COVID-19 - Oceania - 20-08-09

Data from JHU, ca. 9:00 CET

Oceania is a Group with the following members:
Australia - Fiji - New Zealand - Papua New Guinea

Go to the data tables


absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 23207 57.4 339 1.48% 1.87%
Active cases 9395 23.2 317 3.49% 1.31%
Deaths 339 0.8 18 5.61% 3.39%
Recovered 1347333.340.03%1.72%
Deaths per infected 1.46%
Recovered per infected58.06%
Active per infected 40.48%
Deaths per recovered 2.52%
Projection:
Total Case Percentage
0.23%

Gives the time necessary to double the existing infections - to reach a million from the existing status, or to reach the population limit of the given group (which can well be below a million). This assumes the exponential growrate of the last day or average of the last five days continues - which it does not, as there will be saturation towards the maximum. Please take these calulations with two grains of salt. As long as there is turning point in sight the data may well hold, though.
Last days rate Last average rate
Time to double cases 47d 2h 37d 10h
Time to reach a million cases 255d 17h203d 5h
Time to saturate the population>1yr >1yr

A ranking may taste a bit fishy, as this is not a competition between countries, but to compare the relative efficiency of measures taken, or for detecting which countries are likely to get critical next, this ranking imho deserves a place in this overview.
Total: 189Population na
Total casesCases per 100.000Average grow rate (5 days)
Infected na 115 41
Active na 89 63
Deaths na 117 15
Recovered na 111 49
The ranking is made over all groups and countries, including small or recent that are ommitted in the table on the front page - which may lead to minor discrepancies between both!

Diagrams

Members of Group: Oceania

Australia - Fiji - New Zealand - Papua New Guinea

Data by Country


Click on the header to sort - Click on the name for the countries dashboard! - Only countries with more then 100 infections and more then 100.000 citizens are listed!
Click top row to sort:±±±±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredInfectedActiveDeathsRecoveredInfectedDeathsInfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
infected
absolute valuesPercentage growthrate 5dTime to doubleCases per 100.000% / ratio
Australia25.653213979208313118761.931.213.641.9236d 5h19d 9h83.435.91.246.32.61:37.90.56
New Zealand4.9721569212215260.0-0.830.00.0131.60.40.430.71.41:69.40.97
Papua New Guinea8.9421415835313.9812.1110.09.975d 7h7d 6h2.41.80.00.65.71:17.70.25
Oceania40.45232079395339134731.871.313.391.7237d 10h20d 19h57.423.20.833.32.51:39.70.58

More Data by Country

Click top row to sort:±±±±±±±±±±±±±±±
CountryPop (mio)InfectedActiveDeathsRecoveredDeaths per RecoveredRecovered per
infected
Deaths per infected ... days agoPossible
Total %
Country
absolute values% / ratio0d5d7d10d14d
Australia25.653213979208313118762.61:37.90.560.010.020.020.020.020.33Australia
New Zealand4.9721569212215261.41:69.40.970.010.010.010.010.010.12New Zealand
Papua New Guinea8.942141583535.71:17.70.250.010.020.030.030.050.01Papua New Guinea
Oceania40.45232079395339134732.51:39.70.580.010.020.020.020.020.23Oceania

Heinsberg study

A study of the University of Bonn on the spread of Covid-19 at Heinsberg - the most affected county in Germany - showed a rate of deaths to infected of 0.37%. As this is the first reliable data on this ratio I use it as a projection from the number of reported deaths to the spread of the disease in the whole population, given as percentage. Note that locally other factors, like a developing spread, unreported deaths or a situation where people are more prone to die due to an overstretch of the health system will affect this number. Countries with a different population structure (eg. more young vs. old) may also get other ratios, so take this with a grain of salt - I will keep an eye on the developing scientific results.
Links (German):
Preliminary results - Press coverage: Die Welt