NSW R_eff as of December 17th with daily cases and restrictions. Latest estimate: R_eff = 3.52 ± 0.33

Cases shown on both a linear scale (first image) and log scale (second image).

More info chrisbillington.net/COVID_NSW.html

#covid19nsw #covidsydney
R_eff in Greater Sydney vs rest of New South Wales:

Greater Sydney: R_eff = 1.76 ± 0.17
NSW excluding Greater Sydney: R_eff = 7.22 ± 1.01

(Cases shown on a log scale)

(note region-specific data is several days old, does not include today's cases)

#covid19nsw #covidsydney
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith included):

LGAs of concern: R_eff = 1.51 ± 0.15
Rest of NSW: R_eff = 4.16 ± 0.56

(Cases shown on a log scale)

(note LGA data is several days old, does not include today's cases)

#covid19nsw #covidsydney
The Hunter region: R_eff = 15.12 ± 0.22

Illawarra region: R_eff = 2.22 ± 0.99

Western New South Wales: R_eff = 2.70 ± 2.33

(Cases shown on a log scale)

(note region-specific data is several days old, does not include today's cases)

#covid19nsw #covidsydney
Expected numbers if the current trend continues:

day cases 68% range
Sat: 2644 2284—3020
Sun: 3296 2830—3795
Mon: 4109 3499—4771
Tue: 5108 4316—5993
Wed: 6351 5316—7511
Thu: 7865 6520—9402
Fri: 9717 7986—11726

Doubling time is 2.8 days.
For those who haven't seen it, please note the following thread on why yesterday's projections were unrealistic:
Also note the above trendlines are simple exponential extrapolations. In reality even if nothing is done, the curve will bend once most people have been infected. Hard to know when this will happen, but a simple SIR model that assumes we detect 20% of infections looks like this:

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Chris Billington

Chris Billington Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @Chrisbilbo

18 Dec
Figured out why my Hunter region R_eff calculation had zero uncertainty. I was literally clipping R_eff values to the "sane" assumption that it would be less than 10 in the uncertainty calculation. Some other clipping for the sake of "sanity" was also limiting the central value.
What used to be insane now isn't. Here's what the Hunter looks like with none of this clipping. Image
The clipping was there for a reason, sometimes small numbers and bad luck does produce stupid R_eff estimates. My code might now say stupid things in those contexts instead. But won't have to worry about that until numbers are smaller.
Read 4 tweets
17 Dec
They're the experts, but I think ATAGI is making the wrong call. There is a persistent bias in health regulation toward inaction in uncertain times, as if regulators are somehow less responsible for the consequences of inaction than of action. 1/🧵
Much in the article emphasises uncertainty. But we need to make judgement call with the information available. Just because of uncertainty doesn't mean the best option is doing nothing. There's no reason to privilege that course of action over any other. 2/🧵
Just as there are considerable uncertainties about the negative consequences of bringing forward vaccines, there are considerable uncertainties about the negative consequences of not doing so as well. 3/🧵
Read 4 tweets
17 Dec
NSW R_eff as of December 18th with daily cases and restrictions. Latest estimate: R_eff = 3.35 ± 0.25

Cases shown on both a linear scale (first image) and log scale (second image).

More info chrisbillington.net/COVID_NSW.html

#covid19nsw #covidsydney ImageImage
R_eff in Greater Sydney vs rest of New South Wales:

Greater Sydney: R_eff = 2.37 ± 0.27
NSW excluding Greater Sydney: R_eff = 8.55 ± 0.78

(Cases shown on a log scale)

(note region-specific data is several days old, does not include today's cases)

#covid19nsw #covidsydney ImageImage
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith included):

LGAs of concern: R_eff = 1.92 ± 0.22
Rest of NSW: R_eff = 5.57 ± 0.50

(Cases shown on a log scale)

(note LGA data is several days old, does not include today's cases)

#covid19nsw #covidsydney ImageImage
Read 7 tweets
16 Dec
Hi all,

You might have noticed my short-term projections for the NSW outbreak yesterday were pretty nuts. It turns out this projection was unrealistic, due to some approximations in my code that are no longer valid now that growth rates are higher. 1/🧵
So first, apologies. These issues are fixed now and today's projection ought to be more realistic. Secondly, gory details below. There were two problems. 2/🧵
Problem 1. smoothing. Many have noticed my "smoothed cases" line didn't actually go through the middle of the data. This is not incorrect per se, this is what correct smoothing with a symmetric smoothing window looks like when the data has a nonzero second derivative. 3/🧵
Read 16 tweets
15 Dec
NSW R_eff as of December 16th with daily cases and restrictions. Latest estimate: R_eff = 3.24 ± 0.63

Cases shown on both a linear scale (first image) and log scale (second image).

More info chrisbillington.net/COVID_NSW.html

#covid19nsw #covidsydney ImageImage
R_eff in Greater Sydney vs rest of New South Wales:

Greater Sydney: R_eff = 1.45 ± 0.13
NSW excluding Greater Sydney: R_eff = 1.81 ± 0.32

(Cases shown on a log scale)

(note region-specific data is several days old, does not include today's cases)

#covid19nsw #covidsydney ImageImage
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith included):

LGAs of concern: R_eff = 1.38 ± 0.14
Rest of NSW: R_eff = 1.65 ± 0.17

(Cases shown on a log scale)

(note LGA data is several days old, does not include today's cases)

#covid19nsw #covidsydney ImageImage
Read 6 tweets
1 Oct
VIC R_eff as of October 2nd with daily cases and restrictions. Latest estimate: R_eff = 1.53 ± 0.09

Plus projected effect of vaccination rollout.

Cases shown on a linear scale (log scale in next tweet).

More info chrisbillington.net/COVID_VIC_2021…

#COVID19Vic
VIC R_eff as of October 2nd with daily cases and restrictions. Latest estimate: R_eff = 1.53 ± 0.09

Plus projected effect of vaccination rollout.

(Cases shown on a log scale)

More info chrisbillington.net/COVID_VIC_2021…

#COVID19Vic
Expected numbers if the current trend continues:

day cases 68% range
Sun: 1591 1327—1863
Mon: 1739 1409—2100
Tue: 1896 1485—2367
Wed: 2068 1558—2644
Thu: 2246 1635—2952
Fri: 2433 1706—3288
Sat: 2631 1770—3655

Doubling time is 8.2 days.

#COVID19Vic
Read 7 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!

:(