Down, down, down
So, it looks like we might be coming down from the Omicron high. The US trend has been consistently down for a while. As a matter of fact, a large part of the world appears to be headed down. In Image 1, all continents appear to be on a downward trend.
Are we approaching a lull? I know a lot of Americans are ready to get back to normal after 2 years.
One thing to note though, all continents are still at a very elevated levels of infection, so we are nowhere near to being done.
Even the top ten countries are showing tremendous strides in infection reductions. What’s interesting about Image 2 is that Russia and Germany have overtaken the US – first time ever! That was last night, for the first time, the US fell from the top spot. Well, maybe India held top spot last March when they were undergoing the dramatic Delta surge and posting to LinkedIn requests for help in obtaining oxygen.
Still, the US has made improvements.
Note: data for the graphs pertaining to the countries around the world come from Wikipedia while data for the graphs pertaining to US states come from CDC. See box “Sources of Data” found at end of post.
Image 3 shows how the rate of increase in the US has leveled out to almost a horizontal movement rather than a vertical movement. The Image charts cumulative figures for each day rather than the daily infection count.
Individual States
Let’s look at how the individual states in each region look. I think I’m going to do only the cases and hospitalizations.
Cases First
It looks like all states, with the exception of Maine, are on a downward trend. I hope these Power BI charts are still working because this would be the first time all regions and almost all states are improving. A lot of states are still showing elevated levels though, so we are not out of the woods yet.
Hospitalizations Next
Let’s look at hospitals though because this is where overrun hospitals have adverse impact on general health care. If hospitals are overrun, then other health emergencies can’t get the care and people could die from not being able to get a bed in a hospital.
And it looks like all states are showing downward trends in hospitalization, albeit at a still elevated level, but we’re going in the right direction.
Conclusions?
Can we throw away our masks and start living life to its fullest without considering whether to gather inside or not? Personally, since the case counts are still at an elevated level, I would say, “Not so fast”. Those who are older and/or have health issues, I would say continue with the cautionary measures.
But we are going in the right direction. Let’s cross our fingers and hope that we have a real lull over the spring and summer.
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