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A Quiet Surge?

[Note: I thought I had posted this over the weekend but it turns out that I didn’t. The data is a couple of days old.]

Latest signs look like the coronavirus cases (such as it is with the decline in efforts to report) are rising. It looks like a slow rise compared to the other top 10 countries (by moving average) in the world.

Image 1: Top 10 countries by daily moving average

At the tail end of Image 1, you will see some lines going up. The purple is Japan, the red is South Korea and the green is the US. Image 2, shown down below, has the green US line boldfaced and you can see the line edging upward.

Image 2: Top 10 countries, the US bolded in green showing rise in cases

Here’s an image showing all of the major continents. Asia is definitely undergoing a slight surge, mainly driven by Japan and South Korea.

Image 3: Continents’ coronavirus cases by moving average

Image 4 provides some details for Asia and you can see Japan and South Korea topping the charts.

Image 4: Asia’s coronavirus status

And finally, China has been undergoing a surprising surge, although in relation to its population it is a very tiny surge. But to go from almost zero to 1000 or 2000 a day, that is kind of a jump.

Image 5: China’s current surge

By the way, China has a rather draconian Covid policy called zero-covid policy. Trying to get down to zero may be a lost cause though when the rest of the world is moving on. Japan and South Korea, some of its neighbors, have their own surges going on and I would not be surprised if there are traffic between all of these neighboring countries.

Having a severe lockdown – while seemingly logical from a disease disbursal standpoint – seems to be difficult to apply due to the fact that people have to work in order to feed, shelter, and clothe their families. Also, a lot of people need social contact to maintain their mental health. Lockdowns are probably not practical, and yet, China keeps deploying that tactic.

I do wonder how their economy will fare in the coming years.

So, does the slow upward rise of cases in the US mean the fall/winter surge is here? Only time will tell. I think it’s too early for the dramatic levels we saw in January/February 2022. We need to go through a couple of holiday gatherings for things to pick up into a steamroll – if that does happen.

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

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

url: https://healthdata.gov/api/views/anag-cw7u/rows.csv

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