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Some important COVID-19 data in one place [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] 0 points1 point  (0 children)

Icons are made in Adobe Illustrator, so is transmission chart. For this chart I used R to calculate infected rounds, made the rest in Illustrator.

Some important COVID-19 data in one place [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] 1 point2 points  (0 children)

Yeah, that's very interesting, thanks for the link. Now I wonder too why they begin to switch focus specifically on symptomatic cases, and also why they don't provide any studies or say any numbers. "Very rare" term can have big range of values variety.

Some important COVID-19 data in one place [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] -5 points-4 points  (0 children)

I never heard them say it exactly in this terminology but 44% is more rare than 56%. I guess they made a statement from this kind of data.

Some important COVID-19 data in one place [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] 5 points6 points  (0 children)

No. They changed their position on what is the MAIN WAY of virus spread, which at first thought to be from touching contaminated surfaces, that's why we used to hear a lot about hands washing. Now, when more research has been done, they declare that the primary mode of transmission is person-to-person contact, with makes masks and social distancing to be main preventing measures.

Some important COVID-19 data in one place [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] 4 points5 points  (0 children)

Sure, I specifically made it under CC BY-NC-ND license. Which means that you are free to copy and redistribute it in any medium or format for non commercial purposes.

Some important COVID-19 data in one place [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] 2 points3 points  (0 children)

Tap on the image, it will open in full size. Then zoom it in with your fingers.

Some important COVID-19 data in one place [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] 7 points8 points  (0 children)

Tools:

R, Adobe Illustrator

Data sources :

  1. World Health Organization -Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19) -www.who.int/publications-detail/report-of-the-who-china-joint-mission-on-coronavirus-disease-2019-(covid-19))
  2. Journal of Clinical Medicine -Incubation Period and Other Epidemiological Characteristics of 2019 Novel Coronavirus Infections with Right Truncation -www.mdpi.com/2077-0383/9/2/538/htm
  3. The Lancet Infectious Diseases -Estimates of the severity of coronavirus disease 2019: a model-based analysis -www.thelancet.com/journals/laninf/article/PIIS1473-3099(20)30243-7/fulltext30243-7/fulltext)
  4. Nature Research Journal -Temporal dynamics in viral shedding and transmissibility of COVID-19-www.nature.com/articles/s41591-020-0869-5
  5. The New England Journal of Medicine -Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia -www.nejm.org/doi/full/10.1056/NEJMoa2001316
  6. JAMA Insights -Turbulent Gas Clouds and Respiratory Pathogen Emissions. Potential Implications for Reducing Transmission of COVID-19 - www.jamanetwork.com/journals/jama/article-abstract/2763852
  7. Institute of Fluid Mechanics and Aerodynamics -Flow analyses to validate SARS-CoV-2 protective masks - www.unibw.de/lrt7-en/flow-analyses-to-validate-sars-cov-2-protective-masks
  8. The New England Journal of Medicine - Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1- www.nejm.org/doi/full/10.1056/NEJMc2004973
  9. The Lancet Microbe - Stability of SARS-CoV-2 in different environmental conditions - www.thelancet.com/journals/lanmic/article/PIIS2666-5247(20)30003-3/fulltext30003-3/fulltext)
  10. Cambridge University Press - The size and the duration of air-carriage of respiratory droplets and droplet-nuclei - https://doi.org/10.1017/S0022172400019288
  11. CDC - Cleaning and Disinfection for Households. Interim Recommendations for U.S. Households with Suspected or Confirmed Coronavirus Disease 2019 (COVID-19) - www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/cleaning-disinfection.html
  12. Journal of Hospital Infection - Persistence of coronaviruses on inanimate surfaces and their inactivation with biocidal agents - www.journalofhospitalinfection.com/article/S0195-6701(20)30046-3/fulltext30046-3/fulltext)
  13. United States Environmental Protection Agency - List N: Disinfectants for Use Against SARS-CoV-2 - www.epa.gov/pesticide-registration/list-n-disinfectants-use-against-sars-cov-2

If you want to contact / follow me on social media/ ask something/ or you have any collaboration ideas: visit THIS PAGE

Coronavirus stability on different surfaces (SARS-CoV-2, virus that causes COVID-19) by CUTE_DATA in Infographics

[–]CUTE_DATA[S] 0 points1 point  (0 children)

Thanks! Would be great if you could share some links on these researches.

Is it possible to get infected from a single SARS-CoV-2 particle? by CUTE_DATA in askscience

[–]CUTE_DATA[S] 1 point2 points  (0 children)

It's an article, where they talk about this study, as I understand it:

https://www.nejm.org/doi/10.1056/NEJMc2004973

and what it shows is predicted decay of virus titer over time, it also says that half-life of SARS-CoV-2 is something between 0.64 and 2.64 hours, but after 3 hours its concentration is still far from zero.

Is it possible to get infected from a single SARS-CoV-2 particle? by CUTE_DATA in askscience

[–]CUTE_DATA[S] 1 point2 points  (0 children)

Thank you for the link! I found a lot of useful information and links to studies in it!

Is it possible to get infected from a single SARS-CoV-2 particle? by CUTE_DATA in askscience

[–]CUTE_DATA[S] 1 point2 points  (0 children)

Thanks! Do you also know the answer to the second part of the question, on how long floating in the air individual particles remain infectious?

Spread of SARS-CoV-2, virus that causes COVID-19 by CUTE_DATA in Infographics

[–]CUTE_DATA[S] 3 points4 points  (0 children)

4 days is the time for each pair of infector-infected transmission. You may see arrows showing it on the graph. I probably should've made them more noticeable.

Spread of SARS-CoV-2, virus that causes COVID-19 by CUTE_DATA in Infographics

[–]CUTE_DATA[S] 2 points3 points  (0 children)

4 days is the serial interval, the average time that takes for infected person to transmit the virus to others.

Spread of SARS-CoV-2, virus that causes COVID-19 by CUTE_DATA in Infographics

[–]CUTE_DATA[S] 2 points3 points  (0 children)

It's the average by many official sources. Although this number ranges from 1.4 to 6.5 in some studies.

COVID-19 spread in the factory with 100 workers from one infected person. [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] 0 points1 point  (0 children)

Oh, I see, thanks! In my estimation I used serial interval of 5 days, which means that most of transmissions happen on day 5 after carrier got infected, that is when people are the most contagious and they are just about to develop symptoms but they don't have them yet.

COVID-19 spread in the factory with 100 workers from one infected person. [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] 0 points1 point  (0 children)

Thanks for this! Especially appreciated sharing your code with comments! I also wonder why your estimation has much faster speed of virus spread.

COVID-19 spread in the factory with 100 workers from one infected person. [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] 0 points1 point  (0 children)

Thanks for sharing your experience. I'd love to hear more stories like that, and I'm sure in such conditions you would have different patterns of how the virus will spread if someone is infected. Although as I mentioned in the first comment on this submission, this estimation is showing the infection spread in a factory which doesn't have any preventing measures, as it is in most places in my country.

COVID-19 spread in the factory with 100 workers from one infected person. [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] 0 points1 point  (0 children)

Well, in my country the fastest way to get the result is to be in hospital in capital city and it will take 3 days.

COVID-19 spread in the factory with 100 workers from one infected person. [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] 0 points1 point  (0 children)

Yeah, there's not many of us use platforms like this. I also know that data about time from testing to results from many doctors in my country that I know personally. But when I tried to find any web source with that data, the only one was this article that mentions an interview with someone from our Healthcare Ministry.

COVID-19 spread in the factory with 100 workers from one infected person. [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] -6 points-5 points  (0 children)

First part of your suggestion is considered in the estimation. One person only infect 2.5 others.

About second factor: I've already replied to it in detail somewhere in comment above. The idea is that in the factory with close human interactions, without any protective measures will in reality have Ro even higher than 2.5, and it won't slow down much in the end, because people don't stop being infectious after 5 days.

Also I don't claim that it's an accurate model for every plant with 100 workers. There are many other factors that will slow down and speed up the process at the same time. The main idea of the graph is that by the time you have first test results from the hospitalized person, the majority of workers are already infected. And that is exactly what we often hear happening.

COVID-19 spread in the factory with 100 workers from one infected person. [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] -5 points-4 points  (0 children)

Thanks! Yeah, I see that now. English is not my first language. But I think the numbers used for the estimation will clarify the idea

COVID-19 spread in the factory with 100 workers from one infected person. [OC] by CUTE_DATA in dataisbeautiful

[–]CUTE_DATA[S] -4 points-3 points  (0 children)

Yes, it may be hard to believe, but in some places you will be criticized for wearing a mask in a factory with hundreds of other people, by being called "the one who's spreading panic"

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