COVID-19 - Singapore - 20-08-04

Data from JHU, ca. 9:00 CET

Singapore is included in the following groups: Female Heads of State - Flatliners - ASEAN - Southeastern Asia - Asia - UNR Asia and the Pacific Group - WHO Western Pacific Region

absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 53346 935.3 295 0.56% 0.59%
Active cases 5865 102.8 20 0.34% 1.34%
Deaths 27 0.5 0 0.0% 0.0%
Recovered 47454832.02750.58%0.37%
Deaths per infected 0.05%
Recovered per infected88.96%
Active per infected 10.99%
Deaths per recovered 0.06%
Projection:
Total Case Percentage
0.13%

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 124d 23h 118d 8h
Time to reach a million cases >1yr>1yr
Time to saturate the populationstable stable

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 114
Total casesCases per 100.000Average grow rate (5 days)
Infected 43 17 107
Active 63 43 71
Deaths 133 138 142
Recovered 33 14 117
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

Singapore in its groups

Female Heads of State - Flatliners - ASEAN - Southeastern Asia - Asia - UNR Asia and the Pacific Group - WHO Western Pacific Region

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