Discover and read the best of Twitter Threads about #covidsydney
Most recents (19)
NSW R_eff as of January 9th with daily cases and restrictions. Latest estimate: R_eff = 1.41 ± 0.08
Plus SIR model projection.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus SIR model projection.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of January 9th with daily cases and restrictions. Latest estimate: R_eff = 1.41 ± 0.08
Plus SIR model projection.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus SIR model projection.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in Greater Sydney vs rest of New South Wales:
Greater Sydney: R_eff = 1.85 ± 0.09
NSW excluding Greater Sydney: R_eff = 2.32 ± 0.16
(Cases shown on a log scale)
(note region-specific data is several days old, does not include today's cases)
#covid19nsw #covidsydney
Greater Sydney: R_eff = 1.85 ± 0.09
NSW excluding Greater Sydney: R_eff = 2.32 ± 0.16
(Cases shown on a log scale)
(note region-specific data is several days old, does not include today's cases)
#covid19nsw #covidsydney
NSW R_eff as of January 8th with daily cases and restrictions. Latest estimate: R_eff = 1.69 ± 0.07
Plus SIR model projection.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus SIR model projection.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of January 8th with daily cases and restrictions. Latest estimate: R_eff = 1.69 ± 0.07
Plus SIR model projection.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus SIR model projection.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in Greater Sydney vs rest of New South Wales:
Greater Sydney: R_eff = 1.85 ± 0.09
NSW excluding Greater Sydney: R_eff = 2.32 ± 0.16
(Cases shown on a log scale)
(note region-specific data is several days old, does not include today's cases)
#covid19nsw #covidsydney
Greater Sydney: R_eff = 1.85 ± 0.09
NSW excluding Greater Sydney: R_eff = 2.32 ± 0.16
(Cases shown on a log scale)
(note region-specific data is several days old, does not include today's cases)
#covid19nsw #covidsydney
NSW R_eff as of January 7th with daily cases and restrictions. Latest estimate: R_eff = 1.76 ± 0.08
Plus SIR model projection.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus SIR model projection.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of January 7th with daily cases and restrictions. Latest estimate: R_eff = 1.76 ± 0.08
Plus SIR model projection.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus SIR model projection.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in Greater Sydney vs rest of New South Wales:
Greater Sydney: R_eff = 1.80 ± 0.09
NSW excluding Greater Sydney: R_eff = 2.02 ± 0.13
(Cases shown on a log scale)
(note region-specific data is several days old, does not include today's cases)
#covid19nsw #covidsydney
Greater Sydney: R_eff = 1.80 ± 0.09
NSW excluding Greater Sydney: R_eff = 2.02 ± 0.13
(Cases shown on a log scale)
(note region-specific data is several days old, does not include today's cases)
#covid19nsw #covidsydney
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
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 = 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
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
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
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
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
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
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
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
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
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 = 1.45 ± 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
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
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
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
NSW R_eff as of October 1st with daily cases and restrictions. Latest estimate: R_eff = 0.91 ± 0.04
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of October 1st with daily cases and restrictions. Latest estimate: R_eff = 0.91 ± 0.04
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith included):
LGAs of concern: R_eff = 0.80 ± 0.04
Rest of NSW: R_eff = 0.96 ± 0.05
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
LGAs of concern: R_eff = 0.80 ± 0.04
Rest of NSW: R_eff = 0.96 ± 0.05
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
NSW R_eff as of September 30th with daily cases and restrictions. Latest estimate: R_eff = 0.89 ± 0.04
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of September 30th with daily cases and restrictions. Latest estimate: R_eff = 0.89 ± 0.04
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith included):
LGAs of concern: R_eff = 0.80 ± 0.04
Rest of NSW: R_eff = 0.93 ± 0.05
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
LGAs of concern: R_eff = 0.80 ± 0.04
Rest of NSW: R_eff = 0.93 ± 0.05
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
NSW R_eff as of September 29th with daily cases and restrictions. Latest estimate: R_eff = 0.85 ± 0.04
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of September 29th with daily cases and restrictions. Latest estimate: R_eff = 0.85 ± 0.04
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith included):
LGAs of concern: R_eff = 0.80 ± 0.04
Rest of NSW: R_eff = 0.97 ± 0.05
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
LGAs of concern: R_eff = 0.80 ± 0.04
Rest of NSW: R_eff = 0.97 ± 0.05
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
NSW R_eff as of September 6th with daily cases and restrictions. Latest estimate: R_eff = 1.20 ± 0.05
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of September 6th with daily cases and restrictions. Latest estimate: R_eff = 1.20 ± 0.05
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith included):
LGAs of concern: R_eff = 1.28 ± 0.05
Rest of NSW: R_eff = 1.43 ± 0.07
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
LGAs of concern: R_eff = 1.28 ± 0.05
Rest of NSW: R_eff = 1.43 ± 0.07
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
NSW R_eff as of September 5th with daily cases and restrictions. Latest estimate: R_eff = 1.27 ± 0.05
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of September 5th with daily cases and restrictions. Latest estimate: R_eff = 1.27 ± 0.05
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith included):
LGAs of concern: R_eff = 1.27 ± 0.05
Rest of NSW: R_eff = 1.27 ± 0.07
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
LGAs of concern: R_eff = 1.27 ± 0.05
Rest of NSW: R_eff = 1.27 ± 0.07
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
NSW R_eff as of September 4th with daily cases and restrictions. Latest estimate: R_eff = 1.29 ± 0.05
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of September 4th with daily cases and restrictions. Latest estimate: R_eff = 1.29 ± 0.05
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith included):
LGAs of concern: R_eff = 1.27 ± 0.05
Rest of NSW: R_eff = 1.27 ± 0.07
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
LGAs of concern: R_eff = 1.27 ± 0.05
Rest of NSW: R_eff = 1.27 ± 0.07
(Cases shown on a log scale)
(note LGA data is several days old, does not include today's cases)
#covid19nsw #covidsydney
NSW R_eff as of Aug 16th with daily cases and Sydney restrictions. Latest estimate: R_eff = 1.33 ± 0.12
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of Aug 16th with daily cases and Sydney restrictions. Latest estimate: R_eff = 1.33 ± 0.12
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in LGAs of concern* (*all of Penrith included) vs the rest of NSW:
LGAs of concern: R_eff = 1.32 ± 0.12
Rest of NSW: R_eff = 1.81 ± 0.25
(Cases shown on a log scale)
#covid19nsw #covidsydney
LGAs of concern: R_eff = 1.32 ± 0.12
Rest of NSW: R_eff = 1.81 ± 0.25
(Cases shown on a log scale)
#covid19nsw #covidsydney
NSW R_eff as of Aug 15th with daily cases and Sydney restrictions. Latest estimate: R_eff = 1.33 ± 0.12
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of Aug 14th with daily cases and Sydney restrictions. Latest estimate: R_eff = 1.33 ± 0.12
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith counted as an LGA of concern):
LGAs of concern: R_eff = 1.27 ± 0.11
Rest of NSW: R_eff = 1.72 ± 0.23
(Cases shown on a log scale)
#covid19nsw #covidsydney
LGAs of concern: R_eff = 1.27 ± 0.11
Rest of NSW: R_eff = 1.72 ± 0.23
(Cases shown on a log scale)
#covid19nsw #covidsydney
NSW R_eff as of Aug 14th with daily cases and Sydney restrictions. Latest estimate: R_eff = 1.36 ± 0.13
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
Cases shown on a linear scale (log scale in next tweet).
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
NSW R_eff as of Aug 14th with daily cases and Sydney restrictions. Latest estimate: R_eff = 1.36 ± 0.13
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
Plus projected effect of vaccination rollout.
(Cases shown on a log scale)
More info chrisbillington.net/COVID_NSW.html
#covid19nsw #covidsydney
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith counted as an LGA of concern):
LGAs of concern: R_eff = 1.25 ± 0.11
Rest of NSW: R_eff = 1.70 ± 0.22
(Cases shown on a log scale)
#covid19nsw #covidsydney
LGAs of concern: R_eff = 1.25 ± 0.11
Rest of NSW: R_eff = 1.70 ± 0.22
(Cases shown on a log scale)
#covid19nsw #covidsydney
⚫️🐦 NSW wild cases
Sunday total wilds: 72 (full + part)
🐦Full wild: 46
🏃♂️Part wild: 26
🏠 Iso: 86
❔ TBD: 104
**Have made changes to this reporting. Please see footnote at end**
New daily wilds -
#covidsydney #covid19nsw #COVID19Aus #covidnsw
Sunday total wilds: 72 (full + part)
🐦Full wild: 46
🏃♂️Part wild: 26
🏠 Iso: 86
❔ TBD: 104
**Have made changes to this reporting. Please see footnote at end**
New daily wilds -
#covidsydney #covid19nsw #COVID19Aus #covidnsw
7-day trend total wilds: 78 (full + part)
🐦Full wild: 48
🏃♂️Part wild: 30
🏠 Iso: 86
❔ TBD: 79
🐦Full wild: 48
🏃♂️Part wild: 30
🏠 Iso: 86
❔ TBD: 79
14-day sum: 1001 (full + part)
🐦Full wild: 648
🏃♂️Part wild: 353
🏠 Iso: 86
❔ TBD: 998
🐦Full wild: 648
🏃♂️Part wild: 353
🏠 Iso: 86
❔ TBD: 998
⚫️🐦 NSW wild cases
Monday: 72 - 118
🐦 Full wild: 51
🏃♂️ Partial wild: 21
❔ TBD: 46
New daily wilds -
#covidsydney #covid19nsw #COVID19Aus #SydneyLockdown #covidnsw
Monday: 72 - 118
🐦 Full wild: 51
🏃♂️ Partial wild: 21
❔ TBD: 46
New daily wilds -
#covidsydney #covid19nsw #COVID19Aus #SydneyLockdown #covidnsw
7-day trend -
14-day sum -
NSW cases under investigation:
🔎20 (-3 since morning)
LGAs-
Canterbury-Bankstown: 5
Cumberland: 4
Waverley: 4 (-1)
Fairfield: 3 (+1)
Strathfield: 1
Woollahra: 1
Liverpool: 1 (+1)
Sydney: 1
Georges River: 0 (-1)
Randwick: 0 (-1)
#covidnsw #covid19nsw #covidsydney #COVID19Aus
🔎20 (-3 since morning)
LGAs-
Canterbury-Bankstown: 5
Cumberland: 4
Waverley: 4 (-1)
Fairfield: 3 (+1)
Strathfield: 1
Woollahra: 1
Liverpool: 1 (+1)
Sydney: 1
Georges River: 0 (-1)
Randwick: 0 (-1)
#covidnsw #covid19nsw #covidsydney #COVID19Aus
View of cases under investigation based on true notification dates -
Canterbury-Bankstown: 5
Outbreaks compared
🗓️Day 20
For log-scale super fans (and the rest of us) - charts comparing biggest #covid19aus outbreaks
1/6 ... 7 biggest outbreaks in NSW / VIC
👙Bondi - blue (330 cases)
covid19data.com.au/compare-outbre…
#covidsydney #COVID19 #covidnsw #COVID19nsw #COVID19Vic
🗓️Day 20
For log-scale super fans (and the rest of us) - charts comparing biggest #covid19aus outbreaks
1/6 ... 7 biggest outbreaks in NSW / VIC
👙Bondi - blue (330 cases)
covid19data.com.au/compare-outbre…
#covidsydney #COVID19 #covidnsw #COVID19nsw #COVID19Vic
2/6 ... What does it look like on a log scale?
Useful bc it doesn't only show us whether cases are growing, but how quickly they're growing
#FlattenTheCurve
Useful bc it doesn't only show us whether cases are growing, but how quickly they're growing
#FlattenTheCurve
3/6 ... 'Hold the line': 3 biggest outbreaks
Shows daily cases and 7-day averages on log scale
Useful because it shows whether we are 'holding the line' against daily growth in cases
👙Bondi - blue
🌊VIC 2nd wave - light grey (took off around now)
🍺Crossroads - dark grey
Shows daily cases and 7-day averages on log scale
Useful because it shows whether we are 'holding the line' against daily growth in cases
👙Bondi - blue
🌊VIC 2nd wave - light grey (took off around now)
🍺Crossroads - dark grey
