenter junkie.

 1. Income and Life Expectancy. What does it Tell Us About US?

This is the all time most read post for the blog.  It was buoyed by a link to the BBC Documentary The Joy of Stats in 2010.  It received more than twice as many page views that the second most read post on the list.  It looked at how income predicted life expectancy for each state in the U.S. but not for the District of Columbia. 

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