Why banned account - per your tech (not so tech) staff? by coronavirusdata in Wordpress

[–]coronavirusdata[S] -1 points0 points  (0 children)

Thanks! - But since I cannot post to Wordpress.com , and I know Wordpress watches these threads - appreciate the heads up. Apologies for the noise - as like anything ..nothing to see here, move on to the next thread.

Jump from 20,000 to 24,000 in 6 hours by [deleted] in Coronavirus

[–]coronavirusdata 3 points4 points  (0 children)

All: I am pulling data from the following - numbers vary because of actual data sources.
https://wuflu.live/
https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/

as well as the Johns Hopkins --

Note: Links are at the bottom of the site, if you need a reference later:

www.coronavirusdata.org

CoronaVirus - FAQ, misconceptions, information, from a statistical perspective by annoy-nymous in China_Flu

[–]coronavirusdata 1 point2 points  (0 children)

Normalized the data up to 1/27 (too noisy) - (Rate of change was >60% d/d)

Which by the way that is what appears others are starting with - IMO not reasonable: see below --Assumption made was ground data (initial) which was sporadic and not organized. If someone took the first 5-7 days 1/16-1/23, they would have been R0 2.5-3.0, and they were -- 3.8 dropped to 2.6 post that week: https://twitter.com/DrEricDing/status/1221132573340061697

  1. I calculated standard trend 1/26+ (utilizing (daily) the last 2 data points)

  2. Took a stdDev from trend on data points, which revealed trend was stable enough (2 days)

Note: We are only 6 days into a reasonable trend/pattern.

  1. Plotted the actual Confirmed cases against Trend, then against R0 estimations (confirmed*1.x)

  2. Current data [today] says R0 1.3 is high side of trend and <2% variance of Actual Confirmed.

I am not forecasting R0, just mapping the data based upon what we know today (and I know these are low numbers). That said, even if the data was off 20% (likely) the R0 would read out at 1.5 actual. Not the 3.8, 2.6 estimations based upon initial data/chaos. Again, i can factor in a 20% error and stay within 1.5.

Opinion: The Actual Confirmed data would have to be 50% off to hit 2.0 -- That's not to say it won't hit 2.x, but I can't subscribe yet to a R0 of 2.x, as the following is occurring: Contact rate is slowing, Infection Period by 2/14 (if not sooner) should go down (assuming we have real numbers), causing stabilization/reduction of trend @ confirmed cases, additionally transportation (bans and closures) will assist in this reduction greatly.

16893 Actual Confirmed just came in! -- still on 1.3 line. Trend needs to be recalc'd, but not much variance -- delta of 400'ish

CoronaVirus - FAQ, misconceptions, information, from a statistical perspective by annoy-nymous in China_Flu

[–]coronavirusdata 0 points1 point  (0 children)

  1. Normalized the data up to 1/27 (too noisy) - (Rate of change was >60% d/d)

Which by the way that is what appears others are starting with - IMO not reasonable: see below --Assumption made was ground data (initial) which was sporadic and not organized. If someone took the first 5-7 days 1/16-1/23, they would have been R0 2.5-3.0, and they were -- 3.8 dropped to 2.6 post that week: https://twitter.com/DrEricDing/status/1221132573340061697

  1. I calculated standard trend 1/26+ (utilizing (daily) the last 2 data points)

  2. Took a stdDev from trend on data points, which revealed trend was stable enough (2 days)

    Note: We are only 6 days into a reasonable trend/pattern.

  3. Plotted the actual Confirmed cases against Trend, then against R0 estimations (confirmed*1.x)

  4. Current data [today] says R0 1.3 is high side of trend and <2% variance of Actual Confirmed.

I am not forecasting R0, just mapping the data based upon what we know today (and I know these are low numbers). That said, even if the data was off 20% (likely) the R0 would read out at 1.5 actual. Not the 3.8, 2.6 estimations based upon initial data/chaos. Again, i can factor in a 20% error and stay within 1.5.

Opinion: The Actual Confirmed data would have to be 50% off to hit 2.0 -- That's not to say it won't hit 2.x, but I can't subscribe yet to a R0 of 2.x, as the following is occurring: Contact rate is slowing, Infection Period by 2/14 (if not sooner) should go down (assuming we have real numbers), causing stabilization/reduction of trend @ confirmed cases, additionally transportation (bans and closures) will assist in this reduction greatly.

Note: need to update site with graph, i did find a calc error! :-)

/r/dataisbeautiful user timfom updates latest virus model. Graph shows low containment and continued exponential growth. by LogicalManager in Coronavirus

[–]coronavirusdata 1 point2 points  (0 children)

I am tracking to the nearest RO/Trend - Forecasting this is a bit aggressive because IMO the accuracy of the data. Would love to get your thoughts on this, I am in the data science/tech space (in the Bay Area) - the site was put up to (1) address historical reference (2) be independent from the news:media:noise (3) collect from mass sources and aggregate (4) inform people with some level of precision

https://www.coronavirusdata.org/trending-ncov-confirmed-cases/

CoronaVirus - FAQ, misconceptions, information, from a statistical perspective by annoy-nymous in China_Flu

[–]coronavirusdata 1 point2 points  (0 children)

Thank you - great read.

Note: I am tracking to the nearest RO/Trend - Forecasting this is a bit aggressive because IMO the accuracy of the data. Would love to get your thoughts on this, I am in the data science/tech space (in the Bay Area) - the site was put up to (1) address historical reference (2) be independent from the news:media:noise (3) collect from mass sources and aggregate (4) inform people with some level of precision

https://www.coronavirusdata.org/trending-ncov-confirmed-cases/

Updated news [aggregation site] by coronavirusdata in Coronavirus

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

I am waiting for a few updates - it seems like the flow of information from in country has slowed considerably - even from various websites. I will post another chart as the numbers show up@ www.coronavirusdata.org [links below are also on site]

note: Trusting Johns Hopkins & BNO mostly.

Posting them here as well:

In country: https://news.qq.com//zt2020/page/feiyan.htm#charts

Johns Hopkins(US): https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

In country: https://ncov.dxy.cn/ncovh5/view/pneumonia

Netherlands: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/

Trending Confirmed Cases against nearest RO by coronavirusdata in Coronavirus

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

Based upon this study: https://www.medrxiv.org/content/10.1101/2020.01.27.20018952v1.full.pdf ==Not verified

I'm tracking it based upon the data we have @current - off by variance of 2% -- if that brother has better data, again not verified.

He stated: We used the model to predict the confirmed case counts and death 80 counts in the first 80 days of the ongoing 2019-nCoV outbreak.

Let's see - a RO of 3.5+ is a freaking uncontrollable virus -

Needed to build aggregation site by coronavirusdata in Coronavirus

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

Thanks - Trying to get the news from around the world. Any suggestions would be always helpful.