Latest Update: A Surge Appears to Be On Its Way
It’s been a while so it is time for an update on the coronavirus. The US has quietly been undergoing a tiny surge, nothing like back in January or February with the first Omicron, but there is a surge going on in the Northeast and Midwest.
Note on sources of data: For graphics concerning continents or countries around the world, the source is Wikipedia. For graphics covering the US and the regions, the source is the CDC. See for further information at end of post.
In image 1, I circled where the cumulative cases are starting to go up rather than remain on that flattened curve – a sign of a surging rise of cases. I also pointed an arrow next to the US in the table. We used to be at the bottom of the table, if not completely off of the table, but now we are back at the number 1 place – another sign of surging cases. Completely understandable since everything has opened back up, companies are demanding their employees come back to the office, mask mandates have gone away, and Americans are going about their lives as normal.
In image 2, while all of the other continents are going down, US is going up. (Yes, US is not a continent – I just like to look at US alone.)
If those graphics weren’t convincing that we look like we are going to have a surge, maybe these images devoted to the US will do the trick.
Where are the surges occurring? To me, it looks like most of the Northeast and some of the Midwest.
Side Note: I had some problems working with the PDF output from Power BI, so everything is either off to one side or smaller than usual. My machine has been undergoing some kind of updates so I’m hoping in the near future, everything will correct itself and settle down into some kind of working fashion.
My own hometown is probably about to go through a surge. The decline in cases has bottomed out and appears to be on its way up again.
The news said earlier that the Northeast probably should bring back out the masking rules for indoors, so it looks like we will be back to some kind of masking or safety kind of precautions, especially for those with vulnerabilities.
Also, North Korea is having a scary surge. Supposedly – I say supposedly because I’m having a hard time believing the North Koreans – North Korea was able to seclude itself from the world and had no coronavirus during the last two years. The leadership also refused to accept the vaccines from the rest of the world, so the population is totally unvaccinated.
And now North Korea is undergoing a surge from the Omicron virus, the most contagious version. Not good. Not good. The people are unvaccinated, their health is already compromised through starvation and malnutrition, and their medical infrastructure is bad. These combination of factors sounds like North Korea is about to undergo a disaster. I hope their leadership accepts any medical help from the outside world because the news sounds like it is going to be bad there. For the first time ever, North Korea is showing up in my Wikipedia data (and I presume also in the John Hopkins University data).
Sources of Data
WORLD : Cases and deaths from Wikipedia website https://en.wikipedia.org/wiki/COVID-19_pandemic_by_country_and_territory
US and STATES : Five main sources of data are available – Wikipedia, COVID Tracking Project, CDC, JHU, and HHS
Wikipedia: Wikipedia has broken out their tables into four links, separating out the cases from deaths and separating out the years.
New Cases 2021: https://en.wikipedia.org/wiki/Template:2019–20_coronavirus_pandemic_data/United_States_medical_cases
New Cases 2020: https://en.wikipedia.org/wiki/Template:COVID-19_pandemic_data/United_States_daily_cases_in_2020
New Deaths 2021: https://en.wikipedia.org/wiki/Template:COVID-19_pandemic_data/United_States_daily_deaths
New Deaths 2020: https://en.wikipedia.org/wiki/Template:COVID-19_pandemic_data/United_States_daily_deaths_in_2020
COVID Tracking Project: The COVID Tracking Project was a collaborative effort of free labor overseen by The Atlantic. This project ended on 3/7/2021. The Atlantic’s COVID Tracking Project was provided under Common Creative license “CC BY-NC-4.0” and covered cases, deaths, hospitalization, and positivity, amongst other data.
API: https://covidtracking.com/api/v1/states/daily.csv
Table: daily
CDC: CDC has become a replacement for the COVID Tracking Project for me although the data will often come in a few days later. Hospitalization comes in a week later. I’m tracking cases, deaths, hospitalization, and positivity.
Centers for Disease Control and Prevention, COVID-19 Response. COVID-19 Case Surveillance Public Data Access, Summary, and Limitations
Table: rows
API:
Cases and deaths: https://data.cdc.gov/api/views/9mfq-cb36/rows.csv
Hospitalization: https://beta.healthdata.gov/api/views/g62h-syeh/rows.csv (Good data doesn’t start until about 7/15/2020)
Testing: https://beta.healthdata.gov/api/views/j8mb-icvb/rows.csv
Positivity: https://beta.healthdata.gov/api/views/j8mb-icvb/rows.csv
John Hopkins University (JHU): I rarely show these sets of data; I mostly use Wikipedia or CDC but sometimes I like to reference the JHU.
Please cite our Lancet Article for any use of this data in a publication (link)
Provided by Johns Hopkins University
Center for Systems Science and Engineering (JHU CSSE):
https://systems.jhu.edu/
Terms of Use:
1. This data set is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) by the Johns Hopkins University on behalf of its Center for Systems Science in Engineering. Copyright Johns Hopkins University 2020.
2. Attribute the data as the “COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University” or “JHU CSSE COVID-19 Data” for short, and the
url: https://github.com/CSSEGISandData/COVID-19.
3. For publications that use the data, please cite the following publication: “Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Inf Dis. 20(5):533-534. doi: 10.1016/S1473-3099(20)30120-1”
Website https://github.com/CSSEGISandData/COVID-19
HHS: Hospitalization data for US – can be US level, state level or county level