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
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
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
R_eff in LGAs of concern* vs the rest of NSW (*all of Penrith included):
LGAs of concern: R_eff = 1.99 ± 0.08
Rest of NSW: R_eff = 1.95 ± 0.11
(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 = 2.21 ± 0.26
Illawarra region: R_eff = 2.80 ± 0.27
Western New South Wales: R_eff = 3.66 ± 0.56
(Cases shown on a log scale)
(note region-specific data is several days old, does not include today's cases)
#covid19nsw #covidsydney
Cases in NSW if the current trend continues:
day cases 68% range
Sun: 43623 40364—46933
Mon: 45969 42339—49657
Tue: 47790 43879—51777
Wed: 48987 44846—53184
Thu: 49444 45214—53748
Fri: 49201 44969—53503
Sat: 48269 44101—52427
Doubling time is 6.6 days.
Share this Scrolly Tale with your friends.
A Scrolly Tale is a new way to read Twitter threads with a more visually immersive experience.
Discover more beautiful Scrolly Tales like this.