/r/COVID19_data

Photograph via snooOG

In December 2019, a novel coronavirus strain (SARS-CoV-2) emerged in the city of Wuhan, China. This subreddit is focused on visual representations of data (graphs, charts, maps, etc.) that effectively convey information about this COVID-19 pandemic.

Welcome to /r/COVID19_data

In December 2019, a novel coronavirus strain (SARS-CoV-2) emerged in the city of Wuhan, China. This subreddit is focused on visual representations of data (graphs, charts, maps, etc.) that effectively convey information about this COVID-19 pandemic.


Rules:

  1. Be Civil

  2. Avoid Reposting Info/Resources

  3. Post Topics: Data Visualizations, Data Sources, Dashboards, Useful Data Resources (All general posts should go to a related subreddit instead. Thanks.)

Useful Resources:

Related Subreddits:


If you have any questions, concerns, or ideas on how to improve this subreddit, please message the moderators.

/r/COVID19_data

2,722 Subscribers

3

I am a student doing undergrad research on COVID-19 & ADHD. It is anon & personal info is not needed. This research may benefit society by contributing to the current data on the effects of COVID-19 as it hasn’t been around long enough for us to confidently know how it may effect us long term.

0 Comments
2023/03/31
17:57 UTC

3

Changes in SARS-Cov2 nucleotide frequency through time.

Hi, these are some basic data visualization from SARS-Cov2 sequences.

https://preview.redd.it/djjnpmdlq1ia1.png?width=4151&format=png&auto=webp&s=468745eaf3f3a9ac640cdb5fb2bb6ea51deddeae

Roughly changes in the frequencies of the nucleotides inside the viral sequence appear to be correlated with the generation of new variants.

https://preview.redd.it/o5ia3kanq1ia1.png?width=4334&format=png&auto=webp&s=16594fada460018e778768ca243f151297c3b4fb

More details at.

https://tavoglc.substack.com/p/statistical-analysis-of-biological

0 Comments
2023/02/14
00:12 UTC

1

Daily Chinese City/Province COVID-19 Positive Cases dataset?

Is there a dataset that collects the positive daily COVID-19 cases for each city or province in China? And please abstain from commenting "it doesn't matter, you won't get the 'real' numbers from China anyway." I guarantee China's COVID-19 data is more comprehensive and accurate than from whichever country you're commenting. Of course they are posting the numbers, it's just hard to scrape all the data for every city due to different formatting. Here's an example. http://www.sz.gov.cn/en_szgov/news/notices/

2 Comments
2022/12/13
14:33 UTC

2

Covid first time ; when can I work out again after ?

Very mild case.

1 Comment
2022/11/15
21:07 UTC

2

if another detla type comes. they're in trouble:

0 Comments
2022/10/24
16:34 UTC

4

Characteristics and Outcomes of Hospitalized Patients in South Africa During the COVID-19 Omicron Wave Compared With Previous Waves. JAMA. Published online December 30, 2021. doi:10.1001/jama.2021.24868

“More good news from South Africa! A new paper just out with data from hospitalized patients. The study compared hospitalized patients from Omicron (“wave 4”) compared to earlier waves.

Remember, this is hospitalized patients- so a group of people probably more like the hospitalized cohorts found in the USA. Not the general population of South Africans.

Highlights:

The number of patients treated in the hospitals during the same early period of each wave differed (2351 in wave 4 vs maximum 6342 in wave 3).

This implies fewer hospitalizations, as we know that Omicron is highly transmissible.

68% to 69% of patients presenting to the emergency department with a positive COVID-19 result were admitted to the hospital in the first 3 waves vs 41.3% in wave 4.

Showing that Omicron is resulting in fewer hospitalizations.

Patients hospitalized during wave 4 were younger (median age, 36 years vs maximum 59 years in wave 3; P < .001) with a higher proportion of females.

This is interesting and will need to be explored in more depth. Is this due to natural immunity of the elderly or that Omicron is a milder disease for the elderly than previous variants? Another hypothesis is that Omicron is not infecting deep lung tissue, so the elderly are having more mild disease compared to other waves. Few elderly might mean fewer overall hospitalizations but with a young median age.

Significantly fewer patients with co-morbidities were admitted in wave 4, and the proportion presenting with an acute respiratory condition was lower (31.6% in wave 4 vs maximum 91.2% in wave 3, P < .001).

Again, this is good news all around!

Of 971 patients admitted in wave 4, 24.2% were vaccinated, 66.4% were unvaccinated, and vaccination status was unknown for 9.4%.

How this relates to the population of vaccinated and unvaccinated is a little difficult, because the SA vaccine program has significantly increased the proportion vaccinated this fall.

The proportion of patients requiring oxygen therapy significantly decreased ( 17.6% in wave 4 vs 74% in wave 3, P < .001), as did the percentage receiving mechanical ventilation.

Again, very good news!

Admission to intensive care was 18.5% in wave 4 vs 29.9% in wave 3 (P < .001).

More mild disease, even in the severe cases!

The median length of stay (between 7 and 8 days in previous waves) decreased to 3 days in wave 4.

Another super indicator of mild disease!

The death rate was between 19.7% in wave 1 and 29.1% in wave 3 and decreased to 2.7% in wave 4.

This also, should make us all very happy!

Again – remember this data is for HOSPITALIZED PATIENTS ONLY!

So, don’t let the fear-porn get to you – Omicron is coming to a town, village, city, restaurant, or grocery store near you. But for the vast majority of us, we will be fine. We have tools to fight this more mild variant, and there are life-saving treatments. Just work to stay or get as healthy as you can, eat your vitamins, eat real food and go get some exercise!”

3 Comments
2022/01/03
00:27 UTC

2

Can someone provide raw number per state in the US for COVID-19 deaths?

I ask this because I understand how percentages, per capita, or per 100K can be used to create a skewed bias.

I also understand that most COVID-19 deaths aren’t caused by COVID directly, but rather underlying health issue with a positive covid status.

If someone could provide me with data, or source of data I would like to see the truth behind these COVID-19 numbers per state in the United States.

11 Comments
2021/12/28
16:39 UTC

3

Hi all! I have made a few dancing bar graphs showing off a large dataset ai found online.

0 Comments
2021/12/07
04:39 UTC

8

Moderna’s booster is twice as effective as Pfizer’s. Pfizer’s booster twice as effective as J&J

0 Comments
2021/10/13
23:41 UTC

3

Australia stops manufacturing Astrazeneca’s COVID-19 Vaccine due to high demand from Moderna and Pfizer

0 Comments
2021/10/13
09:46 UTC

2

NYS active cases. 360,000 yesterday vs. 71,000 1 year ago

1 Comment
2021/10/13
01:56 UTC

3

Scripps Research added new data visualizations to their Variant Tracking site

As of yesterday, the Variant Tracking dashboard https://outbreak.info/situation-reports now has visualizations for prevalence of grouped sublineages (e.g. all Delta variant sublineages), breakdowns of the number of sequences per sublineage, and comparisons of sublineages by location.

0 Comments
2021/08/31
20:35 UTC

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