We need a tv ad campaign that gives us basic facts and tells us what we need to do and why. It can help contain the virus and lessen panic. Do it.
Much harder these days, we have to make sure nobody takes offence.
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AFLW 2024 - Round 10 - Chat, game threads, injury lists, team lineups and more.
We need a tv ad campaign that gives us basic facts and tells us what we need to do and why. It can help contain the virus and lessen panic. Do it.
Barrister Natalie Hickey on the implications of the Commonwealth Biosecurity Act.
Coronavirus: What can Big Brother make me do?
This post answers some questions about how the Commonwealth Biosecurity Act 2015 works. The word quarantine has Venetian policy as its source. Given Italy’s role at the centre of Europe’s coronavi…sociallitigator.com
Maybe, but duck and chicken are staples here.In times like this, they should kill every single duck and chicken in the country tomorrow.
Call your GP or your local hospital. The government also has an unpublicised number where you talk to an RN for adviceA dumb question:
Say you suspect you have this - what is the mechanism to get tested?
Maybe, but duck and chicken are staples here.
We had to kill coupla hundred thousand, maybe millions of pigs 6 months ago because of swine flu. Pork is a staple so we imported to compensate.
Pork belly prices doubled...... Oh the humanity
I'd be surprised if most of SE Asia wasn't re-designated as do not travel for the virus in the coming weeks.I know someone that lives in Thailand who took a friend to hospital who was showing general symptoms. Apparently they were turned away because he hadn't been to a high risk country recently (China, Italy, Iran).
A dumb question:
Say you suspect you have this - what is the mechanism to get tested?
For deaths outside China:
Actual - 345 421 503
[TD valign="bottom"]Date[/TD][TD valign="bottom"]Forecast[/TD]
[TD valign="bottom"]5/03/2020[/TD]
[TD valign="bottom"]273[/TD]
[TD valign="bottom"]6/03/2020[/TD]
[TD valign="bottom"]330[/TD]
[TD valign="bottom"]7/03/2020[/TD]
[TD valign="bottom"]400[/TD]
[TD valign="bottom"]8/03/2020[/TD]
[TD valign="bottom"]480[/TD]
[TD valign="bottom"]9/03/2020[/TD]
[TD valign="bottom"]580[/TD]
DATE | FORECAST | CASES |
05/03/2020 | - | 273 |
06/03/2020 | 320 | 345 |
07/03/2020 | 380 | 421 |
08/03/2020 | 450 | 503 |
09/03/2020 | 540 |
DATE | FORECAST |
2020-03-09 | 540 |
2020-03-10 | 640 |
2020-03-11 | 760 |
2020-03-12 | 910 |
2020-03-13 | 1000 |
2020-03-14 | 1200 |
2020-03-15 | 1400 |
Just realised the function I thought I was using was wrong. Here's the predictions I expected:
The next week:
DATE FORECAST CASES 05/03/2020 - 273 06/03/2020 320 345 07/03/2020 380 421 08/03/2020 450 503 09/03/2020 540
~1 million dead by ANZAC Day.
DATE FORECAST 2020-03-09 540 2020-03-10 640 2020-03-11 760 2020-03-12 910 2020-03-13 1000 2020-03-14 1200 2020-03-15 1400
'Our hospitals are on their knees' says Italian doctor
The Italian doctor, a leading cancer specialist who wishes to remain anonymous, described how Italian hospitals are 'crowded with sick people' and struggling to cope.t.co
Basically 20% increase per day, with a rounding down to the nearest 2 significant figures (eg if the number was 3456 it should round to 3400). The problem was a I used a function that rounded to the nearest number, not the smallest number, meaning 3456 would round to 3500.Impulsive so far.
What is the methodology of your forecasting?
Basically 20% increase per day, with a rounding down to the nearest 2 significant figures (eg if the number was 3456 it should round to 3400). The problem was a I used a function that rounded to the nearest number, not the smallest number, meaning 3456 would round to 3500. Code here:
Python:import pandas as pd from datetime import date, timedelta df = pd.DataFrame({"DATE": [], "CASES" : [], "FORECAST" : []}) cases = 273 i = 0 start_date = date.fromisoformat('2020-03-05') while cases < 1e6: row = pd.Series() if i == 0: row["DATE"] = start_date row["CASES"] = cases row["FORECAST"] = None else: cases = cases * 1.2 rnd = -(floor(log10(cases))-1) cases = int(cases * (10**rnd)) / (10**rnd) row["FORECAST"] = cases row["DATE"] = df.iloc[i-1]["DATE"] + timedelta(days=1) df = df.append(row, ignore_index=True) i = i +1 df.to_excel('cases.xlsx')
While my mistake has been more accurate so far, I don't think it's sustainable. At some point there will be an inflection, but I don't know when. But even if I reduce the rate of increase to 10% per day we have a million dead by June.
What can curtail the rate of increase? Wuhan style shutdowns it seems. Don't think too many countries can manage it.
I agree, take those as I called them staples away from the general population and they will manage fine. Today for example is one of the no meat days of the lunar month. The bang out kick ass veggie curries and everyone is happy.I understand they’re staples and know about the pig problem too.
But these are desperate times and humans come first.
im sure they survive on veges and rice and fish while the stocks get replenished over time with clean breeding
But but but... it's the DailyMail!That link and info should be stickied for all the sceptics.
Advanced western country. Reasonable to good health system.
Overwhelmed. As always the govt here is bullshitting us.
This could get really, really ugly.
It's interesting to consider the countries that will say exceed your estimates (Italy & Iran) and those will not, and why.
Six minutes old - get it while its hot:
Six minutes old - get it while its hot:
Aren't there laws about calling yourself a doctor when you are not in fact a doctor?